MONASH BIOMEDICAL IMAGING AND LINKED LABORATORIES

ANNUAL REPORT 2018

Table Of Contents

Vice-Provost’s Report 4

Director’s Report 5

OverviewFacilitiesGovernance2018 Snapshot

6-7

PersonnelStaffStudents

8

Research ActivitiesMonash Biomedical ImagingAlfred Research Alliance - MBIMonash Brain and Mental HealthBrainPark®Monash Neuroscience of Consciousness

9-25

Collaborations 26

Partnerships 27

Research Outputs 28-37

Member

Supporters

Collaborators

Partners

MONASHBIOMEDICALIMAGING

2 3

activities.

During 2018 MBI scientists gave presentations at the VBIC Network meeting in October on multimodal imaging and the application of machine learning techniques in medical imaging. In December MBI hosted the annual Monash Preclinical Imaging Symposium where researchers presented the latest findings concerning cardiovascular, renal and neuroscience models of disease, using imaging techniques ranging from synchrotron x-ray imaging to simultaneous MRI and molecular imaging.

As always, I would like to thank Prof Ian Smith for his continued support and guidance for MBI during 2018. I would also like to thank Ms Sue Renkin, Chair of the MBI Advisory Board, and all of the Advisory Board members for their insight, guidance and advice regarding the operations and development of the MBI research platform. My particular thanks to Dr Lisa Hutton for her outstanding management of the day-to-day operations of the MBI facilities throughout 2018.

The success of the MBI research platform is an outcome of the dedicated effort by all MBI staff to deliver outstanding research imaging services for the university and the wider research community. The MBI teams include Administration, Clinical Imaging, Preclinical Imaging, Imaging Analysis, and Cognitive Neuroimaging. The Preclinical Imaging team at the Alfred Research Alliance was also established in 2018 with the appointment of Dr David Wright as MRI Principal Scientist. In closing, I would like to sincerely thank all MBI staff for their invaluable contributions throughout 2018.

I would like to sincerely thank Ms Sue Renkin who has served as Chair of the MBI Advisory Board since 2011. I also want to sincerely thank the MBI Advisory Board members for their insightful and valuable contributions. Their work has ensured that the MBI research platform, together with the Australian Synchrotron Imaging and Medical Beamline, is regarded as Australia’s pre-eminent biomedical imaging research precinct.

My thanks once again to the MBI Director and to all MBI staff for their excellent and dedicated work throughout the year. I look forward to seeing the outcomes and impact over the next couple of years from the new MBI research facilities and infrastructure. The effective translation of scientific discoveries to innovative and transformative applications in the healthcare industry still remains a significant challenge.

Director’sReport

Monash University’s mission is to discover and teach, and through excellence in research and education, collaborate with our partners to meet the challenges facing national and international communities. The University’s vision is to achieve excellence in research and education through a deep and extensive engagement with the world and serve the good of our community and environment.

The University’s mission and vision are underpinned by deep and enduring relationships with partners in industry, government, and non-governmental organisations as well as other universities, to solve the grand challenges of our time. Monash staff and students reflect the world we are working towards; namely a community that celebrates diversity, is inclusive, fosters innovation, and is sustainable.

During 2018 Monash Biomedical Imaging (MBI) staff have made significant contributions towards fulfilling the University’s mission and vision. During the year MBI partnered with the Monash Central Clinical School to establish an MBI node at the Alfred Research Alliance. The new biomedical imaging facilities at the Alfred node are now operational and attracting research users from across Melbourne. A unique research clinic called BrainPark was established at MBI in partnership with the School of Psychology. BrainPark has been developed to address the critical need to translate mental health research findings in obsessive compulsive disorders and addiction neuroscience into practice.

In late 2018 Monash researchers led by MBI Director Prof Gary Egan were awarded an Australian Research Council Large Equipment and Infrastructure Facility grant to establish Australia’s first Magnetic Particle Imaging capability at the Alfred site. These new developments, together with continued growth in the provision of research imaging services for both Monash researchers and external users, demonstrates the value and the impact of the MBI research facilities and platform staff.

Professor Gary EganDirector MBI and ARC Centre of Excellence for Integrative Brain Function; Distinguished Professorial Fellow, School of Psychological Professor Ian Smith

Vice-Provost

(Research and Research Infrastructure)

The University’s mission and vision are underpinned by deep and enduring relationships with partners in industry, government, and non-governmental organisations as well as other universities, to solve the grand challenges of our time.

Vice-Provost’sReport

The Monash University Strategic Plan outlines the five guiding principles of the university. Discovery - to nurture curiosity and innovation in the pursuit of new knowledge. Ambition - to be outstanding in all we do. Respect - to act ethically, fairly, transparently and with generosity of spirit. Openness - to seek out new ideas and opportunities and share our knowledge widely and Service - to be inclusive and responsive, and orient our research and education to the benefit of the whole community. These principles guide the staff at Monash Biomedical Imaging (MBI) to provide outstanding research imaging services that drive new fundamental discoveries in biomedicine and facilitate the translation of this new knowledge for healthcare improvements that benefit society.

During 2018 these strategic principles have guided a number of significant achievements at MBI including the following highlights:

• accreditation of the MBI Platform Quality Management System (PQMS);

• awarded funding from the National Collaborative Research Infrastructure Scheme (NCRIS) to establish a cyclotron and radiochemistry facility at Monash University;

• in cooperation with the Monash Central Clinical School, established a node of MBI at the Alfred Research Alliance site;

• in partnership with the Monash School of Psychology, opened BrainPark at the MBI Clayton Research Platform;

• achieved significant progress on the Helmholtz International Validation Fund to develop and construct a 7T MRI BrainPET-2 scanner, in collaboration with the Juelich Research Centre, Germany;

• cooperated with the Department of Radiology, Alfred Health to establish deep learning and machine learning applications in medical imaging

• established a new radiochemistry and preclinical imaging collaboration with the Helmholtz Centre Dresden Rosendorf, Germany;

• awarded an ARC Large Equipment and Infrastructure Facility grant to establish Australia’s first Magnetic Particle Imaging capability at the Alfred site; and

• conducted another highly successful MBI Preclinical Imaging symposium.

The diversity of advanced biomedical imaging research projects was evident in the MBI seminar series held throughout 2018. The topics of presentations ranged from interoceptive and autonomic neuroscience, to computational neuroscience and deep learning in medical imaging, and neuroinflammation and neurodegenerative diseases. Through MBI the biomedical imaging research community at Monash participates in the Victorian Biomedical Imaging Capability (VBIC) and the Australian National Imaging Facility (NIF). MBI is one of the founding consortium members of VBIC and a major contributor to the annual VBIC

4 5

The success of the MBI research platform is an outcome of the dedicated effort by all MBI staff to deliver outstanding research imaging services for the University and the wider research community.

2018SNAPSHOT

RESERVATIONS

2471

GRANTS

61MBI

22LINKED LABS

39

4743EQUIPMENT

USAGE

HRS

15CLAYTON

11PARKVILLE

2PRAHRAN

2

MAJOREQUIPMENT

PUBLICATIONS

139MBI

39LINKED LABS

100

LINKED LABS

2

PROJECTS

85CONTINUING

33NEW

52

PRE-CLINICAL

50%CLINICAL

50%INTERNAL

86%EXTERNAL

14%

GovernanceMBI has an Advisory Board with an independent chairperson that meets three times per year. The functions of the Board are to:

• assist the Director with strategic planning including advice in alignment with government policy on research infrastructure and industry trends;

Human Imaging FacilitiesHuman research studies can be performed with the following MBI human imaging and testing facilities at our main site in Clayton:

• 3T Magnetic Resonance Imaging (MRI)

• Simultaneous MR-PET

• Electroencephalography (EEG)

• Oculomotor/eye tracking

• Transcranial magnetic stimulation (TMS)

• Computer Tomography (CT)

• Neurocognitive testing and interview rooms

Preclinical Imaging FacilitiesPreclinical research can be undertaken using the following equipment:

Clayton site (Monash Biomedical Imaging)• 9.4T MRI small animal scanner

• 3T MRI large animal scanner

• PET-SPECT-CT small animal scanner

• Vevo 2100 Ultrasound

• CT large animal scanner

Prahran site (Alfred Research Alliance)• PET-CT small animal imaging system

• 9.4T MRI

Parkville site (Monash Institute of Pharmaceutical Sciences)• FLECT-CT small animal imaging system

MBI Advisory Board

Chair

Members

Deputy Chair

Ms Sue Renkin Director, Intuitively Focused; Distinguished Alumnus, Monash University

Professor Ian Smith Vice-Provost, Research and Research Infrastructure, Monash University

Professor Paul Bonnington Director, Monash e-Research Centre

Professor John CarrollDean, Biomedical & Psychological Sciences; Director, Monash Biomedicine Discovery Institute; Head, School of Biomedical Sciences, Monash University

Professor Ross Coppel Deputy Dean (Research), Faculty of Medicine, Nursing and Health Sciences, Monash University

Professor Gary Egan Director, Monash Biomedical Imaging, ARC Centre of Excellence for Integrative Brain Function, Monash University

A/Professor Nicholas Ferris Clinical Head, Monash Biomedical Imaging, Monash University

Dr Lisa HuttonCentre Manager, Monash Biomedical Imaging

Dr Michael JamesHead of Science, Australian Synchrotron

Dr Keith McLean Director, CSIRO Manufacturing, CSIRO

Dr Gareth MoorheadResearch Program Leader, Materials Science and Engineering, CSIRO

Professor Andrew Peele Director, Australian Synchrotron

Professor Stephen Stuckey Director Diagnostic Imaging, Monash Health (formerly Southern Health)

Professor Murat Yücel Director, Monash Brain and Mental Health and BrainPark, Monash Institute of Cognitive and Clinical Neurosciences, Faculty of Medicine, Nursing & Health Sciences

Overview

• monitor the utilisation of MBI facilities;

• help define appropriate metrics (key performance indicators) for the platform;

• provide representation for stakeholders; and

• make recommendations on strategies for the further development of MBI facilities and operations.

6

Facilities MBI continued to expand its world class imaging infrastructure in 2018. The majority of facilities are located at Monash University’s Clayton campus, although 2018 saw the establishment of a significant new node at the Alfred Research Alliance (ARA) site. In collaboration with the Central Clinical School, the new node, known as ARA-MBI, has been equipped with a Bruker 9.4T MRI with cryocoil capabilities and a new Mediso PET CT scanner. A Magnetic Particle Imaging (MPI) facility will also be added in 2019, as a result of a successful ARC LIEF application.

The opening of BrainPark was an exciting new addition to the MBI facilities. Led by Prof Murat Yucel, BrainPark is a purpose-built platform that enables researchers to undertake large-scale integrated lifestyle and technology-based intervention studies that will, in turn, benefit the community through more targeted, more effective, and more real solutions for people suffering from addictions and compulsions. All facilities are bookable using our existing booking system. Activities continue to ensure users can access BrainPark facilities in a streamlined manner.

We look forward to the further expansion of MBI’s capabilities, with the announcement of NCRIS funding to establish a cyclotron and expanded radiochemistry facilities at MBI.

Neuroinflammation as a mechanism, biomarker, and therapeutic target in neurodegenerative diseases

Harding IH

Immune-responsive glial cells of the brain – namely microglia and astrocytes – transiently activate in response to brain injury, infection, or other noxious stimuli. This activation leads to a local neuroinflammatory response that serves to isolate and protect the tissue, remove the noxious agent and damaged cells, and promote recovery. While beneficial in the short-term, the chronic release of pro-inflammatory chemicals (cytokines and chemokines) becomes increasingly toxic. In many neurodegenerative disorders, there is evidence that inflammatory activity is triggered in response to the causal neuropathology (e.g., amyloid deposition and early neuronal death in Alzheimer’s disease). But the chronic persistence of this neuroimmune activity actually potentially accelerates the underlying neurodegeneration, representing a target for further understanding and ameliorating disease expression and progression.

Using the hybrid MRI-PET scanner at MBI, our team are currently undertaking investigations of neuroinflammation in Friedreich ataxia and Huntington’s disease using the PET tracer [18F]-FEMPA, which binds to receptors expressed in activated microglia, acquired alongside complimentary MRI indices of structural, functional, and chemical abnormalities. This work is supported by the Friedreich Ataxia Research Alliance (FARA) and Monash University Faculty of Medicine, Dentistry, and Health Sciences.

Dr Phil WardPostdoctoral Research Fellow

Dr Sharna Jamadar Research Fellow

Dr Zhaolin Chen Head of Imaging Analysis

Dr Thomas CloseImaging Informatics Officer

Dr Kamlesh PawarResearch Fellow

Dr Shenpeng Li Research Fellow

Mr Richard McIntyre Clinical Head and Supervising Radiographer

Dr Lisa Hutton General Manager

Ms Nichola Thompson Resources Coordinator

Ms Janelle Redding (nee Giling)Administrative Officer

Ms Louise Mitchell Clinical Imaging Coordinator

Dr Michael de VeerHead of Preclinical Imaging

Dr Gang ZhengMRI Physicist

Ms Tara SepehrizadehMR Imaging Scientist

Ms Arlene HobsonMRI Radiographer, Monash Health and MBI

Ms Patricia HeidmannMRI Radiographer, Monash Health and MBI

Ms Fiona GouldMRI Radiographer, Monash Health and MBI

Mr Van VuMRI Radiographer, Monash Health and MBI

Mr Cuong TranMRI Radiographer, Monash Health and MBI

Professor Gary EganDirector, MBI and CIBF; Distinguished Professorial Fellow, School of Psychological Sciences

Professor Michael FarrellAssociate Director, MBI (Academic)

Ms Alexandra Carey Supervising Nuclear Medicine Technologist

Director Associate Director

StudentsManagement & Administration

Preclinical Imaging Imaging Analysis

Clinical Research Imaging

MBI Personnel

MBI ResearchHighlights

Ms Keira PhamMRI Radiographer, Monash Health and MBI

Ms Jing NingMRI Radiographer, Monash Health and MBI

Ms Helen KyprianouNuclear Medicine Technologist

Ms Lauren HudswellNuclear Medicine Technologist

MECHANISMS OF NEURODEGENERATION (MoND) RESEARCH

Dr Ekaterina SalimovaResearch Fellow

Ms Merrin Morrison Communications Officer

8 9

Longitudinal evaluation of iron concentration and atrophy in the dentate nuclei in Friedreich ataxia.

Ward P, Harding I, Close T, Corben L, Delatycki M, Storey E, Georgiou-Karistianis N, Egan G

Friedreich ataxia is a debilitating and fatal movement disorder defined by progressive degeneration of the cerebellum and spinal cord. There is currently an urgent need to identify sensitive biological markers of disease progression for use in clinical trials and disease monitoring. This work used quantitative susceptibility mapping (QSM) to investigate changes in the volume and iron concentration of the dentate nuclei – areas of primary pathology in Friedreich ataxia – over a 2-year period. We identified a complex interplay between atrophy and iron in the dentate nuclei and highlight QSM as a highly sensitive biomarker for longitudinal assessment and staging in Friedreich ataxia. These results have motivated the inclusion of QSM measures as outcome measures in upcoming clinical trials and in a large-scale, multi-national biomarker validation study.

The Mechanisms of Neurodegeneration (MoND) research group uses a range of MRI and PET techniques to characterise, track, and inter-relate measures of molecular, cellular, and macroscopic changes that occur in the brain of individuals with neurodegenerative diseases. These measures include markers of neuroinflammation, oxidative stress, iron dysregulation, and metabolic dysfunction. Our work principally focusses on neurogenetic diseases, including Friedreich ataxia, Huntington’s disease, and spinocerebellar ataxias, but has implications for broad understanding of the mechanistic causes or consequences of neurodegenerative processes.

Imaging markers of the neuroinflammation – neurodegeneration cycle.

Longitudinal increases in

dentate nucleus iron concentration in individuals with Friedreich ataxia, but not in healthy

controls, over a 2-year follow-up

period.

Ms Louisa DetezAdministrative Officer

Ms Alex WulffReceptionist

Ms Christina Van Heer Technical Assistant

Andrii PozarukImaging Analysis

Anjan BhattaraiImaging Analysis

Mohammed AlghamdiImaging Analysis

Mykhailo HasiukImaging Analysis

Viswanath Pamulakanty SudarshanImaging Analysis

Winnie OrchardCognitive Neuroimaging

ICON Group

Clinical Research SupportMs Parisa Zakavi Technical Assistant

Ms Jasmine Walter Receptionist

IMAGING, COGNITION, AND NEUROSCIENCE (ICON) LABORATORY

Our group brings together expertise in cognitive neuroscience, physiology, neuroimaging methods and analysis to understand brain function in health and disease. In 2018, our focus has been on the continued development of high-temporal resolution simultaneous MR-PET methods and analyses. We have been successful in demonstrating an

High Temporal Resolution Positron Emission Tomography (PET) of the Human Brain: Application to FDG-fPET

Jamadar S, Ward P, Carey A, McIntyre R, Egan G

Functional Positron Emission Tomography (fPET) provides a method to track molecular dynamics in the human brain. With a radioactively labelled glucose-analogue, [18F]-flurodeoxyglucose (FDG-fPET), it is now possible to index the dynamics of glucose metabolism with temporal resolutions approaching those of functional magnetic resonance imaging (fMRI). This direct measure of glucose uptake has enormous potential for understanding normal and abnormal brain function, and probing the effects of metabolic and neurodegenerative diseases. Further, new advances in hybrid MR-PET hardware makes it possible to capture fluctuations in glucose and blood oxygenation simultaneously using fMRI and FDG-fPET.

We compared three radiotracer administration protocols, bolus, infusion-only, and hybrid bolus/infusion protocols using FDG-PET. In the bolus protocol, the full radiotracer dose was administered at the start of the scan period. In the infusion-only protocol, the tracer was constantly infused over the duration of the scan. In the bolus/infusion protocol, 50% of the dose was administered as a bolus at the start of the scan, with the remainder constantly infused over the duration of the scan. Participants viewed a flickering checkerboard stimulus presented in an embedded experimental design, which provides both FDG-PET and fMRI contrast (Jamadar et al., 2019).

Changes in cortical thickness associated with parenthood are preserved in late life.

Orchard E, Ward P, Egan G, Jamadar S

Early parenthood results in changes in cortical thickness in regions related to parental care. However, the enduring effects of this period on the structure of the human brain, and cognition in late-life, is unknown. In an elderly sample, we examined the relationship between the number of children parented (here, 1-6 children) and cortical thickness in 267 males (74.0 ±3.5 years) and 231 females (73.8±3.5 years). We also compared cognition and cortical thickness between parents of one child and non-parents, in n=36 males (73.4±3.7 years), and n=46 females (72.8 ±3.3 years).

We obtained a positive relationship between number of children parented and verbal memory performance, showing improved memory performance with increasing number of children. For mothers, number of children positively correlated with cortical thickness in the parahippocampal gyrus and negatively correlated with regions of the visual cortex. Mothers of one child showed thinner cortex in the dorsolateral prefrontal cortex and visual cortex compared with childless women. Fathers of one child showed thinner cortex in the anterior cingulate

This direct measure of glucose uptake has enormous potential for understanding normal and abnormal brain function, and probing the effects of metabolic and neurodegenerative diseases.

10 11

Preliminary results showed that the infusion-only protocol showed the lowest uptake and signal compared to the bolus and bolus/infusion protocols. The bolus/infusion protocol showed the clearest differentiation between brain regions of interest, and the most stable signal-to-noise ratio over the course of the scan. These results suggest the hybrid bolus/infusion administration protocol is the most promising protocol for high temporal resolution FDG-fPET.

Individual subject-level results for bolus-only, infusion-only and bolus/infusion protocols. Data were reconstructed with a temporal resolution of 16sec. Top: Statistical parameter maps for each protocol, posterior view. Bottom: image-derived FDG uptake in five regions of interest (human occipital cortex hOC1-5) and one control region (frontopolar cortex FP1&2).

excellent temporal resolution of 16sec for FDG-PET; a substantial improvement on traditional methods that obtain a static FDG-PET image over 30-40mins. We have worked closely with the MBI Clinical Imaging team in the development of these protocols. In 2018, we also extended our work to examine the effects of parenthood in the human brain. As part of her

PhD project, Winnie Orchard found that structural cortical changes associated with the early parenting period appear to be sustained throughout the lifespan. We are following up these findings to examine whether changes in brain function associated with parenthood are also sustained across the lifespan.

cortex and thicker cortex in the temporal pole compared with childless men.

Our results are the first to reveal distributed differences in cortical thickness related to parenthood that are evident beyond the post-partum period. Our findings overlap substantially with the areas found to be altered across pregnancy and the postpartum period, suggesting that neural changes associated with early parenthood persist into older age, and are potentially cognitively beneficial.

(A) In mothers, cortical thickness was smaller in the visual cortex, and thicker in the parahippocampal gyrus, with increasing number of children. (B) Comparison of mothers (of one child) vs. non-mothers: mothers showed thinner cortex compared to non-mothers in the dorsolateral prefrontal cortex and visual cortex. (C) Fathers show an increase in visual cortex and temporal pole cortical thickness with increasing number of children. (D) Comparison of fathers (of one child) vs. non-fathers: fathers show increased temporal pole and decreased cingulate cortex cortical thickness compared to non-fathers.

dimensional immersive art installation.

The Vevo2100 (FUJIFILM/VisualSonics) ultrasound is now becoming a key piece of MBI infrastructure under the operation of Dr Ekaterina (Caty) Salimova, an expert small animal sonographer who joined the team in 2018 and who has greatly enhanced MBI’s research ultrasound capabilities. Caty is helping researchers perform complex cardiovascular imaging and analysis in various disease models, as well as advising on physical science experiments. There are now two research groups from Chemistry and Engineering using the Vevo2100 to develop and assess new nanoparticle and microbubble contrast agents for ultrasound diagnostics. These engineering studies have provided the basis for several interdisciplinary collaborations and new projects.

Work within the National Imaging Facility (NIF) continued in 2018 and the preclinical team’s three NIF fellows (Michael de Veer, Tara Sepehrizadeh and Gang Zheng) attended the NIF annual meeting in Sydney in 2018. This was followed by a number of engagements with the Global Biomedical Imaging (GBI) consortium. Tara Sepehrizadeh was awarded a GBI scholarship to visit the Bio-Imaging Laboratory at the University of Antwerp, Belgium and receive training in a number of new preclinical research techniques. Overall facility usage continued to grow throughout 2018 and the preclinical team continued to consolidate expertise operating all the new equipment purchased in 2017.

The MBI Preclinical Imaging team continued to grow and expand in 2018. Research project usage increased, particularly on the facility’s Inveon PET-CT scanner. Staff expertise with the upgraded Bruker 9.4 Tesla MRI scanner hardware is now well established. The preclinical team benefited from enhanced radiochemistry capabilities in 2018, with Dr Brett Paterson’s group from the Monash Department of Chemistry setting up a laboratory in the facility’s radiochemistry area, offering access to radiochemistry labeling expertise.

PRECLINICAL IMAGING

Overall usage continued to grow throughout 2018 and we continued to consolidate our expertise operating all the new equipment purchased in 2017.

12 13

Imaging the effects in bone of beta-catenin inhibitor and HDAC inhibitor combination for the treatment of multiple myeloma

Savvidou I, Wish S, Horrigan S, Khong T, Spencer A

This study aimed to show the possible anti-myeloma effect of combining low-dose beta-catenin inhibitor (BC2059) with panobinostat (HDAC inhibitor, LBH589), which inhibit the Wnt signalling pathway that is important for tumour growth. We developed a xenograft mouse model of human myelomatosis to test these drugs. We aimed to validate if this specific model is representative of myeloma at diagnosis, which in the majority of cases includes lytic bone lesions. Upon establishment of myeloma the mice were treated with vehicle, BC2059 alone, panobinostat alone or combination (five mice per cohort) for two consecutive cycles (28 days each) and followed with bioluminescence monitoring of disease burden until reaching scientific end points. Their spines were isolated after euthanasia, fixed and µCT was performed on the L5 vertebrae. Additionally, three

Non-invasive imaging of lungs using functional biodegradable nanoparticles to determine biodistribution and diagnosis of airway inflammation

Chakraborty A, Royce G, Plebanski M, Selomulya C

The Selomulya research group in the Department of Chemical Engineering, Monash University in collaboration with Immunology and Pharmacology are using the Bruker 9.4T small animal MRI to determine biodistribution of surface functionalised nanoparticles in live mice after pulmonary delivery. Lung MR imaging is very difficult as there is lack of hydrogen protons and water. The group in association with Dr Gang Zheng and Dr Michael De Veer from MBI imaged the biodistribution of natural dietary compound conjugated super-paramagnetic iron oxide nanoparticles (GSPIONs) in the lung using a 3D ultra-short echo time (UTE) protocol. The group intends to utilize the GSPIONs as clinically useful contrast agents capable of lung resident cell uptake to diagnose airway inflammatory diseases such as asthma and Chronic Obstructive Pulmonary Disease (COPD) and thus differentiate healthy versus COPD affected lung.

The number of research projects utilising the Siemens Somotom CT scanner installed in 2017 continues to grow. The research groups of Dr Alistair Evans (Monash School of Biological Sciences) and Dr Justin Adams (Monash Department of Anatomy and Developmental Biology) have now logged over 400 scan hours on the machine performing digital morphometry work on some of Australia’s key marsupial and marine mammal species. The preclinical team worked with Prof Michael Lerch’s group from the University of Wollongong to generate three-dimensional coordinates for brain tumors in rat models which were then treated with microbeam irradiation with the Imaging and Medical Beamline of the Australian Synchrotron adjacent to MBI. The CT scanner was also used in 2018 to continue training the next generation of radiography graduates from Monash University.

The Bruker 9.4 Tesla MRI hardware that was installed late in 2017 has been used for a wide variety of studies, including surgical guidance studies with Prof James Bourne’s group from the Australian Regenerative Medicine Institute. Abdominal organ pathology was studied with Prof Helen Thomas’ group from St Vincent’s Institute for Medical Research, and investigations of neural stroke mapping with Dr Connie Wong’s group from Monash Health. In the latter study, MRI imaging proved more sensitive than histology in detecting low impact stroke lesions and confirming stroke location. In 2018 MBI’s MRI Physicist Dr Gang Zheng developed a new modality to map the distribution of nanoparticles in the lungs of mice.

The Inveon-PET SPECT-CT scanner has continued to grow both in hours used and the complexity of projects and scans performed. The instrument now has the capacity to scan multiple mice at once using PET-imaging. In 2018 a SPECT project was completed looking at therapeutic antibody binding in a prostate cancer xenograph model. Work began in utilising clinical tracers used in other research areas within MBI in murine experiments, with an evaluation of F-DOPA for use in murine reward pathways performed with A/Prof Zane Andrews and Prof Alex Fornito. In a departure from its conventional research usage, in 2018 the Inveon scanner was used to scan some delicate flowers that Melbourne artist and Monash Adjunct Senior Research Fellow Valerie Sparks used to create a three-

Non-invasive 3D UTE MR imaging of the lung for biodistribution. All MR images are at slice 71. (A). GSPION vs Control (0.9% saline) sensitized mice imaged at different TEs. (B). T2* signal intensity of heart (control) in comparison to different lung segment in both left (Lt.) and right (Rt.) lobes of the lung in GSPION group. (C). T2* signal intensity of different GSPION dilutions (concentrations) showing relaxivity and darkening due to GSPIONs presence.

healthy mice of similar age were added to the cohort.

Analysis of the µCT results showed: a) that this model successfully recapitulates human myeloma disease, since it induces lytic bone lesions and b) BC2059 does not further damage the bone, either alone or in combination with panobinostat. This is important as there have been published studies showing that inhibiting the Wnt pathway can negatively effect bone metabolism.

(a)

(b)

(c)

IMAGING ANALYSIS

MR based PET attenuation correction

Accurate Magnetic Resonance (MR) imaging-based attenuation correction is crucial for quantitative Positron Emission Tomography (PET) in simultaneous MR-PET imaging. However, due to a lack of robust MR bone imaging methods, MR-based attenuation correction remains a critical issue in MR-PET image reconstruction.

In this project, we aim to substantially improve the quantitative accuracy of PET imaging in the simultaneous MR-PET scanner using template matching and deep learning methods.

Motion artefact removal in MRI

Magnetic resonance imaging has revolutionised medicine and medical research, but one of the biggest issues radiologists still grapple with are the artefacts created when patients shift around during the scan. A single magnetic resonance scan can take anything from few seconds to 30 minutes, and can resolve details less than a millimetre in size. Unfortunately, this means that if the person being scanned moves by more than a millimetre, the resulting image is distorted by ripples that can blur vital structural details.

In this project, we use machine learning methods to recognise these artefacts and remove them, giving a much cleaner image for the clinician or researcher to work with.

Synergistic MR-PET image reconstruction

Multimodal imaging systems incorporating PET and MRI acquire both functional and structural information to improve clinical diagnosis, therapy, and scientific studies in neurology and oncology. PET and MRI images have different contrasts and different intrinsic spatial resolutions however sharing the same fundamental anatomical structures.

Leveraging mutual information from PET and MRI, this project aims to develop synergistic MR-PET image reconstruction to improve both MRI and PET image quality.

Figure: (a) motion corrupted T1 MPRAGE image; (b) motion corrected T1 MPRAGE image.

PET images in absolute units of kBq/ml reconstructed using: (column A) CT map: μ-mapct, (B) DIXON map: μ-mapdixon, (C) DIXON plus MR bone map: μ-mapdixon+bone, and (D) deep learning based map: μ-mapdl. The numerical values shown are the average PET radioactivity measured within the prostate ROI.

14 15

In 2018, the Imaging Analysis team has established the research program in artificial intelligence (AI) and its application to MRI and MR-PET imaging. Several research projects have made significant progress in this area including application of deep learning attenuation correction in PET and head motion correction in MRI. A highlight for our team during 2018 was that three of our AI papers were selected for platform presentation at the 2019 International Society of

Magnetic Resonance in Medicine (ISMRM) meeting in Montreal Canada. The Imaging Analysis team has continued the development of novel image reconstruction and analysis methods to achieve quantitative MR-PET imaging. Our MR-based PET attenuation correction method has been successfully applied in [18F] PET based neurodegeneration studies and PSMA PET for prostate cancer imaging. We have implemented a MR head motion correction framework for

our users which is accessible via the MBI website. Moving forward, we aim to release more of our software for MBI users in the coming year.In 2018, we have officially migrated to the XNAT-based informatics framework at MBI. This means improved reliability and flexibility for our users. We are further extending our informatics framework to enable easy access of datasets between Monash University and hospitals.

...MR-based attenuation correction remains a critical issue in MR-PET image reconstruction. (a) ground truth PET image; (b) T2

weighted MR image;(c) PET only reconstruction; (d) synergistic MR-PET reconstruction

Magnetic resonance imaging has revolutionised medicine and medical research...

ARA-MBI ALFRED RESEARCH ALLIANCE - MONASH BIOMEDICAL IMAGINGPRECLINICAL IMAGING RESEARCH FACILITY

9.4T MR small animal MR scanner

The ARA-MBI facility’s flagship instrument is a Bruker BioSpec 9.4 Tesla MRI with 20 cm horizontal bore. The instrument includes a high-powered gradient set and four-channel, receive-only, cryogenically-cooled radiofrequency coils for unparalleled invivo rat and mouse brain imaging. Additionally, there are purpose-built room temperature coils for cardiovascular imaging in rats and mice, a carotid labelling coil for cerebral blood flow measurements, and a range of volume coils of varying sizes for animal or material imaging.

The system also includes X-nuclei capability and Sodium-23 and Fluorine-19 coils. In 2019, the system will be upgraded with a state-of-the-art architecture which will provide even faster control, improved dynamic range, and greater accuracy to position the instrument at the forefront of MR research capability worldwide.

Biomedical imaging is a key research technology to support the biomedical research sector. Small animal preclinical imaging is critical for basic, translational and clinical research in cancer, neuroscience, cardiovascular and respiratory diseases to achieve significant benefits for the healthcare of all Australians. The Alfred Research Alliance – Monash Biomedical Imaging (ARA-MBI) Preclinical Imaging Research Facility is a new facility purpose built for small animal imaging that was opened in October 2018 under the leadership of Facility Manager Dr David Wright. The facility totals approximately 260m2 in space and houses a 9.4Tesla MRI with cryoprobes for rat and mouse brain imaging, a PET/CT scanner, and FLECT.

16 17

The facility provides preclinical imaging capabilities for small animal model studies in neuroscience, immunology, cardiovascular, cancer, radiation biology, and diagnostic marker identification and radiopharmaceutical development in other applications. The facility provides support to a co-ordinated network of research capacity in biomedical imaging including access to the facility by researchers from Australian universities and medical research institutes. In November 2018 additional funding was received from the Australian Research Council to establish a Magnetic Particle Imaging (MPI) system, which will be one of only two in the country. The ARA-MBI Preclinical Imaging

Research Facility provides open access to each instrument. Since opening the facility has initiated collaborations with groups from within the Alfred and Parkville precincts, interstate, and internationally. Facility scientists with highly specialised expertise undertake multi-disciplinary collaborations involving MRI and PET/CT experiments of the highest quality. Facility scientists also contribute to the training of the next generation of biomedical imaging research scientists.

Figure. (a) The Bruker 9.4Tesla small animal MR scanner, (b) an axial view of white matter tracts in the mouse brain, and (c) multi-echo T2* images of iron distribution in the rat brain.

Figure. (a) The Mediso PET-CT scanner and (b) axial, coronal and sagittal images of F18 radioactively labelled glucose in the mouse heart.

nanoScan PET/CT animal scanner

A state-of-the-art preclinical scanner manufactured by Mediso Ltd is available at the ARA-MBI facility, providing high-sensitivity, high-resolution nanoScan PET/CT imaging that supports a wide range of applications in diverse species. The scanner integrates a PET subsystem that delivers high image quality due to a large array of industry-leading detectors and a unique 3D PET reconstruction algorithm. Both elements lead up to 0.3mm3 spatial resolution by Tera-TomoTM 3D PET reconstruction engine. Furthermore, the system has built in respiratory and cardiac gating for significantly improved image quality in the lung and chest region. With the enlarged axial field of view the system is able to very rapidly perform a whole mouse CT scan, including reconstruction.

Dr David Wright

ARA-MBI Facility Manager and MR Senior Scientist

(a)

(a) (b) (c)

(a) (b)

BMH BRAIN AND MENTAL HEALTH RESEARCH HUB (BMH)

Systems Neuroscience

The Systems Neuroscience stream seeks to understand the network organisation of the brain. Diverse brain imaging methods allow us to map how different parts of the brain connect to each other, and to understand how these patterns of connectivity influence brain function in both health and mental illness.

Some elements in brain networks have many more connections than others, making them ‘network hubs’. In C.elegans, a simple worm organism with a fully mapped nervous system, we demonstrated the relationship between gene expression and small-scale neuronal connectivity, showing that hub neurons have similar patterns of gene expression. This suggests that the observed genetic similarity of hub neurons is related to their high-level functional properties, as the majority of hub neurons are involved in guiding movement - one of the most complex behaviours expressed by the worm.

Brain and Mental Health Research Hub aims to unravel the mysteries of the brain, understand the causes of addiction and mental illness, and to develop effective interventions for improving brain health and mental wellbeing.Our research is interdisciplinary and links basic and applied neuroscience to develop new clinical interventions. In particular, we integrate computational, molecular, imaging and clinical neuroscience with lifestyle modifications, technological advances and policy considerations. Our approach allows us to translate discoveries into effective, safe and accessible treatments.Here we present highlights of our work across our seven core research streams. You can see other aspects of our work, including recent research outcomes, on our website: www.brainmindsociety.com Investigating the

transcriptional properties of neuronal connectivity in C.elegans.

...the observed genetic similarity of hub neurons is related to their high-level functional properties, as the majority of hub neurons are involved in guiding movement...

18

Computational Modelling

The Computational Modelling stream is developing new analytic methods and mathematical models to understand the brain. The core focus is on using bioinformatics and multivariate analysis to understand genetic influences on brain organisation, graph theory to develop models of how brain networks develop, and biophysical models of neural activity to generate realistic simulations of whole-brain dynamics.

Using biophysical models, we derived natural modes of spatial variations in the human cortex. These natural modes can be used to decompose spatial variations of structural morphology and cortical function. With this, we found that clinical presentations of ADHD and ASD have common, yet opposing morphological variations in modes that relate to executive functions such as working memory.

19

Brain Stimulation

The Brain Stimulation stream is investigating new ways of perturbing and altering brain function with non-invasive brain stimulation techniques to improve cognitive ability and treat mental illness. A core focus is developing new approaches for investigating the neurobiology of brain stimulation using combinations of neuroimaging, cognitive testing, genetics, and biophysical models of brain activity.

We recently lead an international team of researchers to develop the MAGIC toolbox, which allows users to control brain stimulation devices remotely through computer software. MAGIC streamlines the process of designing and implementing brain stimulation experiments, and makes it easier to combine brain stimulation with neurophysiological and neuroimaging recording methods.

Morphological differences between ADHD vs Controls vs ASD are highlighted (left) at a specific spatial scale (top right). This spatial scale is represented in functional networks associated with working memory (bottom right).

The MAGIC toolbox is used for implementing experiments, such as combined TMS-fMRI

We recently lead an international team of researchers to develop the MAGIC toolbox, which allows users to control brain stimulation devices remotely through computer software.

Prof Murat YücelCo-Director

Prof Alex FornitoCo-Director

Prof Leonardo FontenelleVisiting Professor of Clinical Neuropsychiatry

Dr Chao SuoLab Manager and Research Fellow

Marianne OldehinkelResearch Fellow

Dr Nigel RogaschARC DECRA Fellow

A/Prof Adrian CarterNHMRC Career Development Fellow

Dr Rebecca SegraveDavid Winston Turner Senior Research Fellow

Assessment

The Assessment stream investigates the convergence of cognition, behavior and technology to phenotype the core cognitive and behavioural constructs across mental health and illness. Using integrated knowledge of clinical and cognitive neuroscience, we translate this into engaging and accessible technologies that are clinically useful and have the potential to be commercialised in the treatment of mental health conditions.

Our BrainPark Assessment of Cognition (BrainPAC) Project has developed a one-of-a-kind electronic battery (with industry partners Torus Games and Cogstate) that is engaging and clinically useful for the assessment and monitoring of individuals across the spectrum of impulsive-compulsive disorders. Pilot data has already shown that the tool is as valid and reliable as, and more engaging than traditional scientific measures. Findings also show that the innovative tool is sensitive to addictive and compulsive behaviours. An NHMRC project grant will scale up the project to 10,000 individuals across Australia and the United States.

BMH Personnel

Staff

Dr Kevin AquinoResearch Fellow

Dr Rico LeeResearch Fellow

Dr Lucy AlbertellaResearch Fellow

James MorrowBrainPark Implementation Manager

Amy AllenOperations Manager

Jeggan Tiego

Tribikram Thapa

Sarah Thompson

Nancy Tran

Catherine Brown

Chris Andara

Research Assistants

Louisa Detez

Erynn Christensen

Louise Destree

Nathan Dowling

Kate Thompson

Alison Cullen

Lauren den Ouden

Cassie Thomson

Sian Virtue-Griffiths

DPsych/Clinical PhD Students

Sid Chopra

Olivia Chung

Sakshi Dhir

20

Interventions

In recent decades, significant neuroscientific discoveries have illustrated how lifestyle and technology-based techniques can have a potent impact on brain health and psychological wellbeing. The Interventions stream harnesses the therapeutic potential of these discoveries to develop non-medication treatments for impulsive-compulsive conditions. Through physical exercise and meditation, along with emerging technologies such as virtual reality, we focus on the underlying neurological, BrainPAC gamified task to measure

delay discounting

psychological and environmental drivers of addictive and compulsive behaviours.

One of our flagship projects is investigating how a combination of physical exercise and meditation can re-train brain circuits to break bad habits and help create new healthy ones that enhance overall mental health and quality of life.

Leah Braganza

Michelle Lamblin

Linden Parkes

Joshua Hendrikse

Yann Chye

Andrew Dawson

Tony Barnett

Aurina Arnatkeviciute

Mana Biabanimoghadam

PhD Candidates

Kristina Sabaroedin

Stuart Oldham

Xiaoliu Zhang

Daniel Myles

Eugene McTavish

Yuvan C

Ashlea Segal

Kavya Raj

Suzan Maleki

Neuroscience and Society

Neuroscience promises to revolutionise our ability to treat and prevent mental illness and neurological disorders through the use of powerful new technologies that allow us to monitor and manipulate brain activity, cognition and behaviour. The use of novel neurotechnologies also raises important ethical and social challenges. We conduct interdisciplinary research to translate neuroscience research into ethical treatments, social initiatives and public health policies that maximise benefit for all members of society, while minimising any harms. Our recent research has explored the impact of neuroscientific perspectives on stigma, agency, authenticity, and moral responsibility as well as the use of emerging technologies such as deep brain stimulation, brain imaging, transcranial direct current stimulation, virtual reality and wearable technologies.

We provide reports to key international and national government and multilateral organisations, including the World Health Organization, the Organisation for Economic Cooperation and Development, the Australian Government and the United Nations Office of Drugs and Crime.

Frances Anthony

Tayla Currie

Anna Earl

Patrick Haylock

Honours Students

Alisha Johnson

Anne McClure

Kris Rotaru

Alex Wulff

VR offers people an opportunity to practice exposure to objects and environments that can cause anxiety (e.g. a messy kitchen) while practicing skills to better manage the associated thoughts, images, and urges (e.g. washing and cleaning).

21

Clinical Translation

The Clinical Translation stream is interested in performing systematic, in-depth assessments of clinical status, particularly in relation to obsessive-compulsive related disorders and addictive behaviors. We also investigate the definition, applicability, acceptance and clinical utility of the concept of compulsivity across treatment seeking and non-treatment seeking individuals with impulsive and compulsive spectrum disorders. Further, we have an additional focus on short and long-term outcomes (i.e. efficacy, effectiveness, and tolerability) of medical and non-medical approaches (e.g. exercise, meditation) and technologically based treatments (e.g. virtual reality (VR), non-invasive brain stimulation).

Our team is testing VR as an exposure therapy for individuals with Obsessive Compulsive Disorder. VR offers people an opportunity to practice exposure to objects and environments that can cause anxiety (e.g. a messy kitchen) while practicing skills to better manage the associated thoughts, images, and urges (e.g. washing and cleaning).

Testing VR environments (in collaboration with Torus Games and The Melbourne Clinic)

BrainPark® BRAINPARK

BrainPark is a world-first neuroscience research facility dedicated to creating better outcomes for people with compulsive behaviours; from unhealthy habits through to addictions and obsessive-compulsive disorder. BrainPark will bring transformational changes to how compulsive behaviours are experienced, detected and overcome.BrainPark is different to a traditional research lab or clinical environment. With interactive, creative and energising spaces, it removes many of the traditional barriers to participant engagement. BrainPark is used for a large proportion of BMH’s interventions, assessment and clinical translation research.BrainPark research programs develop five integrated lifestyle and technology based interventions that have been chosen for their strong therapeutic potential and accessibility.

22

These are:• Therapeutic virtual reality• Physical exercise• Meditation and yoga• Non-invasive brain

stimulation• Cognitive trainingSince launching in September 2018, BrainPark has formed partnerships across academia, health care, industry, and the community. With help from key partner YMCA Victoria, one study is looking at whether regular physical exercise may be able to improve brain health for long-term heavy cannabis users. Another study has partnered with SensiLab and Torus Games to develop a Virtual Reality Gambling Environment (ViRGE)- by measuring brain activity (with EEG) and eye-movement during virtual gambling we will better understand how people interact with and interpret subtle design features of poker machines. Through other partnerships, such as with Headspace, we are investigation the impact of meditation on impulsive-

compulsive conditions. Clinical partners such as The Melbourne Clinic and Turning Point are also key for our research, particularly in working towards fast-tracking our findings into the community, to improve the physical, mental and brain health of Australians.BrainPark’s co-location with the state-of-the-art MBI amenities enables seamless integration of psychological and brain science and imaging to determine how these interventions change the brain, and for whom they are most effective. The development of BrainPark would not have been possible without a generous donation from The David Winston Turner Endowment Fund, further supported by investment from Monash University, Monash Institute for Cognitive and Clinical Neurosciences (MICCN) and MBI.

For more information, see www.brainpark.com

23

BrainPark: using neuroscience to create healthy habits, brains and lifestyles

The BrainPark Team (left – right): Prof Murat Yücel (Director), Dr Chao Suo, James Morrow, Amy Allen, Dr Rico Lee, Prof Leonardo Fontenelle, Dr Lucy Albertella, Sam Hughes, and Dr Rebecca Segrave (Deputy Director).

24

MoNoC

The Monash Neuroscience of Consciousness (MoNoC) Research Laboratory primarily aims to understand the neural basis of consciousness and also to understand the relationship between consciousness and intelligent functions. Our approaches focus on two areas: 1) Consciousness itself -

developing the theory of consciousness and empirically testing it, revealing the boundary condition of conscious and non-conscious processing.

2) Intelligent functions - the relationship between consciousness and functions such as attention, working memory, and metacognition in humans, animals and artificial systems.

Attention periodically samples competing stimuli during binocular rivalry

Davidson, M. J., Alais, D., van Boxtel., J., Tsuchiya, N.

Are we consciously aware of everything we attend to? A long history of enquiry has shown attention and conscious awareness to be tightly linked, but new research suggests this may not be the case (https://www.cibf.edu.au/our-attention-can-jump). In fact, even when we think we are attending to one location, recent research has shown that attention actually fluctuates many times per second. These high and low periods of attentional focus are known as attentional sampling, and suggest that our attention may rapidly explore the surrounding environment outside of our knowledge. In this project, we wanted to know whether attentional sampling could also occur between visible and invisible images, which would suggest that attention and consciousness are not the same thing. We asked subjects to report on what they could see during binocular rivalry, a type of visual illusion which occurs after two separate images are presented simultaneously to each eye. Instead of seeing a fused version of both images, the contents of consciousness uncontrollably

switches between each image, with the alternate image remaining invisible. When attention was cued towards the visible image by using sound or touch, using the EEG facilities at MBI, we found evidence to suggest attentional sampling had occurred at a single location. However, when we cued attention toward the invisible image, we found evidence of attentional sampling between two locations (https://www.monash.edu/researchinfrastructure/mbi/news-and-events/eeg-research-shows-our-attention). Next we hope to understand how attention interacts with what we do and do not perceive, to understand which parts of the brain are responsible for human consciousness.

Figure. Schematic experimental paradigm used to test attentional sampling during binocular rivalry. Each eye was presented with a 4.5 or 20 Hz sinusoidal flicker throughout 3 min blocks. Subjects reported their perceptual state through button-press. Crossmodal cues (auditory and tactile, also 4.5 or 20 Hz) directed attention to either the visible or invisible flickering visual image while we recorded EEG.

MONASH NEUROSCIENCE OF CONSCIOUSNESS

MoNoC Personnel

A/Prof Naotsugu TsuchiyaCo-Head

A/Prof Jeroen van BoxtelCo-Head

Dr Thomas AndrillonPostdoctoral Fellow (IBRO Fellow 2017-2018, Human Frontier Long-term Fellowship 2018-2019, NHMRC ECF 2019-2024)

25

Julian Mathews, PhD Candidate

Matt Davidson, PhD Candidate

Noam Gordon, PhD Candidate

William Wong, PhD Candidate

Elise Rowe, PhD Candidate

Angus Leung, PhD Candidate

Sharon Daniel, PhD Candidate

Divya Sampath, PhD Candidate

Matthieu Korma, visiting PhD Student

Miro Grundei, visiting Masters Student

Shota Yasunaga, visiting Undergraduate Student

Maria Tandoc, Honours Student

Daina Vagars, Honours Student

Teigane MacKay, Honours Student

Jasmine Walter, Research Assistant

Zhao Koh, Research Assistant

Yota Kawashima, Research Assistant

Alon Loeffler, Research Assistant

Liam Carroll, Research Assistant

Staff

Students

Conscious access in the near absence of attention: Critical extensions on the dual-task paradigm

Mathews J, Schroder P, Kaunitz L, van Boxtel J, Tsuchiya N

How attention relates to conscious awareness is one of the ongoing mysteries of consciousness (https://cibf.edu.au/without-attention). A leading method for investigating this relationship is the dual-task paradigm. In this paradigm, performance on a critical task is compared between a condition with full attention and a condition where attention is diverted by a challenging second task. If performance on the critical task is sustained despite the focus of attention being diverted to the second task, this suggests that features of the critical task are available to conscious awareness with little or possibly no attention. But use of the dual-task paradigm has been limited by several methodological concerns, especially the enormous amounts of training (up to 15 hours) that is typically required to properly compare conditions. Published in a prestigious special issue on consciousness in Philosophical Transactions of the Royal Society B (https://www.monash.edu/neuro-institute/news-and-events/latest-news/articles/to-be-conscious-of-something,-do-we-need-to-pay-attention), our study introduced several critical improvements to the dual-task paradigm. One of the most exciting improvements in our method was a 97% reduction in training requirements, reducing the need for training to approximately 20 minutes. Our extended dual-task paradigm opens the field to a range of future studies investigating the behavioural requirements of attention and brings us one step closer to uncovering this curious mystery of consciousness.

Our study introduced a simple design for very precisely examining incidental memory and consciousness outside of visual search.

Dr Rafik Hadfi Postdoctoral Fellow

Dr Dror Cohen Postdoctoral Fellow

Sustained Conscious Access to Incidental Memories in RSVP

Mathews J, Wu J, Corneille V, Hohwy J, van Boxtel J, Tsuchiya N

Incidental memory is the term used to describe the store of memories that are encoded outside the focus of our behavioural goals. According to leading theories, the storage capacity of incidental memory is very limited which is important for the relationship between memory and consciousness because it suggests consciousness might be limited for things unrelated to our behavioural goals. Our study introduced a simple design for very precisely examining incidental memory and consciousness outside of visual search. We demonstrated that incidental memory has a large capacity, even for rapidly presented items, and replicated a pioneering study of incidental memory by MoNoC alumni (https://www.cibf.edu.au/a-new-type-of-memory). Remarkably, incidental memory capacity was equivalent to a condition where the same items were the focus of participants’ behavioural goal and explicitly encoded. Our study builds on a body of research that suggests the mere act of perception is enough to encode lasting memories that remain available to conscious awareness (https://www.cibf.edu.au/you-can-memorise-faces-in-a-single-glance-without-trying). Further, it lends support to the theory that consciousness is rich and we have detailed conscious access even for things we perceive outside the focus of attention and our behavioural goals.

Collaborations

In mid 2018 MBI handed over the business development and management activities of VBIC to Neurosciences Victoria. VBIC represents imaging activities of Monash University, The Florey, the University of Melbourne, Swinburne University, Latrobe University and the Olivia Newton John Cancer Wellness and Research Centre, and continues to be the peak body for imaging in Victoria. MBI remains a key organisation within VBIC. VBIC has continued to represent the imaging activities within Victoria, and engages with industry and government on a regular basis. In November 2018 VBIC held its Annual Network meeting, with program focus on high-field MRI and emerging techniques and applications in biomedical imaging.

MBI and CSIRO continue to strengthen their collaborative works through projects being undertaken in the MedTech (M2) initiative, a joint venture between Monash University and CSIRO to drive biomedical materials translation through its Biomedical Materials Translational Facility (BMTF). Joint projects have included the identification and treatment of neuroblastomas using the MR-PET scanner, which was installed in 2017 as part of the BMTF project. The BMTF includes radiochemistry laboratories for preparation and dispensing of radiopharmaceuticals, which have been well utilised throughout 2018.

Administered by Monash University, the Australian Research Council Centre of Excellence for Integrative Brain Function (Brain Function CoE) aims to understand how the brain interacts with the world. By focusing on the complex brain functions that underlie attention, prediction and decision-making, Centre researchers are undertaking fundamental investigations into the principles of brain structure and function. The Centre is a collaboration between Monash University, the University of Queensland, the University of Sydney, the University of New South Wales, the Australian National University, the University of Melbourne and international partner institutions from Europe, North America and Asia. A number of Centre Chief and Associate Investigators, postdoctoral Fellows and PhD student Scholars are based at MBI and extensively use MBI’s world-class research imaging facilities. The Centre provides the opportunity for MBI-based researchers to collaborate with researchers in a unique program addressing one of the greatest scientific challenges of our time - understanding the link between brain activity and human behavior.

26

In 2018, MBI and Jülich Forschungszentrum (FZJ) continued their collaboration in the field of hybrid MR-PET and ultrahigh field (human) functional MRI. Monash University is the international partner in the development of a next generation “BrainPET-2” insert for ultrahigh field 7 Tesla MR-PET imaging of the human brain. The project has been funded a three million Euro grant provided by the Helmholtz Validation Fund grant program. Design of the BrainPET-2 insert was undertaken in 2017-18 and completion of the assembly is scheduled for mid 2020. Initial testing will be undertaken until mid 2021 when the first human brain scans are planned. MBI scientists have responsibility for development of the PET attenuation and motion correction algorithms for the integrated system.

Under the Helmholtz Validation Fund project, MBI and FZJ have an agreement to exchange staff and students between the facilities in Melbourne and Germany in order to promote knowledge transfer and exchange, and to develop new simultaneous MR-PET applications to enhance and expand the capabilities and offerings at MBI. Professor Jon Shah is the Director of JARA Institute Molecular Neuroscience and Neuroimaging (INM-11) at Julich Forschungszentrum and has visited MBI on a number of occasions. Dr Phillip Ward, a post-doctoral researcher at MBI, received a Victoria Fellowship to visit the Helmholtz laboratory at Julich in 2018 to gain invaluable knowledge and experience using the ultra-high field MR and MR-PET imaging instrumentation.

MBI is focused on collaborative research efforts for both the development of biomedical imaging research techniques as well as their use in research projects. Throughout 2017 we continued to develop and maintain relationships with key research organisations and partners.

The National Imaging Facility (NIF) was created in 2007 and continues to be a key body in Australia’s imaging research landscape. NIF includes 10 universities and research institutes, in addition to the Australian Nuclear Science and Technology Organisation (ANSTO). NIF ensures that imaging infrastructure is made available to researchers to allow the progression of research projects across Australia. NIF continues to support four staff members at MBI, with funding committed for an additional staff member in 2019 with radiochemistry expertise.

Since the establishment of MBI, Siemens and MBI have worked collaboratively on a number of research programs. In 2018 significant advances were made in the use of deep learning for motion correction in MRI and PET imaging. The ability to post process images where patients have moved (potentially due to movement disorders or emergency department scenarios) will significantly reduce imaging duration and improve clinical care.

Partnerships

MBI is located adjacent to the Australian Synchrotron. The co-localisation of the two facilities has continued to allow users to undertake joint imaging projects (using the Imaging and Biomedical Beamline at the Synchrotron). Staff at both sites work collaboratively to ensure the facilities are used in an efficient manner, and researchers can address the relevant research questions through CT and beamline access.

Clinical imaging activities at MBI are undertaken in partnership with Monash Health. Monash Health continues to provide radiographers and nuclear medicine technologists to operate the clinical MRI and MR-PET scanners at MBI. Monash Health staff also provide research guidance to users from industry in addition to tertiary and research institutions.

27

During 2018 the Clayton instrument (upgraded in 2017) was complemented by the installation of a second Bruker 9.4T MRI scanner at the Alfred Research Alliance – Monash Biomedical Imaging Preclinical Imaging Facility at the Alfred Hospital.

MBI recognises the importance of forming and maintaining strategic alliances with key partners for the development of imaging infrastructure and research capabilities.

In 2018 Mediso supplied a PET-CT scanner to the ARA-MBI site, which provides high-sensitivity, high-resolution PET-CT imaging that supports a wide range of applications in diverse species, and enabling advances in cardiovascular, oncology and other preclinical research applications. This new scanner has a universal animal handling platform with large axial field-of-view, allowing rapid scanning and reconstruction of multiple whole mice at the same time.

Publications 16. Grinberg, F., Maximov, II, Farrher, E., & Shah, N. J. (2018). Microstructure-informed slow diffusion tractography in humans enhances visualisation of fibre pathways. Magn Reson Imaging, 45, 7-17. doi:10.1016/j.mri.2017.08.007

17. Ha, Y., Choi, C. H., & Shah, N. J. (2018). Development and Implementation of a PIN-Diode Controlled, Quadrature-Enhanced, Double-Tuned RF Coil for Sodium MRI. IEEE Trans Med Imaging, 37(7), 1626-1631. doi:10.1109/tmi.2017.2786466

18. Ha, Y., Choi, C. H., Worthoff, W. A., Shymanskaya, A., Schoneck, M., Willuweit, A., . . . Shah, N. J. (2018). Design and use of a folded four-ring double-tuned birdcage coil for rat brain sodium imaging at 9.4T. J Magn Reson, 286, 110-114. doi:10.1016/j.jmr.2017.12.003

19. Harding I.H., Andrews Z.B., Mata F., Orlandea S., Martínez-Zalacaín I., Soriano-Mas C., Stice E., Verdejo-Garcia A.(2018). Brain substrates of unhealthy versus healthy food choices: Influence of homeostatic status and body mass index.Int J Obesit, 42(3), 448-454. 10.1038/ijo.2017.237

20. Jamadar, S. D., Sforazzini, F., Raniga, P., Ferris, N. J., Paton, B., Bailey, M. J., . . . Egan, G. F. (2018). Sexual Dimorphism of Resting-State Network Connectivity in Healthy Ageing. J Gerontol B Psychol Sci Soc Sci. doi:10.1093/geronb/gby004

21. Ko, Y., Yun, S. D., Hong, S. M., Ha, Y., Choi, C. H., Shah, N. J., & Felder, J. (2018). MR-compatible, 3.8 inch dual organic light-emitting diode (OLED) in-bore display for functional MRI. PLoS One, 13(10), e0205325. doi:10.1371/journal.pone.0205325

22. Landmann, J., Richter, F., Oros-Peusquens, A. M., Shah, N. J., Classen, J., Neely, G. G., . . . Bechmann, I. (2018). Neuroanatomy of pain-deficiency and cross-modal activation in calcium channel subunit (CACN) alpha2delta3 knockout mice. Brain Struct Funct, 223(1), 111-130. doi:10.1007/s00429-017-1473-4

23. Lerche, C. W., Kaltsas, T., Caldeira, L., Scheins, J., Rota Kops, E., Tellmann, L., . . . Shah, N. J. (2018). PET attenuation correction for rigid MR Tx/Rx coils from (176)Lu background activity. Phys Med Biol, 63(3), 035039. doi:10.1088/1361-6560/aaa72a

24. Long, A. J., Burton, P. R., De Veer, M. J., Ooi, G. J., Laurie, C. P., Nottle, P. D., . . . Brown, W. A. (2018). Radical gastric cancer surgery results in widespread upregulation of pro-tumourigenic intraperitoneal cytokines. ANZ J Surg, 88(5), E370-e376. doi:10.1111/ans.14267

25. Maderazo, D. L., Flegg, J. A., Neeland, M. R., de Veer, M. J., & Flegg, M. B. (2018). Physiological factors leading to a successful vaccination: A computational approach. J Theor Biol, 454, 215-230. doi:10.1016/j.jtbi.2018.06.008

26. Mauler, J., Maudsley, A. A., Langen, K. J., Nikoubashman, O., Stoffels, G., Sheriff, S., . . . Shah, N. J. (2018). Spatial Relationship of Glioma Volume Derived from (18)F-FET PET and Volumetric MR Spectroscopy Imaging: A Hybrid PET/MRI Study. J Nucl Med, 59(4), 603-609. doi:10.2967/jnumed.117.196709

27. Papadopoulos, A., Sforazzini, F., Egan, G., & Jamadar, S. (2018). Functional subdivisions within the human intraparietal sulcus are involved in visuospatial transformation in a non-context-dependent manner. Hum Brain Mapp, 39(1), 354-368. doi:10.1002/hbm.23847

28. Provost, A., Jamadar, S., Heathcote, A., Brown, S. D., & Karayanidis, F. (2018). Intertrial RT variability affects level of target-related interference in cued task switching. Psychophysiology, 55(3). doi:10.1111/psyp.12971

29. Rajkumar, R., Farrher, E., Mauler, J., Sripad, P., Regio Brambilla, C., Rota Kops, E., . . . Neuner, I. (2018). Comparison of EEG microstates with resting state fMRI and FDG-PET measures in the default mode network via simultaneously recorded trimodal (PET/MR/EEG) data. Hum Brain Mapp. doi:10.1002/hbm.24429

30. Saker, P., Farrell, M. J., Egan, G. F., McKinley, M. J., & Denton, D. A. (2018). Influence of anterior midcingulate cortex on drinking behavior during thirst and following satiation. Proc Natl Acad Sci U S A, 115(4), 786-791. doi:10.1073/pnas.1717646115

31. Schall, M., Zimmermann, M., Iordanishvili, E., Gu, Y., Shah, N. J., & Oros-Peusquens, A. M. (2018). A 3D two-point method for whole-brain water content and relaxation time mapping: Comparison with gold standard methods. PLoS One, 13(8), e0201013. doi:10.1371/journal.pone.0201013

32. Selvadurai L.P., Harding I.H., Corben L.A., Georgiou-Karistianis N. (2018). Cerebral abnormalities in Friedreich ataxia: A review. Neurosci Biobehav Rev, 84, 394-406, 10.1016/j.neubiorev.2017.08.006

33. Soloveva, M. V., Jamadar, S. D., Poudel, G., & Georgiou-Karistianis, N. (2018). A critical review of brain and cognitive reserve in Huntington’s disease. Neurosci Biobehav Rev, 88, 155-169. doi:10.1016/j.neubiorev.2018.03.003

34. Sung, S., Vijiaratnam, N., Chan, D. W. C., Farrell, M., & Evans, A. H. (2018a). Pain sensitivity in Parkinson’s disease: Systematic review and meta-analysis. Parkinsonism Relat Disord, 48, 17-27. doi:10.1016/j.parkreldis.2017.12.031

35. Sung, S., Vijiaratnam, N., Chan, D. W. C., Farrell, M., & Evans, A. H. (2018b). Parkinson disease: A systemic review of pain sensitivities and its association with clinical pain and response to dopaminergic stimulation. J Neurol Sci, 395, 172-206. doi:10.1016/j.jns.2018.10.013

36. Ward, P. G. D., Ferris, N. J., Raniga, P., Dowe, D. L., Ng, A. C. L., Barnes, D. G., & Egan, G. F. (2018). Combining images and anatomical knowledge to improve automated vein segmentation in MRI. Neuroimage, 165, 294-305. doi:10.1016/j.neuroimage.2017.10.049

MBI

Refereed Journal articles

1. Baran, J., Chen, Z., Sforazzini, F., Ferris, N., Jamadar, S., Schmitt, B., . . . Egan, G. F. (2018). Accurate hybrid template-based and MR-based attenuation correction using UTE images for simultaneous PET/MR brain imaging applications. BMC Med Imaging, 18(1), 41. doi:10.1186/s12880-018-0283-3

2. Biabani, M., Aminitehrani, M., Zoghi, M., Farrell, M., Egan, G., & Jaberzadeh, S. (2018). The effects of transcranial direct current stimulation on short-interval intracortical inhibition and intracortical facilitation: a systematic review and meta-analysis. Rev Neurosci, 29(1), 99-114. doi:10.1515/revneuro-2017-0023

3. Biabani, M., Farrell, M., Zoghi, M., Egan, G., & Jaberzadeh, S. (2018a). Crossover design in transcranial direct current stimulation studies on motor learning: potential pitfalls and difficulties in interpretation of findings. Rev Neurosci, 29(4), 463-473. doi:10.1515/revneuro-2017-0056

4. Biabani, M., Farrell, M., Zoghi, M., Egan, G., & Jaberzadeh, S. (2018b). The minimal number of TMS trials required for the reliable assessment of corticospinal excitability, short interval intracortical inhibition, and intracortical facilitation. Neurosci Lett, 674, 94-100. doi:10.1016/j.neulet.2018.03.026

5. Blundell, I., Brette, R., Cleland, T. A., Close, T. G., Coca, D., Davison, A. P., . . . Eppler, J. M. (2018). Code Generation in Computational Neuroscience: A Review of Tools and Techniques. Front Neuroinform, 12, 68. doi:10.3389/fninf.2018.00068

6. Bode, S., Bennett, D., Sewell, D. K., Paton, B., Egan, G. F., Smith, P. L., & Murawski, C. (2018). Dissociating neural variability related to stimulus quality and response times in perceptual decision-making. Neuropsychologia, 111, 190-200. doi:10.1016/j.neuropsychologia.2018.01.040

7. Caeyenberghs, K., Clemente, A., Imms, P., Egan, G., Hocking, D. R., Leemans, A., . . . Wilson, P. H. (2018). Evidence for Training-Dependent Structural Neuroplasticity in Brain-Injured Patients: A Critical Review. Neurorehabil Neural Repair, 32(2), 99-114. doi:10.1177/1545968317753076

8. Chen, Z., Jamadar, S. D., Li, S., Sforazzini, F., Baran, J., Ferris, N., . . . Egan, G. F. (2018). From simultaneous to synergistic MR-PET brain imaging: A review of hybrid MR-PET imaging methodologies. Hum Brain Mapp, 39(12), 5126-5144. doi:10.1002/hbm.24314

9. Cole, L. J., Bennell, K. L., Ahamed, Y., Bryant, C., Keefe, F., Moseley, G. L., . . . Farrell, M. J. (2018). Determining Brain Mechanisms that Underpin Analgesia Induced by the Use of Pain Coping Skills. Pain Med, 19(11), 2177-2190. doi:10.1093/pm/pnx301

10. da Silva, N. A., Lohmann, P., Fairney, J., Magill, A. W., Oros Peusquens, A. M., Choi, C. H., . . . Jon Shah, N. (2018). Hybrid MR-PET of brain tumours using amino acid PET and chemical exchange saturation transfer MRI. Eur J Nucl Med Mol Imaging, 45(6), 1031-1040. doi:10.1007/s00259-018-3940-4

11. Del Guerra, A., Ahmad, S., Avram, M., Belcari, N., Berneking, A., Biagi, L., . . . Ziegler, S. (2018a). Corrigendum to “TRIMAGE: A dedicated trimodality (PET/MR/EEG) imaging tool for schizophrenia” [Eur Psychiatry 50 (2018) 7-20]. Eur Psychiatry, 51, 104-105. doi:10.1016/j.eurpsy.2018.05.007

12. Del Guerra, A., Ahmad, S., Avram, M., Belcari, N., Berneking, A., Biagi, L., . . . Ziegler, S. (2018b). TRIMAGE: A dedicated trimodality (PET/MR/EEG) imaging tool for schizophrenia. Eur Psychiatry, 50, 7-20. doi:10.1016/j.eurpsy.2017.11.007

13. Dissanayaka, T., Zoghi, M., Farrell, M., Egan, G., & Jaberzadeh, S. (2018). Comparison of Rossini-Rothwell and adaptive threshold-hunting methods on the stability of TMS induced motor evoked potentials amplitudes. J Neurosci Res, 96(11), 1758-1765. doi:10.1002/jnr.24319

14. Dissanayaka, T. D., Zoghi, M., Farrell, M., Egan, G. F., & Jaberzadeh, S. (2018). Sham transcranial electrical stimulation and its effects on corticospinal excitability: a systematic review and meta-analysis. Rev Neurosci, 29(2), 223-232. doi:10.1515/revneuro-2017-0026

15. Driessen, A. K., Farrell, M. J., Dutschmann, M., Stanic, D., McGovern, A. E., & Mazzone, S. B. (2018). Reflex regulation of breathing by the paratrigeminal nucleus via multiple bulbar circuits. Brain Struct Funct, 223(9), 4005-4022. doi:10.1007/s00429-018-1732-z

28

37. Worthoff, W. A., Shymanskaya, A., & Shah, N. J. (2019). Relaxometry and quantification in simultaneously acquired single and triple quantum filtered sodium MRI. Magn Reson Med, 81(1), 303-315. doi:10.1002/mrm.27387

38. Zhang, K., Huang, D., & Shah, N. J. (2018). Comparison of Resting-State Brain Activation Detected by BOLD, Blood Volume and Blood Flow. Front Hum Neurosci, 12, 443. doi:10.3389/fnhum.2018.00443

39. Zhang, K., Sturm, V. J., Buschle, L. R., Hahn, A., Yun, S. D., Jon Shah, N., . . . Kurz, F. T. (2018). Dual-contrast pCASL using simultaneous gradient-echo/spin-echo multiband EPI. Magn Reson Imaging. doi:10.1016/j.mri.2018.11.018

BMH Refereed Journal articles

40. Albertella, L., Le Pelley, M. E., Yucel, M., & Copeland, J. (2018). Age moderates the association between frequent cannabis use and negative schizotypy over time. Addict Behav, 87, 183-189. doi:10.1016/j.addbeh.2018.07.016

41. Aquino, K. M., Sokoliuk, R., Pakenham, D. O., Sanchez-Panchuelo, R. M., Hanslmayr, S., Mayhew, S. D., . . . Francis, S. T. (2018). Addressing challenges of high spatial resolution UHF fMRI for group analysis of higher-order cognitive tasks: An inter-sensory task directing attention between visual and somatosensory domains. Hum Brain Mapp. doi:10.1002/hbm.24450

42. Arnatkeviciute, A., Fulcher, B. D., Pocock, R., & Fornito, A. (2018). Hub connectivity, neuronal diversity, and gene expression in the Caenorhabditis elegans connectome. PLoS Comput Biol, 14(2), e1005989. doi:10.1371/journal.pcbi.1005989

43. Bailey, N. W., Hoy, K. E., Rogasch, N. C., Thomson, R. H., McQueen, S., Elliot, D., . . . Fitzgerald, P. B. (2018). Responders to rTMS for depression show increased fronto-midline theta and theta connectivity compared to non-responders. Brain Stimul, 11(1), 190-203. doi:10.1016/j.brs.2017.10.015

44. Barnett, A., Hall, W., Fry, C. L., Dilkes-Frayne, E., & Carter, A. (2018). Implications of treatment providers’ varying conceptions of the disease model of addiction: A response. Drug Alcohol Rev, 37(6), 729-730. doi:10.1111/dar.12844

45. Batalla, A., Lorenzetti, V., Chye, Y., Yucel, M., Soriano-Mas, C., Bhattacharyya, S., . . . Martin-Santos, R. (2018). The influence of DAT1, COMT, and BDNF genetic polymorphisms on total and subregional hippocampal volumes in early onset heavy cannabis users. Cannabis Cannabinoid Res, 3(1), 1-10. doi:10.1089/can.2017.0021

46. Beale, C., Broyd, S. J., Chye, Y., Suo, C., Schira, M., Galettis, P., . . . Solowij, N. (2018). Prolonged cannabidiol treatment effects on hippocampal subfield volumes in current cannabis users. Cannabis Cannabinoid Res, 3(1), 94-107. doi:10.1089/can.2017.0047

47. Bogaty, S. E. R., Lee, R. S. C., Hickie, I. B., & Hermens, D. F. (2018). Meta-analysis of neurocognition in young psychosis patients with current cannabis use. J Psychiatr Res, 99, 22-32. doi:10.1016/j.jpsychires.2018.01.010

48. Carter, A., L. Richards, and Alliance Brain Alliance. 2019. A Neuroethics Framework for the Australian Brain Initiative. Neuron 101(3): 365-369. [Q1; IF 16.075]

49. Carter, A., Savic, M., & Forlini, C. (2018). Surveillance Medicine in the DigitalEra: Lessons From Addiction Treatment. Am J Bioeth, 18(9), 58-60. doi:10.1080/15265161.2018.1499832

50. Chee, Y.; Lorenzetti, V.; Suo, C.; Batalla, A.; Cousijn, J.; Goudriaan, A.; Jenkinson, M.; Martin-Santos, R.; Whittle, S.; Yücel, M.; Solowij, N. Alteration to hippocampal volume and shape confined to cannabis dependence: A multi‐site study Addiction Biology (2018) E-PUB RGMS ID P03053020 (grants)

51. Cheetham, A., Allen, N. B., Whittle, S., Simmons, J., Yucel, M., & Lubman, D. I. (2018). Amygdala volume mediates the relationship between externalizing symptoms and daily smoking in adolescence: A prospective study. Psychiatry Res Neuroimaging, 276, 46-52. doi:10.1016/j.pscychresns.2018.03.007

52. Chung, S. W., Rogasch, N. C., Hoy, K. E., & Fitzgerald, P. B. (2018). The effect of single and repeated prefrontal intermittent theta burst stimulation on cortical reactivity and working memory. Brain Stimul, 11(3), 566-574. doi:10.1016/j.brs.2018.01.002

53. Chung, S. W., Rogasch, N. C., Hoy, K. E., Sullivan, C. M., Cash, R. F. H., & Fitzgerald, P. B. (2018). Impact of different intensities of intermittent theta burst stimulation on the cortical properties during TMS-EEG and working memory performance. Hum Brain Mapp, 39(2), 783-802. doi:10.1002/hbm.23882

54. Chung, S. W., Sullivan, C. M., Rogasch, N. C., Hoy, K. E., Bailey, N. W., Cash, R. F. H., & Fitzgerald, P. B. (2018). The effects of individualised intermittent theta burst stimulation in the prefrontal cortex: A TMS-EEG study. Hum Brain Mapp. doi:10.1002/hbm.24398

55. Chye, Y., Lorenzetti, V., Suo, C., Batalla, A., Cousijn, J., Goudriaan, A. E., . . . Solowij, N. (2018). Alteration to hippocampal volume and shape confined to cannabis dependence: a multi-site study. Addict Biol. doi:10.1111/adb.12652

56. Chye, Y., Suo, C., Lorenzetti, V., Batalla, A., Cousijn, J., Goudriaan, A. E., . . . Yucel, M. (2019). Cortical surface morphology in long-term cannabis users: A multi-site MRI study. Eur Neuropsychopharmacol, 29(2), 257-265. doi:10.1016/j.euroneuro.2018.11.1110

57. Coxon, J. P., Cash, R. F. H., Hendrikse, J. J., Rogasch, N. C., Stavrinos, E., Suo, C., & Yucel, M. (2018). GABA concentration in sensorimotor cortex following high-intensity exercise and relationship to lactate levels. J Physiol, 596(4), 691-702. doi:10.1113/jp274660

58. Crouse, J. J., Lee, R. S. C., White, D., Moustafa, A. A., Hickie, I. B., & Hermens, D. F. (2018). Distress and sleep quality in young amphetamine-type stimulant users with an affective or psychotic illness. Psychiatry Res, 262, 254-261. doi:10.1016/j.psychres.2018.02.033

59. Dandash, O., Yucel, M., Daglas, R., Pantelis, C., McGorry, P., Berk, M., & Fornito, A. (2018). Differential effect of quetiapine and lithium on functional connectivity of the striatum in first episode mania. Transl Psychiatry, 8(1), 59. doi:10.1038/s41398-018-0108-8

60. Dawson, A., Dissanayaka, N. N., Evans, A., Verdejo-Garcia, A., Chong, T. T. J., Frazzitta, G., . . . Carter, A. (2018). Neurocognitive correlates of medication-induced addictive behaviours in Parkinson’s disease: A systematic review. Eur Neuropsychopharmacol, 28(5), 561-578. doi:10.1016/j.euroneuro.2018.03.012

61. Dawson, A., Michael, J., Dilkes-Frayne, E., Hall, W., Dissanayaka, N. N., & Carter, A. (2018). Capacity, control and responsibility in Parkinson’s disease patients with impulse control disorders: Views of neurological and psychiatric experts. Int J Law Psychiatry. doi:10.1016/j.ijlp.2018.04.003

62. Dawson, A.; Dissanayaka, N. N.; Evans, A.; Frazzitta, G.; Ferrazzoli, D.; Ortelli, P.; Chong, T.; Carter, A.; Yücel, M. Towards task-based clinical prediction of impulse control disorders in Parkinson’s disease European Neuropsychopharmacology (2018) In press

63. Dawson, A., Hall, W., & Carter, A. (in press). Cognitive research on addiction in a changing policy landscape. In A. Verdejo-Garcia (Ed.). Cognition and addiction: A researcher’s guide from mechanisms towards interventions. San Diego: Elsevier.

64. Dawson, A., Chandler, J., Gavaghan, C., Hall, W., & Carter, A. (in press). Judicious use of neuropsychiatric evidence when sentencing offenders with addictive behaviours: Implications for neurointerventions. In N. Vincent (Ed.). Neuro-interventions and the law: Regulating human mental capacity. New York: Oxford University Press.

65. Den Ouden, L., Kandola, A., Suo, C., Hendrikse, J., Costa, R. J. S., Watt, M. J., . . . Yücel, M. (2018). The Influence of aerobic exercise on hippocampal integrity and function: Preliminary findings of a multi-modal imaging analysis. Brain plasticity (Amsterdam, Netherlands), 4(2), 211-216. doi:10.3233/BPL-170053

66. Destree, L., Amiet, D., Carter, A., Lee, R., Lorenzetti, V., Segrave, R., . . . Yucel, M. (2018). Exploring the association of legalisation status of cannabis with problematic cannabis use and impulsivity in the USA. Drugs Context, 7, 212541. doi:10.7573/dic.212541

67. Dos Santos-Ribeiro, S., de Salles Andrade, J. B., Quintas, J. N., Baptista, K. B., Moreira-de-Oliveira, M. E., Yucel, M., & Fontenelle, L. F. (2018). A Systematic Review of the Utility of Electroconvulsive Therapy in Broadly Defined Obsessive-Compulsive-Related Disorders. Prim Care Companion CNS Disord, 20(5). doi:10.4088/PCC.18r02342

68. Esteban-Cornejo, I., Mora-Gonzalez, J., Cadenas-Sanchez, C., Contreras-Rodriguez, O., Verdejo-Roman, J., Henriksson, P., . . . Ortega, F. B. (2018). Fitness, cortical thickness and surface area in overweight/obese children: The mediating role of body composition and relationship with intelligence. Neuroimage. doi:10.1016/j.neuroimage.2018.11.047

69. Farrell, A. M., Carter, A., Rogasch, N. C., & Fitzgerald, P. B. (2018). Regulating consumer use of transcranial direct current stimulation devices. Med J Aust, 209(1), 810.

70. Fineberg, N. A., Demetrovics, Z., Stein, D. J., Ioannidis, K., Potenza, M. N., Grunblatt, E., . . . Chamberlain, S. R. (2018). Manifesto for a European research network into problematic usage of the internet. Eur Neuropsychopharmacol, 28(11), 1232-1246. doi:10.1016/j.euroneuro.2018.08.004

71. Fitzgerald, P. B., Segrave, R., Richardson, K. E., Knox, L. A., Herring, S., Daskalakis, Z. J., & Bittar, R. G. (2018). A pilot study of bed nucleus of the stria terminalis deep brain stimulation in treatment-resistant depression. Brain Stimul, 11(4), 921-928. doi:10.1016/j.brs.2018.04.013

72. Fontenelle, L., & Yucel, M. (2019). A Transdiagnostic Approach to Obsessions, Compulsions and Related Phenomena. In (pp. 1-13).

73. Fontenelle, L. F., Frydman, I., Hoefle, S., Oliveira-Souza, R., Vigne, P., Bortolini, T. S., . . . Moll, J. (2018). Decoding moral emotions in obsessive-compulsive disorder. Neuroimage Clin, 19, 82-89. doi:10.1016/j.nicl.2018.04.002

74. Fontenelle, L. F., Quintas, J. N., & Yucel, M. (2018). Is There A Role For Lifestyle Interventions In Obsessive-Compulsive And Related Disorders? Curr Med Chem. doi:10.2174/0929867325666180104150854

75. Fornito, A., Arnatkeviciute, A., & Fulcher, B. D. (2018). Bridging the Gap between Connectome and Transcriptome. Trends Cogn Sci. doi:10.1016/j.tics.2018.10.005

76. Fornito, A., & Zalesky, A. (2018). Computational approaches to understanding mental dysfunction: Progress, challenges, and new frontiers. Biol Psychiatry Cogn Neurosci Neuroimaging, 3(9), 728-730. doi:10.1016/j.bpsc.2018.07.005

77. Fullerton, J. M., Klauser, P., Lenroot, R. K., Shaw, A. D., Overs, B., Heath, A., . . . Zalesky, A. (2018). Differential effect of disease-associated ST8SIA2 haplotype on cerebral white matter diffusion properties in schizophrenia and healthy controls. Transl Psychiatry, 8(1), 21. doi:10.1038/s41398-017-0052-z

29

78. Habibollahi Saatlou, F., Rogasch, N. C., McNair, N. A., Biabani, M., Pillen, S. D., Marshall, T. R., & Bergmann, T. O. (2018). MAGIC: An open-source MATLAB toolbox for external control of transcranial magnetic stimulation devices. Brain Stimul, 11(5), 1189-1191. doi:10.1016/j.brs.2018.05.015

79. Hawi, Z., Yates, H., Pinar, A., Arnatkeviciute, A., Johnson, B., Tong, J., . . . Bellgrove, M. A. (2018). A case–control genome-wide association study of ADHD discovers a novel association with the tenascin R (TNR) gene. Translational Psychiatry, 8(1), 284. doi:10.1038/s41398-018-0329-x

80. Hermens, D. F., Hatton, S. N., Lee, R. S. C., Naismith, S. L., Duffy, S. L., Paul Amminger, G., . . . Hickie, I. B. (2018). In vivo imaging of oxidative stress and fronto-limbic white matter integrity in young adults with mood disorders. Eur Arch Psychiatry Clin Neurosci, 268(2), 145-156. doi:10.1007/s00406-017-0788-8

81. Hermens, D. F., Hatton, S. N., White, D., Lee, R. S. C., Guastella, A. J., Scott, E. M., . . . Lagopoulos, J. (2019). A data-driven transdiagnostic analysis of white matter integrity in young adults with major psychiatric disorders. Prog Neuropsychopharmacol Biol Psychiatry, 89, 73-83. doi:10.1016/j.pnpbp.2018.08.032

82. Hill, A. T., Rogasch, N. C., Fitzgerald, P. B., & Hoy, K. E. (2018). Effects of single versus dual-site High-Definition transcranial direct current stimulation (HD-tDCS) on cortical reactivity and working memory performance in healthy subjects. Brain Stimul, 11(5), 1033-1043. doi:10.1016/j.brs.2018.06.005

83. Kaur, M., Naismith, S. L., Lagopoulos, J., Hermens, D. F., Lee, R. S. C., Carpenter, J. S., . . . Hickie, I. B. (2019). Sleep-wake, cognitive and clinical correlates of treatment outcome with repetitive transcranial magnetic stimulation for young adults with depression. Psychiatry Res, 271, 335-342. doi:10.1016/j.psychres.2018.12.002

84. Kirkovski, M., Suo, C., Enticott, P. G., Yucel, M., & Fitzgerald, P. B. (2018). Short communication: Sex-linked differences in gamma-aminobutyric acid (GABA) are related to social functioning in autism spectrum disorder. Psychiatry Res Neuroimaging, 274, 19-22. doi:10.1016/j.pscychresns.2018.02.004

85. Kong, X. Z., Mathias, S. R., Guadalupe, T., Glahn, D. C., Franke, B., Crivello, F., . . . Francks, C. (2018). Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium. Proc Natl Acad Sci U S A, 115(22), E5154-e5163. doi:10.1073/pnas.1718418115

86. Kras, M., Youssef, G. J., Garfield, J. B. B., Yücel, M., Lubman, D. I., & Stout, J. C. (2018). Relationship between measures of impulsivity in opioid-dependent individuals. Personality and Individual Differences, 120, 133-137. doi:10.1016/j.paid.2017.08.001

87. Lee, R. S. C., Hermens, D. F., Naismith, S. L., Kaur, M., Guastella, A. J., Glozier, N., . . . Hickie, I. B. (2018). Clinical, neurocognitive and demographic factors associated with functional impairment in the Australian Brain and Mind Youth Cohort Study (2008–2016). BMJ Open, 8(12), e022659. doi:10.1136/bmjopen-2018-022659

88. Lee, S., Chung, S. W., Rogasch, N. C., Thomson, C. J., Worsley, R. N., Kulkarni, J., . . . Segrave, R. A. (2018). The influence of endogenous estrogen on transcranial direct current stimulation: A preliminary study. Eur J Neurosci, 48(4), 2001-2012. doi:10.1111/ejn.14085

89. Lorenzetti, V., Melo, B., Basilio, R., Suo, C., Yucel, M., Tierra-Criollo, C. J., & Moll, J. (2018). Emotion Regulation Using Virtual Environments and Real-Time fMRI Neurofeedback. Front Neurol, 9, 390. doi:10.3389/fneur.2018.00390

90. Lubman, D. I., Garfield, J. B., Gwini, S. M., Cheetham, A., Cotton, S. M., Yucel, M., & Allen, N. B. (2018). Dynamic associations between opioid use and anhedonia: A longitudinal study in opioid dependence. J Psychopharmacol, 32(9), 957-964. doi:10.1177/0269881118791741

91. Luigjes, J., Segrave, R., de Joode, N., Figee, M., & Denys, D. (2018). Efficacy of Invasive and Non-Invasive Brain Modulation Interventions for Addiction. Neuropsychology Review, 1-23.

92. Mackey, S., Allgaier, N., Chaarani, B., Spechler, P., Orr, C., Bunn, J., . . . Garavan, H. (2019). Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects. Am J Psychiatry, 176(2), 119-128. doi:10.1176/appi.ajp.2018.17040415

93. Myles, D., Carter, A., & Yucel, M. (2018). Cognitive neuroscience can support public health approaches to minimise the harm of ‘losses disguised as wins’ in multiline slot machines. Eur J Neurosci. doi:10.1111/ejn.14191

94. Norman, L. J., Taylor, S. F., Liu, Y., Radua, J., Chye, Y., De Wit, S. J., . . . Fitzgerald, K. (2018). Error Processing and Inhibitory Control in Obsessive-Compulsive Disorder: A Meta-analysis Using Statistical Parametric Maps. Biol Psychiatry. doi:10.1016/j.biopsych.2018.11.010

95. O’Donoghue, B., Francey, S. M., Nelson, B., Ratheesh, A., Allott, K., Graham, J., . . . McGorry, P. (2018). Staged treatment and acceptability guidelines in early psychosis study (STAGES): A randomized placebo controlled trial of intensive psychosocial treatment plus or minus antipsychotic medication for first-episode psychosis with low-risk of self-harm or aggression. Study protocol and baseline characteristics of participants. Early Interv Psychiatry. doi:10.1111/eip.12716

96. Oldham, S., Murawski, C., Fornito, A., Youssef, G., Yucel, M., & Lorenzetti, V. (2018). The anticipation and outcome phases of reward and loss processing: A neuroimaging meta-analysis of the monetary incentive delay task. Hum Brain Mapp, 39(8), 3398-3418. doi:10.1002/hbm.24184

97. Opie, G. M., Sidhu, S. K., Rogasch, N. C., Ridding, M. C., & Semmler, J. G. (2018). Cortical inhibition assessed using paired-pulse TMS-EEG is increased in older adults. Brain Stimul, 11(3), 545-557. doi:10.1016/j.brs.2017.12.013

98. Pang, J. C., Aquino, K. M., Robinson, P. A., Lacy, T. C., & Schira, M. M. (2018). Biophysically based method to deconvolve spatiotemporal neurovascular signals from fMRI data. J Neurosci Methods, 308, 6-20. doi:10.1016/j.jneumeth.2018.07.009

99. Parkes, L., Fulcher, B., Yucel, M., & Fornito, A. (2018). An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI. Neuroimage, 171, 415-436. doi:10.1016/j.neuroimage.2017.12.073

100. Pinar, A., Hawi, Z., Cummins, T., Johnson, B., Pauper, M., Tong, J., . . . Bellgrove, M. A. (2018). Genome-wide association study reveals novel genetic locus associated with intra-individual variability in response time. Transl Psychiatry, 8(1), 207. doi:10.1038/s41398-018-0262-z

101. Prochazkova, L., Parkes, L., Dawson, A., ... & Yücel, M. (2018). Unpacking the role of self-reported compulsivity and impulsivity in obsessive-compulsive disorder. CNS Spectrums, 23(1), 51-58.

102. Ramdave, S., Dawson, A., Carter, A., & Dissanayaka, N. (2019). Unmasking neurobiological commonalities between addictive disorders and impulse control disorders in Parkinson’s disease. doi:10.1007/s11682-019-00041-7.

103. Rogasch NC, Habibollahi Saatlou F, McNair NA, Biabani M, Pillen SD, Marshall TR, Bergmann TO. MAGIC: an open-source MATLAB toolbox for external control of transcranial magnetic stimulation devices. Brain Stimulation. Sep - Oct;11(5):1189-1191. 2018

104. Savic, M., E. Dilkes-Frayne, A. Carter, R. Kokanovic, V. Manning, and D. Lubman. 2018. Making multiple “online counsellings” through policy and practice: an evidence-making intervention approach. International Journal of Drug Policy 53: 73–82. [Q1; IF 3.412]

105. Singh, D., Chye, Y., Suo, C., Yücel, M., Grundmann, O., Ahmad, M. Z., Ho, E. T. W., Mansor, S. M., Yusof, S. R., McCurdy, C. R., Müller, C., Boyer, E. W., & Vicknasingam, B. (2018). Brain magnetic resonance imaging of regular kratom (Mitragyna speciosa Korth.) users: A preliminary study. Malaysian Journal of Medicine & Health Sciences, 14, 65-70.

106. Sokoliuk, R., Mayhew, S. D., Aquino, K., Wilson, R., Brookes, M. J., Francis, S. T., Mullinger, K. J. (2018). Two spatially distinct posterior alpha sources fulfill different functional roles in attention. bioRxiv, 384065. doi:10.1101/384065

107. Solowij, N., Broyd, S. J., Beale, C., Prick, J. A., Greenwood, L. M., van Hell, H., . . . Yucel, M. (2018). Therapeutic effects of prolonged cannabidiol treatment on psychological symptoms and cognitive function in regular cannabis users: A pragmatic open-label clinical trial. Cannabis Cannabinoid Res, 3(1), 21-34. doi:10.1089/can.2017.0043

108. Tewarie, P., Hunt, B. A. E., O’Neill, G. C., Byrne, A., Aquino, K., Bauer, M., . . . Brookes, M. J. (2018). Relationships between neuronal oscillatory amplitude and dynamic functional connectivity. Cereb Cortex. doi:10.1093/cercor/bhy136

109. Tiego, J., Oostermeijer, S., Prochazkova, L., Parkes, L., Dawson, A., Youssef, G., . . . Yucel, M. (2018). Overlapping dimensional phenotypes of impulsivity and compulsivity explain co-occurrence of addictive and related behaviors. CNS Spectr, 1-15. doi:10.1017/s1092852918001244

110. Tse, N. Y., Goldsworthy, M. R., Ridding, M. C., Coxon, J. P., Fitzgerald, P. B., Fornito, A., & Rogasch, N. C. (2018). The effect of stimulation interval on plasticity following repeated blocks of intermittent theta burst stimulation. Sci Rep, 8(1), 8526. doi:10.1038/s41598-018-26791-w

111. Voineskos, D., Blumberger, D. M., Zomorrodi, R., Rogasch, N. C., Farzan, F., Foussias, G., . . . Daskalakis, Z. J. (2018). Altered Transcranial Magnetic Stimulation-Electroencephalographic Markers of Inhibition and Excitation in the Dorsolateral Prefrontal Cortex in Major Depressive Disorder. Biol Psychiatry. doi:10.1016/j.biopsych.2018.09.032

112. Wang, C., Lee, J., Ho, N. F., Lim, J. K. W., Poh, J. S., Rekhi, G., . . . Zhou, J. (2018). Large-Scale Network Topology Reveals Heterogeneity in Individuals With at Risk Mental State for Psychosis: Findings From the Longitudinal Youth-at-Risk Study. Cereb Cortex, 28(12), 4234-4243. doi:10.1093/cercor/bhx278

113. Weller, A., Gleeson, J., Alvarez-Jimenez, M., McGorry, P., Nelson, B., Allott, K., . . . Killackey, E. (2018). Can antipsychotic dose reduction lead to better functional recovery in first-episode psychosis? A randomized controlled-trial of antipsychotic dose reduction. The reduce trial: Study protocol. Early Interv Psychiatry. doi:10.1111/eip.12769

114. Wilson, M. T., Fulcher, B. D., Fung, P. K., Robinson, P. A., Fornito, A., & Rogasch, N. C. (2018). Biophysical modeling of neural plasticity induced by transcranial magnetic stimulation. Clin Neurophysiol, 129(6), 1230-1241. doi:10.1016/j.clinph.2018.03.018

115. Wu, W., Keller, C. J., Rogasch, N. C., Longwell, P., Shpigel, E., Rolle, C. E., & Etkin, A. (2018). ARTIST: A fully automated artifact rejection algorithm for single-pulse TMS-EEG data. Hum Brain Mapp, 39(4), 1607-1625. doi:10.1002/hbm.23938

116. Yucel, M., Carter, A., Harrigan, K., van Holst, R. J., & Livingstone, C. (2018). Hooked on gambling: a problem of human or machine design. Lancet Psychiatry, 5(1), 20-21. doi:10.1016/s2215-0366(17)30467-4

117. Yucel, M., Oldenhof, E., Ahmed, S. H., Belin, D., Billieux, J., Bowden-Jones, H., . . . Verdejo-Garcia, A. (2018). A transdiagnostic dimensional approach towards a neuropsychological assessment for addiction: an international Delphi consensus study. Addiction. doi:10.1111/add.14424

30

MoNoCRefereed Journal Articles

126. Amari, S., Tsuchiya, N., Oizumi, M. “Geometry of Information Integration” (2018) IGAIA IV https://doi.org/10.1007/978-3-319-97798-0_1 pdf

127. Carter, O., Hohwy, J., van Boxtel, J., Lamme, V., Block, N., Koch, C., & Tsuchiya, N. (2018). Conscious machines: Defining questions. Science, 359(6374), 400. doi:10.1126/science.aar4163

128. Cohen, D., & Tsuchiya, N. (2018). The Effect of Common Signals on Power, Coherence and Granger Causality: Theoretical Review, Simulations, and Empirical Analysis of Fruit Fly LFPs Data. Front Syst Neurosci, 12, 30. doi:10.3389/fnsys.2018.00030

129. Cohen, D., van Swinderen, B., & Tsuchiya, N. (2018). Isoflurane Impairs Low-Frequency Feedback but Leaves High-Frequency Feedforward Connectivity Intact in the Fly Brain. eNeuro, 5(1). doi:10.1523/eneuro.0329-17.2018

130. Davidson, M. J., Alais, D., van Boxtel, J. J., & Tsuchiya, N. (2018). Attention periodically samples competing stimuli during binocular rivalry. Elife, 7. doi:10.7554/eLife.40868

131. Davidson, M. J., Graafsma, I., Tsuchiya, N., & van Boxtel, J. J. A. (2018). Frequency-tagging visual background information enables multi-target perceptual filling-in to be distinguished from phenomenally matched replay. bioRxiv, 499517. doi:10.1101/499517

132. Ding, C., Palmer, C. J., Hohwy, J., Youssef, G. J., Paton, B., Tsuchiya, N., . . . Thyagarajan, D. (2018). Deep Brain Stimulation for Parkinson’s disease changes perception in the Rubber Hand Illusion. Sci Rep, 8(1), 13842. doi:10.1038/s41598-018-31867-8

133. Gordon, N., Hohwy, J., Davidson, M. J., van Boxtel, J., & Tsuchiya, N. (2019, January 1). From Intermodulation Components to Perception and Cognition- a Review. https://doi.org/10.31219/osf.io/bwpt8

134. Gordon, N., Tsuchiya, N., Koenig-Robert, R., & Hohwy, J. (2018). Expectation and attention increase the integration of top-down and bottom-up signals in perception through different pathways. bioRxiv, 446948. doi:10.1101/446948

135. Huan, A., Kich, C., Tonoi, G., & Tsuchiya, N. (2018). Response to commentaries. The Brains Blog.

136. Legendre, G., Andrillon, T., Koroma, M., & Kouider, S. (2018). Sleepers track informative speech in a multi-tasker environment. Nature Human Behaviour, in press.

137. Matthews, J., Schroder, P., Kaunitz, L., van Boxtel, J. J. A., & Tsuchiya, N. (2018). Conscious access in the near absence of attention: critical extensions on the dual-task paradigm. Philos Trans R Soc Lond B Biol Sci, 373(1755). doi:10.1098/rstb.2017.0352

138. Matthews, J., Wu, J., Corneille, V., Hohwy, J., van Boxtel, J., & Tsuchiya, N. (2018). Sustained conscious access to incidental memories in RSVP. Atten Percept Psychophys. doi:10.3758/s13414-018-1600-1

139. McEwen, C., Paton, B., Tsuchiya, N., & van Boxtel, J. (2018, September 20). Motion-Induced Blindness and Attention-Deficit/Hyperactivity Traits. https://doi.org/10.31234/osf.io/gny6r (Psy ArXiv version)

Edited books, Book Chapters, Reviews, Letters, Commentaries

118. Barnett, A. (2018). Ethics in Mental Health [invited book review] ‐Substance Use, David Cooper (Ed) New York: Routledge Drug and Alcohol Review, 37(3), 429-429.

119. Barnett, A, W Hall, and A Carter. In press. ‘Disease, wellness, and addiction: A global perspective.’ in D Stein and I Singh (eds.), Global Mental Health & Neuroethics. Amsterdam, Elsevier.

120. Carter, A., J. Illes, and W. Hall (eds.). 2012. Addiction neuroethics: The ethics of addiction neuroscience research and treatment. New York: Elsevier.

121. Carter, A., and W. Hall. In press. From coerced to compulsory treatment of addiction in the patient’s best interests: Is it supported by the evidence? In C. Spivakovsky, K. Seear, & A. Carter (eds.), Critical perspectives on coercive interventions: Law, medicine and society. Abingdon: Routledge. [Accepted 20/10/2017]

122. Dawson, A, W Hall, and A Carter. In press. ‘Cognitive research on addiction in a changing policy landscape.’ in A Verdejo-Garcia (ed.), Cognition and Addiction: A Researcher’s Guide From Mechanisms Towards Interventions. Amsterdam, Elsevier.

123. Dawson, A., J. Chandler, C. Gavanagh, W. Hall, and A. Carter. In press. Neuropsychiatric evidence as a mitigating factor in sentencing offenders with addictive behaviours. In N. Vincent (ed.), Neuro-Interventions and the law: Regulating human mental capacity. Oxford: Oxford University Press. [Accepted 10/10/2017]

124. Spivakovsky, C., K. Seear, and A. Carter. 2018. Critical perspectives on coercive interventions: Law, medicine and society. Abingdon: Routledge. [Accepted 20/10/2017]

125. Spivakovsky, C., K. Seear, and A. Carter. In press. Coercive interventions in law and medicine: Setting the scene. In C. Spivakovsky, K. Seear, and A. Carter (eds.), Critical perspectives on coercive interventions: Law, medicine and society. Abingdon: Routledge. [Accepted 20/10/2017]

31

MBI

Reignwood Culture Foundation Grant: “Quantitative simultaneous MR-PET imaging of dementia”, Chen, Egan, Li. (2016-19)

ARC Linkage Project # LP170100494 Simultaneous to synergistic MRPET: integrative brain imaging technologies. Egan, Jamadar, Chen, Premaratne, Fornito, Schmitt, Gaass, Shah. (2018-21

Siemens MoCo contract research project: Development of motion correction strategy for quantitative MR-PET imaging. Chen, Pawar, Sforazzini, Zhong. (2018-2020)

Nectar resource grant: MBI-webservices. Chen (2018-19)

ARC Linkage Project LP170100494. From simultaneous to synergistic MR-PET: integrative technologies to image the ageing brain. Egan, Jamadar, Chen, Premaratne, Fornito, Schmitt, Gaass, Shah (2018-21)

ARC Centre of Excellence CE140100007. ARC Centre of Excellence for Integrative Brain Function. Egan et al. (2014-20)

NHMRC Project Grant APP1086188 ASPREE NEURO Study: Cerebral micro-haemorrhages and aspirin in the elderly. McNeil, Bailey, Brodtmann, Egan et al., (2015-18)

NHMRC Project Grant APP1138038 The pulvinar is instrumental in the development of visual system cortical networks. Bourne, Leopold, Egan (2018-21)

ARC Discovery Grant: The influence of attentional selection on perceptual decision making. Bellgrove, O’Connell, Coxon (2018)

ARC Discovery Grant. Mechanisms and contexts driving impulsivity. Verdejo-Garcia, Stout, Bellgrove (2018)

Faculties of Science, IT and Engineering, ECR Interdisciplinary Research Seed Grant Scheme. SeSaMI, Secure Sharing of Medical Images. Zolotavkin, Herrmann, Li, Ward (2018)

ARC Discovery Project: Modelling trajectories of cognitive control in adolescents and young adults. Karayanidis, Forstmann, Steyvers, Jamadar, Hawkins, Lenroot, Michie (2017-)

Australian Rotary Health (ARH). Advanced diffusion weighted imaging techniques and Quantitative Susceptibility Mapping in the Longitudinal MRI study in MND. Bhattarai, Chua,

Chen, Egan, Talman (2018-2021)

Monash University. Simultaneous haemodynamic and metabolic fingerprinting using MR-PET. Ward, Aquino, Jamadar (2018)

NH&MRC Project Grant APP1078943. Dissecting the central organization of cough neural networks. Mazzone, Farrell (2015-2018)

Cerebral Palsy Foundation. MRI guided-focused ultrasound: a novel delivery system for neural stem cells to repair the injured neonatal brain. McDonald, C., De Veer, M. et al (2018)

Friedreich Ataxia Research Alliance (USA). Neuroinflammation in Friedreich Ataxia: Mechanism, Biomarker, and Therapeutic Target. Harding, Corben, Delatycki, Egan, Georgiou-Karistianis (2019-2021)

The Heart Foundation, Prevention of Stroke in Older Australians. Zoungas, McNeil, Storey, Reid, Nelson, Liew, Tonkin, Poulter, Stewart, van der Velde, Wolfe, Harding, Lacaze (2019-2023)

NHMRC Project Grant (1140197), The Neurocircuitry of Food Choice in Obesity. Verdejo-Garcia, Andrews, Lockie, Harding (2018-2022)

NHMRC Early Career Fellowship (1106533), Mapping Brain Network Interactions in Neurodegenerative Disorders of the Subcortex. Harding (2016-2020)

Career Development Strategic Grant (SGS17-0565), Monash University, Neuroinflammation as a Mechanism, Biomarker, and Therapeutic Target in Neurodegenerative Diseases. Harding, Egan, Georgiou-Karistianis (2017-2018)

BMH

The David Winston Turner Endowment Fund and Monash University: Addiction and obsessive-compulsive disorder project: The David W Turner Clinic (BrainPark). Yücel, Segrave, Fontenelle, Cornish (2017-18)

The David Winston Turner Endowment Fund: Addiction and obsessive-compulsive disorder project: Integrating neuroscience into the clinic. Yücel, Fontenelle, Cornish (2015-21)

NHMRC Principal Research Fellowship: Enhancing and integrating addiction neuroscience knowledge with clinical practice, by transforming the approach to assessment and classification protocols, and improving outcomes by using neurocognitive phenotypes for tailored treatments. Yücel (2017-21)

ARC Discovery Project: How inhibition shapes human brain oscillations and working memory capacity. Rogasch, Fornito, Hawi, Yücel (2017-19)

NHMRC Career Development Fellowship: Translating neuroscience into treatments and public health policies for addictive behaviours. Carter (2017-21)

Victorian Responsible Gambling Foundation: Extent of, and young people’s exposure to, gambling advertising and sponsorship messages in sport and non-sport TV. O’Brien, Rintoul, Livingstone, Carter, Verdejo-Garcia (2017-18)

Dept Industry, Innovation & Science. Innovations Connections Partnership: Business Researcher Placement: Development of ‘engaging’ online cognitive assessment package for addiction and mental health. Lee, Segrave, Albertella, McIntosh, Yücel (2018)

Cientista de nosso Estado (Scientist of Our State) fellowship. Fontenelle (2017-20)

Brain & Behavior Research Foundation. Assessing GABAergic dysfunction in the prefrontal cortex of people with schizophrenia. Rogasch (2016-18)

The Wilson Foundation: The Wilson-BrainPark Senior Research Fellowship. Yücel, Segrave (2019-2021)

NHMRC Project Grant. MonCOG: Validating a neurocognitive framework and developing a purpose-built assessment tool for addictions. Yücel, Lee, Chamberlain (2019-20)

NHMRC Project Grant. Efficacy of a 3-month aerobic exercise regime for restoring ‘brain health’ in heavy cannabis users. Yücel, Solowij, Coxon, Lubman (2018-21)

NHMRC Project Grant: Cannabidiol may protect the brain against the harmful effects of marijuana. Yücel, Solowij (2018-2021)

Department of Industry, Innovation and Science: BrainPark: Revealing a new approach to addiction and OCD (‘BrainPark’ launch as part of National Science Week). Waterer, Yucel, Segrave, Allen (2018)

NHMRC Equipment Grant: Exercise Physiology System. Segrave, Yücel, Egan, Watt, Rajaratnam, Cornish, Skouteris, Robinson, A Verdejo-Garcia, Coxon (2018)

Monash Graduate Research Postgraduate Publication Award: Dawson (2018)

Monash Graduate Research Postgraduate Publication Award: Chye (2018)

NHMRC Project Grant A dimensional approach to mapping the risk mechanisms of mental illness. Fornito, Bellgrove, Yücel, Fulcher, Hawi (2018-2022).

ARC Linkage Project: From simultaneous to synergistic MR-PET: integrative technologies for imaging the ageing brain. Egan, Jamadar, Chen, Premaratne, Fornito, Schmitt, Gaass, Shah (2018 -2021)

Monash University Bridging Postdoctoral Fellowship: Chye (2018-2022).

Monash University Networks of Excellence grant. Excellence and Leadership in Neuroethics: An International Network for Responsible Neuroinnovation. Carter, Rosenfeld, Gardner, Walvisch, Iles, Chandler, Maslen (2018-2019)

Monash University Faculty of Arts and Faculty of Medicine, Nursing and Health Sciences Interdisciplinary Research Scheme. Neurofutures: The neuroethics of ageing and dementia. Carter, Warren, Stout, Gardner, Ibrahim (2018)

Monash University Faculty of Arts and Faculty of Medicine, Nursing and Health Sciences Interdisciplinary Research Scheme: What makes for high quality care online? Counsellor and client perceptions of care in online counselling. Savic, Warren, Carter, Pienaar, Manning, Lubman (2018)

32

Grants MoNoC

ARC Discovery Grant. Neural origins of conscious perception in no-report paradigms. Tsuchiya, Oizumi, Kawasaki, Tononi. (2018-2020)

ARC Discovery Grant. Multimodal testing for a fast subcortical route for salient visual stimuli. Garrido, Tsuchiya, Rutishauser, Adolphs (2018-2020)

Templeton World Charity Foundation: Intelligence and consciousness in flies. Tsuchiya (2017-2019)

NHMRC Early-Career Fellowship (APP1161498) Fathoming sleep depth: a novel approach to the understanding and assessing of sleep-state misperception in insomnia. Andrillon, Drummond, Tsuchiya (2020-2024)

HFSP Long-Term Fellowship (LT000362/2018-L) The origin of thoughts: neural mechanisms of spontaneous thought generation in wakefulness and sleep. Andrillon, Tsuchiya, Pearson (2018-2020)

IBRO Post-Doctoral Fellowship: The influence of reports on the correlates of consciousness. Andrillon, Tsuchiya, Pearson (2017-2018)

2018, Network of Excellence (PIs: Bayne, Modi, Tsuchiya, Hohwy)

2017-2018, Strategic Initiative Project (SIP) funding for Associate Investigators of the ARC Centre for Integrative Brain Function. PI Tsuchiya, Garrido, Price, Hohwy, Dzafic, van Boxtel.

Mind Science Foundation: Tom Slick Award. Tsuchiya, Haun, Kawasaki, Tononi (2017-2018)

Japan Science and Technology CREST (Core Research for Evolutionary Science and Technology): Construction of artificial consciousness based the axiomatic computational theories in neuroscience and its engineering application into real life. Kanai, Kawanabe, Maekawa, Tsuchiya, Oizumi, Miyanishi, Morales, Watanabe, Kanemura (2015-2020).

Monash Platform Access Grant. Are wake and sleep intertwined phenomena? Insights from EEG experiments in humans. Andrillon, Windt, Bei (2018-2020)

Japan SPS: Discovery of the neuronal mechanisms within sensory cortical areas that supports fear memory. Koizumi, Tsuchiya. (2018-2021)

2019-2020, On the link between neural spatio-temporal patterns and qualia of others’ emotions in healthy and clinical/subclinical populations. Foandazione, Italy (Sessa, Tsuchiya)

National Computational Merit Allocation Scheme (200,000 CPU-core hours) Tsuchiya (2019)

National Computational Merit Allocation Scheme (200,000 CPU-core hours) Andrillon (2019)

Foundational Questions Institute: Agency in the Physical World. Modi, Tsuchiya and Hohwy (2019),

33

MBI

Memberships and Registrations

International Society for Magnetic Resonance in Medicine (Chen, Z; Pawar, K; Li, S; Egan GF)

International Organisation for Human Brain Mapping (Farrell, M Li, S, Jamadar, S; Egan GF)

Institute of Electrical and Electronics Engineers (Chen, Z)

Australian Pain Society (Farrell, M)

Australian Neuroscience Society (Farrell, M; Jamadar, S; Egan GF)

Society for Neuroscience (Farrell, M; Jamadar, S; Egan GF)

International Association for the Study of Pain (member of Pain in Older Persons SIG) (Farrell, M)

American Physiological Society (Farrell, M)

Australasian Cognitive Neuroscience Society (Jamadar, S)

Australian Society of Immunology (de Veer, M)

Committees

ISMRM Annual Meeting Program Committee (Chen, Z)

Australian National Imaging Facility, Molecular Imaging Thematic Group and Industry Engagement Committee (de Veer, M)

Board Member, Australian Pain Society (APS) Scientific Committee (Farrell, M)

Chairperson, Australian Pain Society PhD Scholarship Committee (Farrell, M)

Board Member, Australian Pain Relief Association (APRA) (Farrell, M)

International Neuroinformatics Co-ordinating Facility, Deputy Chairperson, Governing Board Member (Egan GF)

Australasian Neuroscience Society, Executive Committee member and Treasurer (Egan GF)

Australian Brain Alliance, Australian Academy of Sciences, Co-Chair (Egan GF)

Human Brain Project, International Expert Review Panel (Egan, GF)

Herston Imaging Research Facility, Scientific Advisory Board Member (Egan, GF)

Australian Academy of Science Brain Implementation Committee (Egan, GF)

ARC Centre of Excellence for Integrative Brain Function, Director and Chairperson, Executive Committee (Egan GF)

Club Melbourne, Member & Ambassador, State Government of Victoria (Egan, GF)

Australian National Imaging Facility, Deputy Director and Monash Node Director, Operations Committee (Egan, GF)

Global Brain Consortium, McGill University, Montreal, Steering Committee Member (Egan, GF)

Chair, Local Organising Committee, Emerging Researchers in Ageing conference (Jamadar, S)

Australian Cognitive Neuroscience Society Executive, (Jamadar, S)

Australasian Neuroscience Society Gender Equity and Diversity Committee (Jamadar S)

ARC Centre of Excellence for Integrative Brain Function Gender Equity and Diversity Committee (Jamadar S)

Society for Psychophysiological Research Young Investigator Award Committee (Jamadar S)

Chair, Local Organising Committee, Emerging Researchers in Ageing Conference (Jamadar S)

Co-founder, Australasian Women in Neuroscience (Jamadar S)

Editorships

Co-Editor-in-Chief, Human Brain Mapping (Egan, GF)

International Journal of Imaging Systems and Technology (Egan, GF)

Frontiers in Neuroscience, Frontiers Research Foundation, (Egan, GF)

Frontiers in Psychology Cognition, Associate Editor (Jamadar, S)

Associate Editor, Human Brain Mapping (Farrell, M)

Review Editorial Board of Respiratory Physiology, Frontiers in Physiology (Farrell, M)

Associate Editor, Autonomic Neuroscience, Frontiers in Physiology (Farrell, M)

Assessorships National Health & Medical Research Council Project Grants (Jamadar, S; de Veer, M)

Computerized Medical Imaging and Graphics (Chen, Z)

Australian Research Council (Chen, Z; Jamadar, S; de Veer, M)

Patents

K. Pawar, Z. Chen, N. J. Shah, and Gary Egan. Method and System of image reconstruction for magnetic resonance imaging. Australian application number 2018901690, filing date: 15.05.2018.

K. Pawar, Z. Chen, N. J. Shah, and Gary Egan. Method and System of motion correction for magnetic resonance imaging. Australian application number 2018901688, filing date: 15.05.2018.

BMH

Memberships and Registrations

APS College of Clinical Neuropsychologists (Yücel, M)

APHRA endorsement in the clinical practise area of Clinical Neuropsychology (Yücel, M; Segrave, R)

Australasian Society of Lifestyle Medicine (Yücel, M; Segrave, R)

Australian Health Practitioner Registration Agency (Yücel, M; Segrave, R)

Australian Psychological Society (Yücel, M)

Member, Biological Psychiatry Australia (Yücel, M; Segrave, R)

Member, Australasian Society for Psychiatric Research (Yücel, M)

Member of Australian Academy of Science’s National Committee on Brain and Mind Science (Fornito, A)

Organization for Human Brain Mapping (Fornito, A; Rogasch, N)

Australasian Cognitive Neuroscience Society (Rogasch, N)

Australasian Psychophysiology Society (Segrave, R)

Society for the Study of Addiction (Carter, A)

International Neuroethics Society (Carter, A)

International Behavioural Trials Network (Segrave, R)

ProfessionalContributions

34

Committees

Program Leader, Addiction and Mental Health, Monash Institute of Cognitive and Clinical Neurosciences, Monash University (Yücel, M)

Listed on 2018 Clarivate Analytics Highly Cited Researchers List (top 1% internationally) (Yücel, M; Fornito, A)

Executive Council Member, Biological Psychiatry Australia (Fornito, A)

Organization for Human Brain Mapping, Australian Chapter (Fornito, A)

Australian Brain Alliance (Fornito, A; Carter, A)

Director, Neuroethics Program, Australian Centre for Integrative Brain Function (Carter, A)

Co-Chair, Neuroethics and Responsible Research and Innovation Committee, Australian Academy of Science (Carter, A)

International Council of Neuroethics (ICON) Leaders (Carter, A)

Treasurer, Australasian Brain Stimulation Society (Rogasch, N)

Core Organising Group, Global Neuroethics Summit, International Brain Initiative (Carter, A)

Membership Committee and Emerging Issues Task Force, International Neuroethics Society (Carter, A)

National Committee for the Brain and Mind, Australian Academy of Science (Carter, A)

Editorships

Editorial Board Member, Neuroscience Biobehaviour Review (Yücel, M)

Psychiatry Research and Neuroimag (Yücel, M)

The Open NeuroImaging Journal (Yücel, M)

Editorial Board, Journal of Neuroscience (Fornito, A)

Editorial Board, Bioethical Inquiry (Carter, A)

Editorial Board, Neuroethics (Carter, A)

Editorial Board, Biological Psychiatry (Fornito, A)

Editorial board, Biological Psychiatry: Cognitive Neuroscience and Neuroimaging (Fornito, A)

Associate Editor, Science Advances (Fornito, A)

Editorial Board, Neuroimage (Fornito, A)

Senior Editor, Network Neuroscience (Fornito, A)

Assessorships

National Health & Medical Research Council of Australia (Rogasch, N; Segrave, R)

Australian Research Council (Yücel, M; Rogasch, N)

ZonMW (NETH) (Yücel, M)

NHMRC (Fornito, A, Carter A)

ARC (Fornito, A; Carter A)

Wellcome Trust (Fornito, A)

Research Foundation - Flanders, International Fellowship Assessor (Segrave, R)

Health Research Council of New Zealand (Segrave, R)

MoNoC

Memberships and Registrations

Association for the Scientific Study of Consciousness (Tsuchiya, N; van Boxtel, Andrillon, T)

Vision Sciences Society (van Boxtel, J)

Australasian Cognitive Neuroscience Society (van Boxtel, J; Tsuchiya N)

Australasian Society for Cognitive Science (van Boxtel, J)

Sleep Research Society (Andrillon, T)

European Sleep Research Society (Andrillon, T)

Committees

Initiative for Synthetic Study of Awareness, Summer School (Tsuchiya, N)

Consciousness Related Network (Tsuchiya, N)

Editorships

Frontiers in Psychology Cognition, Review Editor (Tsuchiya, N)

Neuroscience of Consciousness (Tsuchiya, N)

Consciousness and cognition (Tsuchiya, N)

Sleep spindles and cortical up-states (Andrillon, T)

Assessorships

Australian Research Council (Tsuchiya, N)

35

36

OutreachActivities

MBI

Attendance and presentation at locally organised symposia and workshops

Chen, Z., De Veer, M. Victorian Biomedical Imaging Capability – VBIC network meeting

Chen, Z. Siemens MR R&D User Group Meeting

Chen, Z. Monash eResearch Machine Learning Symposium.

Chen, Z. CSIRO C3DIS meeting

De Veer, M. Monash Biomedical Imaging Pre-Clinical Imaging Symposium

De Veer, M. Global Biomedical Imaging Consortium Conference, Sydney

De Veer, M. Biocurate meeting, Monash University

De Veer, M. Department of Medicine seminar series, Monash University

De Veer, M. Australian Regenerative Medicine Institute seminar series, Monash University

De Veer, M. CSIRO Therapeutic Goods Administration workshop, CSIRO

Egan, G. Defence Science & Technology Group & University of Adelaide Symposium - Human Brain Measurement and Modification Technologies in 2040, Adelaide

Egan, G. Australian Research Council Major Investments Forum, Canberra

Egan, G. Neuroscience Research Australia (NeuRA), invited presentation, Sydney

Farrell, M. scientific program committee of the 2018 Australian Pain Society and New Zealand Pain Society Conjoint Annual Scientific Meeting, Sydney

Jamadar, S. Chair, Local Organising Committee, Emerging Researchers in Ageing conference

Jamadar, S. Elected General Member, Australasian Cognitive Neuroscience Society

Jamadar, S. Australasian Neuroscience Society Gender Equity and Diversity Committee member

Ward, P. CIBF Early Career Researcher Retreat, Melbourne, Australia.

Ward, P. CIBF Early Career Researcher Workshop, Brisbane, Australia.

Attendance and presentations at international symposia/conferencesChen, Z., De Veer, M. Monash delegates at the Monash-NTU workshop held in Singapore

Chen, Z. International Society of Magnetic Resonance in Medicine (ISMRM), Paris

Chen, Z. 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney

Egan, G. International Society of Neuroscience Keynote, Hong Kong

Egan, G. World Federation of Nuclear Medicine Biology International Conference (WFNMB2018) Invited presentation, Melbourne

Egan, G. International Neuroscience Symposium, Monash University, invited presentation, Kuala Lumpur

Farrell, M. Tenth London International Cough Symposium, Imperial College - Plenary Presentation, London

Farrell, M. Attended Organization for Human Brain Mapping Annual Meeting 2018, Singapore

Jamadar, S. Society for Psychophysiological Research Young Investigator Award Committee

Jamadar, S. Organisation for Human Brain Mapping, Singapore

Ward, P. Co-Chair International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting ECR Program, The Secret Sessions, Paris

Ward, P. International Society of Magnetic Resonance in Medicine (ISMRM), Paris

Ward, P. FENS Forum of Neuroscience, Berlin

Ward, P. World Federation of Nuclear Medicine and Biology, Melbourne

Ward, P. Australasian Neuroscience Society Annual Meeting, Brisbane

Ward, P. 13th Annual Friedreich Ataxia Scientific Symposium, Melbourne

Ward, P. 1st Meeting of the Organisation for Human Brain Mapping Australian Chapter, Melbourne

MediaChen, Z. MR-PET motion correction research highlighted as video abstract by ResearchSquare.com

Chen, Z. Deep learning motion correction research featured in MASSIVE 2019 annual report.

Farrell, M. Expert opinion regarding: Drink Up! Most of Us Could Benefit From More Water, Jane E. Brody The New York Times. 3AW radio Drive Time, 7 August 2018

Ward, P. https://www.dementia.org.au/research/news/improved-brain-scans-now-possible-thanks-to-australian-researcher

Ward, P. https://www.dementiadaily.org.au/improved-mapping-brains-vascular-system-now-possible-thanks-australian-researcher/

Ward, P. https://blog.ismrm.org/2018/05/31/shhhh-i-have-a-secret/

BMH

Attendance and presentation at locally organised symposia and workshops

Aquino, K. NeuroEng 2018, Sydney

Aquino, K. Dynamic Causal Modelling course: https://kevinaquino.github.io/teaching.html

Aquino, K. Laminar Specific fMRI workshop, University of Queensland and Monash University

Segrave, R. Australian Brain Alliance EMCR Brain Science Network VIC symposium, Melbourne

Segrave, R. Dunlop Medical Research Foundation Symposium, The Austin Hospital, Melbourne

Segrave, R. Vice Chancellors Global Leaders Summit, 4 September, Melbourne

Attendance and presentations at international symposia/conferences

Aquino, K. High-field fMRI workshop, Nottingham, England

Rogasch, N. International Forum on Brain Dysfunction and Neuromodulation – keynote presentation, Shenzhen, China.

Media

Rogasch, N. Interviewed for Radio National Health Report

Yücel, M. Interviewed for ABC television’s national 7:30 Report episode on gaming addiction

Yücel, M. Featured in Monash University’s “Change It” campaign

Yücel, M. & Segrave, R. Multiple television and print appearances related to the launch of BrainPark

Abbreviations3D 3 Dimensional3T/9.4T/7T 3 Tesla / 9.4 Tesla / 7 Tesla18F Fluorine-18ADHD Attentional deficit hyperactivity disorder AI Artificial intelligence ANSTO Australian Nuclear Science and Technology OrganisationASD Autism spectrum disorderARA Alfred Research Alliance ARC Australian Research CouncilARC LIEF Australian Research Council Linkage Infrastructure Equipment and Facilities BMH Brain and Mental Health Research HubBMTF Biomedical Materials Translational FacilityCIBF Australian Research Council Centre of Excellence for Integrative Brain FunctionCOPD Chronic obstructive pulmonary diseaseCSIRO Commonwealth Scientific Industrial Research OrganisationCT Computed tomographyEEG ElectroencephalogramFARA Friedreich Ataxia Research Alliance FDG 18F-fluorodeoxyglucoseFDOPA FluorodopaFLECT Fluorescence emission computed tomographyfMRI Functional magnetic resonance imagingFDG-fPET [18F]-fluorodeoxyglucose – functional positron emission tomographyGBI Global Biomedical ImagingGSPIONs Conjugated super-paramagnetic iron oxide nanoparticlesISMRM International Society of Magnetic Resonance in MedicineMBI Monash Biomedical ImagingMoND Mechanisms of Neurodegeneration MoNoC Monash Neuroscience of Consciousness Research LaboratoryMPI Magnetic particle imaging MPRAGE Magnetization Prepared Rapid Acquisition Gradient EchoMRI Magnetic resonance imagingMR-PET Magnetic resonance - Positron emission tomographyNCRIS National Collaborative Research Infrastructure SchemeNHMRC National Health and Medical Research CouncilNIF National Imaging FacilityPET Positron emission eomographyPET-CT Positron emission eomography – computed tomographyPQMS Platform Quality Management System QSM Quantitative susceptibility mappingSPECT Single photon emission computed tomographyMICCN Monash Institute of Cognitive and Clinical NeurosciencesTMS Transcranial magnetic stimulationUTE Ultra-short echo timeVBIC Victorian Biomedical Imaging Capability

37

Public Events

Allen, A., Detez, L. & Chung, O. Virtual Reality demonstration at Monash University Open Day, Melbourne

Yücel, M. Keynote speaker at Australian Academy of Science’s public-facing “The Science of Us” series, for the “When We Are Addicted” topic, Canberra Australia

Yücel, M., Segrave, R., Allen, A. & Morrow, J. Community open evening: BrainPark: Revealing a new approach to addiction and OCD, Melbourne Australia

MoNoC

Attendance and presentation at locally organised symposia and workshops

Tsuchiya, N. Mini workshop: Culture and Evolution, Melbourne,

Tsuchiya, N. Causation and Complexity in the Conscious Brain, Melbourne

Attendance and presentations at international symposia/conferences

Andrillon, T. European Sleep Research Society, Basel, Switzerland

Davidson, M. Australasian Cognitive Neuroscience Society meeting, Melbourne

Andrillon, T. Australasian Cognitive Neuroscience Society meeting, Melbourne

Andrillon, T. Society for Neuroscience annual meeting, San Diego, USA

Leung, A. Australasian Cognitive Neuroscience Society meeting, Melbourne

Leung, A. NeuroEng, Sydney

Rowe, E. Australasian Cognitive Neuroscience Society meeting, Melbourne

Tsuchiya, N. Association for the Scientific Study of Consciousness, 22th annual meeting. Krakow, Poland.

Tsuchiya, N. Quantum Cognition, Japan

Tsuchiya, N. (2018). TCWF, St Andrews, Scotland

Tsuchiya, N. Human Brain Project International Conference, Barcelona, Spain

Tsuchiya, N. Australasian Cognitive Neuroscience Society meeting, Melbourne

Tsuchiya, N. NeuroEng, Sydney

Walter, J. Australasian Cognitive Neuroscience Society meeting, Melbourne

Notes

38 39

MONASHBIOMEDICALIMAGING

Monash Biomedical Imaging

Monash University

770 Blackburn Road

Clayton VIC 3800

Telephone: (03) 9905 0100

Email: enquiries.mbi@monash.edu

platforms.monash.edu/mbi/

All information contained in this document is current at the time of publication. Monash University reserves the right to alter this information at any time (should the need arise). Please check the Monash University website for updates: www.monash.edu

Published May 2018.

CRICOS provider: Monash University 00008C

www.monash.eduQuality ISO 9001