neuGRID e outGRID: una infrastruttura elettronica globale ... · neuGRID e outGRID: una...
Transcript of neuGRID e outGRID: una infrastruttura elettronica globale ... · neuGRID e outGRID: una...
neuGRID e outGRID: una neuGRID e outGRID: una infrastruttura elettronica globale infrastruttura elettronica globale
per le neuroscienze computazionaliper le neuroscienze computazionali
Giovanni B FrisoniGiovanni B Frisoni
Vice Scientific DirectorVice Scientific DirectorIRCCS Fatebenefratelli, The National Center for AlzheimerIRCCS Fatebenefratelli, The National Center for Alzheimer’’s and s and
Mental Diseases, Brescia, ItalyMental Diseases, Brescia, Italy
WHY DO NEUROSCIENTISTS NEED WHY DO NEUROSCIENTISTS NEED ee--INFRASTRUCTURES TO STUDY AND INFRASTRUCTURES TO STUDY AND
TREAT ALZHEIMERTREAT ALZHEIMER’’S DISEASE?S DISEASE?
Alzheimer’s dementia
Mild cognitive impairment
No cognitive symptoms
-50 -40 -30 -20 -10 -5 0 10 Years from diagnosis of AD30 40 50 60 70 80 90 Age
Am
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d an
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With markers
AD path.
Clinical
Diagnosis
Current understanding of what Current understanding of what constitutes Alzheimerconstitutes Alzheimer’’ss
Impossible
Alzheimer’s
Mild cognitive impairment
No cognitive symptom
30 40 50 60 70 80 90 100 Age
Early diagnosis + Early diagnosis + antianti--amyloid drugsamyloid drugs
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tion
Recipe to develop markers for AlzheimerRecipe to develop markers for Alzheimer’’s disease:s disease:1. Large databases (‘0,000s) of very mildly affected patients
T6T0 T18T12 …
…
US ADNI
≈10,000 imagesAustralian ADNI (AIBL)
≈
4,000 images
Japanese ADNI (≈
3,000 images)
European ADNI (IMI Pharma-cog)
(≈
1,500 images)
Recipe to develop markers for AlzheimerRecipe to develop markers for Alzheimer’’s disease:s disease:1.Large databases (‘0,000s) of very mildly affected patients
2.Sophisticated algorithms for image analysis
Cortical thickness at month 0
Cortical thickness at month 30 Difference analysis
1.50 mm 4.50 mm +.50 -.50
Recipe to develop markers for AlzheimerRecipe to develop markers for Alzheimer’’s disease:s disease:1.Large databases (‘0,000s) of very mildly affected patients
2.Sophisticated algorithms for image analysis3.Sophisticated statistical models
0 | 1 | 2 | 3 Years from dementia
-3 | -2 | -1 |
Gray matter change in
Healthy elders
Very early Alzheimer’s
Recipe to develop markers for AlzheimerRecipe to develop markers for Alzheimer’’s disease:s disease:1.Large databases (‘0,000s) of very mildly affected patients
2.Sophisticated algorithms for image analysis3.Sophisticated statistical models
4.Powerful computational resources
FR CH
IT NL SW
FP7 neuGRIDComputational grid-
and Géant-based e-
Infrastructure
• Includes world’s largest image databases on Alzheimer’s (US-ADNI, A-ADNI)
• Includes an advanced algorithm for cortical thickness extraction (McGill, Canada)
• Built general but to be expanded with more applications (i.e. stat models) when available
• Born with 450 cores, expandable “ad libitum”
Web Portal
• AJAX-based Portal• CAS SSO Framework
• Grid Proxy Applet• MyProxy Session
Web PortalWeb Portal
• AJAX-based Portal• CAS SSO Framework
• Grid Proxy Applet• MyProxy Session
LORIS Database
• Connected to SSO• Interfaces to Data Acq• Interfaces to Data QC
LORIS DatabaseLORIS Database
• Connected to SSO• Interfaces to Data Acq• Interfaces to Data QCOnline Shell Access
• GSISSH Applet• Access to Grid Infra.
• CIVET Pipeline gridified• SFTP Facility to Upload
Online Shell AccessOnline Shell Access
•• GSISSH Applet• Access to Grid Infra.
• CIVET Pipeline gridified• SFTP Facility to Upload
Data challenge on the whole grid infrastructure (9/2009)
Cortical thickness extraction (CIVET)6,500 image ADNI dataset
10 days
Recipe to develop markers for AlzheimerRecipe to develop markers for Alzheimer’’s disease:s disease:1.Large databases (‘0,000s) of very mildly affected patients
2.Sophisticated algorithms for image analysis3.Sophisticated statistical models
4.Powerful computational resources5.Strong link with related international efforts
FP7 outGRIDA Worldwide e‐Infrastructure
for Computational Neuroscientists
FP7 outGRIDA Worldwide e‐Infrastructure for
Computational Neuroscientists
• Access to large image datasets• Image analysis algorithms• Grid-based high performance computing
• Image analysis algorithms• Grid-based high performance computing
• Home to world largest image dataset on Alzheimer’s• Image analysis algorithms• Friendly Pipeline Interface• Centralized high performance computing
FP7 outGRIDA Worldwide e‐Infrastructure for
Computational Neuroscientists
OBJECTIVES• Define activities (including research and development)
and outline technical specifications for interoperability
• Foster, within the project’s lifetime, the maximum possible degree of interoperability allowed by this Support Action among the 3 infrastructures
• Lay the foundations for a larger research and development effort aimed to achieve full interoperability among the three infrastructures
FP7
FP7
THE GRAND VISIONA Worldwide e‐Infrastructure for Computational Neuroscientists
CAnet
Internet2.0 Géant
Markers for diagnosis and of disease activity
Diabetes Alzheimer’s
Diagnosis Glicaemia
• Atrophy greater than normal• Lower glucose utilization• Higher amyloid depositionWITH SPECIFIC TOPOGRAPHY
Monitor treatment effect
Glycated hemoglobin
• Progression of atrophy• Progression of glucose under-utilization (PET)WITH SPECIFIC TOPOGRAPHY
0 -.125 -.25