Design and Implementation of 2D Spatial Filter for EEG and MRI Segmentation
Simultaneous EEG and f MRI
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I Simultaneous EEG and f MRI Recording, Analysis, and Application EDITED BY: Markus Ullsperger, MD, PhD Biological Psychology I Donders Centre for Cognition Radboud University Nijmegen Nijmegen, The Netherlands; and Max Planck Institute for Neurological Research Cologne, Germany Stefan Debener, PhD Institute of Psychology Carl von Ossietzky University Oldenburg Oldenburg, Germany; and Biomagnetic centre Hans Berger Clinic for Neurology University Hospital Jena Jena, Germany OXJORD UNIVERSITY PRESS 2010
Transcript of Simultaneous EEG and f MRI
I
Simultaneous EEG and f MRI Recording, Analysis, and Application
EDITED BY:
Markus Ullsperger, MD, PhD Biological Psychology I Donders Centre for Cognition Radboud University Nijmegen Nijmegen, The Netherlands; and Max Planck Institute for Neurological Research Cologne, Germany
Stefan Debener, PhD Institute of Psychology Carl von Ossietzky University Oldenburg Oldenburg, Germany; and Biomagnetic centre Hans Berger Clinic for Neurology University Hospital Jena Jena, Germany
OXJORD UNIVERSITY PRESS
2010
Contents
Contributors xi
1. Physiological Basics of EEG and fMRI i 1.1. The Sources and Temporal Dynamics of Scalp
Electric Fields (Christoph M. Michel and Daniel Brandeis) 3
1.2. Physiological Basis of the BOLD Signal (Jozien Goense and Nikos K. Logothetis) 21
1.3. Studies of the Human Brain Combining Functional Neuroimaging and Electrophysiological Methods (Abraham Z. Snyder and Marcus E. Raichle) 47
2. Technical Basics of Recording Simultaneous EEG-fMRI 67 2.1. Recording EEG Signals Inside the MRI (Ingmar
Gutberlet) 69 2.2. Scanning Strategies for Simultaneous EEG-
fMRI Recordings (Andrew P. Bagshaw and Christian-G. Benar) 85
2.3. Removal of MRI Artifacts from EEG Recordings (Tom Eichele, Matthias Moosmann, Lei Wu, Ingmar Gutberlet, and Stefan Debener) 95
2.4. Influence of EEG Equipment on MR Image Quality (Karen Mullinger and Richard Bowtell) 107
3. Multimodal Data Integration 119 3.1. Using ICA for the Analysis of Multi-Channel
EEG Data (Stefan Debener, Jeremy Thorne, Till R. Schneider, and Filipa Campos Viola) 121
3.2. Using ICA for the Analysis of fMRI Data (Giancarlo Valente, Fabrizio Esposito, Federico de Martino, Rainer Goebel, and Elia Formisano) 135
3.3. EEG-Informed fMRI Analysis (Markus Ullsperger) 153
3.4. Fusion of EEG and fMRI by Parallel Group ICA (Vince D. Calhoun and Tom Eichele) 161
3.5. Parallel EEG-fMRI ICA Decomposition (Tom Eichele and Vince D. Calhoun) 175
3.6. The Hemodynamic Response of EEG Features (JC de Munck, SI Conceives, PJ van Houdt, R Mammoliti, P Ossenblok, and FH Lopes da Silva) 195
3.7. Integration of Separately Recorded EEG/MEG and fMRI Data (Michael Wibral, Christoph Bledowski, and Georg Turi) 209
3.8. Analyzing Effective Connectivity with EEG and MEG (Stefan J. Kiebel, Marta I. Garrido, and Karl J. Friston) 235
3.9. Analyzing Functional and Effective Connectivity with fMRI (Klaas Enno Stephan and Karl J. Friston) 251
4. Applications 269 4.1. Linking Band-Limited Cortical Activity to fMRI
and Behavior (Markus Siegel and Tobias H. Donner) 271
4.2. Clinical Applications: Epilepsy (Helmut Laufs and Rachel Thornton) 295
Index 311
