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Simultaneous EEG and fMRI
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Simultaneous EEG and fMRI: Recording, Analysis, and Application

Markus Ullsperger and Stefan Debener

Abstract

Systemic interactions in brain networks have been successfully studied in vivo using non-invasive methods such as electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), for many years. The rate-limiting step, however, is that each method can only map selective aspects of brain function, while missing other key aspects. Furthermore, the inferences on neuronal processes and information flow are often rather indirect. By simultaneously combining both methods, the researcher is better able to make optimal use of their specific advantages while compensating for their disadva ... More

Keywords: EEG, fMRI, multimodal recording, simultaneous EEG-fMRI, data fusion, cognitive neuroscience, systemic neuroscience, electrophysiology, hemodynamic, human

Bibliographic Information

Print publication date: 2010 Print ISBN-13: 9780195372731
Published to Oxford Scholarship Online: May 2010 DOI:10.1093/acprof:oso/9780195372731.001.0001

Authors

Affiliations are at time of print publication.

Markus Ullsperger, editor
Department of Cognitive Neurology, Max Planck Inst

Stefan Debener, editor
Department of Neurology, University Hospital Jena,

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Contents

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Part 1 Physiological Basics of EEG and fMRI

1.1 The Sources and Temporal Dynamics of Scalp Electric Fields

Christoph M. Michel, and Daniel Brandeis

1.2 Physiological Basis of the BOLD Signal

Jozien Goense, and Nikos K. Logothetis

Part 2 Technical Basics of Recording Simultaneous EEG-fMRI

2.2 Scanning Strategies for Simultaneous EEG-fMRI Recordings

Andrew P. Bagshaw, and Christian-G. Bénar

2.3 Removal of MRI Artifacts from EEG Recordings

Tom Eichele, Matthias Moosmann, Lei Wu, Ingmar Gutberlet, and Stefan Debener

2.4 Influence of EEG Equipment on MR Image Quality

Karen Mullinger, and Richard Bowtell

Part 3 Multimodal Data Integration

3.1 Using ICA for the Analysis of Multi-Channel EEG Data

Stefan Debener, Jeremy Thorne, Till R. Schneider, and Filipa Campos Viola

3.2 Using ICA for the Analysis of fMRI Data

Giancarlo Valente, Fabrizio Esposito, Federico de Martino, Rainer Goebel, and Elia Formisano

3.3 EEG-Informed fMRI Analysis

Markus Ullsperger

3.4 Fusion of EEG and fMRI by Parallel Group ICA

Vince D. Calhoun, and Tom Eichele

3.5 Parallel EEG-fMRI ICA Decomposition

Tom Eichele, and Vince D. Calhoun

3.6 The Hemodynamic Response of EEG Features

JC de Munck, SI Gonçalves, PJ van Houdt, R Mammoliti, P Ossenblok, and FH Lopes da Silva

3.7 Integration of Separately Recorded EEG/MEG and fMRI Data

Michael Wibral, Christoph Bledowski, and Georg Turi

3.8 Analyzing Effective Connectivity with EEG and MEG

Stefan J. Kiebel, Marta I. Garrido, and Karl J. Friston

3.9 Analyzing Functional and Effective Connectivity with fMRI

Klaas Enno Stephan, and Karl J. Friston

Part 4 Applications

4.2 Clinical Applications: Epilepsy

Helmut Laufs, and Rachel Thornton

End Matter