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Simultaneous EEG and fMRIRecording, Analysis, and Application$
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Markus Ullsperger and Stefan Debener

Print publication date: 2010

Print ISBN-13: 9780195372731

Published to Oxford Scholarship Online: May 2010

DOI: 10.1093/acprof:oso/9780195372731.001.0001

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Fusion of EEG and fMRI by Parallel Group ICA

Fusion of EEG and fMRI by Parallel Group ICA

Chapter:
(p.161) 3.4 Fusion of EEG and fMRI by Parallel Group ICA
Source:
Simultaneous EEG and fMRI
Author(s):

Vince D. Calhoun

Tom Eichele

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195372731.003.0011

Independent component analysis (ICA) is increasingly utilized as a tool for evaluating the hidden spatiotemporal structure contained within brain imaging data. This chapter first provides a brief overview of ICA and how ICA is applied to functional magnetic resonance imaging (fMRI) data. It then discusses group ICA and the application of group ICA for data fusion, with an emphasis on the methods developed within our group. It also discusses, within a larger context, the many alternative approaches that are feasible and currently in use.

Keywords:   electroencephalography, functional magnetic resonance, fMRI, independent component analysis

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