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Using ICA for the Analysis of fMRI Data

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

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

Published in print:
2010
Published Online:
May 2010
ISBN:
9780195372731
eISBN:
9780199776283
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195372731.003.0009
Subject:
Neuroscience, Techniques

This chapter examines the most relevant aspects concerning the use of independent component analysis (ICA) for the analysis of functional magnetic resonance imaging (fMRI) data. In particular, after ... More


Fusion of EEG and fMRI by Parallel Group ICA

Vince D. Calhoun and Tom Eichele

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

Published in print:
2010
Published Online:
May 2010
ISBN:
9780195372731
eISBN:
9780199776283
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195372731.003.0011
Subject:
Neuroscience, Techniques

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 ... More


Parallel EEG-fMRI ICA Decomposition

Tom Eichele and Vince D. Calhoun

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

Published in print:
2010
Published Online:
May 2010
ISBN:
9780195372731
eISBN:
9780199776283
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195372731.003.0012
Subject:
Neuroscience, Techniques

This chapter introduces and applies the concept of parallel spatial and temporal unmixing with group independent component analysis (ICA) for concurrent electroencephalography-functional magnetic ... More


Using ICA for the Analysis of Multi-Channel EEG Data

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

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

Published in print:
2010
Published Online:
May 2010
ISBN:
9780195372731
eISBN:
9780199776283
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195372731.003.0008
Subject:
Neuroscience, Techniques

Independent component analysis (ICA) is a linear decomposition technique that aims to reveal the underlying statistical sources of mixed signals. The EEG signal consists of a mixture of various brain ... More


EEG-Informed fMRI Analysis

Markus Ullsperger

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

Published in print:
2010
Published Online:
May 2010
ISBN:
9780195372731
eISBN:
9780199776283
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195372731.003.0010
Subject:
Neuroscience, Techniques

This chapter gives an overview of data integration methods for simultaneous EEG-fMRI, in which EEG features are extracted and used to parametrically model the fMRI data. Up to now, variants of ... More


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