Fusion of EEG and fMRI by Parallel Group ICA

Vince D. Calhoun, Tom Eichele

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish (US)
Title of host publicationSimultaneous EEG and fMRI
Subtitle of host publicationRecording, Analysis, and Application
PublisherOxford University Press
Volume9780195372731
ISBN (Electronic)9780199776283
ISBN (Print)9780195372731
DOIs
StatePublished - May 1 2010
Externally publishedYes

Keywords

  • Electroencephalography
  • Functional magnetic resonance
  • Independent component analysis
  • fMRI

ASJC Scopus subject areas

  • Neuroscience(all)

Fingerprint Dive into the research topics of 'Fusion of EEG and fMRI by Parallel Group ICA'. Together they form a unique fingerprint.

Cite this