Localization of brain activity — blind separation for fMRI data

Silke Dodel, J.Michael Herrmann, Theo Geisel

Research output: Contribution to journalArticlepeer-review

Abstract

Functional Magnetic Resonance Imaging (fMRI) is a promising method to determine noninvasively the spatial distribution of brain activity under a given paradigm, e.g. in response to certain stimuli. In the context of a motor task experiment we discuss methods for analyzing fMRI data based on principal and independent component analysis with respect to their capabilities of separating noise sources from functional activity.
Original languageEnglish
Pages (from-to)701-708
Number of pages8
JournalNeurocomputing
Volume32–33
DOIs
Publication statusPublished - Jun 2000

Keywords

  • Functional magnetic resonance imaging (fMRI)
  • Principal component analysis (PCA)
  • Independent component analysis (ICA)

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