Spatial and temporal reproducibility-based ranking of the independent components of BOLD fMRI data.

TitleSpatial and temporal reproducibility-based ranking of the independent components of BOLD fMRI data.
Publication TypeJournal Article
Year of Publication2009
AuthorsZeng W, Qiu A, Chodkowski B, Pekar JJ
JournalNeuroImage
Volume46
Issue4
Pagination1041-54
Date Published2009 Jul 15
Abstract

Independent component analysis (ICA) decomposes fMRI data into spatially independent maps and their corresponding time courses. However, distinguishing the neurobiologically and biophysically reasonable components from those representing noise and artifacts is not trivial. We present a simple method for the ranking of independent components, by assessing the resemblance between components estimated from all the data, and components estimated from only the odd- (or even-) numbered time points. We show that the meaningful independent components of fMRI data resemble independent components estimated from downsampled data, and thus tend to be highly ranked by the method.

DOI10.1177/0883073808329529
Alternate JournalNeuroimage