On the relationship between seed-based and ICA-based measures of functional connectivity.

TitleOn the relationship between seed-based and ICA-based measures of functional connectivity.
Publication TypeJournal Article
Year of Publication2011
AuthorsJoel SE, Caffo BS, van Zijl PCM, Pekar JJ
JournalMagnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine
Volume66
Issue3
Pagination644-57
Date Published2011 Sep
Abstract

Brain functional connectivity (FC) refers to inter-regional synchrony of low frequency fluctuations in blood oxygenation level dependent functional magnetic resonance imaging. FC has been evaluated both during task performance and in the "resting" state, yielding reports of FC differences correlated with behavior and diagnosis. Two methodologies are widely used for evaluating FC from blood oxygenation level dependent functional magnetic resonance imaging data: Temporal correlation with a specified seed voxel or small region of interest; and spatial independent component analysis. While results from seed-based and independent component analysis methodologies are generally similar, they are conceptually different. This study is intended to elucidate and illustrate, qualitatively and quantitatively, the relationship between seed and independent component analysis derived measures of FC. Seed-based FC measures are shown to be the sum of independent component analysis-derived within network connectivities and between network connectivities. We present a simple simulation and an experiment on visuomotor activity that highlight this relationship between the two methods.

DOI10.1016/j.spen.2011.06.009
Alternate JournalMagn Reson Med