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Ranking fMRI time courses by minimum spanning trees: assessing coactivation in fMRI.

Abstract：

:In fMRI, time courses with similar temporal "activation" patterns may belong to different brain regions (i.e., these regions are functionally connected, coactivated). A group of time courses (TCs) corresponding to a particular type of temporal activation pattern should be maximally self-consistent (homogeneous). We demonstrate that ordering a group of multidimensional fMRI time courses by a minimum spanning tree (MST) may be used to investigate the temporal homogeneity of a group of TCs. We show the utility of MST ranking for data-driven analysis methods in investigating coactivation in fMRI. MST ranking is equally useful for hypothesis-led methods. Furthermore, MST ranking enables pairwise comparisons of groups/clusters (i.e., any collection of TCs, no matter how derived) of fMRI time courses.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Baumgartner R,Somorjai R,Summers R,Richter W

doi

10.1006/nimg.2000.0729

keywords:

subject

Has Abstract

pub_date

2001-04-01 00:00:00

pages

734-42

issue

4

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(00)90729-8

journal_volume

13

pub_type

杂志文章

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