TY - JOUR
T1 - Analysis of Group ICA-Based Connectivity Measures from fMRI
T2 - Application to Alzheimer's Disease
AU - Li, Shanshan
AU - Eloyan, Ani
AU - Joel, Suresh
AU - Mostofsky, Stewart
AU - Pekar, James
AU - Bassett, Susan Spear
AU - Caffo, Brian
PY - 2012/11/30
Y1 - 2012/11/30
N2 - Functional magnetic resonance imaging (fMRI) is a powerful tool for the in vivo study of the pathophysiology of brain disorders and disease. In this manuscript, we propose an analysis stream for fMRI functional connectivity data and apply it to a novel study of Alzheimer's disease. In the first stage, spatial independent component analysis is applied to group fMRI data to obtain common brain networks (spatial maps) and subject-specific mixing matrices (time courses). In the second stage, functional principal component analysis is utilized to decompose the mixing matrices into population-level eigenvectors and subject-specific loadings. Inference is performed using permutation-based exact logistic regression for matched pairs data. The method is applied to a novel fMRI study of Alzheimer's disease risk under a verbal paired associates task. We found empirical evidence of alternative ICA-based metrics of connectivity when comparing subjects evidencing mild cognitive impairment relative to carefully matched controls.
AB - Functional magnetic resonance imaging (fMRI) is a powerful tool for the in vivo study of the pathophysiology of brain disorders and disease. In this manuscript, we propose an analysis stream for fMRI functional connectivity data and apply it to a novel study of Alzheimer's disease. In the first stage, spatial independent component analysis is applied to group fMRI data to obtain common brain networks (spatial maps) and subject-specific mixing matrices (time courses). In the second stage, functional principal component analysis is utilized to decompose the mixing matrices into population-level eigenvectors and subject-specific loadings. Inference is performed using permutation-based exact logistic regression for matched pairs data. The method is applied to a novel fMRI study of Alzheimer's disease risk under a verbal paired associates task. We found empirical evidence of alternative ICA-based metrics of connectivity when comparing subjects evidencing mild cognitive impairment relative to carefully matched controls.
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U2 - 10.1371/journal.pone.0049340
DO - 10.1371/journal.pone.0049340
M3 - Article
C2 - 23226208
AN - SCOPUS:84870657126
SN - 1932-6203
VL - 7
JO - PloS one
JF - PloS one
IS - 11
M1 - e49340
ER -