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Activity Number: 123
Type: Contributed
Date/Time: Monday, August 4, 2014 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Imaging
Abstract #312410
Title: Statistical Tests for Group Differences in Brain Functional Networks
Author(s): Junghi Kim*+ and Wei Pan
Companies: and University of Minnesota
Keywords: brain network connectivity ; fMRI ; graph model ; group difference ; high dimensional data ; nueroimaging
Abstract:

Brain functional connectivity has been studied by analyzing time series correlations in regional brain activities based on fMRI data. Brain functional connectivity can be depicted as a network or graph defined as a set of nodes linked by edges. Nodes represent brain regions and an edge represents a pairwise correlation between two regions. Most of existing work focuses on inference of such a network for each subject. A key but inadequately addressed question is how to test possible differences of the brain functional networks between two subject groups, say between healthy controls and patients. Here we introduce and compare the performance of several state-of-the-art statistical tests drawn from various fields, such as genetics, ecology and high-dimensional data in addition to the neuroimaging literature. Both a real data set and simulated data are used.


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