JSM 2011 Online Program

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Abstract Details

Activity Number: 405
Type: Contributed
Date/Time: Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #301477
Title: Determining State-Related Changes in Brain Connectivity
Author(s): Ivor Cribben*+ and Ragnheidur Helga Haraldsdottir and Tor D. Wager and Martin A. Lindquist
Companies: Columbia University and Columbia University and University of Colorado and Columbia University
Address: 1255 Amsterdam Avenue, New York, NY, 10027,
Keywords: fMRI ; Graph Valued Regression ; State-related changes
Abstract:

Most statistical analyses of fMRI data assume that the nature, timing and duration of the psychological processes are known. However, many times it is hard to specify this information a priori. In this work we apply an extension of graph valued regression (Liu, Chen, Lafferty and Wasserman (2010)), a data-driven technique for partitioning the experimental time course into distinct intervals depending on the underlying functional connectivity between certain regions of interest, to describe the changes in brain connectivity that result from a state anxiety induction. The technique builds a tree on the covariate space (time) just as in CART (classification and regression trees), but at each node of the tree estimates a graph, or series of relationships between brain regions. Permutation and bootstrapping methods are performed in order to create meaningful and useful inference procedures. The method is applied to simulated data, as well as, to an fMRI study (n=26) of a state anxiety induction using a social evaluative threat challenge. The results illustrate the methods ability to observe how the networks between different brain regions changed with the subject's emotional state.


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