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Abstract #3456

Standard Space and Individually-Derived Regions of Interest: An Experimental Comparison

Joanna Lynn Hutchison1,2, Traci Sandoval1, G. Andrew J. Hillis1, Ehsan Shokri Kojori1, M. Amanda E. Colby1, Michael A. Motes1, Mary Jo Maciejewski1,2, Bart Rypma1,2

1BrainHealth, University of Texas at Dallas, Dallas, TX, United States; 2Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, United States


Using a standard space brain-template is an efficient way of determining anatomical ROIs for functional data analyses. Although individually-derived ROIs would be preferable, such ROIs are time-intensive to acquire. The present analysis examined whether or not Colin-derived and individually-derived anatomically-based ROI methods differed significantly from one another in terms of both the number of voxels and beta values contained within a Brodmann-area (BA) ROI. Results suggest that utilizing standard-space normalization/ROI boundary determination can affect the outcome of statistical analyses in terms of numbers of voxels and beta values. Caution should be exercised when using standard-space BA ROIs for PFC.

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