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Abstract #3962

Improved Between-group Effect Size via Multisite Functional Connectivity Normalization

Alexandra Reardon1,2, Kaiming Li1,2, Jason Langley2, and Xiaoping Hu1,2
1Bioengineering, University of California, Riverside, Riverside, CA, United States, 2Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, United States

Multisite databases allow for increased statistical power and enhanced reproducibility, however data pooled across sites are often acquired with different scanners and/or protocols, leading to significant site-dependent variances and thereby reduced effects in group analyses. We quantified the functional connectivity variance associated with the Autism Brain Imaging Data Exchange, a multisite resting state functional MRI database, and demonstrate how normalization functional connectivity results led to increased effect size when measuring established functional connectivity changes in autistic subjects as compared to healthy controls.

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