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Abstract #0418

Exploring Temporal Dynamics in Resting-State Networks using Co-Activation Pattern Analysis

Xiaowei Zhuang1, Ryan R Walsh (co-first)2, Karthik Sreenivasan1, Zhengshi Yang1, Virendra Mishra1, and Dietmar Cordes1,3

1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2Barrow Neurological Institute, Phoenix, AZ, United States, 3University of Colorado, Boulder, CO, United States

We propose a novel group CAP analysis method to investigate temporal dynamics of specific resting-state networks. Our data-driven method computes less spatially overlapping d-CAPs for each group. We compare network-dynamics between different populations using d-CAP based measurements. Using simulation, we demonstrate that the proposed method is able to determine spatially less overlapping d-CAPs for each group accurately. Using real fMRI data, we find reduced network-dynamics of most networks in PD subjects as hypothesized, which corroborates and expands upon previous electrophysiologic reports.

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