Meeting Banner
Abstract #2413

Optimal Time-Dependent Window-Size Reveals a More Accurate Picture of Dynamic Functional Connectivity

Xiaowei Zhuang1, Zhengshi Yang1, Brent Bluett1, Sarah Banks1, and Dietmar Cordes1,2

1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Colorado, Boulder, CO, United States

We have introduced a new method to determine the optimal time-dependent window-size for calculating sliding-window correlations between two non-stationary time series. The time-dependent window-size is calculated from the local information of intrinsic mode functions of each time series computed using empirical mode decomposition. Results from simulation demonstrate that the running-correlation computed with a time-dependent window-size is able to capture local transients without creating unstable fluctuations. By incorporating the optimal window-size in a whole-brain dynamic functional connectivity analysis, we are able to view differences in whole-brain temporal dynamics between normal control subjects and PD subjects more precisely.

This abstract and the presentation materials are available to members only; a login is required.

Join Here