Parametric Dependencies of Sliding Window Correlation.

ABSTRACT:

Objective

In this paper, we explore the dependence of sliding window correlation (SWC) results on different parameters of correlating signals. The SWC is extensively used to explore the dynamics of functional connectivity (FC) networks using resting-state functional MRI (rsfMRI) scans. These scanned signals often contain multiple amplitudes, frequencies, and phases. However, the exact values of these parameters are unknown. Two recent studies explored the relationship of window length and frequencies (minimum/maximum) in the correlating signals.

Methods

We extend the findings of these studies by using two deterministic signals with multiple amplitudes, frequencies, and phases. Afterward, we modulate one of the signals to introduce dynamics (nonstationarity) in their relation

SUBMITTER: Shakil S 

PROVIDER: S-EPMC6538081 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature