Assessment of dynamic functional connectivity in resting-state fMRI using the sliding window technique.

ABSTRACT:

Introduction

Recent studies related to assessing functional connectivity (FC) in resting-state functional magnetic resonance imaging have revealed that the resulting connectivity patterns exhibit considerable fluctuations (dynamic FC [dFC]). A widely applied method for quantifying dFC is the sliding window technique. According to this method, the data are divided into segments with the same length (window size) and a correlation metric is employed to assess the connectivity within these segments, whereby the window size is often empirically chosen.

Methods

In this study, we rigorously investigate the assessment of dFC using the sliding window approach. Specifically, we perform a detailed comparison between different correlation metrics, including Pearson, Spearman and Kendal

SUBMITTER: Savva AD 

PROVIDER: S-EPMC6456784 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature