An imbalance between functional segregation and integration in patients with pontine stroke: A dynamic functional network connectivity study.

ABSTRACT:

Background

Previous studies on brain functional connectivity have revealed the neural physiopathology in patients with pontine stroke (PS). However, those studies focused only on the static features of intrinsic fluctuations, rather than on the time-varying effects throughout the entire scan. In the present study, we sought to explore the underlying mechanism of PS using the dynamic functional network connectivity (dFNC) method.

Methods

Resting-state functional magnetic resonance imaging (fMRI) data were collected from 58 patients with PS and 52 healthy controls (HC). Independent component analysis (ICA), the sliding window method, and k-means clustering analysis were performed to extract different functional networks, to calculate dFNC matrices, and to estimate distinct dyn

SUBMITTER: Wang Y 

PROVIDER: S-EPMC7714678 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature