Unknown

Dataset Information

Comparison of Resting-State Functional MRI Methods for Characterizing Brain Dynamics.


ABSTRACT: Resting-state functional MRI (fMRI) exhibits time-varying patterns of functional connectivity. Several different analysis approaches have been developed for examining these resting-state dynamics including sliding window connectivity (SWC), phase synchrony (PS), co-activation pattern (CAP), and quasi-periodic patterns (QPP). Each of these approaches can be used to generate patterns of activity or inter-areal coordination which vary across time. The individual frames can then be clustered to produce temporal groupings commonly referred to as "brain states." Several recent publications have investigated brain state alterations in clinical populations, typically using a single method for quantifying frame-wise functional connectivity. This study directly compares the results of k-means cluste

SUBMITTER: Maltbie E 

PROVIDER: S-EPMC9013751 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature