Anomalous network architecture of the resting brain in children who stutter.

ABSTRACT:

Purpose

We combined a large longitudinal neuroimaging dataset that includes children who do and do not stutter and a whole-brain network analysis in order to examine the intra- and inter-network connectivity changes associated with stuttering. Additionally, we asked whether whole brain connectivity patterns observed at the initial year of scanning could predict persistent stuttering in later years.

Methods

A total of 224 high-quality resting state fMRI scans collected from 84 children (42 stuttering, 42 controls) were entered into an independent component analysis (ICA), yielding a number of distinct network connectivity maps ("components") as well as expression scores for each component that quantified the degree to which it is expressed for each child. These expression sco

SUBMITTER: Chang SE 

PROVIDER: S-EPMC5526749 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature