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

Citation data:

Journal of fluency disorders, ISSN: 1873-801X, Vol: 55, Page: 46-67

Publication Year:
2018
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PMID:
28214015
DOI:
10.1016/j.jfludis.2017.01.002
Author(s):
Chang, Soo-Eun; Angstadt, Michael; Chow, Ho Ming; Etchell, Andrew C; Garnett, Emily O; Choo, Ai Leen; Kessler, Daniel; Welsh, Robert C; Sripada, Chandra
Publisher(s):
Elsevier BV
Tags:
Psychology; Arts and Humanities; Social Sciences; Neuroscience; Health Professions; Nursing
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article description
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.