Evidence map›Paper›PMID 28214015›Full record

ArticleJournal of fluency disorders2018

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

Soo-Eun Chang, Michael Angstadt, Ho Ming Chow, Andrew C Etchell, Emily O Garnett, Ai Leen Choo, Daniel Kessler, Robert C Welsh, Chandra Sripada

Abstract read
In one paragraph

Article in Journal of fluency disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
11.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Neural subtypes in developmental stuttering.bioRxiv : the preprint server for biology · 2026
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  4. Review
  5. The Significance of a Higher Prevalence of ADHD and ADHD Symptoms in Children Who Stutter.Journal of speech, language, and hearing research : JSLHR · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Soo-Eun ChangDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States. Electronic address: sooeunc@med.umich.edu.
Michael AngstadtDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Ho Ming ChowDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Andrew C EtchellDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Emily O GarnettDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Ai Leen ChooDepartment of Communicative Sciences and Disorders, California State University East Bay, Hayward, CA, United States.
Daniel KesslerDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Robert C WelshDepartment of Psychiatry, University of Utah, Salt Lake City, UT, United States.
Chandra SripadaDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
University of Michigan–Ann Arbor · USCalifornia State University, East Bay · USUniversity of Utah · US

Funding

Sexual dimorphism of neural development underlying childhood stutteringR01DC011277 · NIDCD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Soo-Eun Chang · 2010 to 2026
$8.2M
Impulsivity as Immaturity: Mapping Dysmaturation of the Brain's Control Architecture in Youth Externalizing PsychopathologyR01MH107741 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SRIPADA, CHANDRA SEKHAR · 2015 to 2019
$2.3M
Pharmacological Dissociation of Control Circuits in ADHD and Alcohol DependenceK23AA020297 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SRIPADA, CHANDRA SEKHAR · 2012 to 2016
$893k
NIAAA NIH HHS K23 AA020297NIDCD NIH HHS R01 DC011277NIMH NIH HHS R01 MH107741
6 · The paper itself

Abstract

purposeWe 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.

methodsA 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 scores were compared between stuttering and control groups' first scans. In a second analysis, we examined whether the components that were most predictive of stuttering status also predicted persistence in stuttering.

resultsStuttering status, as well as stuttering persistence, were associated with aberrant network connectivity involving the default mode network and its connectivity with attention, somatomotor, and frontoparietal networks. The results suggest developmental alterations in the balance of integration and segregation of large-scale neural networks that support proficient task performance including fluent speech motor control.

conclusionsThis study supports the view that stuttering is a complex neurodevelopmental disorder and provides comprehensive brain network maps that substantiate past theories emphasizing the importance of considering situational, emotional, attentional and linguistic factors in explaining the basis for stuttering onset, persistence, and recovery.

Indexed as

Brain MappingBrainCase-Control StudiesChildFemaleHumansLinguisticsMagnetic Resonance ImagingMaleStutteringDefault mode networkIndependent component analysis (ICA)Intrinsic connectivity networksResting state fMRIStuttering

Identifiers

PMID28214015
PMCPMC5526749
OpenAlexW2582213403

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.