Evidence map›Paper›PMID 33719533›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2021

Association Between Gray Matter Volume Variations and Energy Utilization in the Brain: Implications for Developmental Stuttering.

Nathaniel Boley, Sanath Patil, Emily O Garnett, Hua Li, Diane C Chugani, Soo-Eun Chang, Ho Ming Chow

Open access · greenAbstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. An active inference account of stuttering behavior.Frontiers in human neuroscience · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Stuttering: A Disorder of Energy Supply to Neurons?Frontiers in human neuroscience · 2021
    Article
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

7 authors at 1 institution in 1 country.

Nathaniel BoleyThe Institute for Biomedical Sciences, School of Medicine and Health Sciences, The George Washington University, Washington, DC.
Sanath PatilKatzin Diagnostic & Research PET/MRI Center, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE.
Emily O GarnettDepartment of Psychiatry, University of Michigan Medical School, Ann Arbor.
Hua LiKatzin Diagnostic & Research PET/MRI Center, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE.
Diane C ChuganiDepartment of Communication Sciences and Disorders, College of Health Sciences, University of Delaware, Newark.
Soo-Eun ChangDepartment of Psychiatry, University of Michigan Medical School, Ann Arbor.
Ho Ming ChowKatzin Diagnostic & Research PET/MRI Center, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE.
Google (United States) · 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
Neural Markers of Persistence and Recovery from Childhood Stuttering: An fMRI Study of Continuous Speech ProductionR21DC015853 · NIDCD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHOW, HO MING · 2016 to 2018
$454k
NIDCD NIH HHS R01 DC011277NIDCD NIH HHS R21 DC015853
6 · The paper itself

Abstract

Purpose The biological mechanisms underlying developmental stuttering remain unclear. In a previous investigation, we showed that there is significant spatial correspondence between regional gray matter structural anomalies and the expression of genes linked to energy metabolism. In the current study, we sought to further examine the relationship between structural anomalies in the brain in children with persistent stuttering and brain regional energy metabolism. Method High-resolution structural MRI scans were acquired from 26 persistent stuttering and 44 typically developing children. Voxel-based morphometry was used to quantify the between-group gray matter volume (GMV) differences across the whole brain. Group differences in GMV were then compared with published values for the pattern of glucose metabolism measured via F

Indexed as

StutteringBrainCerebral CortexChildGray MatterHumansMagnetic Resonance ImagingSpeech

Identifiers

PMID33719533
PMCPMC8740693
OpenAlexW3134102141

What OpenQuestion holds

Textmetadata
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.