Evidence map›Paper›PMID 41366010›Full record

ArticleScientific reports2025

Differential contribution of working memory to auditory rhythm discrimination in stuttering and nonstuttering adults.

Emily O Garnett, Toni Smith, Bailey Rann, Nicholas Mularoni, Soo-Eun Chang, J Devin McAuley

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Distinct Rhythmic Competencies Identified via Internet-Based Assessment.Annals of the New York Academy of Sciences · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Emily O GarnettUniversity of Michigan, Rachel Upjohn Building, 4250 Plymouth Rd., Ann Arbor, MI, 48109, USA. emilyog@med.umich.edu.
Toni SmithMichigan State University, 619 Red Cedar Rd, East Lansing, MI, 48864, USA.
Bailey RannMichigan State University, 619 Red Cedar Rd, East Lansing, MI, 48864, USA.
Nicholas MularoniUniversity of Michigan, Rachel Upjohn Building, 4250 Plymouth Rd., Ann Arbor, MI, 48109, USA.
Soo-Eun ChangUniversity of Michigan, Rachel Upjohn Building, 4250 Plymouth Rd., Ann Arbor, MI, 48109, USA.
J Devin McAuleyMichigan State University, 619 Red Cedar Rd, East Lansing, MI, 48864, USA.

Funding

Michigan Institute for Clinical and Health Research (MICHR)UM1TR004404 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Julie C Lumeng · 2023 to 2026
$39.8M
Sexual dimorphism of neural development underlying childhood stutteringR01DC011277 · NIDCD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Soo-Eun Chang · 2010 to 2026
$8.2M
Spontaneous synchronization to speech as a window into auditory motor integration in stutteringR21DC019429 · NIDCD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARNETT, EMILY O'DELL · 2021 to 2023
$473k
Michigan State University program for Research in Autism, Intellectual and Neurodevelopmental DisabilitiesMichigan State University Radiology Pilot Scan ProgramNCATS NIH HHS NCATS UM1TR004404NCATS NIH HHS UM1 TR004404NIDCD NIH HHS R01 DC011277NIDCD NIH HHS R01DC011277NIDCD NIH HHS R21 DC019429NIDCD NIH HHS R21DC019429
6 · The paper itself

Abstract

Stuttering is a neurodevelopmental condition characterized by involuntary disruptions in the rhythmic flow of speech. Children who stutter also exhibit poorer auditory rhythm discrimination compared to peers who do not stutter, especially for complex rhythms without a consistently marked beat, suggesting a potential link between stuttering and non-speech rhythm perception. For adults who stutter (AWS), however, data supporting a link between stuttering and poorer auditory rhythm discrimination has been less conclusive. One possible reason may be that AWS have developed strategies for rhythm discrimination that leverage a distinct timing mechanism compared to non-stuttering adults. Consistent with this possibility, there is a well-established theoretical distinction in the timing literature between an automatic beat-based timing mechanism and a more controlled interval-based timing mechanism where a key element of the latter is a working memory component. From this perspective, one hypothesis is if AWS have a deficit in beat-based timing they may leverage the controlled interval-based timing mechanism to make rhythm discrimination judgments. If so, then interval-by-interval comparisons associated with interval-based timing would be expected to place a greater burden on working memory compared to automatic beat-based timing, which in contrast does not have a working memory component. To investigate this hypothesis, we combined data from three studies where AWS and age-matched controls performed the same rhythm discrimination and working memory tasks. Across studies, AWS, as hypothesized, showed a significantly stronger positive correlation between working memory and rhythm discrimination than controls where there were no (or very weak) correlations. Moreover, separate group comparison of rhythm discrimination performance for AWS with high and low working memory scores reveals no difference between controls and AWS with high working memory capacity, but much poorer performance by AWS with low working memory capacity. These results support the view that AWS may mask difficulties in rhythm perception associated with an underlying impairment in beat-based timing by engaging a distinct working memory dependent interval timing mechanism to discriminate rhythms.

Indexed as

Auditory PerceptionDiscrimination, PsychologicalMemory, Short-TermStutteringAcoustic StimulationAdolescentAdultFemaleHumansMaleSpeech PerceptionTime PerceptionYoung AdultBasal GangliaFluencyRhythmSpeechTiming

Identifiers

PMID41366010
PMCPMC12804763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.