Evidence map›Paper›PMID 34296194›Full record

ArticleNeurobiology of language (Cambridge, Mass.)2021

Behavioral and neural correlates of speech motor sequence learning in stuttering and neurotypical speakers: an fMRI investigation.

Matthew Masapollo, Jennifer A Segawa, Deryk S Beal, Jason A Tourville, Alfonso Nieto-Castañón, Matthias Heyne, Saul A Frankford, Frank H Guenther

Open access · goldAbstract read
In one paragraph

Article in Neurobiology of language (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Sensory basis of speech motor learning and memory.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
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  9. Article
  10. Review
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  12. Factors Affecting Nonnative Consonant Cluster Learning.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
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  14. Article
  15. Review
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

8 authors at 1 institution in 2 countries.

Matthew MasapolloDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, MA.
Jennifer A SegawaDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, MA.
Deryk S BealDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, MA.
Jason A TourvilleDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, MA.
Alfonso Nieto-CastañónDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, MA.
Matthias HeyneDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, MA.
Saul A FrankfordDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, MA.
Frank H GuentherDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, MA.
Boston University · US

Funding

Sequencing and Initiation in Speech ProductionR01DC007683 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FRANK H GUENTHER · 2006 to 2026
$9.0M
NIDCD NIH HHS R01 DC007683
6 · The paper itself

Abstract

Stuttering is a neurodevelopmental disorder characterized by impaired production of coordinated articulatory movements needed for fluent speech. It is currently unknown whether these abnormal production characteristics reflect disruptions to brain mechanisms underlying the acquisition and/or execution of speech motor sequences. To dissociate learning and control processes, we used a motor sequence learning paradigm to examine the behavioral and neural correlates of learning to produce novel phoneme sequences in adults who stutter (AWS) and neurotypical controls. Participants intensively practiced producing pseudowords containing non-native consonant clusters (e.g., "gvasf") over two days. The behavioral results indicated that although the two experimental groups showed comparable learning trajectories, AWS performed significantly worse on the task prior to and after speech motor practice. Using functional magnetic resonance imaging (fMRI), the authors compared brain activity during articulation of the practiced words and a set of novel pseudowords (matched in phonetic complexity). FMRI analyses revealed no differences between AWS and controls in cortical or subcortical regions; both groups showed comparable increases in activation in left-lateralized brain areas implicated in phonological working memory and speech motor planning during production of the novel sequences compared to the practiced sequences. Moreover, activation in left-lateralized basal ganglia sites was negatively correlated with in-scanner mean disfluency in AWS. Collectively, these findings demonstrate that AWS exhibit no deficit in constructing new speech motor sequences but do show impaired execution of these sequences before and after they have been acquired and consolidated.

Indexed as

fMRIGODIVA modelmotor sequence learningspeech motor controlstuttering

Identifiers

PMID34296194
PMCPMC8294667
OpenAlexW3106632447

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.