Literature DB >> 34296194

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

Matthew Masapollo1,2, Jennifer A Segawa1,3, Deryk S Beal1,4, Jason A Tourville1, Alfonso Nieto-Castañón1, Matthias Heyne1, Saul A Frankford1, Frank H Guenther1,5,6.   

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.

Entities:  

Keywords:  GODIVA model; fMRI; motor sequence learning; speech motor control; stuttering

Year:  2021        PMID: 34296194      PMCID: PMC8294667          DOI: 10.1162/nol_a_00027

Source DB:  PubMed          Journal:  Neurobiol Lang (Camb)        ISSN: 2641-4368


  75 in total

1.  Consolidation during sleep of perceptual learning of spoken language.

Authors:  Kimberly M Fenn; Howard C Nusbaum; Daniel Margoliash
Journal:  Nature       Date:  2003-10-09       Impact factor: 49.962

Review 2.  Computational neuroanatomy of speech production.

Authors:  Gregory Hickok
Journal:  Nat Rev Neurosci       Date:  2012-01-05       Impact factor: 34.870

3.  Cortical speech processing unplugged: a timely subcortico-cortical framework.

Authors:  Sonja A Kotz; Michael Schwartze
Journal:  Trends Cogn Sci       Date:  2010-07-23       Impact factor: 20.229

4.  What we know about what we have never heard: evidence from perceptual illusions.

Authors:  Iris Berent; Donca Steriade; Tracy Lennertz; Vered Vaknin
Journal:  Cognition       Date:  2006-08-24

Review 5.  Cerebellar contributions to speech production and speech perception: psycholinguistic and neurobiological perspectives.

Authors:  Hermann Ackermann
Journal:  Trends Neurosci       Date:  2008-05-09       Impact factor: 13.837

6.  Stuttering as a trait or state - an ALE meta-analysis of neuroimaging studies.

Authors:  Michel Belyk; Shelly Jo Kraft; Steven Brown
Journal:  Eur J Neurosci       Date:  2014-10-28       Impact factor: 3.386

7.  Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI.

Authors:  M C Keuken; P-L Bazin; L Crown; J Hootsmans; A Laufer; C Müller-Axt; R Sier; E J van der Putten; A Schäfer; R Turner; B U Forstmann
Journal:  Neuroimage       Date:  2014-03-17       Impact factor: 6.556

8.  Consolidating the effects of waking and sleep on motor-sequence learning.

Authors:  Timothy P Brawn; Kimberly M Fenn; Howard C Nusbaum; Daniel Margoliash
Journal:  J Neurosci       Date:  2010-10-20       Impact factor: 6.167

9.  Computational modeling of stuttering caused by impairments in a basal ganglia thalamo-cortical circuit involved in syllable selection and initiation.

Authors:  Oren Civier; Daniel Bullock; Ludo Max; Frank H Guenther
Journal:  Brain Lang       Date:  2013-07-19       Impact factor: 2.381

10.  Serial reaction time learning and Parkinson's disease: evidence for a procedural learning deficit.

Authors:  G M Jackson; S R Jackson; J Harrison; L Henderson; C Kennard
Journal:  Neuropsychologia       Date:  1995-05       Impact factor: 3.139

View more
  1 in total

Review 1.  The Dopamine System and Automatization of Movement Sequences: A Review With Relevance for Speech and Stuttering.

Authors:  Per A Alm
Journal:  Front Hum Neurosci       Date:  2021-12-02       Impact factor: 3.169

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.