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A comparison of structural morphometry in children and adults with persistent developmental stuttering.
Miller, Hilary E; Garnett, Emily O; Heller Murray, Elizabeth S; Nieto-Castañón, Alfonso; Tourville, Jason A; Chang, Soo-Eun; Guenther, Frank H.
Afiliação
  • Miller HE; Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA.
  • Garnett EO; Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
  • Heller Murray ES; Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA.
  • Nieto-Castañón A; Department of Communication Sciences & Disorders, Temple University, Philadelphia, PA 19122, USA.
  • Tourville JA; Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA.
  • Chang SE; Department of Speech, Language, & Hearing Sciences, Boston University, Boston, MA 02215, USA.
  • Guenther FH; Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
Brain Commun ; 5(6): fcad301, 2023.
Article em En | MEDLINE | ID: mdl-38025273
ABSTRACT
This cross-sectional study aimed to differentiate earlier occurring neuroanatomical differences that may reflect core deficits in stuttering versus changes associated with a longer duration of stuttering by analysing structural morphometry in a large sample of children and adults who stutter and age-matched controls. Whole-brain T1-weighted structural scans were obtained from 166 individuals who stutter (74 children, 92 adults; ages 3-58) and 191 controls (92 children, 99 adults; ages 3-53) from eight prior studies in our laboratories. Mean size and gyrification measures were extracted using FreeSurfer software for each cortical region of interest. FreeSurfer software was also used to generate subcortical volumes for regions in the automatic subcortical segmentation. For cortical analyses, separate ANOVA analyses of size (surface area, cortical thickness) and gyrification (local gyrification index) measures were conducted to test for a main effect of diagnosis (stuttering, control) and the interaction of diagnosis-group with age-group (children, adults) across cortical regions. Cortical analyses were first conducted across a set of regions that comprise the speech network and then in a second whole-brain analysis. Next, separate ANOVA analyses of volume were conducted across subcortical regions in each hemisphere. False discovery rate corrections were applied for all analyses. Additionally, we tested for correlations between structural morphometry and stuttering severity. Analyses revealed thinner cortex in children who stutter compared with controls in several key speech-planning regions, with significant correlations between cortical thickness and stuttering severity. These differences in cortical size were not present in adults who stutter, who instead showed reduced gyrification in the right inferior frontal gyrus. Findings suggest that early cortical anomalies in key speech planning regions may be associated with stuttering onset. Persistent stuttering into adulthood may result from network-level dysfunction instead of focal differences in cortical morphometry. Adults who stutter may also have a more heterogeneous neural presentation than children who stutter due to their unique lived experiences.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Brain Commun Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Brain Commun Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos