Language exposure during infancy is negatively associated with white matter microstructure in the arcuate fasciculus.

Arcuate fasciculus Diffusion tensor imaging Home language environment Infancy Language development

Journal

Developmental cognitive neuroscience
ISSN: 1878-9307
Titre abrégé: Dev Cogn Neurosci
Pays: Netherlands
ID NLM: 101541838

Informations de publication

Date de publication:
06 2023
Historique:
received: 30 10 2022
revised: 04 04 2023
accepted: 04 04 2023
medline: 19 6 2023
pubmed: 16 4 2023
entrez: 15 4 2023
Statut: ppublish

Résumé

Decades of research have established that the home language environment, especially quality of caregiver speech, supports language acquisition during infancy. However, the neural mechanisms behind this phenomenon remain under studied. In the current study, we examined associations between the home language environment and structural coherence of white matter tracts in 52 typically developing infants from English speaking homes in a western society. Infants participated in at least one MRI brain scan when they were 3, 6, 12, and/or 24 months old. Home language recordings were collected when infants were 9 and/or 15 months old. General linear regression models indicated that infants who heard the most adult words and participated in the most conversational turns at 9 months of age also had the lowest fractional anisotropy in the left posterior parieto-temporal arcuate fasciculus at 24 months. Similarly, infants who vocalized the most at 9 months also had the lowest fractional anisotropy in the same tract at 6 months of age. This is one of the first studies to report significant associations between caregiver speech collected in the home and white matter structural coherence in the infant brain. The results are in line with prior work showing that protracted white matter development during infancy confers a cognitive advantage.

Identifiants

pubmed: 37060675
pii: S1878-9293(23)00045-2
doi: 10.1016/j.dcn.2023.101240
pmc: PMC10130606
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101240

Subventions

Organisme : NICHD NIH HHS
ID : R01 HD055741
Pays : United States
Organisme : NIMH NIH HHS
ID : R00 MH108700
Pays : United States
Organisme : NIMH NIH HHS
ID : K99 MH108700
Pays : United States

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Katiana A Estrada (KA)

Department of Psychological Sciences, Purdue University, West Lafayette, IN 47906, USA; Department of Psychology, The University of Texas at Dallas, Richardson, TX 75080, USA.

Sharnya Govindaraj (S)

Department of Psychology, The University of Texas at Dallas, Richardson, TX 75080, USA.

Hervé Abdi (H)

Department of Psychology, The University of Texas at Dallas, Richardson, TX 75080, USA.

Luke E Moraglia (LE)

Department of Psychology, The University of Texas at Dallas, Richardson, TX 75080, USA.

Jason J Wolff (JJ)

Department of Educational Psychology, University of Minnesota, Minneapolis, MN 55455, USA.

Shoba Sreenath Meera (SS)

Department of Speech Pathology and Audiology, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, India.

Stephen R Dager (SR)

Department of Radiology, University of Washington, Seattle, WA 98195, USA.

Robert C McKinstry (RC)

Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63130, USA.

Martin A Styner (MA)

Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599, USA.

Lonnie Zwaigenbaum (L)

Department of Pediatrics, University of Alberta, Edmonton AB T6G 2R3, Canada.

Joseph Piven (J)

Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599, USA.

Meghan R Swanson (MR)

Department of Psychology, The University of Texas at Dallas, Richardson, TX 75080, USA. Electronic address: meghan.swanson@utdallas.edu.

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Classifications MeSH