Neonatal White Matter Maturation Is Associated With Infant Language Development.

diffusion tensor imaging infant language development neonatal neuroimaging receptive language development white matter development

Journal

Frontiers in human neuroscience
ISSN: 1662-5161
Titre abrégé: Front Hum Neurosci
Pays: Switzerland
ID NLM: 101477954

Informations de publication

Date de publication:
2019
Historique:
received: 20 08 2019
accepted: 25 11 2019
entrez: 11 1 2020
pubmed: 11 1 2020
medline: 11 1 2020
Statut: epublish

Résumé

While neonates have no sophisticated language skills, the neural basis for acquiring this function is assumed to already be present at birth. Receptive language is measurable by 6 months of age and meaningful speech production by 10-18 months of age. Fiber tracts supporting language processing include the corpus callosum (CC), which plays a key role in the hemispheric lateralization of language; the left arcuate fasciculus (AF), which is associated with syntactic processing; and the right AF, which plays a role in prosody and semantics. We examined if neonatal maturation of these fiber tracts is associated with receptive language development at 12 months of age. Diffusion-weighted imaging (DWI) was performed in 86 infants at 26.6 ± 12.2 days post-birth. Receptive language was assessed After multiple comparisons correction, higher neonatal FA was positively associated with receptive language at 12 months of age within the genu ( Microstructural development of the CC and the AF in the newborn is associated with receptive language at 12 months of age, demonstrating that interindividual variation in white matter microstructure is relevant for later language development, and indicating that the neural foundation for language processing is laid well ahead of the majority of language acquisition. This suggests that some origins of impaired language development may lie in the intrauterine and potentially neonatal period of life. Understanding how interindividual differences in neonatal brain maturity relate to the acquisition of function, particularly during early development when the brain is in an unparalleled window of plasticity, is key to identifying opportunities for harnessing neuroplasticity in health and disease.

Sections du résumé

BACKGROUND BACKGROUND
While neonates have no sophisticated language skills, the neural basis for acquiring this function is assumed to already be present at birth. Receptive language is measurable by 6 months of age and meaningful speech production by 10-18 months of age. Fiber tracts supporting language processing include the corpus callosum (CC), which plays a key role in the hemispheric lateralization of language; the left arcuate fasciculus (AF), which is associated with syntactic processing; and the right AF, which plays a role in prosody and semantics. We examined if neonatal maturation of these fiber tracts is associated with receptive language development at 12 months of age.
METHODS METHODS
Diffusion-weighted imaging (DWI) was performed in 86 infants at 26.6 ± 12.2 days post-birth. Receptive language was assessed
RESULTS RESULTS
After multiple comparisons correction, higher neonatal FA was positively associated with receptive language at 12 months of age within the genu (
CONCLUSION CONCLUSIONS
Microstructural development of the CC and the AF in the newborn is associated with receptive language at 12 months of age, demonstrating that interindividual variation in white matter microstructure is relevant for later language development, and indicating that the neural foundation for language processing is laid well ahead of the majority of language acquisition. This suggests that some origins of impaired language development may lie in the intrauterine and potentially neonatal period of life. Understanding how interindividual differences in neonatal brain maturity relate to the acquisition of function, particularly during early development when the brain is in an unparalleled window of plasticity, is key to identifying opportunities for harnessing neuroplasticity in health and disease.

Identifiants

pubmed: 31920593
doi: 10.3389/fnhum.2019.00434
pmc: PMC6927985
doi:

Types de publication

Journal Article

Langues

eng

Pagination

434

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH091351
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH105538
Pays : United States
Organisme : NIH HHS
ID : UH3 OD023349
Pays : United States

Informations de copyright

Copyright © 2019 Sket, Overfeld, Styner, Gilmore, Entringer, Wadhwa, Rasmussen and Buss.

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Auteurs

Georgina M Sket (GM)

Department of Medical Psychology, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.

Judith Overfeld (J)

Department of Medical Psychology, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.

Martin Styner (M)

Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

John H Gilmore (JH)

Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Sonja Entringer (S)

Department of Medical Psychology, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Development, Health, and Disease Research Program, University of California, Irvine, Orange, CA, United States.

Pathik D Wadhwa (PD)

Development, Health, and Disease Research Program, University of California, Irvine, Orange, CA, United States.

Jerod M Rasmussen (JM)

Development, Health, and Disease Research Program, University of California, Irvine, Orange, CA, United States.

Claudia Buss (C)

Department of Medical Psychology, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Development, Health, and Disease Research Program, University of California, Irvine, Orange, CA, United States.

Classifications MeSH