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

Authors :
Katiana A. Estrada
Sharnya Govindaraj
Hervé Abdi
Luke E. Moraglia
Jason J. Wolff
Shoba Sreenath Meera
Stephen R. Dager
Robert C. McKinstry
Martin A. Styner
Lonnie Zwaigenbaum
Joseph Piven
Meghan R. Swanson
Source :
Developmental Cognitive Neuroscience, Vol 61, Iss , Pp 101240- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

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.

Details

Language :
English
ISSN :
18789293
Volume :
61
Issue :
101240-
Database :
Directory of Open Access Journals
Journal :
Developmental Cognitive Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.32c7087a74e4faa936eb530c7ff3ab9
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dcn.2023.101240