TY - JOUR
T1 - Parent Language Input Prior to School Forecasts Change in Children’s Language-Related Cortical Structures During Mid-Adolescence
AU - Demir-Lira, Ece
AU - Asaridou, Salomi S.
AU - Nolte, Collin
AU - Small, Steven L.
AU - Goldin-Meadow, Susan
N1 - Funding Information:
This research was supported by two institutes of the National Institutes of Health (NIH) – the National Institute of Child
Funding Information:
The support of the funder is gratefully acknowledged. We also wish to thank Kristi Schonwald for her coordination of the entire project, Jodi Khan and Jason Voigt for administrative and technical assistance, Christine Bascetta, Karyn Brasky, Megan Broughan, Laura Chang, Elaine Croft, Kristin Duboc, Sam Engel, Jennifer Griffin, Sarah Gripshover, Kelsey Harden, Lauren King, Max Masich, Carrie Meanwell, Erica Mellum, Molly Nikolas, Jana Oberholtzer, Lilia Rissman, Becky Seibel, Meredith Simone, Calla Trofatter, Kevin Uttich, Julie Wallman, Kristin Walters, and Virginia Li for help in collecting and transcribing the data. We gratefully acknowledge efforts of the children and families who participated and who sacrificed their personal time to help us learn about the neurobiology of language development. Funding. This research was supported by two institutes of the National Institutes of Health (NIH) ? the National Institute of Child Health and Human Development (NICHD) under Grant P01 HD040605 (SG-M and SS are PIs) and the National Institute of Deafness and other Communication Disorders (NIDCD) under Grant R01 DC003378.
Publisher Copyright:
© Copyright © 2021 Demir-Lira, Asaridou, Nolte, Small and Goldin-Meadow.
PY - 2021/8/2
Y1 - 2021/8/2
N2 - Children differ widely in their early language development, and this variability has important implications for later life outcomes. Parent language input is a strong experiential factor predicting the variability in children’s early language skills. However, little is known about the brain or cognitive mechanisms that underlie the relationship. In addressing this gap, we used longitudinal data spanning 15 years to examine the role of early parental language input that children receive during preschool years in the development of brain structures that support language processing during school years. Using naturalistic parent–child interactions, we measured parental language input (amount and complexity) to children between the ages of 18 and 42 months (n = 23). We then assessed longitudinal changes in children’s cortical thickness measured at five time points between 9 and 16 years of age. We focused on specific regions of interest (ROIs) that have been shown to play a role in language processing. Our results support the view that, even after accounting for important covariates such as parental intelligence quotient (IQ) and education, the amount and complexity of language input to a young child prior to school forecasts the rate of change in cortical thickness during the 7-year period from 5½ to 12½ years later. Examining the proximal correlates of change in brain and cognitive differences has the potential to inform targets for effective prevention and intervention strategies.
AB - Children differ widely in their early language development, and this variability has important implications for later life outcomes. Parent language input is a strong experiential factor predicting the variability in children’s early language skills. However, little is known about the brain or cognitive mechanisms that underlie the relationship. In addressing this gap, we used longitudinal data spanning 15 years to examine the role of early parental language input that children receive during preschool years in the development of brain structures that support language processing during school years. Using naturalistic parent–child interactions, we measured parental language input (amount and complexity) to children between the ages of 18 and 42 months (n = 23). We then assessed longitudinal changes in children’s cortical thickness measured at five time points between 9 and 16 years of age. We focused on specific regions of interest (ROIs) that have been shown to play a role in language processing. Our results support the view that, even after accounting for important covariates such as parental intelligence quotient (IQ) and education, the amount and complexity of language input to a young child prior to school forecasts the rate of change in cortical thickness during the 7-year period from 5½ to 12½ years later. Examining the proximal correlates of change in brain and cognitive differences has the potential to inform targets for effective prevention and intervention strategies.
KW - MRI
KW - brain structure
KW - cortical thickness
KW - language acquisition
KW - language development
KW - parental language input
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U2 - 10.3389/fnhum.2021.650152
DO - 10.3389/fnhum.2021.650152
M3 - Article
C2 - 34408634
AN - SCOPUS:85112775763
SN - 1662-5161
VL - 15
JO - Frontiers in Human Neuroscience
JF - Frontiers in Human Neuroscience
M1 - 650152
ER -