Cargando…
Infant EEG theta modulation predicts childhood intelligence
Intellectual functioning is a critical determinant of economic and personal productivity. Identifying early neural predictors of cognitive function in infancy will allow us to map the neurodevelopmental pathways that underpin individual differences in intellect. Here, in three different cohorts we i...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343785/ https://www.ncbi.nlm.nih.gov/pubmed/32641754 http://dx.doi.org/10.1038/s41598-020-67687-y |
_version_ | 1783555820957466624 |
---|---|
author | Jones, E. J. H. Goodwin, A. Orekhova, E. Charman, T. Dawson, G. Webb, S. J. Johnson, M. H. |
author_facet | Jones, E. J. H. Goodwin, A. Orekhova, E. Charman, T. Dawson, G. Webb, S. J. Johnson, M. H. |
author_sort | Jones, E. J. H. |
collection | PubMed |
description | Intellectual functioning is a critical determinant of economic and personal productivity. Identifying early neural predictors of cognitive function in infancy will allow us to map the neurodevelopmental pathways that underpin individual differences in intellect. Here, in three different cohorts we investigate the association between a putative neurophysiological indicator of information encoding (change in frontal theta during a novel video) in infancy and later general cognitive outcome. In a discovery cohort of 12-month-old typically developing infants, we recorded EEG during presentation of dynamic movies of people and objects. Frontal theta power (3–6 Hz) significantly increased during the course of viewing each video. Critically, increase in frontal theta during viewing of a video was associated with a differential response to repetition of that specific video, confirming relation to learning. Further, individual differences in the magnitude of change in frontal theta power were related to concurrent nonverbal cognitive level. We then sought to extend this association in two independent samples enriched for variation in cognitive outcome due to the inclusion of infants at familial risk for autism. We observed similar patterns of theta EEG change at 12 months, and found a predictive relation to verbal and nonverbal cognitive skills measured at 2, 3 and 7 years of age. For the subset of high-risk infants later diagnosed with autism, infant theta EEG explained over 80% of the variance in nonverbal skills at age 3 years. We suggest that EEG theta change in infancy is an excellent candidate predictive biomarker that could yield substantial insight into the mechanisms that underlie individual differences in childhood intelligence, particularly in high risk populations. |
format | Online Article Text |
id | pubmed-7343785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73437852020-07-09 Infant EEG theta modulation predicts childhood intelligence Jones, E. J. H. Goodwin, A. Orekhova, E. Charman, T. Dawson, G. Webb, S. J. Johnson, M. H. Sci Rep Article Intellectual functioning is a critical determinant of economic and personal productivity. Identifying early neural predictors of cognitive function in infancy will allow us to map the neurodevelopmental pathways that underpin individual differences in intellect. Here, in three different cohorts we investigate the association between a putative neurophysiological indicator of information encoding (change in frontal theta during a novel video) in infancy and later general cognitive outcome. In a discovery cohort of 12-month-old typically developing infants, we recorded EEG during presentation of dynamic movies of people and objects. Frontal theta power (3–6 Hz) significantly increased during the course of viewing each video. Critically, increase in frontal theta during viewing of a video was associated with a differential response to repetition of that specific video, confirming relation to learning. Further, individual differences in the magnitude of change in frontal theta power were related to concurrent nonverbal cognitive level. We then sought to extend this association in two independent samples enriched for variation in cognitive outcome due to the inclusion of infants at familial risk for autism. We observed similar patterns of theta EEG change at 12 months, and found a predictive relation to verbal and nonverbal cognitive skills measured at 2, 3 and 7 years of age. For the subset of high-risk infants later diagnosed with autism, infant theta EEG explained over 80% of the variance in nonverbal skills at age 3 years. We suggest that EEG theta change in infancy is an excellent candidate predictive biomarker that could yield substantial insight into the mechanisms that underlie individual differences in childhood intelligence, particularly in high risk populations. Nature Publishing Group UK 2020-07-08 /pmc/articles/PMC7343785/ /pubmed/32641754 http://dx.doi.org/10.1038/s41598-020-67687-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jones, E. J. H. Goodwin, A. Orekhova, E. Charman, T. Dawson, G. Webb, S. J. Johnson, M. H. Infant EEG theta modulation predicts childhood intelligence |
title | Infant EEG theta modulation predicts childhood intelligence |
title_full | Infant EEG theta modulation predicts childhood intelligence |
title_fullStr | Infant EEG theta modulation predicts childhood intelligence |
title_full_unstemmed | Infant EEG theta modulation predicts childhood intelligence |
title_short | Infant EEG theta modulation predicts childhood intelligence |
title_sort | infant eeg theta modulation predicts childhood intelligence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343785/ https://www.ncbi.nlm.nih.gov/pubmed/32641754 http://dx.doi.org/10.1038/s41598-020-67687-y |
work_keys_str_mv | AT jonesejh infanteegthetamodulationpredictschildhoodintelligence AT goodwina infanteegthetamodulationpredictschildhoodintelligence AT orekhovae infanteegthetamodulationpredictschildhoodintelligence AT charmant infanteegthetamodulationpredictschildhoodintelligence AT dawsong infanteegthetamodulationpredictschildhoodintelligence AT webbsj infanteegthetamodulationpredictschildhoodintelligence AT johnsonmh infanteegthetamodulationpredictschildhoodintelligence |