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Attentive brain states in infants with and without later autism
Early difficulties in engaging attentive brain states in social settings could affect learning and have cascading effects on social development. We investigated this possibility using multichannel electroencephalography during a face/non-face paradigm in 8-month-old infants with (FH, n = 91) and wit...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009890/ https://www.ncbi.nlm.nih.gov/pubmed/33785730 http://dx.doi.org/10.1038/s41398-021-01315-9 |
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author | Gui, Anna Bussu, Giorgia Tye, Charlotte Elsabbagh, Mayada Pasco, Greg Charman, Tony Johnson, Mark H. Jones, Emily J. H. |
author_facet | Gui, Anna Bussu, Giorgia Tye, Charlotte Elsabbagh, Mayada Pasco, Greg Charman, Tony Johnson, Mark H. Jones, Emily J. H. |
author_sort | Gui, Anna |
collection | PubMed |
description | Early difficulties in engaging attentive brain states in social settings could affect learning and have cascading effects on social development. We investigated this possibility using multichannel electroencephalography during a face/non-face paradigm in 8-month-old infants with (FH, n = 91) and without (noFH, n = 40) a family history of autism spectrum disorder (ASD). An event-related potential component reflecting attention engagement, the Nc, was compared between FH infants who received a diagnosis of ASD at 3 years of age (FH-ASD; n = 19), FH infants who did not (FH-noASD; n = 72) and noFH infants (who also did not, hereafter noFH-noASD; n = 40). ‘Prototypical’ microstates during social attention were extracted from the noFH-noASD group and examined in relation to later categorical and dimensional outcome. Machine-learning was used to identify the microstate features that best predicted ASD and social adaptive skills at three years. Results suggested that whilst measures of brain state timing were related to categorical ASD outcome, brain state strength was related to dimensional measures of social functioning. Specifically, the FH-ASD group showed shorter Nc latency relative to other groups, and duration of the attentive microstate responses to faces was informative for categorical outcome prediction. Reduced Nc amplitude difference between faces with direct gaze and a non-social control stimulus and strength of the attentive microstate to faces contributed to the prediction of dimensional variation in social skills. Taken together, this provides consistent evidence that atypical attention engagement precedes the emergence of difficulties in socialization and indicates that using the spatio-temporal characteristics of whole-brain activation to define brain states in infancy provides an important new approach to understanding of the neurodevelopmental mechanisms that lead to ASD. |
format | Online Article Text |
id | pubmed-8009890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80098902021-04-16 Attentive brain states in infants with and without later autism Gui, Anna Bussu, Giorgia Tye, Charlotte Elsabbagh, Mayada Pasco, Greg Charman, Tony Johnson, Mark H. Jones, Emily J. H. Transl Psychiatry Article Early difficulties in engaging attentive brain states in social settings could affect learning and have cascading effects on social development. We investigated this possibility using multichannel electroencephalography during a face/non-face paradigm in 8-month-old infants with (FH, n = 91) and without (noFH, n = 40) a family history of autism spectrum disorder (ASD). An event-related potential component reflecting attention engagement, the Nc, was compared between FH infants who received a diagnosis of ASD at 3 years of age (FH-ASD; n = 19), FH infants who did not (FH-noASD; n = 72) and noFH infants (who also did not, hereafter noFH-noASD; n = 40). ‘Prototypical’ microstates during social attention were extracted from the noFH-noASD group and examined in relation to later categorical and dimensional outcome. Machine-learning was used to identify the microstate features that best predicted ASD and social adaptive skills at three years. Results suggested that whilst measures of brain state timing were related to categorical ASD outcome, brain state strength was related to dimensional measures of social functioning. Specifically, the FH-ASD group showed shorter Nc latency relative to other groups, and duration of the attentive microstate responses to faces was informative for categorical outcome prediction. Reduced Nc amplitude difference between faces with direct gaze and a non-social control stimulus and strength of the attentive microstate to faces contributed to the prediction of dimensional variation in social skills. Taken together, this provides consistent evidence that atypical attention engagement precedes the emergence of difficulties in socialization and indicates that using the spatio-temporal characteristics of whole-brain activation to define brain states in infancy provides an important new approach to understanding of the neurodevelopmental mechanisms that lead to ASD. Nature Publishing Group UK 2021-03-30 /pmc/articles/PMC8009890/ /pubmed/33785730 http://dx.doi.org/10.1038/s41398-021-01315-9 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gui, Anna Bussu, Giorgia Tye, Charlotte Elsabbagh, Mayada Pasco, Greg Charman, Tony Johnson, Mark H. Jones, Emily J. H. Attentive brain states in infants with and without later autism |
title | Attentive brain states in infants with and without later autism |
title_full | Attentive brain states in infants with and without later autism |
title_fullStr | Attentive brain states in infants with and without later autism |
title_full_unstemmed | Attentive brain states in infants with and without later autism |
title_short | Attentive brain states in infants with and without later autism |
title_sort | attentive brain states in infants with and without later autism |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009890/ https://www.ncbi.nlm.nih.gov/pubmed/33785730 http://dx.doi.org/10.1038/s41398-021-01315-9 |
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