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Cortical Source Analysis of the Face Sensitive N290 ERP Component in Infants at High Risk for Autism

Appropriate head models for cortical source analysis were investigated and applied to source analyses examining the neural bases of the face-sensitive N290 event-related potential (ERP) component in infants at high risk for autism spectrum disorder (ASD). This included infant siblings of children wi...

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Autores principales: Guy, Maggie W., Richards, John E., Roberts, Jane E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497227/
https://www.ncbi.nlm.nih.gov/pubmed/36138866
http://dx.doi.org/10.3390/brainsci12091129
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author Guy, Maggie W.
Richards, John E.
Roberts, Jane E.
author_facet Guy, Maggie W.
Richards, John E.
Roberts, Jane E.
author_sort Guy, Maggie W.
collection PubMed
description Appropriate head models for cortical source analysis were investigated and applied to source analyses examining the neural bases of the face-sensitive N290 event-related potential (ERP) component in infants at high risk for autism spectrum disorder (ASD). This included infant siblings of children with ASD (ASIBs) and infants with fragile X syndrome (FXS). First, alternative head models for use with ASIBs and FXS were investigated. Head models created from the infant’s own MRI were examined in relation to five head models based on average MRI templates. The results of the head model comparison identified group-specific (i.e., ASIB or FXS) head models created from a large collection of structural MRIs as the best substitution for the head model created from the participant’s own structural MRI. Second, the cortical source analysis was completed on N290 data collected from a previous study to investigate brain areas associated with face sensitive ERP responses. Participants’ own MRIs were used for head models when available, and the group-specific head model was used when the participants’ own MRIs were not available. The results provide evidence for unique patterns of neural activation during face processing across infants at high and low risk for ASD and across etiologically distinct high-risk groups. All infants demonstrated greater activation to faces than toys in brain areas most associated with specialized face processing. Infants with FXS displayed higher levels of activation to faces across all areas analyzed, while ASIBs show more muted levels of activation. Overall, the results of the current study demonstrate the importance of group-specific head models for accurate cortical source analysis in infants at high risk for ASD. This also allows for further research on early distinctions in brain function based on risk status.
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spelling pubmed-94972272022-09-23 Cortical Source Analysis of the Face Sensitive N290 ERP Component in Infants at High Risk for Autism Guy, Maggie W. Richards, John E. Roberts, Jane E. Brain Sci Article Appropriate head models for cortical source analysis were investigated and applied to source analyses examining the neural bases of the face-sensitive N290 event-related potential (ERP) component in infants at high risk for autism spectrum disorder (ASD). This included infant siblings of children with ASD (ASIBs) and infants with fragile X syndrome (FXS). First, alternative head models for use with ASIBs and FXS were investigated. Head models created from the infant’s own MRI were examined in relation to five head models based on average MRI templates. The results of the head model comparison identified group-specific (i.e., ASIB or FXS) head models created from a large collection of structural MRIs as the best substitution for the head model created from the participant’s own structural MRI. Second, the cortical source analysis was completed on N290 data collected from a previous study to investigate brain areas associated with face sensitive ERP responses. Participants’ own MRIs were used for head models when available, and the group-specific head model was used when the participants’ own MRIs were not available. The results provide evidence for unique patterns of neural activation during face processing across infants at high and low risk for ASD and across etiologically distinct high-risk groups. All infants demonstrated greater activation to faces than toys in brain areas most associated with specialized face processing. Infants with FXS displayed higher levels of activation to faces across all areas analyzed, while ASIBs show more muted levels of activation. Overall, the results of the current study demonstrate the importance of group-specific head models for accurate cortical source analysis in infants at high risk for ASD. This also allows for further research on early distinctions in brain function based on risk status. MDPI 2022-08-25 /pmc/articles/PMC9497227/ /pubmed/36138866 http://dx.doi.org/10.3390/brainsci12091129 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Guy, Maggie W.
Richards, John E.
Roberts, Jane E.
Cortical Source Analysis of the Face Sensitive N290 ERP Component in Infants at High Risk for Autism
title Cortical Source Analysis of the Face Sensitive N290 ERP Component in Infants at High Risk for Autism
title_full Cortical Source Analysis of the Face Sensitive N290 ERP Component in Infants at High Risk for Autism
title_fullStr Cortical Source Analysis of the Face Sensitive N290 ERP Component in Infants at High Risk for Autism
title_full_unstemmed Cortical Source Analysis of the Face Sensitive N290 ERP Component in Infants at High Risk for Autism
title_short Cortical Source Analysis of the Face Sensitive N290 ERP Component in Infants at High Risk for Autism
title_sort cortical source analysis of the face sensitive n290 erp component in infants at high risk for autism
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497227/
https://www.ncbi.nlm.nih.gov/pubmed/36138866
http://dx.doi.org/10.3390/brainsci12091129
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