Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children

Abstract In conditions such as minimally-verbal autism, standard assessments of language comprehension are often unreliable. Given the known heterogeneity within the autistic population, it is crucial to design tests of semantic comprehension that are sensitive in individuals. Recent efforts to deve...

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Autores principales:	Selene Petit, Nicholas A. Badcock, Tijl Grootswagers, Alexandra Woolgar
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/df66bee6ec6f4e36ad8c1c73b7ea6114
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spelling	oai:doaj.org-article:df66bee6ec6f4e36ad8c1c73b7ea61142021-12-02T16:32:08ZUnconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children10.1038/s41598-020-67407-62045-2322https://doaj.org/article/df66bee6ec6f4e36ad8c1c73b7ea61142020-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-67407-6https://doaj.org/toc/2045-2322Abstract In conditions such as minimally-verbal autism, standard assessments of language comprehension are often unreliable. Given the known heterogeneity within the autistic population, it is crucial to design tests of semantic comprehension that are sensitive in individuals. Recent efforts to develop neural signals of language comprehension have focused on the N400, a robust marker of lexical-semantic violation at the group level. However, homogeneity of response in individual neurotypical children has not been established. Here, we presented 20 neurotypical children with congruent and incongruent visual animations and spoken sentences while measuring their neural response using electroencephalography (EEG). Despite robust group-level responses, we found high inter-individual variability in response to lexico-semantic anomalies. To overcome this, we analysed our data using temporally and spatially unconstrained multivariate pattern analyses (MVPA), supplemented by descriptive analyses to examine the timecourse, topography, and strength of the effect. Our results show that neurotypical children exhibit heterogenous responses to lexical-semantic violation, implying that any application to heterogenous disorders such as autism spectrum disorder will require individual-subject analyses that are robust to variation in topology and timecourse of neural responses.Selene PetitNicholas A. BadcockTijl GrootswagersAlexandra WoolgarNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Selene Petit Nicholas A. Badcock Tijl Grootswagers Alexandra Woolgar Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children
description	Abstract In conditions such as minimally-verbal autism, standard assessments of language comprehension are often unreliable. Given the known heterogeneity within the autistic population, it is crucial to design tests of semantic comprehension that are sensitive in individuals. Recent efforts to develop neural signals of language comprehension have focused on the N400, a robust marker of lexical-semantic violation at the group level. However, homogeneity of response in individual neurotypical children has not been established. Here, we presented 20 neurotypical children with congruent and incongruent visual animations and spoken sentences while measuring their neural response using electroencephalography (EEG). Despite robust group-level responses, we found high inter-individual variability in response to lexico-semantic anomalies. To overcome this, we analysed our data using temporally and spatially unconstrained multivariate pattern analyses (MVPA), supplemented by descriptive analyses to examine the timecourse, topography, and strength of the effect. Our results show that neurotypical children exhibit heterogenous responses to lexical-semantic violation, implying that any application to heterogenous disorders such as autism spectrum disorder will require individual-subject analyses that are robust to variation in topology and timecourse of neural responses.
format	article
author	Selene Petit Nicholas A. Badcock Tijl Grootswagers Alexandra Woolgar
author_facet	Selene Petit Nicholas A. Badcock Tijl Grootswagers Alexandra Woolgar
author_sort	Selene Petit
title	Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children
title_short	Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children
title_full	Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children
title_fullStr	Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children
title_full_unstemmed	Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children
title_sort	unconstrained multivariate eeg decoding can help detect lexical-semantic processing in individual children
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/df66bee6ec6f4e36ad8c1c73b7ea6114
work_keys_str_mv	AT selenepetit unconstrainedmultivariateeegdecodingcanhelpdetectlexicalsemanticprocessinginindividualchildren AT nicholasabadcock unconstrainedmultivariateeegdecodingcanhelpdetectlexicalsemanticprocessinginindividualchildren AT tijlgrootswagers unconstrainedmultivariateeegdecodingcanhelpdetectlexicalsemanticprocessinginindividualchildren AT alexandrawoolgar unconstrainedmultivariateeegdecodingcanhelpdetectlexicalsemanticprocessinginindividualchildren
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Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children

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