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

Accepted version
Peer-reviewed

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Type

Article

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Authors

Badcock, Nicholas A  ORCID logo  https://orcid.org/0000-0001-6862-4694
Grootswagers, Tijl 
Woolgar, Alexandra 

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.

Description

Keywords

Acoustic Stimulation, Autism Spectrum Disorder, Child, Comprehension, Electroencephalography, Evoked Potentials, Female, Humans, Language, Male, Semantics, Speech Perception

Journal Title

Sci Rep

Conference Name

Journal ISSN

2045-2322
2045-2322

Volume Title

10

Publisher

Springer Science and Business Media LLC

Rights

All rights reserved
Sponsorship
Medical Research Council (MC_UU_00005/17)