Sign in
NeuroscienceScientific Reports
Peer-reviewed journal article

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

Selene PetitiD, Nicholas A. BadcockiD, Tijl GrootswagersiD, Alexandra WoolgariD

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 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 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 ASD will require individual-subject analyses that are robust to variation in topology and timecourse of neural responses.Competing Interest StatementThe authors have declared no competing interest.View Full Text

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISPetit '20Gigleux '26Godel '25Toffolo '24Arutiunian '26Magnabosco '24
81% semantic matchAnimal Behavior & Cognition
S. Petit, N. A. Badcock, T. Grootswagers+8 more·Journal of Speech, Language, and Hearing Research·Jul 17, 2020