ArticleScientific reports2020
Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Evaluating the effects of regularization and cross-validation parameters on the performance of SVM-based decoding of EEG data.Cortex; a journal devoted to the study of the nervous system and behavior · 2026Article
- Evaluating the effects of regularization and cross-validation parameters on the performance of SVM-based decoding of EEG data.bioRxiv : the preprint server for biology · 2026Article
- A new education agenda based on The International Science and Evidence Based Education Assessment.NPJ science of learning · 2025Article
- Vocal Emotion Perception and Musicality-Insights from EEG Decoding.Sensors (Basel, Switzerland) · 2025Article
- Decoding N400m Evoked Component: A Tutorial on Multivariate Pattern Analysis for OP-MEG Data.Bioengineering (Basel, Switzerland) · 2024Article
- Mismatch Responses to Speech Contrasts in Preschoolers with and without Developmental Language Disorder.Brain sciences · 2023Article
- Electrophysiological Correlates of Vocal Emotional Processing in Musicians and Non-Musicians.Brain sciences · 2023Article
- Decoding the content of working memory in school-aged children.bioRxiv : the preprint server for biology · 2023Article
- Cognitive-Motor Dissociation Following Pediatric Brain Injury: What About the Children?Neurology. Clinical practice · 2022Article
- Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics.Frontiers in artificial intelligence · 2022Article
- Speech Processing in Autism Spectrum Disorder: An Integrative Review of Auditory Neurophysiology Findings.Journal of speech, language, and hearing research : JSLHR · 2021Review
- Word Detection in Individual Subjects Is Difficult to Probe With Fast Periodic Visual Stimulation.Frontiers in neuroscience · 2021Article
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Authors and funding
4 authors.
Funding
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.
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