September 16, 2025European PsychiatryOpen Access

Using EEG to challenge ASD heterogeneity: Stratification of brain functional connectivity reveals clinically meaningful subgroups of ASD

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Authors

BRBorja Rodríguez‐HerrerosUniversity Hospital of Lausanne AMAhmad MheichUniversity Hospital of Lausanne SYSahar YassineUniversity of Oxford

Discussion

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Implication

Analysis identifies distinct brain connectivity patterns in children with ASD, suggesting new approaches for treatment and understanding underlying mechanisms.

Key Points

Four distinct subgroups of children with ASD were identified, each linked to specific clinical symptom profiles, particularly in cognitive function.
The clustering analysis used resting-state EEG data from 541 ASD children, revealing significant differences in brain network properties.
Using data-driven similarity network fusion, the study examined atypical brain connectivity in the fronto-parietal and middle temporal cortices.
Findings highlight the connection between specific cortical network signatures and the heterogeneity of ASD, enabling potential targeted interventions.

Cite This Study

Rodríguez‐Herreros et al. (2025) studied this question.

synapsesocial.com/papers/68d4507931b076d99fa57dd6 https://doi.org/10.1192/j.eurpsy.2025.730

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September 16, 2025European PsychiatryOpen Access

Using EEG to challenge ASD heterogeneity: Stratification of brain functional connectivity reveals clinically meaningful subgroups of ASD

View Full Paper

Ask AI

Bookmark

Authors

BRBorja Rodríguez‐HerrerosUniversity Hospital of Lausanne AMAhmad MheichUniversity Hospital of Lausanne SYSahar YassineUniversity of Oxford

Discussion

Member takes

Implication

Analysis identifies distinct brain connectivity patterns in children with ASD, suggesting new approaches for treatment and understanding underlying mechanisms.

Key Points

Four distinct subgroups of children with ASD were identified, each linked to specific clinical symptom profiles, particularly in cognitive function.
The clustering analysis used resting-state EEG data from 541 ASD children, revealing significant differences in brain network properties.
Using data-driven similarity network fusion, the study examined atypical brain connectivity in the fronto-parietal and middle temporal cortices.
Findings highlight the connection between specific cortical network signatures and the heterogeneity of ASD, enabling potential targeted interventions.

Cite This Study

Rodríguez‐Herreros et al. (2025) studied this question.

synapsesocial.com/papers/68d4507931b076d99fa57dd6 https://doi.org/10.1192/j.eurpsy.2025.730

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