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November 18, 2025Journal of Neural TransmissionOpen Access

EEG neurosubtyping of infants predicts language trajectories

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Authors

GBGabriel Blanco-GomezNWNicky WrightCOChristian O’Reilly

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Overview

Analysis shows EEG subtyping methods can predict language outcomes in infants with autism spectrum disorder, highlighting the role of connectivity.

Key Points

  • The research aims to explore how EEG-based subtyping can predict language trajectories in infants with autism spectrum disorder.
  • Analyzed EEG recordings from 144 infants aged 6-7 months
  • Utilized latent profile analysis and hierarchical clustering for subtyping
  • Identified subgroups based on language-associated EEG measures
  • Three distinct subgroups based on EEG measures were identified
  • Higher connectivity in language regions linked to better expressive and receptive language outcomes
  • The subgroups did not predict later ASD diagnosis, indicating no ASD-specific phenotype during early life.

Cite This Study

Blanco-Gomez et al. (2025) studied this question.

synapsesocial.com/papers/6924fee6c0ce034ddc3516fchttps://doi.org/10.1007/s00702-025-03063-2
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Early Trajectories of Resting-State EEG Power in Autistic Children: A Longitudinal Study Across Language Profiles2025 · 1 citations
  2. 2Using EEG to challenge ASD heterogeneity: Stratification of brain functional connectivity reveals clinically meaningful subgroups of ASD2025
  3. 3Neurobiology of language in autism: a systematic review of pediatric studies2026
  4. 4Multimodality Integration of Neural Social Activation and Social and Language Scores Reveals Three Replicable Profound and Milder Autism Subtypes With Divergent Clinical Outcomes2024 · 2 citations
  5. 5Spatiotemporal brain-state dynamics delineate executive function subtypes in school-aged autism: evidence from co-activation patterns and a four-year follow-up2026