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July 28, 2025

Early Trajectories of Resting-State EEG Power in Autistic Children: A Longitudinal Study Across Language Profiles

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Authors

KLKenza LatrècheMGMichel GodelAFAna Fló

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Overview

Longitudinal analysis reveals distinctive gamma power patterns in autistic children, indicating implications for language outcomes.

Key Points

  • Autistic children exhibit increased resting-state eeg power in low-frequency and high-frequency bands compared to typically developing peers.
  • Gamma power correlates with different autistic language profiles, peaking in minimally verbal children during word acquisition.
  • A longitudinal sample included 122 autistic children and 66 typically developing children aged 1.6-6.0 years.
  • Findings highlight dynamics in eeg power related to language milestones, suggesting potential predictive markers for language outcomes in autism.

Cite This Study

Latrèche et al. (2025) studied this question.

synapsesocial.com/papers/689a0939e6551bb0af8ce9b8https://doi.org/10.21203/rs.3.rs-7204586/v1
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Also Consider

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

  1. 1Resting State Aperiodic and Periodic EEG Activity in Preschool-aged Autistic Children: Differences from Neurotypical Peers and Links to Language Skills2025
  2. 2Theta Power at 10 Months of Age Predicts Developmental Change in Language in Infants With and Without an Elevated Likelihood for Autism2026
  3. 3The relationship between gamma-band neural oscillations and language skills in youth with Autism Spectrum Disorder and their first-degree relatives2024 · 4 citations
  4. 4Early trajectories and moderators of autistic language profiles: A longitudinal study in preschoolers2024 · 20 citations
  5. 5EEG neurosubtyping of infants predicts language trajectories2025