Autism spectrum disorder disrupts brain network connectivity maturation during childhood development.

Researchers used brain wave recordings (EEG) to study how children's brains develop differently in autism. They compared 35 autistic children to 35 typically developing children. The study found that autistic children had disrupted communication between brain regions and different patterns of brain wave development, particularly in the back part of the brain. These differences may help us understand how autism affects brain development during childhood.

This EEG study examined brain network development in 35 children with autism spectrum disorder level 1 compared to 35 neurotypical children. Researchers measured alpha brain waves, peak alpha frequency, and transfer entropy during resting states to assess brain maturation trajectories. The study found significant disruptions in directional brain network communication between regions in children with ASD. Additionally, children with ASD showed altered occipital alpha power and peak alpha frequency development patterns compared to neurotypical peers.

These findings suggest developmental disruptions in brain connectivity maturation during childhood in autism, potentially providing insights into disease mechanisms and informing future intervention approaches.

EEG measures may serve as potential biomarkers for autism brain development differences. Findings could inform early identification strategies and guide targeted interventions focusing on brain connectivity. Results suggest developmental windows may be critical for intervention timing in childhood autism.

Small sample size (35 per group) limits generalizability. Study focused only on ASD level 1, excluding other autism support levels. Cross-sectional nature unclear from abstract. Methodology details and statistical significance values not provided.

Understanding the developmental trajectory of autism spectrum disorder (ASD) remains a critical barrier for timely intervention in children. Here, we investigated the deficit brain maturation trajectory during childhood development in 35 ASD level 1 and 35 neurotypical children through an electroencephalography (EEG) approach. An empirical study of the potential EEG biomarkers was demonstrated in a comprehensive view of group difference and age-related group comparison using alpha power, peak alpha frequency and transfer entropy during resting. We found a significant disruption of directional brain network communication between regions in children with ASD compared to neurotypical children.

Our results also suggested that the children with ASD had altered occipital alpha power and peak alpha frequency development. The present study revealed promising findings that underpinned the developmental disruption of autism spectrum disorder, which may provide a prevailing insight into the disease pathology mechanisms, paving the way for future intervention advancement.