Causal Network Analysis Reveals Key Brain Regions Associated With Severity in Children With Autism Spectrum Disorder.

Researchers studied brain scans of 113 children with autism (ages 2-8) and found that brain changes relate to how severe their autism symptoms are. Children with milder autism had changes in one brain area (parahippocampal gyrus), while those with more severe autism had changes spread across more brain areas. This brain region appears to act like a control center, affecting other parts of the brain. These findings help us better understand how autism affects the brain.

This neuroimaging study examined gray matter changes in 113 children with ASD aged 2-8 years across different severity levels (mild, moderate, severe) compared to 110 healthy controls. Using advanced brain imaging techniques, researchers found that children with mild ASD showed enlarged parahippocampal gyrus regions. As ASD severity increased, gray matter changes became more widespread across the brain. Causal network analysis revealed the parahippocampal gyrus functions as a central hub, influencing other brain regions in ASD-related networks.

These findings suggest the parahippocampal gyrus plays a key role in ASD pathophysiology and that brain changes correlate with symptom severity, supporting dimensional approaches to understanding autism.

Findings support dimensional models of autism and suggest brain imaging may help understand severity differences. The parahippocampal gyrus emerges as a key region of interest for future autism research and potentially targeted interventions, though clinical applications remain preliminary.

Single cross-sectional study design prevents causal conclusions about development. Findings validated by external datasets but replication needed. Causal network analysis methodology is relatively novel and requires further validation.

This study aims to investigate the relationship between gray matter (GM) changes and severity in children with Autism Spectrum Disorder (ASD). We examined 113 ASD children aged 2-8 years (17 mild cases, 56 moderate cases, and 40 severe cases), as well as 110 age and sex-matched healthy controls (HC). Voxel-based morphometry (VBM) was used to compare GM density (GMD) changes between ASD and HC groups. Additionally, structural covariance network analysis quantified the cross-regional synchronous changes in GM among ASD children, and causal analysis described the pattern of changes in the GM network related to symptom severity in ASD children.

The results indicated that ASD children exhibiting mild symptoms have an enlarged parahippocampal gyrus, and as the severity of ASD increases, the range of GMD changes expands (p < 0.05, FDR correction). Granger causality (GC) analysis revealed that the parahippocampal gyrus may function as a central hub within ASD-related directional networks, exerting causal effects on other brain regions (p < 0.05). These findings were validated by external datasets. Our results provide preliminary insights into the role of the parahippocampal gyrus in ASD and promote the application of dimensional models.