Closed-loop pathways associated with clinical symptoms in children with autism spectrum disorder: a complex network analysis.

ABSTRACT:

Background

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication deficits and repetitive behaviors. Neurobiomarkers for ASD are lacking, which hinders early diagnosis and personalized treatment. This study aimed to identify potential biomarkers for ASD using complex network analysis, specifically causal brain networks, to identify functional closed-loop pathways in the brains of children with ASD.

Methods

The study included 58 ASD patients and 57 typically developing (TD) children ages 6-12 years. Brain causal networks and temporal-lag networks were constructed using a deep learning model to infer the causal relationships between brain regions and the temporal-lag of signal transmissions. Statistical analysis was performed to

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12514598 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature