B. Mohammadzadeh Asl

Topological analysis of brain dynamics in autism based on graph and persistent homology

This paper uses topological analysis of dynamic functional connectivity states to identify discriminative features between autism spectrum disorder and typical controls, finding that persistent homology metrics outperform graph-based metrics in classification.

A Comparison Study between Autism Spectrum Disorder and Typically Control in Graph Frequency Bands Using Graph and Triadic Interaction Metrics

This study compares autism spectrum disorder (ASD) and typically developing (TC) subjects using graph and triadic interaction metrics in different frequency bands to identify discriminative features.

Rest-fMRI Based Comparison Study between Autism Spectrum Disorder and Typically Control Using Graph Frequency Bands

This paper compares autism spectrum disorder and typically developing controls using resting-state fMRI and graph frequency bands to identify distinguishing features.