A. T. Jafadideh

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.

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.