ADHD Classifiers Based on GM-WM Structural Connectivity Couplings and Transcriptional Signatures

COEX 

Attention-Deficit/Hyperactivity Disorder (ADHD) stands as a complex neurodevelopmental disorder, drawing considerable focus in the realm of neuroimaging psychiatry. While aberrations in the neural mechanisms of both brain gray matter and white matter have been extensively pinpointed, the intricate patterns of their structural connectivity coupling and the concurrent gene expression profiles continue to elude comprehensive understanding. Herein, we established machine-learning classifiers based on Gray-White Matter Structural Connectivity Coupling (GWSC) patterns, with a parallel exploration to unravel the underlying transcriptomes.