Within a unified framework, MSD-STGNN integrates directional connectivity, multiband information, and short-term dynamic features derived from MEG-based directed brain networks, providing a modeling approach with a certain degree of interpretability for the three-class classification of HCs, patients with lTLE, and pat...
Yi-Lin Jiang, He Wang, Jun Yan et al.· Italian National Conference...· 0 citations
Background Sensory phenomena (SP) affect 60%–80% of obsessive‐compulsive (OC) disorder (OCD) patients, demonstrate dimension‐specific symptom associations, yet their mechanistic role in OCD’s network architecture remains unexamined. Methods In this cross‐sectional study, 1350 clinician‐diagnosed OCD patients from the C...
Yue Sun, Xuedi Zhang, Wen-Xin Tang et al.· Depression and Anxiety· 0 citations
Findings indicate that anatomically grounded node-level multimodal fusion can improve classification performance while preserving neurobiological interpretability, thereby providing a principled framework for multimodal schizophrenia classification and biomarker discovery.
Jing-Jing Gao, J. Wu, Mao-Min Qian et al.· Medical Image Anal.· 0 citations
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