Multiscale multimodal graph convolutional networks for identifying essential tremor and dystonic tremor

Background: Essential tremor (ET) and Dystonic tremor (DT) share overlapping motor symptoms, leading to frequent misdiagnoses. Multimodal Graph Convolutional Network (GCNs) with transformer architecture hold promise for early diagnosis and pathogenesis exploration. Objectives: To develop a multiscal...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Hongyu Wang, Li Tao, Xiaole Zhao, Pan Xiao, Honge Gui, Bintao Xu, Huiyue Chen, Hansheng Wang, Fajin Lv, Tianyou Luo, Oumei Cheng, Jing Luo, Yun Man, Zheng Xiao, Weidong Fang
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2026-07-01
סדרה:	Neurobiology of Disease
נושאים:	Graph convolutional networks Essential tremor Dystonic tremor Multimodal Functional connectivity Structural connectivity
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S0969996126001725
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!