Combined graph convolutional networks with a multi-connection pattern to identify tremor-dominant Parkinson’s disease and Essential tremor with resting tremor

• Published in: Neuroscience Vol. 563; pp. 239 - 251
• Main Authors: Zhao, Xiaole, Xiao, Pan, Gui, Honge, Xu, Bintao, Wang, Hongyu, Tao, Li, Chen, Huiyue, Wang, Hansheng, Lv, Fajin, Luo, Tianyou, Cheng, Oumei, Luo, Jing, Man, Yun, Xiao, Zheng, Fang, Weidong
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 17.12.2024
• Subjects: Aged; Brain - diagnostic imaging; Brain - physiopathology; Brain connectivity networks; Brain Mapping - methods; Essential Tremor - diagnosis; Essential Tremor - physiopathology; Essential tremor with resting tremor; Female; Graph convolution network; Humans; Magnetic Resonance Imaging - methods; Male; Middle Aged; Neural Networks, Computer; Neural Pathways - diagnostic imaging; Neural Pathways - physiopathology; Parkinson Disease - diagnostic imaging; Parkinson Disease - physiopathology; Resting-state functional MRI; Tremor - diagnosis; Tremor - diagnostic imaging; Tremor - physiopathology; Tremor-dominant Parkinson’s disease; Essential tremor with resting tremor; Resting-state functional MRI; Tremor-dominant Parkinson’s disease; Brain connectivity networks; Graph convolution network

•Multi-pattern connection graph convolutional networks can effectively identify essential tremor with resting tremor and tremor-dominant Parkinson’s disease.•Different connection modes may provide distinct discriminative information for diagnosis.•The occipital network and basal ganglion-temporal lo...