Jheng-Yan Li1, Jeng-Dau Tsai2,3, Chao-Yu Shen4,5, and Jun-Cheng Weng1,6,7
1Department of Medical Imaging and Radiological Sciences, and Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan, 2School of Medicine, Chung Shan Medical University, Taichung, Taiwan, 3Department of Pediatrics, Chung Shan Medical University Hospital, Taichung, Taiwan, 4Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, 5Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan, 6Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, 7Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan
1Department of Medical Imaging and Radiological Sciences, and Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan, 2School of Medicine, Chung Shan Medical University, Taichung, Taiwan, 3Department of Pediatrics, Chung Shan Medical University Hospital, Taichung, Taiwan, 4Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, 5Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan, 6Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, 7Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan
GTA and NBS analysis provided better local segregation but worse global integration of the structural network (regular-like network) in TSC patients with intellectual disability, seizure, and higher Neurological Severity Score.
Fig. 1 The NBS result showed the disrupted subnetwork in the TSC patients with intellectual disability compared with who have normal intelligence (ID < normal).
Fig. 2 The NBS result showed the disrupted subnetwork in the TSC patients with intractable seizure of intractable compared with who are none / controlled (active + refractory < none + remission).