Abstract #3268

Evaluation of brain functional connectome in tuberous sclerosis complex with neuropsychological disorders using resting-state fMRI

Jun-Cheng Weng^1,2, Tzu-Yi Chuang³, Chao-Yu Shen^3,4, and Jeng-Dau Tasi⁵

¹Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan, ²Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, ³Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan, ⁴Institute of Medicine and Department of Medical Imaging, Chung Shan Medical University and Hospital, Taichung, Taiwan, ⁵School of Medicine and Department of Pediatrics, Chung Shan Medical University and Hospital, Taichung, Taiwan

We aimed to use resting-state fMRI to provide the first findings on disrupted functional brain networks in tuberous sclerosis complex (TSC) patients with graph theoretical analysis (GTA) and network-based statistic (NBS) analysis. We found several topological parameters including clustering coefficient, local efficiency, transitivity, and modularity in the healthy control were better than those in the TSC patients. One subnetwork showed more edges in the healthy control compared with the TSC, including the connections from the frontal lobe to the parietal lobe. Our findings may help better understand the variable clinical phenotypes of TSC and the underlying physiological mechanisms.

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