[2P] 71 Cerebrovascular Disease

[2P-349] Functional Connectivity Associated with Severe Upper Limb Impairment in Resting-state Electroencephalography Among Chronic Stroke Survivors: A Machine Learning Approaches

Ji-Yoon Lee^1,2, Han Jeong Hwang^3,4, Miseon Shim^3,5, Won Kee Chang¹, Hee-Mun Cho¹, Ji Soo Choi¹, Hyun Ji Kim¹, Nam-Jong Paik¹, *Won-Seok Kim¹ (1. Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea, 2. Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea, 3. Department of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea, 4. Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Sejong, Republic of Korea, 5. Institute of Industrial Technology, Korea University, Sejong, Republic of Korea)

Keywords:Stroke, Motor Impairment, Functional Connectivity, Machine Learning