Functional connectivity associated with severe upper limb impairment in resting-state electroencephalography among chronic stroke survivors: a machine learning approach
Year: 2025
Type: article
Language: en
Topic: EEG and Brain-Computer Interfaces
Authors and affiliations:
raw_author_name: Ji-Yoon Lee
raw_affiliation_strings: Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
raw_author_name: Miseon Shim
raw_affiliation_strings: Department of Artificial Intelligence, Tech University of Korea, Siheung, Republic of Korea
raw_author_name: Won Kee Chang
raw_affiliation_strings: Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
raw_author_name: Hee-Mun Cho
raw_affiliation_strings: Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
raw_author_name: Ji-Soo Choi
raw_affiliation_strings: Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
raw_author_name: Hyunji Kim
raw_affiliation_strings: Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
raw_author_name: Bongwon Suh
raw_affiliation_strings: Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
Department of Intelligence and Information, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
raw_author_name: Nam-Jong Paik
raw_affiliation_strings: Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
raw_author_name: Han-Jeong Hwang
raw_affiliation_strings: Department of Electronics and Information Engineering, Korea University 2511, Sejong-ro, Jochiwon-eup, Sejong-si, 30019, Republic of Korea. hwanghj@korea.ac.kr
Digital Healthcare Center, Sejong Institute of Business and Technology (SIBT), 30019, Sejong, Korea, Republic of (South Korea). hwanghj@korea.ac.kr
Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, 30019, Sejong, Republic of Korea. hwanghj@korea.ac.kr
raw_author_name: Won-Seok Kim
raw_affiliation_strings: Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea. wondol-1@snu.ac.kr
Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea. wondol-1@snu.ac.kr