Minji Lee1, Chang-Hyun Park2, Chang-Hwan Im3, Jung-Hoon Kim3, Gyu-Hyun Kwon4, Laehyun Kim4, Won Hyuk Chang2, Yun-Hee Kim1,2. 1. Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Irwon-dong, Gangnam-gu, Seoul, Republic of Korea. 2. Department of Physical and Rehabilitation Medicine, Center for Prevention & Rehabilitation, Heart Vascular and Stroke, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-dong, Gangnam-gu, Seoul, Republic of Korea. 3. Department of Biomedical Engineering, Hanyang University, Haengdang 1-dong, Seongdong-gu, Seoul, Republic of Korea. 4. Center for Bionics, Korea Institute of Science and Technology (KIST), Wolgok 2-dong, Seongbuk-gu, Seoul, Republic of Korea.
Abstract
PURPOSE: In brain-computer interfaces (BCIs), electrical brain signals during motor imagery are utilized as commands connecting the brain to a computer. To use BCI in patients with stroke, unique brain signal changes should be characterized during motor imagery process. This study aimed to examine the trial-dependent motor-imagery-related activities in stroke patients. METHODS: During the recording of electroencephalography (EEG) signals, 12 chronic stroke patients and 11 age-matched healthy controls performed motor imagery finger tapping at 1.3 sec intervals. Trial-dependent brain signal changes were assessed by analysis of the mu and beta bands. RESULTS: Neuronal activity in healthy controls was observed over bilateral hemispheres at the mu and beta bands regardless of changes in the trials, whereas neuronal activity in stroke patients was mainly seen over the ipsilesional hemisphere at the beta band. With progression to repeated trials, healthy controls displayed a decrease in cortical activity in the contralateral hemisphere at the mu band and in bilateral hemispheres at the beta band. In contrast, stroke patients showed a decreasing trend in cortical activity only over the ipsilesional hemisphere at the beta band. CONCLUSIONS: Trial-dependent changes during motor imagery learning presented in a different manner in stroke patients. Understanding motor imagery learning in stroke patients is crucial for enhancing the effectiveness of motor-imagery-based BCIs.
PURPOSE: In brain-computer interfaces (BCIs), electrical brain signals during motor imagery are utilized as commands connecting the brain to a computer. To use BCI in patients with stroke, unique brain signal changes should be characterized during motor imagery process. This study aimed to examine the trial-dependent motor-imagery-related activities in strokepatients. METHODS: During the recording of electroencephalography (EEG) signals, 12 chronic strokepatients and 11 age-matched healthy controls performed motor imagery finger tapping at 1.3 sec intervals. Trial-dependent brain signal changes were assessed by analysis of the mu and beta bands. RESULTS: Neuronal activity in healthy controls was observed over bilateral hemispheres at the mu and beta bands regardless of changes in the trials, whereas neuronal activity in strokepatients was mainly seen over the ipsilesional hemisphere at the beta band. With progression to repeated trials, healthy controls displayed a decrease in cortical activity in the contralateral hemisphere at the mu band and in bilateral hemispheres at the beta band. In contrast, strokepatients showed a decreasing trend in cortical activity only over the ipsilesional hemisphere at the beta band. CONCLUSIONS: Trial-dependent changes during motor imagery learning presented in a different manner in strokepatients. Understanding motor imagery learning in strokepatients is crucial for enhancing the effectiveness of motor-imagery-based BCIs.
Entities:
Keywords:
Motor imagery; SPM; brain-computer interfaces; electroencephalography; stroke