Motor imagery learning across a sequence of trials in stroke patients
- Motor imagery learning across a sequence of trials in stroke patients
- 김래현; 이민지; 박창현; 임창환; 김정훈; 권규현; 장원혁; 김연희
- Motor imagery; stroke; electroencephalography; brain?computer interfaces; SPM
- Issue Date
- Restorative neurology and neuroscience
- VOL 34, 635-645
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.
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.
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.
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.
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