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Comparison of Cortical Effects for Feedback on Motor Imagery-based Brain-computer Interface using Event-related Design: EEG-fNIRS Study
- Comparison of Cortical Effects for Feedback on Motor Imagery-based Brain-computer Interface using Event-related Design: EEG-fNIRS Study
- Translated Title
- 사건 관련 디자인을 이용한 운동 상상 기반 뇌-컴퓨터 인터페이스에서 피드백의 피질 효과 비교: EEG-fNIRS 연구
- Hojun Jeong
- DGIST Authors
- Jeong, Hojun; Choi, Ji-woong; Kim, Jonghyun
- Ji-woong choi
- Issue Date
- Available Date
- Degree Date
- 피드백, 뇌-컴퓨터 인터페이스, 신경재활, 뇌 활성화, 사건 관련 디자인
- While most studies believed that false feedback of motor imagery-based brain computer interfaces (MI-BCI) is crucial for inducing brain plasticity, few studies demonstrated the effect of false feedback. Moreover, there is no study that figure out relationship between false feedback and brain activation which can induce brain plasticity.
In this study, we examined the cortical effect of MI-BCI with different feedback compared to conventional motor learning method, passive training and active training, using electroencephalogram and function-al near-infrared spectroscopy simultaneously.
By comparing paradigm with different feedback, the effect of false feedback can be investigated indirectly. In addition, by comparing each type of trials with and without a false feedback in last period, the effect of false feedback can be also investigated directly.
According to the experimental results, which almost subjects cannot induce much higher cortical activation in paradigm with false feedback than paradigm without false feedback, we can concluded that false feedback might be disrupted for concentrating their own motor imagery tasks and overall results demonstrate that reduction of false feedback may be important for inducing subjects’ higher cortical activation.
- Table Of Contents
- Ⅰ. Introduction 1
1.1 Motor learning methods 1
1.2 Motor imagery-based brain-computer interface (MI-BCI) 2
1.3 Previous study for feedback 2
1.4 Event-related design 3
1.5 Goal of this study 4
Ⅱ. Methods 5
2.1 Participants 7
2.2 Experimental protocol 7
2.3 Data acquisition 8
2.4 Data analysis 8
Ⅲ. Results 11
3.1 Inter-paradigm comparison analysis result 11
3.2 Intra-paradigm comparison analysis result 16
3.2.1 Inter-trial comparison analysis result 16
3.2.2 Inter-feedback comparison analysis result 17
3.3 Comparison analysis results in stroke survivors 18
Ⅳ. Discussion 20
4.1 Limitation 21
- Robotics Engineering
- Related Researcher
CSP(Communication and Signal Processing) Lab
Communication System; Signal Processing; Communication Circuit Design; 생체 신호 통신 및 신호 처리; 뇌-기계 인터페이스(BMI); 차세대 교차계층 통신 및 신호 처리; 5G 모바일 통신
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- Department of Robotics EngineeringThesesMaster
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