Title :
Neuro-feedback using real-time near infrared spectroscopy enhances brain plasticity during treadmill walking: A pilot study
Author :
Seung Hyun Lee ; Gwang Hee Jang ; Sang Hyeon Jin ; Jinung An
Author_Institution :
Robot. Res. Div., DGIST, Daegu, South Korea
Abstract :
Despite of the findings that motor imagery and motor execution are supposed to share common neural networks, previous studies using motor imagery based rehabilitation have revealed inconsistent results. In this study, we implemented a real-time neuro-feedback system based on near infrared spectroscopy (NIRS), and investigate the effect of neuro-feedback for gait rehabilitation. Four healthy volunteers performed individually given tasks. In the non-feedback task, subjects were performed treadmill walking without feedback. In the feedback task was used in subjects to evaluate whether real-time cortical oxygenated hemoglobin signal feedback during treadmill walking task. Results demonstrated that neuro-feedback induced significantly greater activation of the premotor area and supplementary motor area compare with non-feedback treadmill walking. This result suggested the feasibility of NIRS based real-time neuro-feedback system on gait rehabilitation.
Keywords :
bioelectric potentials; biomedical optical imaging; brain; feedback; gait analysis; infrared spectra; medical image processing; molecular biophysics; neurophysiology; patient rehabilitation; proteins; NIRS based real-time neuro-feedback system; brain plasticity enhancement; gait rehabilitation; motor imagery based rehabilitation; neural networks; real-time cortical oxygenated hemoglobin signal feedback; real-time near infrared spectroscopy; treadmill walking task; Biological neural networks; Conferences; Legged locomotion; Neurofeedback; Real-time systems; Spectroscopy; Training;
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2015 IEEE International Conference on
Conference_Location :
Busan
DOI :
10.1109/AIM.2015.7222572