• DocumentCode
    1833450
  • 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
  • fYear
    2015
  • fDate
    7-11 July 2015
  • Firstpage
    437
  • Lastpage
    440
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2015 IEEE International Conference on
  • Conference_Location
    Busan
  • Type

    conf

  • DOI
    10.1109/AIM.2015.7222572
  • Filename
    7222572