Neuro-feedback using real-time near infrared spectroscopy enhances brain plasticity during treadmill walking: A pilot study

Seung Hyun Lee, Gwang Hee Jang, Sang Hyeon Jin, Jinung An

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationAIM 2015 - 2015 IEEE/ASME International Conference on Advanced Intelligent Mechatronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages437-440
Number of pages4
ISBN (Electronic)9781467391078
DOIs
StatePublished - 25 Aug 2015
EventIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2015 - Busan, Korea, Republic of
Duration: 7 Jul 201511 Jul 2015

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2015-August

Conference

ConferenceIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2015
Country/TerritoryKorea, Republic of
CityBusan
Period7/07/1511/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

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