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User-driven control increases cortical activity during treadmill walking: An EEG study
- User-driven control increases cortical activity during treadmill walking: An EEG study
- Bulea, Thomas C.; Kim, Jonghyun; Damiano, Diane L.; Stanley, Christoper; Park, Hyung-Soon
- DGIST Authors
- Kim, Jonghyun
- Issue Date
- 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2111-2114
- Article Type
- Conference Paper
- Treadmills provide a safe and efficient method for gait rehabilitation but treadmill based training paradigms have not been shown to create superior results when compared with traditional physical therapy methods such as overground training. One explanation for this may be that walking at a constant, fixed speed requires little mental engagement from the user, which has been postulated as a key factor in the success of motor learning. To increase mental engagement, we developed a user-driven treadmill control scheme. In this paper we use electroencephalography (EEG) to compare cortical activity during user-driven (active) walking with activity on a normal (passive) treadmill in nine healthy subjects. We used independent component analysis (ICA) to isolate brain activity from artifactual components. We fit equivalent dipole sources to each brain component and clustered these across subjects. Our analysis revealed that relative to the passive treadmill, active walking resulted in statistically significant decreases in spectral power, i.e. desynchronization, in the anterior cingulate, sensorimotor cortices, and posterior parietal lobe of the cortex. These results indicate that user-driven treadmills more fully engage the motor cortex and therefore could facilitate better training outcomes than a traditional treadmill. © 2014 IEEE.
- Institute of Electrical and Electronics Engineers Inc.
- Related Researcher
Kim, Jong Hyun
REL(Rehabilitation Engineering Laboratory)
Rehabilitation robotics; Biomedical robotics; Telerobotics; Haptic devices
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- Department of Robotics EngineeringREL(Rehabilitation Engineering Laboratory)2. Conference Papers
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