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User-driven control increases cortical activity during treadmill walking: An EEG study

Title
User-driven control increases cortical activity during treadmill walking: An EEG study
Authors
Bulea, Thomas C.Kim, JonghyunDamiano, Diane L.Stanley, ChristoperPark, Hyung-Soon
DGIST Authors
Kim, Jonghyun
Issue Date
2014
Citation
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2111-2114
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
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.
URI
http://hdl.handle.net/20.500.11750/3782
DOI
10.1109/EMBC.2014.6944033
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Kim, Jong Hyun REL(Rehabilitation Engineering Laboratory)
  • Research Interests Rehabilitation robotics; Biomedical robotics; Telerobotics; Haptic devices
Files:
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Collection:
Robotics EngineeringETC2. Conference Papers


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