This article and any supplementary material should be cited as follows: Goodman RN, Rietschel JC, Roy A, Jung BC, Diaz J, Macko RF, Forrester LW. Increased.

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Presentation transcript:

This article and any supplementary material should be cited as follows: Goodman RN, Rietschel JC, Roy A, Jung BC, Diaz J, Macko RF, Forrester LW. Increased reward in ankle robotics training enhances motor control and cortical efficiency in stroke. J Rehabil Res Dev. 2014;51(2):213–28. Slideshow Project DOI: /JRRD JSP Increased reward in ankle robotics training enhances motor control and cortical efficiency in stroke Ronald N. Goodman, PhD; Jeremy C. Rietschel, PhD; Anindo Roy, PhD; Brian C. Jung, BS; Jason Diaz, MS; Richard F. Macko, MD; Larry W. Forrester, PhD

This article and any supplementary material should be cited as follows: Goodman RN, Rietschel JC, Roy A, Jung BC, Diaz J, Macko RF, Forrester LW. Increased reward in ankle robotics training enhances motor control and cortical efficiency in stroke. J Rehabil Res Dev. 2014;51(2):213–28. Slideshow Project DOI: /JRRD JSP Aim – Use impedance-controlled ankle robot (anklebot) to determine whether lower-limb robotic training would be enhanced with overt rewards and augmented feedback. Relevance – Robotics is rapidly emerging as viable approach to enhanced motor recovery after disabling stroke. – No prior studies have established explicitly whether reward improves rate/efficacy of robotics-assisted rehabilitation or produces neurophysiological adaptations associated with motor learning.

This article and any supplementary material should be cited as follows: Goodman RN, Rietschel JC, Roy A, Jung BC, Diaz J, Macko RF, Forrester LW. Increased reward in ankle robotics training enhances motor control and cortical efficiency in stroke. J Rehabil Res Dev. 2014;51(2):213–28. Slideshow Project DOI: /JRRD JSP Method Clinical pilot (3 wk, 9 sessions): – 10 people with chronic hemiparetic stroke. Randomly assigned to high reward or low reward conditions. Training sessions (1 h): – Seated video game using paretic ankle to hit moving targets with anklebot providing assistance only as needed. Assessments: – Paretic ankle motor control. – Learning curves. – Electroencephalography (EEG) coherence and spectral power during unassisted trials. – Gait function.

This article and any supplementary material should be cited as follows: Goodman RN, Rietschel JC, Roy A, Jung BC, Diaz J, Macko RF, Forrester LW. Increased reward in ankle robotics training enhances motor control and cortical efficiency in stroke. J Rehabil Res Dev. 2014;51(2):213–28. Slideshow Project DOI: /JRRD JSP Results Both groups: – Changes in EEG. High reward group: – Faster learning curves. – Smoother movements. – Reduced contralesional-frontoparietal coherence. – Reduced left-temporal spectral power. – Increased nonparetic step length.

This article and any supplementary material should be cited as follows: Goodman RN, Rietschel JC, Roy A, Jung BC, Diaz J, Macko RF, Forrester LW. Increased reward in ankle robotics training enhances motor control and cortical efficiency in stroke. J Rehabil Res Dev. 2014;51(2):213–28. Slideshow Project DOI: /JRRD JSP Conclusion Combining explicit rewards with novel anklebot training may accelerate motor learning for restoring mobility.