NER 2011 Paper Abstract


Paper ThDT1.5

Ying, Sarah (Johns Hopkins University School of Medicine), Newman, Geoffrey (Johns Hopkins University), Choi, Young-Seok (Johns Hopkins University School of medicine), Kim, Hyoung-Nam (Pusan National University), Presacco, Alessandro (Johns Hopkins University School of Medicine), Kothare, Mayuresh (Lehigh University), Thakor, Nitish (Johns Hopkins University)

Cerebellar Ataxia Patients Are Able to Use Motor Imagery to Modulate Mu-Band Power in a Pilot Study of EEG-Based Brain-Computer Interface Control

Scheduled for presentation during the Poster Session "Poster I: Clinical Neural Engineering" (ThDT1), Thursday, April 28, 2011, 15:00−16:30, Room T1

5th International IEEE EMBS Conference on Neural Engineering, April 27 - May 1, 2011, Cancun, Mexico

This information is tentative and subject to change. Compiled on July 15, 2018

Keywords Clinical Neural Engineering - Neurological Disorders & Neurophyiology, Brain-Computer Interfaces, Neural Signal Processing and Modeling


Cerebellar ataxia is a steadily progressive neurodegenerative disease associated with loss of motor control, leaving patients unable to walk, talk, or perform activities of daily living. Direct motor instruction in cerebellar ataxia patients has limited effectiveness, presumably because an inappropriate closed-loop cerebellar response to the inevitable observed error confounds motor learning mechanisms. However, open-loop reinforcement of motor control programs may hold promise as a technique to improve motor performance. Recent studies have validated the age-old technique of employing motor imagery training (mental rehearsal of a movement) to boost motor performance in athletes, much as a champion downhill skier visualizes the course prior to embarking on a run. Could the use of EEG-based BCI provide advanced biofeedback to improve motor imagery and provide a “backdoor” to improving motor performance in ataxia patients? In order to determine the feasibility of using EEG-based BCI control in this population, we compare the ability to modulate mu-band power (8-12 Hz) by performing a cued motor imagery task in an ataxia patient and healthy control.



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