Browse > Article
http://dx.doi.org/10.5391/JKIIS.2014.24.6.609

Motor Imagery based Brain-Computer Interface for Cerebellar Ataxia  

Choi, Young-Seok (Department of Electronic Engineering, Gangneung-Wonju National University)
Shin, Hyun-Chool (School of Electronic Engineering, Soongsil University)
Ying, Sarah H. (Johns Hopkins University School of Medicine, Dept. Radiology)
Newman, Geoffrey I. (Johns Hopkins University School of Medicine, Dept. Biomedical Eng.)
Thakor, Nitish (Johns Hopkins University School of Medicine, Dept. Biomedical Eng.)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.24, no.6, 2014 , pp. 609-614 More about this Journal
Abstract
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 cerebella ataxia patients has limited effectiveness, presumably because an inappropriate closed-loop cerebellar response to the inevitable observed error confounds motor learning mechanisms. 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.
Keywords
3D Reconstruction; Optical Flow; Kalman Filter; Mirror Neuron System; Gesture Recognition.;
Citations & Related Records
연도 인용수 순위
  • Reference
1 C. Guger, G. Edlinger, W. Harkam, I. Niedermayer, G. Pfurtscheller, "How many people are able to operate an EEG-based brain-computer interface (BCI)?", IEEE Trans Neural Systems and Rehabilitation Engineering, vol. 11, no. 2 pp. 145-147, June 2003.   DOI   ScienceOn
2 D. J. McFarland, L. M. McCane, S. V. David, J. R. Wolpaw, "Spatial filter selection for EEG-based communication", Electroencephalography Clinical Neurophysiology, vol. 103, pp. 386-394, 1997.   DOI   ScienceOn
3 F. R. Brown, "Degenerative cerebellar ataxias", Neurology, vol. 9, pp.799-805, 1959.   DOI
4 L. A. Liversedge, V. Emery, "Electroencephalographic changes in cerebellar degenerative lesions", Journal of Neurology and Neurosurgery Psychiatry, vol. 24, no. 4, pp. 326-330, 1961.   DOI
5 L. Schols, C. Linnemann, C. Globas, "Electrophysiology in spinocerebellar ataxias: Spread of disease and characteristic findings", The cerebellum, pp. 198-203, 2008.
6 M. Arai, H. Tanaka, R. D. Pascual-Marqui, K. Hirata, "Reduced brain electric activities of frontal lobe in cortical cerebellar atrophy", Clinical Neurophysiology, vol. 114, no. 4, pp.740-747, 2003.   DOI
7 N. L. Zasorin, R. W. Baloh, L. B. Myers, "Acetazolamide-responsive episodic ataxia syndrome", Neurology, vol. 33, pp. 1212-1214, 1983.   DOI
8 J. S. Kwon, B. F. O'Donnell, G. V. Wallenstein, R. W. Greene, Y. Hirayasu, P. G. Nestor, M. E. Hasselmo, G. F. Potts, M. E. Shenton, R. W. McCarley, "Gamma frequency-range abnormalities to auditory stimulation in schizophrenia", Archives of General Psychiatry, vol. 56, no. 11, pp. 1001-1005, Nov. 1999.   DOI   ScienceOn
9 B. A. Clementz, M. A. Geyer, D. L., Braff, "P50 Suppression among schizophrenia and normal comparison subjects: A methodological analysis", Biological Psychiatry, vol. 41, no. 10, pp. 1035-1044, May 1997.   DOI
10 F. Battaglia, A. Quartarone, M. F. Ghilardia, R. Dattola,S. Bagnato, V. Rizzo, L. Morgante, P. Girlanda, "Unilateral cerebellar stroke disrupts movement preparation and motor imagery", Clinical Neurophysiology, vol. 117, no. 5, pp. 1009-1016, 2006.   DOI
11 B. Gonzalez, M. Rodriquez, C. Ramirez, M. Sabate, "Disturbance of Motor Imagery After Cerebellar Stroke". Behavioral Neuroscience, vol. 119, no. 2, pp. 622-626 Apr. 2005.   DOI
12 S. H. Ying, S. I. Choi, S. L. Perlman, R. W. Baloh, D. S. Zee, A. W. Toga, "Pontine and cerebellar atrophy correlate with clinical disability in SCA2", Neurology, vol. 66, no. 3, pp. 424-42, Feb. 2006.   DOI
13 A. Chatterjee, V. Aggarwal, A. Ramos, S. Acharya, N. V. Thakor, "A brain-computer interface with vibrotactile biofeedback for haptic information." Journal of NeuroEngineering and Rehabilitation, vol. 4, no. 1, pp. 40, Oct. 2007.   DOI
14 R. Bos, S. deWaele, P. Broersen, "Autoregressive spectral estimation by application of the Burg algorithm to irregularly sampled data", IEEE Transactions on Instrumentation and Measurement. vol. 51, no. 6, pp. 1289-1294, Dec. 2002.   DOI