{"title":"Electroencephalography Based Brain-Computer Interface for Cerebellum Impaired Patients","authors":"Young-Seok Choi","volume":94,"journal":"International Journal of Biomedical and Biological Engineering","pagesStart":719,"pagesEnd":723,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9999563","abstract":"
In healthy humans, the cortical brain rhythm shows
\r\nspecific mu (~6-14 Hz) and beta (~18-24 Hz) band patterns in the
\r\ncases of both real and imaginary motor movements. As cerebellar
\r\nataxia is associated with impairment of precise motor movement
\r\ncontrol as well as motor imagery, ataxia is an ideal model system in
\r\nwhich to study the role of the cerebellocortical circuit in rhythm
\r\ncontrol. We hypothesize that the EEG characteristics of ataxic patients
\r\ndiffer from those of controls during the performance of a
\r\nBrain-Computer Interface (BCI) task. Ataxia and control subjects
\r\nshowed a similar distribution of mu power during cued relaxation.
\r\nDuring cued motor imagery, however, the ataxia group showed
\r\nsignificant spatial distribution of the response, while the control group
\r\nshowed the expected decrease in mu-band power (localized to the
\r\nmotor cortex).<\/p>\r\n","references":"[1] H. A. Teive, \"Spinocerebellar ataxias\u201d, Arg. Neuropsiquiatr., 67 (4)\r\n1133\u20131142, 2009.\r\n[2] X. Wang, H. Wang, \"Spinocerebellar ataxia type 6: Systematic\r\npatho-anatomical study reveals different phylogenetically defined regions\r\nof the cerebellum and neural pathways undergo different evolutions of the\r\ndegenerative process\u201d, Neuropathology, 30 (5) 501\u2013514, 2010.\r\n[3] B. Gonzalez, R. M. Ramirez, M. Sabate, \"Disturbance of Motor Imagery\r\nAfter Cerebellar Stroke\u201d, Behavioral Neurosciences, 119 (2), 622\u2013626,\r\n2005.\r\n[4] D. J. McFarland, M. L. McCane, S. V. David, J. R. Wolpaw, \"Spatial\r\nfilter selection for EEG-based communication. Electroencephalography\u201d,\r\nClini. Neurophysiol., 103(3), 386\u2013394, 1997.\r\n[5] L. J. Trejo, R. Rosipal, B. Matthews, \"Brain-computer interfaces for 1-D\r\nand 2-D cursor control: designs using volitional control of the EEG\r\nspectrum or steady-state visual evoked potentials\u201d, IEEE Trans. Neural\r\nSyst. Rehabil. Eng., 14 (2) 225\u2013229, 2006.\r\n[6] A. Chatterjee, V. Aggarwal, R. Ander, A. Soumyadipta, N. V. Thakor, \"A\r\nbrain-computer interface with vibrotactile biofeedback for haptic\r\ninformation,\u201d J. Neuroeng. Rehail., 4(40), 2007.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 94, 2014"}