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2005-05-25: Human SCINT Seminar (4)
Poster Mihoko Otake  Registed 2005-12-25 22:25 (1215 hits)

Date: 2005.5.25 (Wed) 13:00-14:15
Place: General Research Building, Room 663
Speaker: Yasushi Naruse
Title: Understandings and applications of Electroencepharography
Keywords: EEG, MEG, alpha rhythm, evoked response

Affiliation: Department of Complexity Science and Engineerging
Graduate School of Frontier Sciences
Position: Graduate Student
Adviser: Ayumu Matani, Laboratory for Biological Complex Systems
Disciplines: Brain Science
Societies and Conferences: Japan Biomagnetism and Bioelectromagnetics Society, The Society of Instrument and Control Engineers, The Vision Society of Japan, The Society for Neuroscience

Bibliography: Yasushi Naruse, Understandings and applications of Electroencepharography, Human Science Integration Seminar Abstracts, No. 4, pp. 1, 2005.
(Please use this bibliography when you cite this abstract.)

Electroencephalography (EEG) and magnetoencephalography (MEG) have been applied to disease diagnoses and studies for neuroscience. However, some parts of generation mechanism of EEG/MEG are unknown. In the first half of this presentation, we overviewed what is known and what is unknown about EEG/MEG generation. Although the fact that postsynaptic potentials cause EEG/MEG in a single neuron was clarified, what kind of neural networks generate EEG/MEG is unknown. In the later half of the presentation, we talked about brain computer interface (BCI). BCI systems provide a new non-muscular channel for sending messages and commands to the external world. BCI systems are realized using visual evoked potentials, auditory evoked potentials, slow cortical potentials, event-related potentials, or event-related synchronizations and event-related desynchronizations of mu and beta rhythms. Present-day BCIs have maximum information transfer rates ≤ 55 bits/min. With this capacity, they can provide basic communication and control functions (e.g. environmental controls, simple word processing). In order to realize this capacity, a subject must undergo a heavy training. A BCI system with a high transfer rate and a light training is required.

References: (Missing items are literatures in Japanese)
[3] J.D.Frost: Physiological basis of normal EEG rhythms, G.C. Lairy ed., Handbook of Electroencephalography and Clinical Neurophysiology, Elsevier, Amsterdam, 150-159, 1976 Vision Res., 42:301–309
[4] Y.C.Oada, J.Wu & S. Kyuhou: Genesis of MEG signals in a mammalian CNS structure, Electroenceph clin Neurophysiol, 103,474-485,1997
[5] M.H¨am¨al¨ainen, R. Hari, R.J.Ilmoniemi, J.Knuutila & V. Lounasmaa: Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain, Reviews of Modern Physics, 65,413-497,1993
[6] B. H. Jansen & M. E. Brandt: The effect of the phase of prestimulus alpha activity on the averaged visual evoked response. Electroenceph clin Neurophysiol, 80, 241-250, 1991
[7] R. J. Barry, J. A. Rushby, S. J. Johnstone, A. R. Clarke, R. J. Croft & C. A. Lawrence: Event-related potentials in the auditory oddball as a function of EEG alpha phase at stimulus onset. Clin Neurophysiol, 115, 2593-2601, 2004
[8] E. Bas¸ar: Brain Function and Oscillations I. Springer, Berlin, 1998
[9] S. Makeig, M. Westerfield, T.-P. Jung, S. Enghoff, J. Townsend, E. Courchesne & T. J. Sejnowski: Dynamic Brain Sources of Visual Evoked Responses. Science, 295, 690-694, 2002
[10] V. M¨akinen, H. Tiitinen & P. May: Auditory event-related responses are generated independently of ongoing brain activity. NeuroImage, 24, 961-968, 2005
[11] http://www.bfl.co.jp/reserch-top/studytop.htm
[12] J.R.Wolpaw, N.Birbaumer, D.J.McFarland, G.Pfurtscheller & T.M.Vaughan: Brain-computer interfaces for communication and control, Clin Neurophysiol, 113, 767-791,2002
[13] E.E.Sutter: The brain response interface: communication through visually-induced electrical brain responses, J Microcomput Appl, 15, 31-45, 1992
[15] A.K¨ubler, B. Kotchoubey, J.Kaiser, J.R.Wolpaw & N.Birbaumer: Brain-computer communication: unlock the locked-in, Psychol Bull, 127, 358-375,2001
[16] E.Donchin, K.M.Spencer & R.Wijesinghe: The mental prosthesis: assessing the speed of a P300-based brain-computer interface, IEEE Trans Rehabil Eng, 8, 174- 179,2000
[17] J.R.Wolpaw & D.J.McFarland: Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans, PNAS, 101, 17849-
17854, 2004
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