2005-05-25: Human SCINT Seminar (4)
Poster Mihoko Otake Registed 2005-12-25 22:25 (1806 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.) 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 |