Time-Phase Identification of Human Cognitive Process by Evoked Potential Analysis
Project/Area Number |
59460119
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Research Category |
Grant-in-Aid for General Scientific Research (B)
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Allocation Type | Single-year Grants |
Research Field |
電子機器工学
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Research Institution | Science University of Tokyo |
Principal Investigator |
UTSUNOMIYA Toshio Science University of Tokyo, 理工学部, 教授 (10010620)
|
Co-Investigator(Kenkyū-buntansha) |
後藤 平 東京警察病院, 内科, 内科部長
ITOH Susumu Science University of Tokyo, 理工学部, 講師 (00147513)
SEKINE Keitaro Science University of Tokyo, 理工学部, 教授 (20084444)
GOTOH Hitoshi Tokyo Metropolitan Hospital
|
Project Period (FY) |
1984 – 1986
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Project Status |
Completed (Fiscal Year 1986)
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Budget Amount *help |
¥8,300,000 (Direct Cost: ¥8,300,000)
Fiscal Year 1986: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 1985: ¥2,500,000 (Direct Cost: ¥2,500,000)
Fiscal Year 1984: ¥5,200,000 (Direct Cost: ¥5,200,000)
|
Keywords | Cognition / Visual Evoked Potential / Aural Evoked Potential / Event Related Potential / Electroencephalography / Topograph / Principal Component Analysis / 判別分析 |
Research Abstract |
A methodology to observe the human brain activity by statistical analysis of evoked potentials is studied. Our proposing method is to discriminate statistically the two groups of visually evoked potentials (VEP) for the character and non-character stimulations, thus eliminating the evoked potential components corresponding to other than cognition. The same scheme is applied also to the aural evoked potentials (AEP). The instantaneous power spectrum components are used for the discriminant analysis, because we have found that fairly high frequency components of the evoked potentials above 30 Hz well contribute to the discrimination. By this method the time-phase of cognitive process in the human brain can be identified temporally and topologically. The estimation of frequency spectra based on the auto-regression model using 128 ms data-strips shifting 32 ms latency intervals, showed satisfactory results. 40 data for each group are enough for the discrimination. General figure obtained by our experiment is, at the earlier latencies of 30 to 60 ms, the first discrimination occurs in the left brain, next, at latencies of 90 to 160 ms, the discrimination moves from the left to the right brain. Further, at larger latencies of 300 to 400 ms, another discrimination is observed. The dominant frequency is 45 to 55 Hz. Also, individual differences are able to be pointed out. The proposed method is useful to construct the dynamic topography of human brain activity. The non-invasive and the objective naturesare also featured.
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Report
(1 results)
Research Products
(4 results)