| Project/Area Number |
06680846
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
Biomedical engineering/Biological material science
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| Research Institution | University of Tokyo |
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Principal Investigator |
ITOH Kenji University of Tokyo, Faculty of Medicine, Assistant Prof, 医学部(医), 助手 (80010106)
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| Co-Investigator(Kenkyū-buntansha) |
KOSHIDA Ichiro Tokyo Institute of Engineering Science, Associate Prof, 工学部, 助教授 (00192055)
FUKUDA Masato University of Tokyo, Faculty of Medicine, Assistant Prof, 医学部(病), 助手 (20221533)
HIRAMATSU Kenichi University of Tokyo, Faculty of Medicine, Assistant Prof, 医学部(病), 助手 (50218814)
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| Project Period (FY) |
1994 – 1995
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| Project Status |
Completed (Fiscal Year 1995)
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| Budget Amount *help |
¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 1995: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 1994: ¥1,300,000 (Direct Cost: ¥1,300,000)
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| Keywords | EEG rhythm / Neural circuits / Alpha wave / Synaptic potential / CSD / Neurotransmitter / Fractal analysis / Eye movements / 誘発電位 |
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| Research Abstract |
We investigated and got following results on the relationship between human cognitive/verbal process and brain rhythmic information.
1.For analyzing generation of cognition-/language-related rhythmic activities based on neurosynaptic circuits, we modeled and simulated neurosynaptic circuits of sensory area-thalamus and hippocampus-septum as bi-directional cortico-subcortical system.
2.For developing a method of time series analysis of single-trial rhythmic information from EEG/MEG,we modified and integrated 2D-spline interpolation and adaptive correlation filter with templates to complete an algorithm of extracting a single-trial rhythmic bursts as well as of estimating source localization to be presented in 3D brain image.
3.For establishing a testing method of brain rhythmic information in cognitive/verbal behavior, we analyzed characteristics of rhythmic structure with fractals etc.in the cognitive and verbal data acquired by EEG/MEG system as well as eyetracker.
4.For invetigating relationships between cognitive/verbal rhythmic information and neurotransmitter/modulator metabolites, we analyzed plasma metabolites as well as brain rhythmic activities during cognitive/verbal tasks to investigate the constructed model.
5.For modeling of rhythmic activities in cognitive/verbal disorders, we developed the circuit model to propose a model of neural information processing explaining the relations among deficits in cognitive/verbal behavior, in neurotransmitter/modulator metabolites and in EEG/MEG as well as eye movements.
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