| Project/Area Number |
07557241
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 試験 |
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| Research Field |
Psychiatric science
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| Research Institution | Tokyo Medical and Dental University School of Medicine |
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Principal Investigator |
TORU Michio Tokyo Medical and Dental University, M.D.Ph.D., 医学部, 教授 (20013972)
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| Co-Investigator(Kenkyū-buntansha) |
OHTA Katsuya Tokyo Medical and Dental University, M.D., 脳機能研究所, 助手 (20251514)
MATSUSHIMA Eisuke Tokyo Medical and Dental University, M.D..Ph.D., 脳機能研究所, 助手 (50242186)
OKUBO Yoshiro Tokyo Medical and Dental University, M.D..Ph.D., 脳機能研究所, 講師 (20213663)
武者 利光 東京医科歯科大学, 脳機能研究所, 所長
TOSHIMITSU Musya Tokyo Medical and Dental University, Ph.D.
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| Project Period (FY) |
1995 – 1996
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| Project Status |
Completed (Fiscal Year 1996)
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| Budget Amount *help |
¥3,200,000 (Direct Cost: ¥3,200,000)
Fiscal Year 1996: ¥3,200,000 (Direct Cost: ¥3,200,000)
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| Keywords | Dipole tracing / EEG / MRI / Corticogram / MRI |
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| Research Abstract |
1) Development of a multi-channel EEGs measuring method The methods and devices that digitalize EEGs of 64 channels using a computer were developed. Furthermore, we have developed a special cap that fits many electrods on scalp.
2) Development of algorithm that reconstruct 3D-brain structure using digitized 3D-MRI data.
Algorithm that extracts the scalp, cranium, cerebrospinal fluid cavity, cerebrum form 3D-MRI and reconstructs a 3D wire frame model was developed.
3) EEG analysis on mental disorders
1. EEG study on schizophrenic patients : A comparison between neuroleptic-naive state and after treatment was performed.
2. Quantitative EEG correlates of normal aging in the elderly were studied.
3. Estimation of epileptic source generator using dipole tracing method and 3D-MRI was performed.
4. Ethanol-induced alternations in EEG was investigated as a biological marker for alcoholism.
4) Development of algorithm that estimates spatially spread cerebral activity
We have developed 'Corticograma', that is a method to estimate the electrical potential of a cerebral surface from the electrical potential on the scalp. Based on this method, a electrical potential distribution of a cerebral surface was estimated based on a potential distribution of the scalp using Scalp-Skull-Cortex Model (SSB Model). The information in Corticogram increases according to the increase in the number of the electrodes attached on the scalp. The validity and error of estimation of Corticogram was evaluated.
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