| Project/Area Number |
07680714
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Biophysics
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| Research Institution | Gifu University |
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Principal Investigator |
KUWATA Kazuo Gifu University School of Medicine, Assistant Professor, 医学部, 助教授 (00170142)
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| Co-Investigator(Kenkyū-buntansha) |
NAKAMURA Koji Gifu University, School of Medicine, Assistant, 医学部, 助手 (70242724)
ERA Seiichi Gifu University, School of Medicine, Professor, 医学部, 教授 (30152002)
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| Project Period (FY) |
1995 – 1997
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| Project Status |
Completed (Fiscal Year 1997)
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| Budget Amount *help |
¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 1997: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1996: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 1995: ¥1,100,000 (Direct Cost: ¥1,100,000)
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| Keywords | MRI / MTC / BOLD effect / task sequence / brain function / fMRI / recognition / will / EPI / 認知 / 迷走神経 / 脳機能イメージング / 水和 |
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| Research Abstract |
Transient magnetization transfer phenomena was theoretically formulated and analyzed in order for the clinical application of MTC to detect the brain function directly. It was found to be possible to analyze the transient MTC effect by assuming the pseudo-steady state in MTC explicitly incorporating the T_1 discrimination effect. Acquisition parameters in MTC imaging sequence was optimized using the simulation of the theoretical formalism. A fortran program was coded to extract the relevant relaxation parameters from the off-resonance dispersion curve using the non-linear curve fitting procedure. Currently we are applying this technique to detect the brain activation during various tasks in EPI image sequence where MTC contribution, which reflects neuronal excitation directly, would be superimposed on the BOLD effect.
On the other hand, we designed a new mutli-dimensional task sequence by which we can separate multiple tasks and their correlation simultaneously by a multiple frequency task labeling technique. We are currently applying this technique to detect various brain functions, such as numerical calculation, stereopsis, sentence recognition etc. We have detected an activation related to 'willingness' up to now.
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