Mathematic statistical analyses of relationship between severity of neurological symptom and MRI measurements of white matter injury
| Project/Area Number |
22591318
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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 |
Radiation science
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| Research Institution | Niigata University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
AKAZAWA Kouhei 新潟大学, 医歯学総合病院, 教授 (10175771)
ONODERA Osamu 新潟大学, 脳研究所, 教授 (20303167)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | 核磁気共鳴画像(MRI) / 大脳白質 / 神経症状 / 数理統計学 / シミュレーション / 磁気共鳴スペクトロスコピー / 一酸化炭素中毒 / 白質脳症 / ＭＲＳ / 拡散テンソルイメージング / ＤＴＩ / 脳機能解析 / 遅発性脳症 / 核磁気共鳴画像 / MRI / MRS / アルゴリズム / プログラミング / 神経軸索 |
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| Research Abstract |
The purposes of this project are: 1) to develop a computer-based method of characterizing white matter injury; 2) to develop a method of analyzing white matter injury by using modern MR techniques; and 3) to integrate these two methods mathematically and statistically. This report overviews the results of this project as follows. Firstly, we proposed a mathematic statistical model of growth cone behavior that employs multiple sensors designed for simulating the signal transduction system. Secondly, we found biomarkers of disease severity in multiple system atrophy of cerebellar type (MSA-C) by imaging disease specific regions using proton magnetic resonance spectroscopy (1H-MRS) on a 3.0 T system. Finally, we analyzed relationship between severity of clinical symptoms of a patient with white matter injury and MRI measurements of the lesions.
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Report
(4 results)
Research Products
(11 results)
