Classifiers to Predict Conversion from Mild Cognitive Impairment to Dementia by Using Clinical Information and Indices Obtained from Brain Imaging
| Project/Area Number |
23591797
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Radiation science
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| Research Institution | Tokai University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
YOSHII Fumihito 東海大学, 医学部, 教授 (90129726)
IYATOMI Hitoshi 法政大学, 理工学部, 准教授 (10386336)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 認知症 / 軽度認知機能障害 / 識別器 / 画像診断 / 脳血流SPECT / 画像統計解析 / MRI |
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| Research Abstract |
We generated classifiers to predict the conversion from mild cognitive impairment to dementia by using clinical information and indices obtained from brain imaging. They predict whether it converts or not, and when converts. We contrived linear and non-linear classifiers on the basis of supervised learning methodology. Incremental diagnostic value of parameters obtained from imaging and statistical parametric mapping was clarified by comparing performances of classifiers with and without incorporating image-related inputs.
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Report
(4 results)
Research Products
(47 results)
