Development of statistical methods for longitudinal brain research
Project/Area Number |
24700286
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Statistical science
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Research Institution | Kyoto University (2013-2015) Kurume University (2012) |
Principal Investigator |
Kawaguchi Atsushi 京都大学, 医学(系)研究科(研究院), 准教授 (60389319)
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Project Period (FY) |
2012-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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Keywords | 脳・神経 / 画像解析 / 統計学 / 高次元複雑データ / 国際情報交換 / 経時測定 / 認知症 / 脳科学 / 生物統計 / アメリカ / 統計数学 / 高次元データ |
Outline of Final Research Achievements |
We developed a two-step dimension-reduction method to analyze high-dimensional and high intra correlational brain imaging data. A simulation study showed more significant advantage for the proposed method comparing with existing methods. We show that the proposed method offers classification functions with feasibility and reasonable prediction accuracy in studies of Alzheimer’s and Parkinson's disease.
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Report
(5 results)
Research Products
(25 results)
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[Journal Article] 2.Different spatial distribution between germinal center B and non-germinal center B primary central nervous system lymphoma revealed by magnetic resonance group analysis.2014
Author(s)
Kinoshita M1, Sasayama T, Narita Y, Yamashita F, Kawaguchi A, Chiba Y, Kagawa N, Tanaka K, Kohmura E, Arita H, Okita Y, Ohno M, Miyakita Y, Shibui S, Hashimoto N, Yoshimine T
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Journal Title
Neuro Oncol
Volume: 16
Issue: 5
Pages: 728-734
DOI
Related Report
Peer Reviewed / Acknowledgement Compliant
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