2023 Fiscal Year Final Research Report
Multilayer multiblock scoring for functional brain imaging data analysis
| Project/Area Number |
21K11788
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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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| Review Section |
Basic Section 60030:Statistical science-related
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| Research Institution | Saga University |
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Principal Investigator |
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | 脳・神経 / 画像解析 |
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| Outline of Final Research Achievements |
We developed an algorithm to estimate the network of each individual from functional brain images and to calculate a score for disease diagnosis using the connectivity of the individual's brain functions. The software was also developed, and the results of a simulation study and application to brain imaging data from real dementia and healthy subjects showed that the constructed model can be used to predict dementia with a high accuracy.
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| Free Research Field |
生物統計学
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| Academic Significance and Societal Importance of the Research Achievements |
近年，脳科学は学術的にも社会的にも関心が高い．医学では，特に精神神経領域において，疾患の早期発見，病態の客観的評価，疾患サブタイプ分類などの研究が盛んに行われている．推定されたネットワークからアウトカム (病気や健康など) を決定するための予測式を構築することができ，脳の機能的接続性を脳障害の診断をするための有用なバイオマーカーとして利用することを可能とした．
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