| 研究課題/領域番号 |
23K14813
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分52030:精神神経科学関連
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| 研究機関 | 千葉大学 |
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研究代表者 |
BhusalChhatkuli Ritu 千葉大学, 子どものこころの発達教育研究センター, 特任助教 (50836591)
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| 研究期間 (年度) |
2023-04-01 – 2026-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
4,680千円 (直接経費: 3,600千円、間接経費: 1,080千円)
2025年度: 1,040千円 (直接経費: 800千円、間接経費: 240千円)
2024年度: 1,950千円 (直接経費: 1,500千円、間接経費: 450千円)
2023年度: 1,690千円 (直接経費: 1,300千円、間接経費: 390千円)
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| キーワード | Anorexia / Classification / MRI / Biomarkers / Machine Learning / Machine learning / biomarkers |
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| 研究開始時の研究の概要 |
We collect large number of MR datasets from healthy volunteers and anorexia patients in this multicenter study with an aim to classify patients from the healthy controls and its subtypes, by using different machine learning techniques to identify the neuroanatomical biomarker of anorexia.
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| 研究実績の概要 |
The purpose of this research is to classify anorexia nervosa (AN) from healthy controls using structural MR images and to identify the neuro anatomical biomarkers of anorexia. The first step of research is completed with successful classification using machine learning algorithms such as gradient boosting and Boruta with random forest. Results have been presented in the cognitive behavioral therapy conference (EABCT 2023, Antalya ,Turkey).A research paper has been submitted and is under review.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
Initial stage of the research went smoothly with significant results already submitted to the scientific journal.
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| 今後の研究の推進方策 |
In future, once the paper is accepted, second phase of the research will start with more number of patient data set, and pre and post MR images for the prediction of treatment response. Also, classification of other eating and psychological disorders such as Bulimia Nervosa, Obsessive compulsive disorders will be analyzed.
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