機能的脳画像解析のための多層マルチブロックスコアリング法の開発

• Project/Area Number: 21K11788
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 60030:Statistical science-related
• Research Institution: Saga University
• Principal Investigator: 川口 淳 佐賀大学, 医学部, 教授 (60389319)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Project Status: Adopted (Fiscal Year 2021)
• Budget Amount: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000); Fiscal Year 2023: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000); Fiscal Year 2022: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2021: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)