| Project/Area Number |
21K09149
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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 56010:Neurosurgery-related
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| Research Institution | Nagoya University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
礒田 治夫 聖隷クリストファー大学, リハビリテーション科学研究科, 臨床教授 (40223060)
前澤 聡 名古屋大学, 医学部附属病院, 助教 (90566960)
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2023: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2021: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | precision mapping / real-time fMRI / functional connectivity / essential tremor / resting-state fMRI / human connectome / resting state fMRI / neurosurgery |
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| Outline of Research at the Start |
Advances in brain imaging research have significantly improved our understanding of the brain's functions and its functional organization, yet their clinical applications remain very limited. This research aims to bridge this gap by developing a system that can be used to generate individualized, highly reliable, and reproducible functional connection profile of the human brain in real-time that can be used for neurosurgical applications including preoperative planning and during online intraoperative assessment.
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| Outline of Final Research Achievements |
This study aimed to develop a system for the real-time construction of individualized, highly reliable and reproducible connectivity profile of the human brain using resting-state functional MRI for neurosurgical applications. For this, we used functional connectivity overlap ratio (FCOR), a network metric that quantifies a region’s functional connections to different large-scale brain networks. Our findings demonstrated the feasibility of constructing whole-brain FCOR maps in real-time. Highly reproducible FCOR maps could also be generated using large fMRI data. FCOR analysis was also successful in identifying connectivity alterations before and after thalamotomy in patients with essential tremor, demonstrating the potential use of FCOR for neurosurgical applications.
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| Academic Significance and Societal Importance of the Research Achievements |
Our results demonstrated the feasibility of using FCOR analysis to extensively evaluate alterations in brain network before and after neurosurgical operations. Real-time construction of FCOR maps could also enable intraoperative assessment of the brain connectome during surgery.
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