Development of a method for predicting and improving pathological progression using brain information feedback control

2023 Fiscal Year Final Research Report

• Project/Area Number: 19K12768
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 90110:Biomedical engineering-related
• Research Institution: Doshisha University
• Principal Investigator: IDE KAORU 同志社大学, 研究開発推進機構, 助教 (90806671)
• Co-Investigator(Kenkyū-buntansha): 高橋 晋 同志社大学, 脳科学研究科, 教授 (20510960)
• Project Period (FY): 2019-04-01 – 2024-03-31
• Keywords: 脳神経回路 / オプトジェネティクス / 神経細胞活動

Outline of Final Research Achievements

Our collaborative research efforts have enabled the detection of Parkinson's disease (PD) symptoms and the identification of animal behavior characteristics. We have also made it possible to implement feedback control tailored to the inhibition of multi-animal interactions and characteristic behaviors caused by PD. By introducing a reconfigurable maze that we developed, it has become feasible to evaluate symptom improvement through animal behavioral studies and to precisely feedback brain information. Additionally, we confirmed that ventral tegmental area dopamine cells have an effect on reward location tasks and are involved in the persistence and adaptation of spatial memory.involved in the persistence and adaptation of spatial memory.

Free Research Field

神経科学

Academic Significance and Societal Importance of the Research Achievements

我々が参画した共同研究の成果により、PD動物の行動特徴の自動検出やPDを起因とした動物の行動の同定が可能になったことにより、PDの病態進行予測に大きく貢献していると考えられる。また、光遺伝学にもとづいた神経刺激により、ターゲットの神経細胞活動をリアルタイムで変容させることが可能になった。これらの成果は、PDの治療効果の向上と患者の生活の質の改善に寄与し、医療分野における革新的な進展を示すと考えられる。