2021 Fiscal Year Final Research Report
Development of brain state extraction method from large-scale neural activity data for brain algorithm estimation
| Project/Area Number |
19K16299
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 46030:Function of nervous system-related
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| Research Institution | Hokkaido University (2020-2021)
Tokyo Medical and Dental University (2019) |
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Principal Investigator |
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| Project Period (FY) |
2019-04-01 – 2022-03-31
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| Keywords | マルチユニット記録 / ポアソン回帰 / 一次運動野 / 前頭前野 / 線条体 / ワーキングメモリ |
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| Outline of Final Research Achievements |
In this study, we tried to identify the neuronal basis of decision making using the large-scale neuronal activity data recorded by electrophysiological techniques. We developed a poisson regression analysis of neuronal spikes and applied it to the neuronal data during a choice task with two options. The analysis revealed encoding of the previous action and reward before action choice and during action execution specifically when rats were continuously performing choice behaviors. A striking finding was that the primary motor cortex and the dorsolateral striatum in the motor cortico-basal ganglia loop carried substantial working-memory information about previous choice, reward, and their interactions.
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| Free Research Field |
神経科学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では、良い結果となった場合は同じ選択肢を選び続け、悪い結果となった場合には別の選択肢に切り替えるというwin-stay lose-switch(WSLS)のようなワーキングメモリ型の意思決定戦略は、大脳皮質－基底核ループの運動系ループで処理されることが大規模神経データの解析によって示された。この研究成果は、ワーキングメモリの障害がしばしば併発し適応的な行動に影響が及ぶ統合失調症やうつ病などの精神疾患に対する理解の深化に貢献が期待される。
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