整个大脑的分析揭示了在大脑区域内和大脑区域内结构化的运动编码.
Ziyue Aiden Wang1, Balint Kurgyis1, Susu Chen2
1Stanford University, Stanford, Palo Alto, CA, USA.
Nature neuroscience
|November 18, 2025
概括
研究人员绘制了小鼠的大脑全方位运动活动的地图,揭示了运动区域的独特信号. 这项研究将神经活动,未受指导的运动和决策过程联系起来.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 系统神经科学 系统神经科学
背景情况:
- 与运动相关的神经活动很普遍,但其精确的分布和计算作用仍然不清楚.
- 了解大脑如何编码运动对于破译运动控制和决策至关重要.
- 之前的研究还没有全面地映射整个大脑的运动信号与行为有关的信号.
研究的目的:
- 为了绘制与运动相关的神经活动在老鼠大脑中的分布.
- 调查运动信号如何与决策任务期间的神经计算有关.
- 识别无指令运动对神经活动和行为选择的影响.
主要方法:
- 来自小鼠5万多个神经元的全脑神经记录.
- 应用多个机器学习算法来从视频摄影中预测神经活动.
- 使用基于视频的预测来评估神经调制的单个试验行为的分析.
主要成果:
- 与运动相关的信号在大脑区域之间有显著的差异,在运动区域附近的信号更强.
- 通过划分预测和后续运动活动,揭示了微小的感觉和运动编码结构.
- 发现未受指导的运动调节神经活动,影响与选择相关的分析.
结论:
- 已经建立了一个遍布大脑的运动编码的全面地图.
- 提供了新的方法来联系神经活动,自发运动和决策.
- 这项研究提供了关于运动控制和认知任务的神经基础的见解.
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