大脑神经动力学预测单个试验的决策时间和结果
Qian Lin1, Jason Manley1, Magdalena Helmreich2
1Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY 10065, USA.
Cell
|January 21, 2020
概括
大脑活动动态预测斑马鱼的决策. 全球大脑状态分为特定的行为,小脑和大脑管的相互作用指导选择和运动计划.
科学领域:
- 神经科学
- 行为神经科学
- 系统神经科学
背景情况:
- 目标导向的行为依赖于多个大脑区域之间的复杂相互作用.
- 了解这些大脑区域及其网络活动如何驱动行动选择至关重要,
研究的目的:
- 研究行动选择和决策背后的神经机制.
- 探索整个大脑动态和特定神经回路在驱动行为选择中的作用.
主要方法:
- 在斑马鱼幼虫中使用光场显微镜对整个大脑进行体积成像.
- 结合神经影像与操作条件任务,将神经活动与决策结果联系起来.
主要成果:
- 识别出全球性,重复性大脑状态动态, 显示出对不同的决策结果的前运动分叉.
- 在分布式网络中观察到试验对试验的功能连接性变化,特别是小脑和大脑之间,与决策结果相关.
- 在小脑中发现预测性前运动活动 (>10秒前运动) 和确定半球神经活性差异决定转向方向.
结论:
- 小脑在运动规划和行动选择中起着重要的认知作用.
- 整个大脑的神经动态和特定的网络相互作用,特别是小脑和大脑,对于决策至关重要.
- 神经群体的增长率可以量化地预测试验的决定时间.
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