运动皮层中神经活动的时空空间结构在达到运动过程中
Ryan A Canfield1, Tomohiro Ouchi2, Hao Fang2
1University of Washington, Bioengineering, Seattle, 98115, USA.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
大脑-计算机接口 (BCI) 为运动绘制神经活动图. 这项研究揭示了运动表征是复杂的,分布在前额叶皮质,告知未来的BCI植入策略.
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.
- 生物医学工程 生物医学工程
背景情况:
- 皮层内脑-计算机接口 (BCI) 将神经活动转化为行动.
- 目前的BCI技术针对广泛的皮质区域,但未来的植入物需要精确地针对特定的神经群体.
- 在前部运动皮层中,运动表征的详细结构尚未得到充分理解.
研究的目的:
- 调查前额运动皮层的广泛区域内的运动表征和神经群体动态的变化.
- 描述与运动控制相关的神经活动模式的时空复杂性.
主要方法:
- 使用高密度的层状微电极阵列,在子中同时进行多神经元记录.
- 在三个空间维度上映神经元活动,并将其与运动参数相关联.
- 进行了目标解码分析,以评估任务信息分布和神经群体动态.
主要成果:
- 任务信息在皮质表面和深度中异质分布.
- 神经群体动态 (时间协调) 也有所变化,任务信息预测了动态的相似性.
- 表现出最相似的动态的神经群体包括具有高任务信息的神经元,无论它们的空间位置如何.
结论:
- 额叶皮层中的运动表现是时空复杂的,涉及空间分布的神经群体,用于学习好的运动.
- 了解这种复杂性对于设计和优化未来的BCI植入物以提高性能至关重要.
- 这些发现为指导下一代BCI技术的开发提供了关键的见解.
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