全球运动动力学 - - 在分布在整个大脑的记录中,对运动行为的不变神经表示
Maarten C Ottenhoff1, Maxime Verwoert1, Sophocles Goulis1
1Department of Neurosurgery, Mental Health and Neuroscience Research Institute, Maastricht University, Maastricht, The Netherlands.
Journal of neural engineering
|October 9, 2024
概括
全球大脑活动模式预测跨任务和个体的运动. 这项研究揭示了广泛的神经动力学,增强了我们对运动控制和大脑功能的理解.
科学领域:
- 神经科学是一个神经科学.
- 系统神经科学 系统神经科学
- 计算神经科学是一种神经科学.
背景情况:
- 众所周知,与运动相关的神经活动是普遍存在的,在动物和一些人类大脑区域中观察到大脑范围的相关性.
- 然而,人类大脑中与运动相关的神经活动的全球模式的程度在很大程度上仍未被探索.
研究的目的:
- 通过解码方法捕捉和表征大脑范围内的运动神经相关物.
- 在任务和参与者之间调查全球运动相关神经动态的存在和稳定性.
主要方法:
- 在八名患者中使用立体电脑学 (SEEG) 记录了侵入性电生理学数据,他们执行了执行和想象的抓取任务.
- 利用低维表示和里曼解码器来从休息试验中分类运动.
- 进行了除分析和转移学习,以评估所识别的动态的稳定性和概括性.
主要成果:
- 揭示了全球神经动态,可以预测不同任务和参与者的运动.
- 证明了这些动态的显著稳定性,即使有信息丢失 (消去分析).
- 通过转移学习可以预测参与者的运动,这表明跨参与者的概括性.
结论:
- 可解码的,全球运动相关的神经动态存在于低维空间,几乎是大脑范围,并且存在于所有参与者中.
- 这些发现支持对运动控制进行大脑范围调查的更广泛范围.
- 这些结果可能有助于组合来自多个参与者的数据集,并开发无校准的神经解码器.
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