在手腕运动中内在与外在坐标的差异处理:连接性和计时视角
Laura Alejandra Martinez-Tejada1, Yuji Imakura2, Ying-Tung Cho2
1School of Computing, Tokyo Institute of Technology, Yokohama, Japan.
Frontiers in neuroinformatics
|July 26, 2023
概括
这项研究揭示了用于内在和外在运动控制的独特大脑网络. 外向导向的运动可能会绕过内在路径以更快地到达运动区域.
科学领域:
- 神经科学是一个神经科学.
- 发动机控制器的控制器
- 脑部成像 脑部成像
背景情况:
- 了解运动坐标框架对于破译大脑功能至关重要.
- 区分内在和外在的电机控制网络仍然是一个挑战.
研究的目的:
- 为了研究内在和外在运动坐标框架之间的大脑网络差异.
- 阐明涉及处理不同运动命令的神经通路.
主要方法:
- 利用功能性磁共振成像 (fMRI) 数据从右手腕在不同的前臂姿势等比运动.
- 使用机器学习进行神经表示和有效的功能连接分析,包括心理生理相互作用 (PPI) 和动态因果建模 (DCM).
- 进行了一项行为实验,以评估肌肉活动发作的时间差异.
主要成果:
- 一个大脑连接模型突出显示了内在和外在运动框架的独特网络路径.
- 下顶叶片通过上顶叶片处理外部信息,并将内在信息直接传送到手扣.
- 行为数据显示,与外部运动相比,内在的坐标定向运动的肌肉活动开始延迟.
结论:
- 大脑网络在内在和外在的运动坐标框架之间存在显著差异.
- 外向导向的运动似乎绕过了内在的坐标系统处理,以高效地到达主要的运动区域.
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