在自动模拟中解开前运动-运动路径的功能性作用:基于网络的跨刺激和漂移扩散建模方法.
Sonia Turrini1, Luca Tarasi2, Naomi Bevacqua2,3
1Centro studi e ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia "Renzo Canestrari", Alma Mater Studiorum-Università di Bologna, Cesena 47521, Italy sonia.turrini3@unibo.it alessio.avenanti@unibo.it.
概括
腹前运动皮层 (PMv) 到主要运动皮层 (M1) 路径驱动自动模仿,而补充运动区域 (SMA) 到M1路径有助于整合上下文以更好地控制模仿.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 发动机控制器的控制器
背景情况:
- 自动模仿是人类基本的社会行为.
- 行动观察网络 (AON) 促进了模仿,涉及诸如腹前运动皮层 (PMv) 和补充运动区域 (SMA) 等运动区域.
- 在模仿中,PMv-to-primary运动皮层 (M1) 和SMA-to-M1路径的特定作用尚不清楚.
研究的目的:
- 在自动模仿中研究PMv-to-M1和SMA-to-M1通路的功能作用和可塑性.
- 确定调节这些路径如何影响模仿偏差和上下文信息处理.
主要方法:
- 使用皮质皮层配对关联刺激 (ccPAS) 调节PMv-M1和SMA-M1.1之间的连接强度.
- 采用漂移扩散建模来分析影响模仿行为的潜在认知过程.
- 在健康的人类参与者身上研究的效果.
主要成果:
- 提高PMv-to-M1连接性增加了自动模仿的趋势.
- 阻碍PMv-to-M1连接可以减少模仿偏差.
- 加强SMA-to-M1连接并没有改变模仿偏差,但改进了上下文信息集成,如漂移率参数所示.
- 证明了这两个途径的功能之间的双重分离.
结论:
- 从PMv到M1的通路与自动模仿偏差有因果关系.
- 从SMA到M1的途径通过整合上下文信息来规范模仿,发挥着至关重要的作用.
- 这些发现阐明了在模仿促进和上下文依赖调制的基础上存在不同的神经机制.
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