van der Weel F R Ruud, Sokolovskis Ingemārs, Raja Vicente, van der Meer Audrey L H
Developmental Neuroscience Laboratory, Department of Psychology, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.
Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.
Brain Sci. 2022 Dec 19;12(12):1737. doi: 10.3390/brainsci12121737.
High-density electroencephalography from visual and motor cortices in addition to kinematic hand and target movement recordings were used to investigate τ-coupling between brain activity patterns and physical movements in an interceptive timing task. Twelve adult participants were presented with a target car moving towards a destination at three constant accelerations, and an effector dot was available to intercept the car at the destination with a swift movement of the finger. A τ-coupling analysis was used to investigate involvement of perception and action variables at both the ecological scale of behavior and neural scale. By introducing the concept of resonance, the underlying dynamics of interceptive actions were investigated. A variety of one- and two-scale τ-coupling analyses showed significant differences in distinguishing between slow, medium, and fast target speed when car motion and finger movement, VEP and MRP brain activity, VEP and car motion, and MRP and finger movement were involved. These results suggested that the temporal structure present at the ecological scale is reflected at the neural scale. The results further showed a strong effect of target speed, indicating that τ-coupling constants and increased with higher speeds of the moving target. It was concluded that τ-coupling can be considered a valuable tool when combining different types of variables at both the ecological and neural levels of analysis.
除了手部运动学和目标运动记录外，还利用视觉和运动皮层的高密度脑电图来研究拦截定时任务中大脑活动模式与身体运动之间的τ耦合。向12名成年参与者展示一辆以三种恒定加速度驶向目的地的目标汽车，并且有一个效应点可供手指快速移动以在目的地拦截汽车。采用τ耦合分析来研究行为的生态尺度和神经尺度上感知和动作变量的参与情况。通过引入共振概念，研究了拦截动作的潜在动力学。各种单尺度和双尺度τ耦合分析表明，当涉及汽车运动和手指运动、视觉诱发电位（VEP）和运动相关电位（MRP）脑活动、VEP和汽车运动以及MRP和手指运动时，在区分慢速、中速和快速目标速度方面存在显著差异。这些结果表明，生态尺度上存在的时间结构在神经尺度上得到了反映。结果还进一步显示了目标速度的强烈影响，表明τ耦合常数随着移动目标速度的提高而增加。得出的结论是，在生态和神经分析层面结合不同类型变量时，τ耦合可被视为一种有价值的工具。
