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受控运动加工:手指、手腕和手臂运动的共同抑制控制的证据。

Controlled movement processing: evidence for a common inhibitory control of finger, wrist, and arm movements.

机构信息

Centre for Neuroscience Studies and Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Canada ON K7L 3N6.

出版信息

Neuroscience. 2012 Jul 26;215:69-78. doi: 10.1016/j.neuroscience.2012.04.051. Epub 2012 Apr 30.

DOI:10.1016/j.neuroscience.2012.04.051
PMID:22554783
Abstract

We used the behavioral task and theoretical construct of the countermanding paradigm to test whether there is any difference between the inhibitory control of the finger, wrist, and arm. Participants were instructed (primary task) to respond to a directional go signal presented at the fovea by pressing a button with either their index or middle fingers, moving a joystick with their wrists, or reaching to a stimulus on a touch screen with their arms. They were also instructed (secondary task) to withhold their responses when a stop signal was presented on 25% of trials. The participants' ability to inhibit each of the commanded movements was captured by their inhibition probability function, which describes how withholding is increasingly difficult as the delay between the go and stop signals increased. By modeling each participant's inhibition function, we estimated that the time needed to inhibit a commanded movement was about 240 ms, a variable that did not differ significantly between the three limb segments. Moreover, we found that the best-fit model of each segment's inhibition function could fit equally well the inhibition functions obtained with the other two segments. These results provide evidence that the upper limb segments share a common inhibitory control, which may facilitate the regulation of neuronal activity within the distributed motor cortical representations and thus simplify the voluntary control of multi-segmental movements.

摘要

我们使用行为任务和反抑制范式的理论结构来测试手指、手腕和手臂的抑制控制是否存在任何差异。参与者被指示(主要任务)通过用食指或中指按下按钮、用手腕移动操纵杆或用手臂伸向触摸屏上的刺激来响应出现在中央凹的方向信号。他们还被指示(次要任务)在 25%的试验中出现停止信号时抑制他们的反应。参与者抑制每个命令运动的能力由他们的抑制概率函数捕获,该函数描述了随着从信号到停止信号的延迟增加,抑制的难度如何逐渐增加。通过对每个参与者的抑制函数进行建模,我们估计抑制命令运动所需的时间约为 240 毫秒,这个变量在三个肢体段之间没有显著差异。此外,我们发现每个肢体段的抑制函数的最佳拟合模型可以同样适用于其他两个肢体段获得的抑制函数。这些结果提供了证据,表明上肢段共享共同的抑制控制,这可能有助于调节分布式运动皮质代表中的神经元活动,从而简化多节段运动的自愿控制。

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