首页> 美国卫生研究院文献>Frontiers in Neurology >Primary Motor Cortex Neurons during Individuated Finger and Wrist Movements: Correlation of Spike Firing Rates with the Motion of Individual Digits versus Their Principal Components
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Primary Motor Cortex Neurons during Individuated Finger and Wrist Movements: Correlation of Spike Firing Rates with the Motion of Individual Digits versus Their Principal Components

机译:个体手指和腕部运动过程中的主要运动皮层神经元:峰值放电速率与单个数字运动及其主要成分的相关性

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摘要

The joints of the hand provide 24 mechanical degrees of freedom. Yet 2–7 principal components (PCs) account for 80–95% of the variance in hand joint motion during tasks that vary from grasping to finger spelling. Such findings have led to the hypothesis that the brain may simplify operation of the hand by preferentially controlling PCs. We tested this hypothesis using data recorded from the primary motor cortex (M1) during individuated finger and wrist movements. Principal component analysis (PCA) of the simultaneous position of the five digits and the wrist showed relatively consistent kinematic synergies across recording sessions in two monkeys. The first three PCs typically accounted for 85% of the variance. Cross-correlations then were calculated between the firing rate of single neurons and the simultaneous flexion/extension motion of each of the five digits and the wrist, as well as with each of their six PCs. For each neuron, we then compared the maximal absolute value of the cross-correlations (MAXC) achieved with the motion of any digit or the wrist to the MAXC achieved with motion along any PC axis. The MAXC with a digit and the MAXC with a PC were themselves highly correlated across neurons. A minority of neurons correlated more strongly with a PC than with any digit. But for the populations of neurons sampled from each of two subjects, MAXCs with digits were slightly but significantly higher than those with PCs. We therefore reject the hypothesis that M1 neurons preferentially control PCs of hand motion. We cannot exclude the possibility that M1 neurons might control kinematic synergies identified using linear or non-linear methods other than PCA. We consider it more likely, however, that neurons in other centers of the motor system – such as the pontomedullary reticular formation and the spinal gray matter – drive synergies of movement and/or muscles, which M1 neurons act to fractionate in producing individuated finger and wrist movements.
机译:手的关节提供24个机械自由度。然而,在从抓握到手指拼写变化的任务中,2-7个主要成分(PC)占了手关节运动变化的80-95%。这些发现导致了这样的假设:大脑可以通过优先控制PC来简化手的操作。我们使用个体手指和腕部运动期间从主要运动皮层(M1)记录的数据测试了该假设。五位数字和手腕同时位置的主成分分析(PCA)显示,在两只猴子的记录过程中,运动协同作用相对一致。前三台PC通常占差异的85%。然后计算出单个神经元的放电率与五个手指和腕部以及六个PC的每个手指同时进行的屈伸运动之间的相互关系。然后,对于每个神经元,我们将通过任何手指或手腕运动获得的互相关的最大绝对值(MAXC)与通过任何PC轴运动获得的MAXC进行比较。带有数字的MAXC和带有PC的MAXC本身在神经元之间高度相关。少数神经元与PC的关联比与任何数字的关联都强。但是对于从两个对象中每一个采样的神经元群体,具有数字的MAXC略高于但具有PC的那些。因此,我们拒绝了M1神经元优先控制手部PC的假设。我们不能排除M1神经元可能控制使用PCA以外的线性或非线性方法确定的运动学协同作用的可能性。但是,我们认为运动系统其他中心的神经元(如桥状网状网状结构和脊柱灰质)更有可能驱动运动和/或肌肉的协同增效,而M1神经元在产生个别手指和肌肉的过程中会发挥作用。腕部动作。

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