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对伸手动作动态变化的长期适应:一项正电子发射断层扫描研究。

Long-term adaptation to dynamics of reaching movements: a PET study.

作者信息

Nezafat R, Shadmehr R, Holcomb H H

机构信息

Laboratory for Computational Motor Control, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.

出版信息

Exp Brain Res. 2001 Sep;140(1):66-76. doi: 10.1007/s002210100787.

Abstract

Positron emission tomography (PET) was used to examine changes in the cerebellum as subjects learned to make movements with their right arm while holding the handle of a robot that produced a force field. Brain images were acquired during learning and then during recall at 2 and 4 weeks. We also acquired images during a control task where the force field was not learnable and subjects did not show any improvements across sessions. During the 1st day, we observed that motor errors decreased from the control condition to the learning condition. However, regional cerebral blood flow (rCBF) in the posterior region of the right cerebellar cortex initially increased from the control condition and then gradually declined with reductions in motor error. Correspondingly, rCBF in the ipsilateral deep cerebellar nuclei (DCN) initially decreased from the control condition and then increased with reductions in motor error. If measures of rCBF mainly reflect presynaptic activity of neurons, this result predicts that DCN neurons fire with a pattern that starts high in the control task then decreases as learning proceeds. Similarly, Purkinje cells should generally have their lowest activity in the control task. This pattern is consistent with neurophysiological recordings that find that cerebellar activity during early learning of a motor task may mainly reflect changes in coactivation of muscles of the limbs, rather than a learning specific signal. By the end of the first session, motor errors had reached a minimum and no further improvements were observed. However, across the weeks a region in the anterior cerebellar cortex showed gradual decreases in rCBF that could not be attributed to changes in motor performance. Because patterns of rCBF in the cortex and nuclei were highly anti-correlated, we used structural equation modeling to estimate how synaptic activity in the cerebellar cortex influenced synaptic activity in the DCN. We found a negative correlation with a strength that significantly increased during the 4 weeks. This suggests that, during long-term recall, the same input to the cerebellar cortex would produce less synaptic activity at the DCN, possibly because of reduced cerebellar cortex output to the DCN.

摘要

正电子发射断层扫描(PET)被用于检查小脑的变化,实验中受试者在握住一个能产生力场的机器人手柄时,学习用右臂进行运动。在学习过程中以及之后第2周和第4周的回忆过程中采集脑部图像。我们还在一个控制任务中采集了图像,在该任务中力场是不可学习的,并且受试者在各阶段未表现出任何改善。在第一天,我们观察到运动误差从控制条件到学习条件有所降低。然而,右侧小脑皮质后部的局部脑血流量(rCBF)最初从控制条件下增加,然后随着运动误差的减少而逐渐下降。相应地,同侧小脑深部核团(DCN)的rCBF最初从控制条件下降低,然后随着运动误差的减少而增加。如果rCBF的测量主要反映神经元的突触前活动,那么这个结果预测DCN神经元的放电模式在控制任务中开始时较高,然后随着学习的进行而降低。同样,浦肯野细胞在控制任务中通常具有最低的活动。这种模式与神经生理学记录一致,即发现运动任务早期学习期间小脑的活动可能主要反映肢体肌肉共同激活的变化,而不是学习特异性信号。到第一阶段结束时,运动误差已达到最小值且未观察到进一步改善。然而,在接下来的几周里,小脑前皮质的一个区域显示rCBF逐渐下降,这不能归因于运动表现的变化。由于皮质和核团中rCBF的模式高度负相关,我们使用结构方程模型来估计小脑皮质中的突触活动如何影响DCN中的突触活动。我们发现了一种负相关,其强度在4周内显著增加。这表明,在长期回忆期间,相同的小脑皮质输入在DCN处产生的突触活动会减少,这可能是因为小脑皮质向DCN的输出减少。

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