Context-dependent limb movement encoding in neuronal populations of motor cortex
Context-dependent limb movement encoding in neuronal populations of motor cortex
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DOI：
10.1038/s41467-019-12670-z
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发表时间：
2019-10-23
影响因子：
16.6
通讯作者：
Helmchen, Fritjof
中科院分区：
文献类型：
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作者：
Omlor, Wolfgang;Wahl, Anna-Sophia;Helmchen, Fritjof
哺乳动物运动皮层 (M1) 的神经元网络对于肢体关节的灵巧控制非常重要。然而，目前尚不清楚 M1 中关节运动的编码如何取决于不同的环境背景。使用钙成像，我们测量了小鼠在运动过程中抓握规则或不规则间隔的梯级时 M1 前肢区域 2/3 层的神经元活动。我们发现前肢关节运动的群体编码很稀疏，并且根据规则和不规则环境中各个关节所需的灵活性而变化，即使对于跨条件的等效抓取动作也是如此。 M1 编码的这种上下文依赖性在任务学习过程中出现，促进了抓取动作的更高精确度，但在次级运动皮层 (M2) 的投射沉默时就破裂了。这些发现表明，M1 利用来自 M2 的信息来调整关节运动的编码，以满足不同熟悉环境的灵活性需求，从而提高运动输出的准确性。
Neuronal networks of the mammalian motor cortex (M1) are important for dexterous control of limb joints. Yet it remains unclear how encoding of joint movement in M1 depends on varying environmental contexts. Using calcium imaging we measured neuronal activity in layer 2/3 of the M1 forelimb region while mice grasped regularly or irregularly spaced ladder rungs during locomotion. We found that population coding of forelimb joint movements is sparse and varies according to the flexibility demanded from individual joints in the regular and irregular context, even for equivalent grasping actions across conditions. This context-dependence of M1 encoding emerged during task learning, fostering higher precision of grasping actions, but broke apart upon silencing of projections from secondary motor cortex (M2). These findings suggest that M1 exploits information from M2 to adapt encoding of joint movements to the flexibility demands of distinct familiar contexts, thereby increasing the accuracy of motor output.