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首页> 外文期刊>Neuron >Spatially Compact Neural Clusters in the Dorsal Striatum Encode Locomotion Relevant Information
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Spatially Compact Neural Clusters in the Dorsal Striatum Encode Locomotion Relevant Information

机译：背侧纹状体中空间紧凑的神经簇编码运动相关信息

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摘要

An influential striatal model postulates that neural activities in the striatal direct and indirect pathways promote and inhibit movement, respectively. Normal behavior requires coordinated activity in the direct pathway to facilitate intended locomotion and indirect pathway to inhibit unwanted locomotion. In this striatal model, neuronal population activity is assumed to encode locomotion relevant information. Here, we propose a novel encoding mechanism for the dorsal striatum. We identified spatially compact neural clusters in both the direct and indirect pathways. Detailed characterization revealed similar cluster organization between the direct and indirect pathways, and cluster activities from both pathways were correlated with mouse locomotion velocities. Using machine-learning algorithms, cluster activities could be used to decode locomotion relevant behavioral states and locomotion velocity. We propose that neural clusters in the dorsal striatum encode locomotion relevant information and that coordinated activities of direct and indirect pathway neural clusters are required for normal striatal controlled behavior.
机译：有影响的纹状体模型假定纹状体直接和间接途径中的神经活动分别促进和抑制运动。正常行为需要直接途径中的协调活动来促进预期的运动，而间接途径则需要抑制不需要的运动。在这种纹状体模型中，假定神经元种群活动编码运动相关信息。在这里，我们提出了一种新型的纹状体背侧编码机制。我们在直接和间接途径中都确定了空间紧凑的神经簇。详细的表征揭示了直接途径和间接途径之间相似的簇组织，并且两种途径的簇活动均与小鼠运动速度相关。使用机器学习算法，集群活动可用于解码与运动有关的行为状态和运动速度。我们建议在背侧纹状体中的神经簇编码运动相关信息，并且正常纹状体受控行为需要直接和间接途径神经簇的协调活动。

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