Spatially Compact Neural Clusters in the Dorsal Striatum Encode Locomotion Relevant Information.
Spatially Compact Neural Clusters in the Dorsal Striatum Encode Locomotion Relevant Information.
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DOI：
10.1016/j.neuron.2016.08.037
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发表时间：
2016-10-05
期刊：
影响因子：
16.2
通讯作者：
Lin DT
中科院分区：
文献类型：
--
作者：
Barbera G;Liang B;Zhang L;Gerfen CR;Culurciello E;Chen R;Li Y;Lin DT
一个有影响力的纹状体模型假设，纹状体直接和间接途径的神经活动分别促进和抑制运动。正常的行为需要协调的活动，在直接途径，以促进预期的运动和间接途径，以抑制不必要的运动。在这个纹状体模型中，假设神经元群体活动编码运动相关信息。在这里，我们提出了一种新的背侧纹状体的编码机制。我们确定了空间紧凑的直接和间接途径的神经簇。详细的表征显示，直接和间接的途径之间的集群组织相似，从这两种途径的集群活动与小鼠运动速度。使用机器学习算法，集群活动可以用于解码运动相关的行为状态和运动速度。我们建议，在背侧纹状体的神经簇编码运动相关的信息，并协调活动的直接和间接通路的神经簇所需的正常纹状体控制的行为。
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.
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