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Functional Clustering of Neurons in Motor Cortex Determined by Cellular Resolution Imaging in Awake Behaving Mice

机译:通过清醒行为小鼠中的细胞分辨率成像确定运动皮质中神经元的功能簇。

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摘要

Macroscopic (millimeter scale) functional clustering is a hallmark characteristic of motor cortex spatial organization in awake behaving mammals; however, almost no information is known about the functional micro-organization (∼100 μm scale). Here, we optically recorded intracellular calcium transients of layer 2/3 neurons with cellular resolution over ∼200-μm-diameter fields in the forelimb motor cortex of mobile, head-restrained mice during two distinct movements (running and grooming). We showed that the temporal correlation between neurons was statistically larger the closer the neurons were to each other. We further explored this correlation by using two separate methods to spatially segment the neurons within each imaging field: K-means clustering and correlations between single neuron activity and mouse movements. The two methods segmented the neurons similarly and led to the conclusion that the origin of the inverse relationship between correlation and distance seen statistically was twofold: clusters of highly temporally correlated neurons were often spatially distinct from one another, and (even when the clusters were spatially intermingled) within the clusters, the more correlated the neurons were to each other, the shorter the distance between them. Our results represent a direct observation of functional clustering within the microcircuitry of the awake mouse motor cortex.
机译:宏观(毫米级)功能性聚类是清醒行为哺乳动物的运动皮层空间组织的标志性特征。但是,几乎没有有关功能性微生物的信息(约100μm规模)。在这里,我们以光学方式记录了2/3层神经元的细胞内钙瞬变,其在两个截然不同的运动(跑步和梳理)过程中,头顶受限的可移动小鼠前肢运动皮层的直径约200μm以上,具有细胞分辨率。我们表明,神经元之间的时间相关性在统计上越大,神经元彼此之间越近。我们通过使用两种单独的方法在每个成像区域内对神经元进行空间分割来进一步探讨这种相关性:K均值聚类以及单个神经元活动与鼠标移动之间的相关性。两种方法对神经元进行相似的分割,得出的结论是,从统计学上看,相关性和距离之间的逆关系的起源是双重的:高度相关的神经元簇通常在空间上彼此分开,并且(即使这些簇在空间上在群集中混合在一起),神经元彼此之间的关联度越高,它们之间的距离越短。我们的结果代表了对觉醒的小鼠运动皮层微电路内功能簇的直接观察。

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