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神经网络拓扑结构表明中风后有不同的恢复过程。

Neuronal Network Topology Indicates Distinct Recovery Processes after Stroke.

机构信息

Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.

Cancer Research Department, Brighton and Sussex Medical School, BN1 9PX, Brighton, UK.

出版信息

Cereb Cortex. 2020 Nov 3;30(12):6363-6375. doi: 10.1093/cercor/bhaa191.

Abstract

Despite substantial recent progress in network neuroscience, the impact of stroke on the distinct features of reorganizing neuronal networks during recovery has not been defined. Using a functional connections-based approach through 2-photon in vivo calcium imaging at the level of single neurons, we demonstrate for the first time the functional connectivity maps during motion and nonmotion states, connection length distribution in functional connectome maps and a pattern of high clustering in motor and premotor cortical networks that is disturbed in stroke and reconstitutes partially in recovery. Stroke disrupts the network topology of connected inhibitory and excitatory neurons with distinct patterns in these 2 cell types and in different cortical areas. These data indicate that premotor cortex displays a distinguished neuron-specific recovery profile after stroke.

摘要

尽管近年来网络神经科学取得了重大进展,但中风对恢复过程中神经元网络重组的独特特征的影响尚未确定。我们通过单神经元双光子在体钙成像,采用基于功能连接的方法,首次展示了运动和非运动状态下的功能连接图谱、功能连接图谱中的连接长度分布以及运动和运动前皮质网络中高聚类的模式,这些在中风后受到干扰,并在恢复过程中部分重建。中风破坏了连接的抑制性和兴奋性神经元的网络拓扑结构,这两种细胞类型和不同的皮质区域存在不同的模式。这些数据表明,运动前皮质在中风后表现出独特的神经元特异性恢复特征。

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