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体内运动图谱中树突动态的稳态调节。

Homeostatic regulation of dendritic dynamics in a motor map in vivo.

机构信息

Department of Neurobiology and Behavior, Cornell University, Ithaca, New York 14853, USA.

出版信息

Nat Commun. 2013;4:2086. doi: 10.1038/ncomms3086.

Abstract

Neurons and circuits are remarkably dynamic. Their gross structure can change within minutes as neurons sprout and retract processes to form new synapses. Homeostatic processes acting to regulate neuronal activity contribute to these dynamics and predict that the dendritic dynamics within pools of neurons should vary systematically in accord with the activity levels of individual neurons in the pool during behaviour. Here we test this by taking advantage of a topographic map of recruitment of spinal motoneurons in zebrafish. In vivo imaging reveals that the dendritic filopodial dynamics of motoneurons map onto their recruitment pattern, with the most electrically active cells having the lowest dynamics. Genetic reduction of activity inverts this map of dynamics. We conclude that homeostatic mechanisms driven by a gradient of activity levels in a pool of neurons can drive an associated gradation in neuronal dendritic dynamics, potentially shaping connectivity within a functionally heterogenous pool of neurons.

摘要

神经元和回路具有显著的动态性。它们的总体结构可以在几分钟内发生变化,神经元会伸展和缩回突起以形成新的突触。调节神经元活动的稳态过程有助于这些动态变化,并预测在行为过程中,神经元池内的树突动态应该与池内单个神经元的活动水平系统地变化。在这里,我们通过利用斑马鱼脊髓运动神经元募集的地形图谱来验证这一点。体内成像显示,运动神经元的树突丝状伪足动力学与其募集模式相对应,电活动最强的细胞具有最低的动力学。活性的遗传降低会使这种动力学图谱反转。我们得出的结论是,由神经元池中的活动水平梯度驱动的稳态机制可以驱动神经元树突动力学的相关分级,从而可能在功能异质的神经元池内形成连接。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9eb/3702161/0a0d7a3bd5cf/nihms486799f1.jpg

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