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钙结合蛋白阳性中间神经元树突增强γ 振荡。

Parvalbumin interneuron dendrites enhance gamma oscillations.

机构信息

Institute of Basic Medical Sciences, Section of Physiology, University of Oslo, Oslo, Norway.

Institute of Basic Medical Sciences, Section of Physiology, University of Oslo, Oslo, Norway.

出版信息

Cell Rep. 2022 Jun 14;39(11):110948. doi: 10.1016/j.celrep.2022.110948.

Abstract

Dendrites are essential determinants of the input-output relationship of single neurons, but their role in network computations is not well understood. Here, we use a combination of dendritic patch-clamp recordings and in silico modeling to determine how dendrites of parvalbumin (PV)-expressing basket cells contribute to network oscillations in the gamma frequency band. Simultaneous soma-dendrite recordings from PV basket cells in the dentate gyrus reveal that the slope, or gain, of the dendritic input-output relationship is exceptionally low, thereby reducing the cell's sensitivity to changes in its input. By simulating gamma oscillations in detailed network models, we demonstrate that the low gain is key to increase spike synchrony in PV basket cell assemblies when cells are driven by spatially and temporally heterogeneous synaptic inputs. These results highlight the role of inhibitory neuron dendrites in synchronized network oscillations.

摘要

树突是单个神经元输入-输出关系的重要决定因素,但它们在网络计算中的作用尚不清楚。在这里,我们结合树突贴附式记录和计算机模拟来确定表达钙结合蛋白 Parvalbumin (PV)的篮状细胞的树突如何有助于γ频带中的网络振荡。对齿状回中 PV 篮状细胞的体-树突同步记录显示,树突输入-输出关系的斜率(或增益)异常低,从而降低了细胞对输入变化的敏感性。通过在详细的网络模型中模拟γ 振荡,我们证明了当细胞受到空间和时间异质突触输入驱动时,低增益对于增加 PV 篮状细胞集合的尖峰同步性是关键。这些结果突出了抑制性神经元树突在同步网络振荡中的作用。

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