Distinct dendritic integration strategies control dynamics of inhibition in the neocortex.

IF 15 1区 医学 Q1 NEUROSCIENCES
Annunziato Morabito, Yann Zerlaut, Dhanasak Dhanasobhon, Emmanuelle Berthaux, Cibele Martins Pinho, Alexandra Tzilivaki, Gael Moneron, Laurence Cathala, Panayiota Poirazi, Alberto Bacci, David A DiGregorio, Joana Lourenço, Nelson Rebola
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Abstract

Dendrites critically influence single-neuron computations, but their role in neocortical GABAergic interneurons (INs) remains poorly understood. We found that the two major cortical IN subtypes-somatostatin (SST)- and parvalbumin (PV)-expressing cells-use distinct strategies for distributing and integrating excitatory synaptic inputs along their dendrites. SST-INs exhibit NMDAR-dependent supralinear integration and a uniform distribution of synapses, whereas PV-INs show sublinear integration with a higher density of synapses on proximal dendrites with low NMDAR expression. Compartmental modeling revealed that, while both strategies enhance synaptic efficacy, passive integration and proximally biased inputs enable precise tracking of fast-changing signals in PV-INs, whereas NMDARs in SST-INs promote broader temporal integration, supporting sustained activity tuned to slower input variations. Consistent with these predictions, in vivo measurements showed differentially shaped dynamic visual responses in PV- and SST-INs. Therefore, the heterogeneity of dendritic mechanisms strongly influences the spatiotemporal dynamics of IN-specific inhibition in cortical circuits.

不同的树突整合策略控制新皮层抑制的动态。
树突严重影响单个神经元的计算,但它们在新皮层gaba能中间神经元(INs)中的作用仍然知之甚少。我们发现两种主要的皮质IN亚型——生长抑素(SST)和小白蛋白(PV)表达细胞——使用不同的策略沿其树突分布和整合兴奋性突触输入。SST-INs表现为依赖NMDAR的超线性整合,突触分布均匀,而PV-INs表现为亚线性整合,近端树突突触密度较高,NMDAR表达低。区室模型显示,虽然这两种策略都提高了突触的有效性,但被动整合和近端偏置输入能够精确跟踪PV-INs中快速变化的信号,而SST-INs中的NMDARs促进更广泛的时间整合,支持持续的活动,以适应较慢的输入变化。与这些预测一致,体内测量显示PV-和SST-INs的动态视觉反应形状不同。因此,树突机制的异质性强烈影响皮质回路中in特异性抑制的时空动态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neuron
Neuron 医学-神经科学
CiteScore
24.50
自引率
3.10%
发文量
382
审稿时长
1 months
期刊介绍: Established as a highly influential journal in neuroscience, Neuron is widely relied upon in the field. The editors adopt interdisciplinary strategies, integrating biophysical, cellular, developmental, and molecular approaches alongside a systems approach to sensory, motor, and higher-order cognitive functions. Serving as a premier intellectual forum, Neuron holds a prominent position in the entire neuroscience community.
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