• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Synchrony in Networks of Type 2 Interneurons is More Robust to Noise with Hyperpolarizing Inhibition Compared to Shunting Inhibition in Both the Stochastic Population Oscillator and the Coupled Oscillator Regimes.与分流抑制相比,在随机群体振荡器和耦合振荡器机制中,2型中间神经元网络中的同步在超极化抑制下对噪声更具鲁棒性。
bioRxiv. 2023 Oct 2:2023.09.29.560219. doi: 10.1101/2023.09.29.560219.
2
Synchrony in Networks of Type 2 Interneurons Is More Robust to Noise with Hyperpolarizing Inhibition Compared to Shunting Inhibition in Both the Stochastic Population Oscillator and the Coupled Oscillator Regimes.与超极化抑制相比,在随机群体振荡器和耦合振荡器两种状态下,2 型中间神经元网络中的同步对去极化抑制的噪声具有更强的鲁棒性。
eNeuro. 2024 Mar 27;11(3). doi: 10.1523/ENEURO.0399-23.2024. Print 2024 Mar.
3
Resonant Interneurons Can Increase Robustness of Gamma Oscillations.共振中间神经元可增强伽马振荡的稳健性。
J Neurosci. 2015 Nov 25;35(47):15682-95. doi: 10.1523/JNEUROSCI.2601-15.2015.
4
Shunting Inhibition Improves Synchronization in Heterogeneous Inhibitory Interneuronal Networks with Type 1 Excitability Whereas Hyperpolarizing Inhibition Is Better for Type 2 Excitability.分流抑制改善 1 型兴奋性异质抑制性神经元网络的同步性,而超极化抑制对 2 型兴奋性更好。
eNeuro. 2020 May 8;7(3). doi: 10.1523/ENEURO.0464-19.2020. Print 2020 May/Jun.
5
Synchrony of neuronal oscillations controlled by GABAergic reversal potentials.由GABA能反转电位控制的神经元振荡同步性。
Neural Comput. 2007 Mar;19(3):706-29. doi: 10.1162/neco.2007.19.3.706.
6
Interplay of intrinsic and synaptic conductances in the generation of high-frequency oscillations in interneuronal networks with irregular spiking.内在电导与突触电导在具有不规则放电的中间神经元网络高频振荡产生中的相互作用。
PLoS Comput Biol. 2014 May 1;10(5):e1003574. doi: 10.1371/journal.pcbi.1003574. eCollection 2014 May.
7
Synchrony with shunting inhibition in a feedforward inhibitory network.前馈抑制网络中与分流抑制的同步性。
J Comput Neurosci. 2010 Apr;28(2):305-21. doi: 10.1007/s10827-009-0210-2. Epub 2010 Feb 6.
8
Synchronization properties of spindle oscillations in a thalamic reticular nucleus model.丘脑网状核模型中纺锤体振荡的同步特性
J Neurophysiol. 1994 Sep;72(3):1109-26. doi: 10.1152/jn.1994.72.3.1109.
9
Properties of precise firing synchrony between synaptically coupled cortical interneurons depend on their mode of coupling.突触耦合的皮层中间神经元之间精确放电同步的特性取决于它们的耦合方式。
J Neurophysiol. 2015 Jul;114(1):624-37. doi: 10.1152/jn.00304.2015. Epub 2015 May 13.
10
Inhibition potentiates the synchronizing action of electrical synapses.抑制作用增强了电突触的同步作用。
Front Comput Neurosci. 2007 Nov 2;1:8. doi: 10.3389/neuro.10.008.2007. eCollection 2007.

与分流抑制相比,在随机群体振荡器和耦合振荡器机制中,2型中间神经元网络中的同步在超极化抑制下对噪声更具鲁棒性。

Synchrony in Networks of Type 2 Interneurons is More Robust to Noise with Hyperpolarizing Inhibition Compared to Shunting Inhibition in Both the Stochastic Population Oscillator and the Coupled Oscillator Regimes.

作者信息

Baravalle Roman, Canavier Carmen C

出版信息

bioRxiv. 2023 Oct 2:2023.09.29.560219. doi: 10.1101/2023.09.29.560219.

DOI:10.1101/2023.09.29.560219
PMID:37873166
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10592850/
Abstract

UNLABELLED

Synchronization in the gamma band (30-80 Hz) is mediated by PV+ inhibitory interneurons, and evidence is accumulating for the essential role of gamma oscillations in cognition. Oscillations can arise in inhibitory networks via synaptic interactions between individual oscillatory neurons (mean-driven) or via strong recurrent inhibition that destabilizes the stationary background firing rate in the fluctuation-driven balanced state, causing an oscillation in the population firing rate. Previous theoretical work focused on model neurons with Hodgkin's type 1 excitability (integrators) connected by current-based synapses. Here we show that networks comprised of simple type 2 oscillators (resonators) exhibit a supercritical Hopf bifurcation between synchrony and asynchrony and a gradual transition via cycle skipping from coupled oscillators to stochastic population oscillator, as previously shown for type 1. We extended our analysis to homogeneous networks with conductance rather than current based synapses and found that networks with hyperpolarizing inhibitory synapses were more robust to noise than those with shunting synapses, both in the coupled oscillator and stochastic population oscillator regime. Assuming that reversal potentials are uniformly distributed between shunting and hyperpolarized values, as observed in one experimental study, converting synapses to purely hyperpolarizing favored synchrony in all cases, whereas conversion to purely shunting synapses made synchrony less robust except at very high conductance strengths. In mature neurons the synaptic reversal potential is controlled by chloride cotransporters that control the intracellular concentrations of chloride and bicarbonate ions, suggesting these transporters as a potential therapeutic target to enhance gamma synchrony and cognition.

SIGNIFICANCE STATEMENT

Brain rhythms in the gamma frequency band (30-80 Hz) depend on the activity of inhibitory interneurons and evidence for a causal role for gamma oscillations in cognitive functions is accumulating. Here we extend previous studies on synchronization mechanisms to interneurons that have an abrupt threshold frequency below which they cannot sustain firing. In addition to current based synapses, we examined inhibitory networks with conductance based synapses. We found that if the reversal potential for inhibition was below the average membrane potential (hyperpolarizing), synchrony was more robust to noise than if the reversal potential was very close to the average potential (shunting). These results have implications for therapies to ameliorate cognitive deficits.

摘要

未标注

γ波段(30 - 80赫兹)的同步由PV +抑制性中间神经元介导,并且越来越多的证据表明γ振荡在认知中起着至关重要的作用。振荡可以通过单个振荡神经元之间的突触相互作用(均值驱动)在抑制性网络中产生,或者通过强烈的递归抑制产生,这种抑制会使波动驱动的平衡状态下的静止背景放电率不稳定,从而导致群体放电率出现振荡。先前的理论工作主要集中在由基于电流的突触连接的具有霍奇金1型兴奋性的模型神经元(积分器)上。在这里,我们表明由简单的2型振荡器(谐振器)组成的网络在同步和异步之间表现出超临界霍普夫分岔,并且如先前在1型振荡器中所示,通过从耦合振荡器到随机群体振荡器的周期跳跃实现逐渐转变。我们将分析扩展到具有基于电导而非基于电流的突触的均匀网络,发现具有超极化抑制性突触的网络在耦合振荡器和随机群体振荡器状态下都比具有分流突触的网络对噪声更具鲁棒性。假设反转电位在分流和超极化值之间均匀分布,正如在一项实验研究中观察到的那样,在所有情况下将突触转换为纯超极化有利于同步,而转换为纯分流突触会使同步性降低,除非在非常高的电导强度下。在成熟神经元中,突触反转电位由控制细胞内氯离子和碳酸氢根离子浓度的氯离子共转运体控制,这表明这些转运体是增强γ同步性和认知的潜在治疗靶点。

意义声明

γ频段(30 - 80赫兹)的脑节律依赖于抑制性中间神经元的活动,并且γ振荡在认知功能中起因果作用的证据正在积累。在这里,我们将先前关于同步机制的研究扩展到具有突然阈值频率(低于该频率它们无法维持放电)的中间神经元。除了基于电流的突触外,我们还研究了具有基于电导的突触的抑制性网络。我们发现,如果抑制的反转电位低于平均膜电位(超极化),同步对噪声的鲁棒性比反转电位非常接近平均电位(分流)时更强。这些结果对改善认知缺陷的治疗方法具有启示意义。