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theta 嵌套快速振荡的神经元网络模型预测了异质性、缝隙连接和短期抑郁对去极化抑制和分流抑制的不同影响。

Interneuronal network model of theta-nested fast oscillations predicts differential effects of heterogeneity, gap junctions and short term depression for hyperpolarizing versus shunting inhibition.

机构信息

Louisiana State University Health Sciences Center, Department of Cell Biology and Anatomy, New Orleans, Louisiana, United States of America.

Department of Biomedical Engineering, Center for Systems Neuroscience, Neurophotonics Center, Boston University, Boston, Massachusetts, United States of America.

出版信息

PLoS Comput Biol. 2022 Dec 1;18(12):e1010094. doi: 10.1371/journal.pcbi.1010094. eCollection 2022 Dec.

DOI:10.1371/journal.pcbi.1010094
PMID:36455063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9747050/
Abstract

Theta and gamma oscillations in the hippocampus have been hypothesized to play a role in the encoding and retrieval of memories. Recently, it was shown that an intrinsic fast gamma mechanism in medial entorhinal cortex can be recruited by optogenetic stimulation at theta frequencies, which can persist with fast excitatory synaptic transmission blocked, suggesting a contribution of interneuronal network gamma (ING). We calibrated the passive and active properties of a 100-neuron model network to capture the range of passive properties and frequency/current relationships of experimentally recorded PV+ neurons in the medial entorhinal cortex (mEC). The strength and probabilities of chemical and electrical synapses were also calibrated using paired recordings, as were the kinetics and short-term depression (STD) of the chemical synapses. Gap junctions that contribute a noticeable fraction of the input resistance were required for synchrony with hyperpolarizing inhibition; these networks exhibited theta-nested high frequency oscillations similar to the putative ING observed experimentally in the optogenetically-driven PV-ChR2 mice. With STD included in the model, the network desynchronized at frequencies above ~200 Hz, so for sufficiently strong drive, fast oscillations were only observed before the peak of the theta. Because hyperpolarizing synapses provide a synchronizing drive that contributes to robustness in the presence of heterogeneity, synchronization decreases as the hyperpolarizing inhibition becomes weaker. In contrast, networks with shunting inhibition required non-physiological levels of gap junctions to synchronize using conduction delays within the measured range.

摘要

海马体中的θ和γ振荡被假设在记忆的编码和提取中发挥作用。最近,研究表明,中内嗅皮层中的固有快γ机制可以通过θ频率的光遗传学刺激来招募,即使快速兴奋性突触传递被阻断,这种机制仍然存在,这表明中间神经元网络γ(ING)的贡献。我们校准了一个 100 个神经元模型网络的被动和主动特性,以捕获中内嗅皮层(mEC)中实验记录的 PV+神经元的被动特性范围和频率/电流关系。还使用配对记录校准了化学和电突触的强度和概率,以及化学突触的动力学和短期抑制(STD)。间隙连接对输入电阻的一个显著部分做出贡献,对于与去极化抑制的同步是必需的;这些网络表现出类似于在光遗传学驱动的 PV-ChR2 小鼠中实验观察到的 ING 的θ嵌套高频振荡。由于 STD 包含在模型中,网络在高于约 200 Hz 的频率下解同步,因此对于足够强的驱动,只有在θ的峰值之前才会观察到快速振荡。由于去极化突触提供了一种同步驱动,有助于在异质性存在的情况下的稳健性,因此随着去极化抑制的减弱,同步性会降低。相比之下,具有分流抑制的网络需要非生理水平的间隙连接,才能在测量范围内的传导延迟下同步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/5b2f44ad874b/pcbi.1010094.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/75fe1d0e2839/pcbi.1010094.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/a624df1db2af/pcbi.1010094.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/ccd9d0f73e13/pcbi.1010094.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/6afeab9e7891/pcbi.1010094.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/518e5c2808c4/pcbi.1010094.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/7e178a2b7649/pcbi.1010094.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/409e82918291/pcbi.1010094.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/33bd1ab2c97f/pcbi.1010094.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/5b2f44ad874b/pcbi.1010094.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/75fe1d0e2839/pcbi.1010094.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/a624df1db2af/pcbi.1010094.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/ccd9d0f73e13/pcbi.1010094.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/6afeab9e7891/pcbi.1010094.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/518e5c2808c4/pcbi.1010094.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/7e178a2b7649/pcbi.1010094.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/409e82918291/pcbi.1010094.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/33bd1ab2c97f/pcbi.1010094.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c248/9747050/5b2f44ad874b/pcbi.1010094.g009.jpg

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