Homeostatic mechanisms regulate distinct aspects of cortical circuit dynamics.
Homeostatic mechanisms regulate distinct aspects of cortical circuit dynamics.
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DOI：
10.1073/pnas.1918368117
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发表时间：
2020-09-29
影响因子：
11.1
通讯作者：
Gjorgjieva J
中科院分区：
文献类型：
--
作者：
Wu YK;Hengen KB;Turrigiano GG;Gjorgjieva J
尽管对内稳态进行了数十年的深入研究，但受内稳态调节的网络特性仍然难以捉摸。此外，各种形式的内稳态可塑性是简单的冗余还是具有不同的功能尚不清楚。在这里，我们的数据表明，功能相关性受到稳态调节，无论是在平均振幅和它们的结构方面。计算模型表明突触标度对相关性和网络结构的恢复至关重要，而内在可塑性对扰动后放电率的恢复至关重要，这表明突触标度和内在可塑性明显有助于稳态调节。体内平衡对于抵消Hebbian可塑性的不稳定效应是必不可少的。虽然通常认为内稳态调节突触强度、膜兴奋性和放电率，但其在神经回路和网络水平上的作用尚不清楚。在这里，我们发现在长时间的视觉剥夺中，自由行为的啮齿动物的高阶网络特性发生了变化。引人注目的是，我们的数据揭示了功能两两相关及其结构受到稳态调节。利用一个计算模型，我们证明了不同的可塑性和稳态机制的相互作用可以捕捉到发射速率的初始下降和延迟恢复以及实验观察到的相关性。此外，我们的模型表明突触尺度对相关性和网络结构的恢复至关重要，而内在可塑性对放电率的反弹至关重要，这表明突触尺度和内在可塑性在自稳态调节网络动力学方面具有不同的功能。
Despite decades of intense studies on homeostasis, network properties undergoing homeostatic regulation remain elusive. Furthermore, whether diverse forms of homeostatic plasticity are simply redundant or serve distinct functions is unclear. Here, our data show that functional correlations are subject to homeostatic regulation, both in terms of average amplitude and their structure. A computational model demonstrates that synaptic scaling is essential for the restoration of correlations and network structure, whereas intrinsic plasticity is crucial for the recovery of firing rates after perturbations, suggesting that synaptic scaling and intrinsic plasticity distinctly contribute to homeostatic regulation. Homeostasis is indispensable to counteract the destabilizing effects of Hebbian plasticity. Although it is commonly assumed that homeostasis modulates synaptic strength, membrane excitability, and firing rates, its role at the neural circuit and network level is unknown. Here, we identify changes in higher-order network properties of freely behaving rodents during prolonged visual deprivation. Strikingly, our data reveal that functional pairwise correlations and their structure are subject to homeostatic regulation. Using a computational model, we demonstrate that the interplay of different plasticity and homeostatic mechanisms can capture the initial drop and delayed recovery of firing rates and correlations observed experimentally. Moreover, our model indicates that synaptic scaling is crucial for the recovery of correlations and network structure, while intrinsic plasticity is essential for the rebound of firing rates, suggesting that synaptic scaling and intrinsic plasticity can serve distinct functions in homeostatically regulating network dynamics.
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影响因子：
25
作者：
Cruikshank, Scott J.;Lewis, Timothy J.;Connors, Barry W.
通讯作者：
Connors, Barry W.
影响因子：
16.2
作者：
Hengen KB;Lambo ME;Van Hooser SD;Katz DB;Turrigiano GG
通讯作者：
Turrigiano GG
DOI：
10.1523/jneurosci.4502-12.2013
发表时间：
2013-05-15
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Lambo ME;Turrigiano GG
通讯作者：
Turrigiano GG
影响因子：
56.9
作者：
LEMASSON, G;MARDER, E;ABBOTT, LF
通讯作者：
ABBOTT, LF
影响因子：
16.2
作者：
Barnes, Samuel J.;Sammons, Rosanna P.;Keck, Tara
通讯作者：
Keck, Tara