初级视觉皮层中与局部、水平和反馈连接有关的不同伽马振荡的产生和调制:大规模网络模型研究

IF 3.1 4区 医学 Q2 Medicine Neural Plasticity Pub Date : 2021-01-18 eCollection Date: 2021-01-01 DOI:10.1155/2021/8874516
Chuanliang Han, Tian Wang, Yujie Wu, Yang Li, Yi Yang, Liang Li, Yizheng Wang, Dajun Xing
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引用次数: 0

摘要

局部场电位(LFP)中的伽马振荡(GAMMA)是一种常见于许多脑区的同步活动,它被认为是大脑中网络连接的功能特征,在信息处理中发挥着重要作用。研究表明,GAMMA 的响应特性与通过局部递归连接(RC)、前馈连接(FF)和反馈连接(FB)进行的神经交互有关。然而,GAMMA 与大脑长程水平连接(HC)之间的关系仍不清楚。在这里,我们的目的是在初级视觉皮层(V1)的大规模网络模型中了解这一问题。我们创建了一个由多个兴奋和抑制单元组成的计算模型,该模型中V1的RC、FF、FB和HC具有生物学上可信的连接模式;然后,我们对网络模型中不同强度水平的HC和其他连接类型的GAMMA进行了量化。令人惊讶的是,我们发现 HC 和 FB 这两种大规模连接类型在产生和调节 GAMMA 的过程中发挥着截然不同的作用。FB和HC都能调节由FF和RC产生的快速伽马振荡(约50-60赫兹),而HC则能产生约30赫兹的新伽马振荡,其功率和峰值频率也可由FB调节。此外,在同时具有 HC 和 FB 的网络中,两种 GAMMA 的响应特性是不同的,这与最近在猕猴 V1 中发现的不同 GAMMA 的实验结果高度一致。这些结果表明,不同的 GAMMA 是不同空间尺度神经连接的特征,它们可能与不同的信息整合功能有关。我们的研究首次在猕猴V1的机理模型中指出了不同GAMMAs的基础回路,这可能为研究其他皮层区域的多重伽马振荡提供了一个新的框架。
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The Generation and Modulation of Distinct Gamma Oscillations with Local, Horizontal, and Feedback Connections in the Primary Visual Cortex: A Model Study on Large-Scale Networks.

Gamma oscillation (GAMMA) in the local field potential (LFP) is a synchronized activity commonly found in many brain regions, and it has been thought as a functional signature of network connectivity in the brain, which plays important roles in information processing. Studies have shown that the response property of GAMMA is related to neural interaction through local recurrent connections (RC), feed-forward (FF), and feedback (FB) connections. However, the relationship between GAMMA and long-range horizontal connections (HC) in the brain remains unclear. Here, we aimed to understand this question in a large-scale network model for the primary visual cortex (V1). We created a computational model composed of multiple excitatory and inhibitory units with biologically plausible connectivity patterns for RC, FF, FB, and HC in V1; then, we quantitated GAMMA in network models at different strength levels of HC and other connection types. Surprisingly, we found that HC and FB, the two types of large-scale connections, play very different roles in generating and modulating GAMMA. While both FB and HC modulate a fast gamma oscillation (around 50-60 Hz) generated by FF and RC, HC generates a new GAMMA oscillating around 30 Hz, whose power and peak frequency can also be modulated by FB. Furthermore, response properties of the two GAMMAs in a network with both HC and FB are different in a way that is highly consistent with a recent experimental finding for distinct GAMMAs in macaque V1. The results suggest that distinct GAMMAs are signatures for neural connections in different spatial scales and they might be related to different functions for information integration. Our study, for the first time, pinpoints the underlying circuits for distinct GAMMAs in a mechanistic model for macaque V1, which might provide a new framework to study multiple gamma oscillations in other cortical regions.

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来源期刊
Neural Plasticity
Neural Plasticity Neuroscience-Neurology
CiteScore
5.70
自引率
0.00%
发文量
0
审稿时长
1 months
期刊介绍: Neural Plasticity is an international, interdisciplinary journal dedicated to the publication of articles related to all aspects of neural plasticity, with special emphasis on its functional significance as reflected in behavior and in psychopathology. Neural Plasticity publishes research and review articles from the entire range of relevant disciplines, including basic neuroscience, behavioral neuroscience, cognitive neuroscience, biological psychology, and biological psychiatry.
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