The visual cortex produces gamma band echo in response to broadband visual flicker.

The visual cortex produces gamma band echo in response to broadband visual flicker.
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DOI:
10.1371/journal.pcbi.1009046
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发表时间:
2021-06
影响因子:
4.3
通讯作者:
Jensen O
Jensen O
中科院分区:
生物学2区
文献类型:
--
作者:
Zhigalov A;Duecker K;Jensen O

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这项研究的目的是通过用宽带随机视觉闪烁来驱动人类视觉皮质的网络动力学。我们在测量脑磁图的同时应用了宽带闪烁(1-720赫兹),然后估计了视觉输入和脑磁图反应之间的时间反应函数(TRF)。这个TRF在40-60赫兹伽马范围内以及在8-12赫兹阿尔法频段显示出早期的反应。虽然伽马频段的反应是新颖的,但后者被称为阿尔法频段知觉回声。伽马回波先于阿尔法知觉回波。伽马回波的主要频率是特定于受试者的,因此反映了早期视觉皮质的个体动力学特性。为了理解产生伽马回波的神经元机制,我们实现了一个锥体-神经元间伽马(PING)模型,该模型在存在恒定输入电流的情况下产生伽马振荡。施加模拟视觉刺激的宽带输入电流使我们能够估计输入电流和群体响应之间的TRF(类似于局部场电位)。TRF显示了一个伽马回波,与我们在脑磁图数据中观察到的类似。我们的结果表明,即使在没有持续伽马振荡的情况下,视觉伽马回波也可以用ping模型的动力学来解释。支配视觉系统的神经动力学的特性引起了激烈的争论。一些人强调神经元的放电率和对视觉刺激的诱发活动,而另一些人则强调神经元的振荡动力学。为了研究视觉系统的动力学特性,我们记录了使用宽带(1-720赫兹)视觉闪烁刺激视觉系统时的脑磁图。通过估计视觉输入和神经元活动之间的时间响应函数(类似于互相关),我们在伽马频段显示了明确的响应,我们称之为伽马回波。然后我们构建了一个生理上真实的网络模型,它可以通过锥体-中间神经元伽马(PING)机制产生伽马波段振荡。这个模型使我们能够解释经验性地观察到的伽马频段的反应,并为控制早期视觉系统的神经元动力学提供了新的见解。现在,准备进一步研究伽马回声是如何被空间注意等任务调制的,以及揭示回声如何在视觉层次中传播。
The aim of this study is to uncover the network dynamics of the human visual cortex by driving it with a broadband random visual flicker. We here applied a broadband flicker (1–720 Hz) while measuring the MEG and then estimated the temporal response function (TRF) between the visual input and the MEG response. This TRF revealed an early response in the 40–60 Hz gamma range as well as in the 8–12 Hz alpha band. While the gamma band response is novel, the latter has been termed the alpha band perceptual echo. The gamma echo preceded the alpha perceptual echo. The dominant frequency of the gamma echo was subject-specific thereby reflecting the individual dynamical properties of the early visual cortex. To understand the neuronal mechanisms generating the gamma echo, we implemented a pyramidal-interneuron gamma (PING) model that produces gamma oscillations in the presence of constant input currents. Applying a broadband input current mimicking the visual stimulation allowed us to estimate TRF between the input current and the population response (akin to the local field potentials). The TRF revealed a gamma echo that was similar to the one we observed in the MEG data. Our results suggest that the visual gamma echo can be explained by the dynamics of the PING model even in the absence of sustained gamma oscillations. The properties of the neuronal dynamics governing the visual system are highly debated. While some emphasize the neuronal firing rate and evoked activity in response to visual stimuli, others emphasize the oscillatory neuronal dynamics. To investigate the dynamical properties of the visual system, we recorded the magnetoencephalography while stimulating the visual system using a broadband (1–720 Hz) visual flicker. By estimating the temporal response function (similar to cross-correlation) between the visual input and neuronal activity, we demonstrated a clear response in the gamma band that we term the gamma echo. We then constructed a physiologically realistic network model that could generate gamma-band oscillations by a pyramidal-interneuron gamma (PING) mechanism. This model allowed us to account for empirically observed response in the gamma band, and to provide novel insight on the neuronal dynamics governing the early visual system. The stage is now set for further investigating how the gamma echo is modulated by tasks such as spatial attention as well as uncovering how the echo might propagate in the visual hierarchy.
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