Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom.
PLoS Comput Biol. 2021 Jun 1;17(6):e1009046. doi: 10.1371/journal.pcbi.1009046. eCollection 2021 Jun.
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.
本研究旨在通过宽带随机视觉闪烁来揭示人类视觉皮层的网络动力学。我们在此应用宽带闪烁(1-720 Hz),同时测量 MEG,并估计视觉输入和 MEG 响应之间的时间响应函数(TRF)。该 TRF 揭示了 40-60 Hz 伽马频带以及 8-12 Hz 阿尔法频带中的早期响应。虽然伽马频带响应是新颖的,但后者被称为阿尔法频带感知回声。伽马回波先于阿尔法感知回波。伽马回波的主导频率是特定于个体的,从而反映了早期视觉皮层的个体动力学特性。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-中间神经元伽马(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。应用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 揭示了一个类似于我们在 MEG 数据中观察到的伽马回波。我们的结果表明,即使在没有持续伽马振荡的情况下,PING 模型的动力学也可以解释视觉伽马回波。