Hutt Axel, Lefebvre Jérémie
Team MIMESIS, INRIA Nancy - Grand Est, Strasbourg, France.
Department of Biology, University of Ottawa, Ottawa, ON, K1N 6N5, Canada.
Brain Topogr. 2022 Jan;35(1):108-120. doi: 10.1007/s10548-021-00855-z. Epub 2021 Jun 23.
Arousal results in widespread activation of brain areas to increase their response in task and behavior relevant ways. Mediated by the Ascending Reticular Arousal System (ARAS), arousal-dependent inputs interact with neural circuitry to shape their dynamics. In the occipital cortex, such inputs may trigger shifts between dominant oscillations, where activity is replaced by activity, or vice versa. A salient example of this are spectral power alternations observed while eyes are opened and/or closed. These transitions closely follow fluctuations in arousal, suggesting a common origin. To better understand the mechanisms at play, we developed and analyzed a computational model composed of two modules: a thalamocortical feedback circuit coupled with a superficial cortical network. Upon activation by noise-like inputs originating from the ARAS, our model is able to demonstrate that noise-driven non-linear interactions mediate transitions in dominant peak frequency, resulting in the simultaneous suppression of limit cycle activity and the emergence of oscillations through coherence resonance. Reduction in input provoked the reverse effect - leading to anticorrelated transitions between and power. Taken together, these results shed a new light on how arousal shapes oscillatory brain activity.
觉醒会导致大脑区域广泛激活,从而以与任务和行为相关的方式增强其反应。在网状上行激活系统(ARAS)的介导下,与觉醒相关的输入与神经回路相互作用,塑造其动态变化。在枕叶皮质,此类输入可能会触发主导振荡之间的转换,即一种活动被另一种活动取代,反之亦然。一个突出的例子是在眼睛睁开和/或闭合时观察到的频谱功率交替。这些转换紧密跟随觉醒的波动,表明存在共同的起源。为了更好地理解其中的机制,我们开发并分析了一个由两个模块组成的计算模型:一个丘脑皮质反馈回路与一个浅层皮质网络相耦合。在由源自ARAS的类噪声输入激活后,我们的模型能够证明噪声驱动的非线性相互作用介导了主导峰值频率的转换,导致极限环活动的同时抑制以及通过相干共振出现另一种振荡。输入减少会引发相反的效应——导致两种功率之间的反相关转换。综上所述,这些结果为觉醒如何塑造振荡性脑活动提供了新的见解。