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多层网络框架揭示了皮质嗅觉感知中的跨频耦合枢纽。

Multilayer Network Framework Reveals Cross-Frequency Coupling Hubs in Cortical Olfactory Perception.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:3338-3341. doi: 10.1109/EMBC48229.2022.9871445.

Abstract

Olfactory perception is shaped by dynamic in-teractions among networks of widely distributed brain regions involved in several neurocognitive processes. However, the neural mechanisms that enable effective coordination and integrative processing across these brain regions, which have different functions and operating characteristics, are not yet fully understood. In this study we use electroencephalography (EEG) signals and a multilayer network formalism to model cross-frequency coupling across the brain and identify brain regions that operate as connecting hubs, thus facilitating inte-grative function. To this goal, we investigate α-γ coupling and θ-γ coupling during exposure to olfactory stimuli of different pleasantness levels. We found that a wider distributed network of hubs emerges in the higher pleasantness condition and that significant differences in the hub connectivity are located in the middle frontal and central regions. Our results indicate the consistent functional role that γ band activity plays in information integration in olfactory perception.

摘要

嗅觉感知是由广泛分布于大脑区域的网络之间的动态相互作用形成的,这些网络参与了几个神经认知过程。然而,使这些具有不同功能和运行特点的大脑区域能够进行有效协调和综合处理的神经机制尚不完全清楚。在这项研究中,我们使用脑电图(EEG)信号和多层网络形式主义来对大脑中的跨频耦合进行建模,并识别出作为连接枢纽的大脑区域,从而促进整合功能。为此,我们在暴露于不同愉悦水平的嗅觉刺激下,研究了α-γ 耦合和θ-γ 耦合。我们发现,在更高愉悦度的情况下,出现了更广泛分布的枢纽网络,而在中额和中央区域,枢纽连接的显著差异位于。我们的结果表明,γ 波段活动在嗅觉感知中的信息整合中起着一致的功能作用。

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