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皮质网络中的双稳定性、因果关系和复杂性:一项体外扰动研究。

Bistability, Causality, and Complexity in Cortical Networks: An In Vitro Perturbational Study.

机构信息

IDIBAPS (Institut D'Investigacions Biomèdiques August Pi i Sunyer), Roselló 149-153, Barcelona, Spain.

Federal University of São Paulo, Institute of Science and Technology, Av. Cesare Monsueto Giulio Lattes, 1211 - Jardim Santa Ines I, São José dos Campos - SP, Brazil.

出版信息

Cereb Cortex. 2018 Jul 1;28(7):2233-2242. doi: 10.1093/cercor/bhx122.

Abstract

Measuring the spatiotemporal complexity of cortical responses to direct perturbations provides a reliable index of the brain's capacity for consciousness in humans under both physiological and pathological conditions. Upon loss of consciousness, the complex pattern of causal interactions observed during wakefulness collapses into a stereotypical slow wave, suggesting that cortical bistability may play a role. Bistability is mainly expressed in the form of slow oscillations, a default pattern of activity that emerges from cortical networks in conditions of functional or anatomical disconnection. Here, we employ an in vitro model to understand the relationship between bistability and complexity in cortical circuits. We adapted the perturbational complexity index applied in humans to electrically stimulated cortical slices under different neuromodulatory conditions. At this microscale level, we demonstrate that perturbational complexity can be effectively modulated by pharmacological reduction of bistability and, albeit to a lesser extent, by enhancement of excitability, providing mechanistic insights into the macroscale measurements performed in humans.

摘要

测量皮质反应对直接干扰的时空复杂性,为在生理和病理条件下测量人类大脑意识能力提供了一个可靠的指标。在失去意识后,清醒状态下观察到的复杂因果相互作用模式崩溃为典型的慢波,表明皮质双稳态可能起作用。双稳态主要以慢振荡的形式表现出来,这是一种活动的默认模式,在功能或解剖连接中断的情况下从皮质网络中出现。在这里,我们采用体外模型来理解皮质回路中双稳态和复杂性之间的关系。我们将在人类中应用的扰动复杂性指数适用于在不同神经调节条件下电刺激的皮质切片。在这个微观尺度上,我们证明了通过药理学降低双稳态可以有效地调节扰动复杂性,尽管在较小程度上可以通过增强兴奋性来调节,这为在人类中进行的宏观尺度测量提供了机制上的见解。

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