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异丙酚诱导的无反应性与大脑网络相变有关。

Propofol-induced Unresponsiveness Is Associated with a Brain Network Phase Transition.

机构信息

Department of Anesthesiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

the Wellcome Center for Integrative Neuroimaging and Nuffield Division of Anaesthetics, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.

出版信息

Anesthesiology. 2022 Mar 1;136(3):420-433. doi: 10.1097/ALN.0000000000004095.

Abstract

BACKGROUND

The wakeful brain can easily access and coordinate a large repertoire of different states-dynamics suggestive of "criticality." Anesthesia causes loss of criticality at the level of electroencephalogram waveforms, but the criticality of brain network connectivity is less well studied. The authors hypothesized that propofol anesthesia is associated with abrupt and divergent changes in brain network connectivity for different frequencies and time scales-characteristic of a phase transition, a signature of loss of criticality.

METHODS

As part of a previously reported study, 16 volunteers were given propofol in slowly increasing brain concentrations, and their behavioral responsiveness was assessed. The network dynamics from 31-channel electroencephalogram data were calculated from 1 to 20 Hz using four phase and envelope amplitude-based functional connectivity metrics that covered a wide range of time scales from milliseconds to minutes. The authors calculated network global efficiency, clustering coefficient, and statistical complexity (using the Jensen-Shannon divergence) for each functional connectivity metric and compared their findings with those from an in silico Kuramoto network model.

RESULTS

The transition to anesthesia was associated with critical slowing and then abrupt profound decreases in global network efficiency of 2 Hz power envelope metrics (from mean ± SD of 0.64 ± 0.15 to 0.29 ± 0.28 absolute value, P < 0.001, for medium; and from 0.47 ± 0.13 to 0.24 ± 0.21, P < 0.001, for long time scales) but with an increase in global network efficiency for 10 Hz weighted phase lag index (from 0.30 ± 0.20 to 0.72 ± 0.06, P < 0.001). Network complexity decreased for both the 10 Hz hypersynchronous (0.44 ± 0.13 to 0.23 ± 0.08, P < 0.001), and the 2 Hz asynchronous (0.73 ± 0.08 to 0.40 ± 0.13, P < 0.001) network states. These patterns of network coupling were consistent with those of the Kuramoto model of an order-disorder phase transition.

CONCLUSIONS

Around loss of behavioral responsiveness, a small increase in propofol concentrations caused a collapse of long time scale power envelope connectivity and an increase in 10 Hz phase-based connectivity-suggestive of a brain network phase transition.

摘要

背景

清醒的大脑可以轻松地访问和协调大量不同的状态-动态,这表明存在“临界性”。麻醉会导致脑电图波形水平的临界性丧失,但脑网络连接的临界性研究较少。作者假设,异丙酚麻醉与不同频率和时间尺度的脑网络连接的突然和发散变化相关-这是相变的特征,也是临界性丧失的标志。

方法

作为先前报告的研究的一部分,16 名志愿者接受了逐渐增加脑浓度的异丙酚,同时评估了他们的行为反应能力。使用基于相位和包络幅度的四种功能连接度量,从 31 通道脑电图数据中计算出 1 至 20 Hz 的网络动力学,这些度量涵盖了从毫秒到分钟的广泛时间尺度。作者计算了每种功能连接度量的网络全局效率、聚类系数和统计复杂性(使用 Jensen-Shannon 散度),并将其发现与基于计算机的 Kuramoto 网络模型的发现进行了比较。

结果

从清醒状态向麻醉状态的转变与临界减速有关,随后 2 Hz 功率包络度量的全局网络效率突然大幅下降(从中值±SD 的 0.64±0.15 到 0.29±0.28 绝对值,P<0.001,中值时间尺度;0.47±0.13 到 0.24±0.21,P<0.001,长时间尺度),但 10 Hz 加权相位滞后指数的全局网络效率增加(从 0.30±0.20 到 0.72±0.06,P<0.001)。10 Hz 超同步(0.44±0.13 到 0.23±0.08,P<0.001)和 2 Hz 异步(0.73±0.08 到 0.40±0.13,P<0.001)网络状态的网络复杂性均降低。这些网络耦合模式与 Kuramoto 模型的有序-无序相变一致。

结论

在失去行为反应能力的同时,异丙酚浓度的小幅度增加导致长时间尺度功率包络连接的崩溃和 10 Hz 基于相位的连接增加-表明存在脑网络相变。

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