Consciousness & Brain Functional Complexity in Propofol Anaesthesia
Consciousness & Brain Functional Complexity in Propofol Anaesthesia
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DOI：
10.1038/s41598-020-57695-3
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发表时间：
2019-07
影响因子：
4.6
通讯作者：
Thomas F. Varley;A. Luppi;I. Pappas;L. Naci;R. Adapa;A. Owen;D. K. Menon;E. Stamatakis
中科院分区：
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作者：
Thomas F. Varley;A. Luppi;I. Pappas;L. Naci;R. Adapa;A. Owen;D. K. Menon;E. Stamatakis
大脑可能是人类已知的最复杂的系统，它的复杂性被用来解释意识的出现。然而，复杂性已经被多个不同的领域以多种方式定义：在这里，我们研究了时间和拓扑域中的算法和过程复杂性的测量，在功能性MRI BOLD信号数据上进行测试，这些数据是从使用麻醉剂丙泊酚进行不同程度镇静的个体中获得的，在两个单独的数据集中复制我们的结果。我们证明，各种措施是不同的能够区分镇静水平，与时间的措施显示出更高的灵敏度。此外，我们表明，所有的措施是强烈相关的一个单一的基本结构解释大部分的方差，作为评估的主成分分析，我们解释为衡量我们的数据的“整体复杂性”。这种整体复杂性也能够区分镇静水平和丙泊酚的血清浓度，支持意识与复杂性相关的假设-与后者的测量方式无关。
The brain is possibly the most complex system known to mankind, and its complexity has been called upon to explain the emergence of consciousness. However, complexity has been defined in many ways by multiple different fields: here, we investigate measures of algorithmic and process complexity in both the temporal and topological domains, testing them on functional MRI BOLD signal data obtained from individuals undergoing various levels of sedation with the anaesthetic agent propofol, replicating our results in two separate datasets. We demonstrate that the various measures are differently able to discriminate between levels of sedation, with temporal measures showing higher sensitivity. Further, we show that all measures are strongly related to a single underlying construct explaining most of the variance, as assessed by Principal Component Analysis, which we interpret as a measure of “overall complexity” of our data. This overall complexity was also able to discriminate between levels of sedation and serum concentrations of propofol, supporting the hypothesis that consciousness is related to complexity - independent of how the latter is measured.