Exploring effects of anesthesia on complexity, differentiation, and integrated information in rat EEG.

IF 3.1 Q1 PSYCHOLOGY, BIOLOGICAL Neuroscience of Consciousness Pub Date : 2024-05-16 eCollection Date: 2024-01-01 DOI:10.1093/nc/niae021
André Sevenius Nilsen, Alessandro Arena, Johan F Storm
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Abstract

To investigate mechanisms underlying loss of consciousness, it is important to extend methods established in humans to rodents as well. Perturbational complexity index (PCI) is a promising metric of "capacity for consciousness" and is based on a perturbational approach that allows inferring a system's capacity for causal integration and differentiation of information. These properties have been proposed as necessary for conscious systems. Measures based on spontaneous electroencephalography recordings, however, may be more practical for certain clinical purposes and may better reflect ongoing dynamics. Here, we compare PCI (using electrical stimulation for perturbing cortical activity) to several spontaneous electroencephalography-based measures of signal diversity and integrated information in rats undergoing propofol, sevoflurane, and ketamine anesthesia. We find that, along with PCI, the spontaneous electroencephalography-based measures, Lempel-Ziv complexity (LZ) and geometric integrated information (ΦG), were best able to distinguish between awake and propofol and sevoflurane anesthesia. However, PCI was anti-correlated with spontaneous measures of integrated information, which generally increased during propofol and sevoflurane anesthesia, contrary to expectations. Together with an observed divergence in network properties estimated from directed functional connectivity (current results) and effective connectivity (earlier results), the perturbation-based results seem to suggest that anesthesia disrupts global cortico-cortical information transfer, whereas spontaneous activity suggests the opposite. We speculate that these seemingly diverging results may be because of suppressed encoding specificity of information or driving subcortical projections from, e.g., the thalamus. We conclude that certain perturbation-based measures (PCI) and spontaneous measures (LZ and ΦG) may be complementary and mutually informative when studying altered states of consciousness.

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探索麻醉对大鼠脑电图复杂性、分化和综合信息的影响。
要研究意识丧失的内在机制,必须将在人类身上建立的方法推广到啮齿类动物身上。扰动复杂性指数(PCI)是衡量 "意识能力 "的一个很有前途的指标,它基于一种扰动方法,可以推断系统的因果整合能力和信息分化能力。这些特性被认为是有意识系统的必要条件。然而,基于自发脑电图记录的测量方法对于某些临床目的来说可能更实用,而且能更好地反映正在进行的动态变化。在这里,我们将 PCI(使用电刺激扰乱大脑皮层活动)与几种基于自发脑电图的信号多样性和综合信息测量方法进行了比较,实验对象是接受异丙酚、七氟烷和氯胺酮麻醉的大鼠。我们发现,除了 PCI 之外,基于自发脑电图的 Lempel-Ziv 复杂性 (LZ) 和几何综合信息 (ΦG),最能区分清醒与异丙酚和七氟醚麻醉。然而,PCI 与自发测量的综合信息不相关,后者在异丙酚和七氟醚麻醉期间普遍增加,这与预期相反。根据定向功能连通性(目前的结果)和有效连通性(之前的结果)估算出的网络属性存在差异,基于扰动的结果似乎表明麻醉会破坏皮层-皮层的整体信息传递,而自发活动则表明情况恰恰相反。我们推测,这些看似不同的结果可能是由于信息的编码特异性受到抑制或来自丘脑等皮层下投射的驱动。我们的结论是,在研究意识改变状态时,某些基于扰动的测量方法(PCI)和自发测量方法(LZ 和 ΦG)可能是互补的,并能相互提供信息。
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来源期刊
Neuroscience of Consciousness
Neuroscience of Consciousness Psychology-Clinical Psychology
CiteScore
6.90
自引率
2.40%
发文量
16
审稿时长
19 weeks
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