Spatiospectral dynamics of electroencephalography patterns during propofol-induced alterations of consciousness states

IF 4.5 2区 医学 Q1 NEUROIMAGING NeuroImage Pub Date : 2025-04-01 Epub Date: 2025-02-12 DOI:10.1016/j.neuroimage.2025.121084
Xuan Li , Dezhao Liu , Zheng Li , Rui Wang , Xiaoli Li , Tianyi Zhou
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Abstract

Altered consciousness induced by anesthetics is characterized by distinct spatial and spectral neural dynamics that are readily apparent in the human electroencephalogram. Despite considerable study, we remain uncertain which brain regions and neural oscillations are involved, as well as how they are impacted when consciousness is disrupted. The experimental data was obtained from the open-access dataset, which contains pre-processed EEG data recorded from 20 healthy participants during propofol sedation. Using unsupervised machine learning methods (i.e., non-negative matrix factorization, NMF), we investigated the spatiospectral dynamic evolution of brain activity from awake to sedation and back induced by propofol in healthy research volunteers. Our methods yielded six dynamical patterns that continuously reflect the neural activity changes in specific brain regions and frequency bands under propofol sedation. Temporal dynamic analyses showed that differences in alpha oscillation patterns were less pronounced in response group than drowsy group, with hemispheric asymmetry in posterior occipital lobe over the course of the sedation procedure. We designed an index ‘hemispheric lateralization modulation of alpha [HLM(α)]’ to measure asymmetry during awake state and predicting individual variability in propofol-induced alterations of consciousness states, obtaining prediction AUC of 0.8462. We present an alpha modulation index which characterizes how these patterns track the transition from awake to sedation as a function of increasing dosage. Our study reveals dynamics indices that track the evolution of neurophysiological of propofol on brain circuits. Analyzing the spatiospectral dynamics influenced by propofol provides valuable understanding of the mechanisms of these agents and strategies for monitoring and precisely controlling the level of consciousness in patients under sedation and general anesthesia.

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异丙酚诱导的意识状态改变期间脑电图模式的空间谱动力学
由麻醉药引起的意识改变具有明显的空间和频谱神经动力学特征,在人类脑电图上很明显。尽管进行了大量的研究,我们仍然不确定哪些大脑区域和神经振荡参与其中,以及当意识中断时它们是如何受到影响的。实验数据来自开放获取数据集,该数据集包含20名健康参与者在异丙酚镇静期间记录的预处理脑电图数据。采用无监督机器学习方法(即非负矩阵分解,NMF)研究了异丙酚诱导健康志愿者从清醒到镇静和恢复的脑活动的空间光谱动态演变。我们的方法得到了六种动态模式,这些模式连续反映了异丙酚镇静下特定脑区和频带的神经活动变化。时间动态分析显示,反应组α振荡模式的差异比困倦组不明显,在镇静过程中后枕叶半球不对称。我们设计了一个指标“α半球侧化调制[HLM(α)]”来测量清醒状态时的不对称性,并预测异丙酚引起的意识状态改变的个体差异,预测AUC为0.8462。我们提出了一个α调制指数,表征这些模式如何跟踪从清醒到镇静的转变,作为增加剂量的函数。我们的研究揭示了跟踪异丙酚对脑回路神经生理演变的动力学指标。分析异丙酚影响的空间谱动力学,有助于了解这些药物的作用机制,以及监测和精确控制镇静和全身麻醉患者意识水平的策略。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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