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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Tracking brain states under general anesthesia by using global coherence analysis
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Tracking brain states under general anesthesia by using global coherence analysis

机译：使用全局相干分析跟踪全身麻醉下的大脑状态

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摘要

Time and frequency domain analyses of scalp EEG recordings are widely used to track changes in brain states under general anesthesia. Although these analyses have suggested that different spatial patterns are associated with changes in the state of general anesthesia, the extent to which these patterns are spatially co-ordinated has not been systematically characterized. Global coherence, the ratio of the largest eigenvalue to the sum of the eigenvalues of the cross-spectral matrix at a given frequency and time, has been used to analyze the spatiotemporal dynamics of multivariate time-series. Using 64-lead EEG recorded from human subjects receiving computer-controlled infusions of the anesthetic propofol, we used surface Laplacian referencing combined with spectral and global coherence analyses to track the spatiotemporal dynamics of the brain's anesthetic state. During unconsciousness the spectrograms in the frontal leads showed increasing a (8-12 Hz) and S power (0-4 Hz) and in the occipital leads 8 power greater than a power. The global coherence detected strong coordinated a activity in the occipital leads in the awake state that shifted to the frontal leads during unconsciousness. It revealed a lack of coordinated S activity during both the awake and unconscious states. Although strong frontal power during general anesthesia-induced unconsciousness—termed anteriorization—is well known, its possible association with strong a range global coherence suggests highly coordinated spatial activity. Our findings suggest that combined spectral and global coherence analyses may offer a new approach to tracking brain states under general anesthesia.
机译：头皮脑电图记录的时域和频域分析被广泛用于跟踪全身麻醉下脑部状态的变化。尽管这些分析表明，不同的空间模式与全身麻醉状态的变化有关，但是这些模式在空间上的协调程度尚未得到系统的表征。全局相干性（在给定的频率和时间下最大特征值与互谱矩阵特征值之和的比率）已用于分析多元时间序列的时空动态。使用从接受计算机控制麻醉剂输注的人类受试者记录的64导联脑电图，我们使用表面拉普拉斯参考与光谱和全局相干分析相结合来跟踪大脑麻醉状态的时空动态。在意识不清期间，额线中的频谱图显示增加了（8-12 Hz）和S功率（0-4 Hz），而枕骨中的频谱图显示了大于功率的8个功率。整体连贯性检测到清醒状态的枕骨先导活动高度协调，在意识丧失期间该活动转移到额叶先导。它揭示了在清醒状态和无意识状态下均缺乏协调的S活动。尽管在全身麻醉引起的意识丧失过程中强大的额叶力量（称为前突化）是众所周知的，但其与范围广泛的整体连贯性的强关联可能表明高度协调的空间活动。我们的研究结果表明，光谱和全局相干分析相结合可能会提供一种在全身麻醉下追踪脑部状态的新方法。

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    Aylin Cimenser; Patrick L. Purdon; EricT. Pierce; John L Walsh; Andres F. Salazar-Gomez; Priscilla G. Harrell; Casie Tavares-Stoeckel; Kathleen Habeeb; and Emery N. Brown;

  • 作者单位

    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA02114 Harvard Medical School, Boston, MA 02115 Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139;

    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA02114 Harvard Medical School, Boston, MA 02115 Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139;

    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA02114 Harvard Medical School, Boston, MA 02115;

    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA02114 Harvard Medical School, Boston, MA 02115rn;

    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA02114 Department of Brain and Cognitive Science, Massachusetts General Hospital, Boston, MA02114;

    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA02114 Harvard Medical School, Boston, MA 02115;

    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA02114rn;

    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA02114;

    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA02114 Harvard Medical School, Boston, MA 02115 Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139 Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    alpha rhythm; delta rhythm; loss of consciousness;

    机译：alpha节奏;delta节奏;意识丧失;

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