爆发抑制率的状态空间模型。
A state-space model of the burst suppression ratio.
作者信息
Chemali Jessica J, Wong K F Kevin, Solt Ken, Brown Emery N
机构信息
Massachussets General Hospital.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:1431-4. doi: 10.1109/IEMBS.2011.6090354.
Abstract
Burst suppression is an electroencephalogram pattern observed in states of severely reduced brain activity, such as general anesthesia, hypothermia and anoxic brain injuries. The burst suppression ratio (BSR), defined as the fraction of EEG spent in suppression per epoch, is the standard quantitative measure used to characterize burst suppression. We present a state space model to compute a dynamic estimate of the BSR as the instantaneous probability of suppression. We estimate the model using an approximate EM algorithm and illustrate its application in the analysis of rodent burst suppression recordings under general anesthesia. Our approach removes the need to artificially average the ratio over long epochs and allows us to make formal statistical comparisons of burst activity at different time points. Our state-space model suggests a more principled way to analyze this key EEG feature that may offer more informative assessments of its associated brain state.
摘要
爆发抑制是在大脑活动严重降低的状态下观察到的一种脑电图模式，如全身麻醉、体温过低和缺氧性脑损伤。爆发抑制率（BSR）定义为每个时间段内脑电图处于抑制状态的时间占比，是用于表征爆发抑制的标准定量指标。我们提出了一个状态空间模型，用于计算作为抑制瞬时概率的爆发抑制率的动态估计值。我们使用近似期望最大化（EM）算法估计该模型，并说明其在分析全身麻醉下啮齿动物爆发抑制记录中的应用。我们的方法无需对长时间段的比率进行人工平均，并且使我们能够对不同时间点的爆发活动进行正式的统计比较。我们的状态空间模型提出了一种更有原则的方法来分析这一关键脑电图特征，这可能会对其相关脑状态提供更具信息量的评估。
相似文献
1
A state-space model of the burst suppression ratio.爆发抑制率的状态空间模型。
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:1431-4. doi: 10.1109/IEMBS.2011.6090354.
2
Burst suppression probability algorithms: state-space methods for tracking EEG burst suppression.突发抑制概率算法：用于跟踪脑电图突发抑制的状态空间方法。
J Neural Eng. 2013 Oct;10(5):056017. doi: 10.1088/1741-2560/10/5/056017. Epub 2013 Sep 10.
3
Emergence of chaotic attractor and anti-synchronization for two coupled monostable neurons.两个耦合单稳态神经元的混沌吸引子的出现及反同步
Chaos. 2004 Dec;14(4):1148-56. doi: 10.1063/1.1821691.
4
Spike patterning of a stochastic phase model neuron given periodic inhibition.给定周期性抑制的随机相位模型神经元的尖峰模式
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Mar;75(3 Pt 1):031912. doi: 10.1103/PhysRevE.75.031912. Epub 2007 Mar 26.
5
A closed-loop anesthetic delivery system for real-time control of burst suppression.实时控制爆发抑制的闭环麻醉输送系统。
J Neural Eng. 2013 Aug;10(4):046004. doi: 10.1088/1741-2560/10/4/046004. Epub 2013 Jun 7.
6
Scale-free topologies and activatory-inhibitory interactions.无标度拓扑结构与激活-抑制相互作用。
Chaos. 2006 Mar;16(1):015114. doi: 10.1063/1.2146115.
7
Power Law Scaling in Human and Empty Room MEG Recordings.人类与空房间脑磁图记录中的幂律标度
PLoS Comput Biol. 2015 May 8;11(5):e1004175. doi: 10.1371/journal.pcbi.1004175. eCollection 2015 May.
8
Spike propagation in driven chain networks with dominant global inhibition.具有主导全局抑制作用的驱动链式网络中的尖峰传播。
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 May;79(5 Pt 1):051917. doi: 10.1103/PhysRevE.79.051917. Epub 2009 May 20.
9
Chaotic neurodynamics for autonomous agents.自主智能体的混沌神经动力学
IEEE Trans Neural Netw. 2005 May;16(3):565-79. doi: 10.1109/TNN.2005.845086.
10
Neural modeling of an internal clock.内部时钟的神经建模
Neural Comput. 2005 May;17(5):1032-58. doi: 10.1162/0899766053491850.
引用本文的文献
1
High-precision neural information detection of multiple brain regions in mice under different concentrations of isoflurane anesthesia based on microelectrode arrays.基于微电极阵列对不同浓度异氟烷麻醉下小鼠多个脑区的高精度神经信息检测
Microsyst Nanoeng. 2025 Jun 10;11(1):119. doi: 10.1038/s41378-025-00944-0.
2
Processed electroencephalography: impact of patient age and surgical position on intraoperative processed electroencephalogram monitoring of burst-suppression.处理后的脑电图：患者年龄和手术体位对爆发抑制术中处理后脑电图监测的影响。
J Clin Monit Comput. 2022 Aug;36(4):1099-1107. doi: 10.1007/s10877-021-00741-w. Epub 2021 Jul 10.
3
Monochromatic Blue Light Activates Suprachiasmatic Nucleus Neuronal Activity and Promotes Arousal in Mice Under Sevoflurane Anesthesia.单色蓝光激活视交叉上核神经元活动并促进七氟醚麻醉小鼠的觉醒。
Front Neural Circuits. 2020 Aug 18;14:55. doi: 10.3389/fncir.2020.00055. eCollection 2020.
4
Neural signatures of α2-Adrenergic agonist-induced unconsciousness and awakening by antagonist.拮抗剂诱导 α2-肾上腺素能激动剂诱导的意识丧失和觉醒的神经特征。
Elife. 2020 Aug 28;9:e57670. doi: 10.7554/eLife.57670.
5
Spectral Content of Electroencephalographic Burst-Suppression Patterns May Reflect Neuronal Recovery in Comatose Post-Cardiac Arrest Patients.脑电图爆发抑制模式的频谱内容可能反映心脏骤停后昏迷患者的神经元恢复情况。
J Clin Neurophysiol. 2019 Mar;36(2):119-126. doi: 10.1097/WNP.0000000000000536.
6
Variability in pharmacologically-induced coma for treatment of refractory status epilepticus.药物诱导昏迷治疗难治性癫痫持续状态的变异性。
PLoS One. 2018 Oct 31;13(10):e0205789. doi: 10.1371/journal.pone.0205789. eCollection 2018.
7
Physostigmine and Methylphenidate Induce Distinct Arousal States During Isoflurane General Anesthesia in Rats.毒扁豆碱和哌甲酯在大鼠异氟烷全身麻醉期间诱导不同的觉醒状态。
Anesth Analg. 2016 Nov;123(5):1210-1219. doi: 10.1213/ANE.0000000000001234.
8
Robust control of burst suppression for medical coma.用于医学昏迷的爆发抑制的鲁棒控制。
J Neural Eng. 2015 Aug;12(4):046004. doi: 10.1088/1741-2560/12/4/046004. Epub 2015 May 28.
9
The human burst suppression electroencephalogram of deep hypothermia.深度低温时的人体爆发抑制脑电图。
Clin Neurophysiol. 2015 Oct;126(10):1901-1914. doi: 10.1016/j.clinph.2014.12.022. Epub 2015 Jan 16.
10
Propofol and sevoflurane induce distinct burst suppression patterns in rats.丙泊酚和七氟醚在大鼠中诱导出不同的爆发抑制模式。
Front Syst Neurosci. 2014 Dec 18;8:237. doi: 10.3389/fnsys.2014.00237. eCollection 2014.
本文引用的文献
1
General anesthesia, sleep, and coma.全身麻醉、睡眠与昏迷。
N Engl J Med. 2010 Dec 30;363(27):2638-50. doi: 10.1056/NEJMra0808281.
2
Basal forebrain histaminergic transmission modulates electroencephalographic activity and emergence from isoflurane anesthesia.基底前脑组胺能传递调节脑电图活动和异氟醚麻醉苏醒。
Anesthesiology. 2009 Oct;111(4):725-33. doi: 10.1097/ALN.0b013e3181b061a0.
3
An effective correlation dimension and burst suppression ratio of the EEG in rat. Correlation with sevoflurane induced anaesthetic depth.大鼠脑电图的有效关联维数和爆发抑制率。与七氟醚诱导的麻醉深度的相关性。
Eur J Anaesthesiol. 2006 May;23(5):391-402. doi: 10.1017/S0265021505001857. Epub 2006 Feb 10.
4
Dynamic analysis of learning in behavioral experiments.行为实验中学习的动态分析
J Neurosci. 2004 Jan 14;24(2):447-61. doi: 10.1523/JNEUROSCI.2908-03.2004.
5
Estimating a state-space model from point process observations.从点过程观测值估计状态空间模型。
Neural Comput. 2003 May;15(5):965-91. doi: 10.1162/089976603765202622.
6
Burst suppression or isoelectric encephalogram for cerebral protection: evidence from metabolic suppression studies.爆发抑制或等电位脑电图用于脑保护：来自代谢抑制研究的证据。
Br J Anaesth. 1999 Oct;83(4):580-4. doi: 10.1093/bja/83.4.580.
7
I.v. anaesthesia and EEG burst suppression in rats: bolus injections and closed-loop infusions.大鼠静脉麻醉与脑电图爆发抑制：推注注射与闭环输注
Br J Anaesth. 1998 Sep;81(3):415-21. doi: 10.1093/bja/81.3.415.
8
A primer for EEG signal processing in anesthesia.麻醉中脑电图信号处理入门
Anesthesiology. 1998 Oct;89(4):980-1002. doi: 10.1097/00000542-199810000-00023.
9
A comparison of the electrophysiologic characteristics of EEG burst-suppression as produced by isoflurane, thiopental, etomidate, and propofol.异氟烷、硫喷妥钠、依托咪酯和丙泊酚所产生的脑电图爆发抑制的电生理特征比较。
J Neurosurg Anesthesiol. 1996 Jan;8(1):40-6. doi: 10.1097/00008506-199601000-00010.
10
Cortical and thalamic cellular correlates of electroencephalographic burst-suppression.脑电图爆发抑制的皮质和丘脑细胞关联
Electroencephalogr Clin Neurophysiol. 1994 Jan;90(1):1-16. doi: 10.1016/0013-4694(94)90108-2.
Zotero 插件