Hidden Markov modelling of spike propagation from interictal MEG data.
Hidden Markov modelling of spike propagation from interictal MEG data.
复制标题
根据发作间期 MEG 数据进行尖峰传播的隐马尔可夫模型。
DOI：
10.1088/0031-9155/50/14/017
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Leahy,RM
中科院分区：
文献类型：
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作者：
Ossadtchi,A;Mosher,JC;Sutherling,WW;Greenblatt,RE;Leahy,RM
对于部分性癫痫患者，应用于发作间期 MEG 数据的自动尖峰检测技术通常会发现几个潜在致癫痫的大脑区域。治疗计划中的一个重要决定是这些检测到的区域中哪些最有可能是致癫痫活动的主要来源。对检测到的区域之间的传播活动模式的分析可以允许检测这些原发性癫痫病灶。我们描述了使用隐马尔可夫模型 (HMM) 从发作间期 MEG 数据估计几个尖峰区域之间的传播模式。对估计的转移概率矩阵的分析使我们能够推断异常活动的传播模式并确定其最可能的起源区域。所提出的 HMM 范式允许简单地结合尖峰检测器的特异性和灵敏度特征。我们为完美检测的情况制定了性能界限。我们还将该技术应用于模拟数据集，以研究该方法对事件检测器的非理想特异性-敏感性特征的鲁棒性，并将结果与下限进行比较。我们的研究证明了所提出的技术对事件检测错误的鲁棒性。我们以将该方法应用于单个患者的示例作为结束。
For patients with partial epilepsy, automatic spike detection techniques applied to interictal MEG data often discover several potentially epileptogenic brain regions. An important determination in treatment planning is which of these detected regions are most likely to be the primary sources of epileptogenic activity. Analysis of the patterns of propagation activity between the detected regions may allow for detection of these primary epileptic foci. We describe the use of hidden Markov models (HMM) for estimation of the propagation patterns between several spiking regions from interictal MEG data. Analysis of the estimated transition probability matrix allows us to make inferences regarding the propagation pattern of the abnormal activity and determine the most likely region of its origin. The proposed HMM paradigm allows for a simple incorporation of the spike detector specificity and sensitivity characteristics. We develop bounds on performance for the case of perfect detection. We also apply the technique to simulated data sets in order to study the robustness of the method to the non-ideal specificity–sensitivity characteristics of the event detectors and compare results with the lower bounds. Our study demonstrates robustness of the proposed technique to event detection errors. We conclude with an example of the application of this method to a single patient.