Multichannel electroencephalographic analyses via dynamic regression models with time‐varying lag–lead structure
Multichannel electroencephalographic analyses via dynamic regression models with time‐varying lag–lead structure
复制标题
通过具有时变滞后-超前结构的动态回归模型进行多通道脑电图分析
DOI：
10.1111/1467-9876.00222
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
A. Krystal
中科院分区：
文献类型：
--
作者：
R. Prado;M. West;A. Krystal
在脑电(EEG)研究中，头皮电位活动的多时间序列是常规产生的。这样的记录提供了关于人类神经精神障碍的大脑功能的重要的非侵入性数据。对脑电轨迹的分析旨在分离其时空动力学特征，这些特征可能对诊断有用，或可能改善对潜在神经生理学的理解，或可能通过识别临床结果的预测因子和指标来改进治疗。我们讨论的非平稳时间序列模型的发展和应用的多个脑电序列产生的个体在临床神经精神病学设置。受试者为抑郁症患者，由电惊厥治疗(ECT)作为抗抑郁药物治疗引起的全身性强直阵挛发作。介绍和研究了动态潜在因素模型和动态回归模型两种模型。我们讨论了模型的动机和形式，以及统计分析的一些方面，包括参数可辨识性、后验推断和通过马尔可夫链蒙特卡罗技术实现这些模型。在对ECT发作期间在患者头皮不同位置记录的19个典型EEG序列的分析中，这些模型揭示了整个序列中与电极放置密切相关的时变特征。我们举例说明了各种模型输出，这种时变空间结构的探索及其在ECT研究中的相关性，以及在一般的基础脑电研究中的相关性。
Multiple time series of scalp electrical potential activity are generated routinely in electroencephalographic (EEG) studies. Such recordings provide important non‐invasive data about brain function in human neuropsychiatric disorders. Analyses of EEG traces aim to isolate characteristics of their spatiotemporal dynamics that may be useful in diagnosis, or may improve the understanding of the underlying neurophysiology or may improve treatment through identifying predictors and indicators of clinical outcomes. We discuss the development and application of non‐stationary time series models for multiple EEG series generated from individual subjects in a clinical neuropsychiatric setting. The subjects are depressed patients experiencing generalized tonic–clonic seizures elicited by electroconvulsive therapy (ECT) as antidepressant treatment. Two varieties of models—dynamic latent factor models and dynamic regression models—are introduced and studied. We discuss model motivation and form, and aspects of statistical analysis including parameter identifiability, posterior inference and implementation of these models via Markov chain Monte Carlo techniques. In an application to the analysis of a typical set of 19 EEG series recorded during an ECT seizure at different locations over a patient's scalp, these models reveal time‐varying features across the series that are strongly related to the placement of the electrodes. We illustrate various model outputs, the exploration of such time‐varying spatial structure and its relevance in the ECT study, and in basic EEG research in general.
DOI：
10.1016/s0193-953x(18)30271-5
发表时间：
1991-12
期刊：
The Psychiatric clinics of North America
影响因子：
--
作者：
H. Sackeim;D. Devanand;J. Prudic
通讯作者：
H. Sackeim;D. Devanand;J. Prudic
DOI：
--
发表时间：
1991
期刊：
The Psychiatric clinics of North America
影响因子：
--
作者：
Weiner,RD;Coffey,CE;Krystal,AD
通讯作者：
Krystal,AD