Ictal source analysis: Localization and imaging of causal interactions in humans
Ictal source analysis: Localization and imaging of causal interactions in humans
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DOI：
10.1016/j.neuroimage.2006.09.042
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发表时间：
2007-01-15
期刊：
影响因子：
5.7
通讯作者：
He, Bin
中科院分区：
文献类型：
--
作者：
Ding, Lei;Worrell, Gregory A.;He, Bin
我们提出了一种新的综合方法来表征癫痫发作的空间，时间和频率域的结构。这样的表征导致了一个新的技术发展的发作源分析癫痫患者的术前评估。本新的发作源分析方法包括三个部分。首先，一个三维的源扫描程序进行时空精细源定位方法来定位多个源负责的时间演变发作节律在其发病。其次，用多变量自回归过程（MVAR）对源的动态行为进行建模。最后，根据源时间动态的MVAR建模来估计作为频率函数的源之间的因果相互作用模式。因果关系的相互作用模式表明源之间的动态通信，这是有用的，在区分的主要来源负责从次要来源引起的发作传播的发作。目前的发作分析策略已被应用到一些癫痫发作的5例癫痫患者，他们的结果是一致的观察无论是MRI病变或SPECT扫描，这表明其有效性。对发作源分析的每一步进行统计评估，以保证结果的可信度。(c)2006年爱思唯尔公司All rights reserved.
We propose a new integrative approach to characterize the structure of seizures in the space, time, and frequency domains. Such characterization leads to a new technical development of ictal source analysis for the presurgical evaluation of epilepsy patients. The present new ictal source analysis method consists of three parts. First, a three-dimensional source scanning procedure is performed by a spatiotemporal FINE source localization method to locate the multiple sources responsible for the time evolving ictal rhythms at their onsets. Next, the dynamic behavior of the sources is modeled by a multivariate autoregressive process (MVAR). Lastly, the causal interaction patterns among the sources as a function of frequency are estimated from the MVAR modeling of the source temporal dynamics. The causal interaction patterns indicate the dynamic communications between sources, which are useful in distinguishing the primary sources responsible for the ictal onset from the secondary sources caused by the ictal propagation. The present ictal analysis strategy has been applied to a number of seizures from five epilepsy patients, and their results are consistent with observations from either MRI lesions or SPECT scans, which indicate its effectiveness. Each step of the ictal source analysis is statistically evaluated in order to guarantee the confidence in the results. (c) 2006 Elsevier Inc. All rights reserved.