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利用同步 EEG-fMRI 检测癫痫棘波间期大脑激活模式的亚秒级变化。

Detecting sub-second changes in brain activation patterns during interictal epileptic spike using simultaneous EEG-fMRI.

机构信息

Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.

Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan; Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

出版信息

Clin Neurophysiol. 2018 Feb;129(2):377-389. doi: 10.1016/j.clinph.2017.11.018. Epub 2017 Nov 27.

DOI:10.1016/j.clinph.2017.11.018
PMID:29288994
Abstract

OBJECTIVE

Epileptic spikes are associated with rapidly changing brain activation involving the epileptic foci and other brain regions in the "epileptic network". We aim to resolve these activation changes using simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) recordings.

METHODS

Simultaneous EEG-fMRI recordings from 9 patients with epilepsy were used in the analysis. Our method employed the whole scalp EEG data to generate regressors for the analysis of fMRI data using the general linear model.

RESULTS

We were able to resolve, with milliseconds temporal resolution, changes in activation patterns involving suspected epileptic foci and other brain regions in the epileptic network during spike and slow wave. Using summary maps (called SSWAS maps) which show the activation frequency of voxels, we found that suspected epileptic foci tend to be significantly active during this interval. SSWAS maps also enabled the detection of the epileptic foci in 4 of 5 patients where the conventional event-timing-based analysis failed to identify.

CONCLUSION

These findings demonstrated the efficacy of the method and the potential application of SSWAS maps to identify epileptic foci.

SIGNIFICANCE

The method could help resolve activation changes during epileptic spike and could provide insights into the underlying pathophysiology of these changes.

摘要

目的

癫痫棘波与涉及癫痫灶和“癫痫网络”中其他脑区的快速变化的脑激活有关。我们旨在使用同时进行的脑电图 (EEG) 和功能磁共振成像 (fMRI) 记录来解决这些激活变化。

方法

分析中使用了 9 名癫痫患者的同步 EEG-fMRI 记录。我们的方法使用整个头皮 EEG 数据生成回归器,使用广义线性模型分析 fMRI 数据。

结果

我们能够以毫秒级的时间分辨率解析棘波和慢波期间涉及疑似癫痫灶和癫痫网络中其他脑区的激活模式变化。使用显示体素激活频率的汇总图(称为 SSWAS 图),我们发现疑似癫痫灶在这段时间内往往非常活跃。SSWAS 图还能够在传统基于事件计时的分析未能识别的 5 名患者中的 4 名中检测到癫痫灶。

结论

这些发现证明了该方法的有效性,以及 SSWAS 图在识别癫痫灶方面的潜在应用。

意义

该方法可以帮助解析癫痫棘波期间的激活变化,并为这些变化的潜在病理生理学提供深入了解。

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