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发作间期脑电图作为一种生理适应性。第二部分。发作间期脑电图中脑振荡成分的地形变异性。

Interictal EEG as a physiological adaptation. Part II. Topographic variability of composition of brain oscillations in interictal EEG.

作者信息

Fingelkurts Alexander A, Fingelkurts Andrew A, Kaplan Alexander Ya

机构信息

BM-SCIENCE-Brain and Mind Technologies Research Centre, P.O. Box 77 FI-02601, Espoo, Finland.

出版信息

Clin Neurophysiol. 2006 Apr;117(4):789-802. doi: 10.1016/j.clinph.2005.12.011. Epub 2006 Jan 30.

Abstract

OBJECTIVE

In the present experimental study, we examined topographic variability of composition of brain oscillations and their temporal behavior in frequencies from 0.5 to 30 Hz of interictal EEG without epileptiform abnormalities and healthy EEG.

METHODS

Spatio-temporal variability of brain oscillations (indexed by short-term EEG spectral patterns (SPs)) was assessed by the probability-classification analysis of SPs. As a result, multi-dimensional SP-vector for each analysis EEG epoch was obtained.

RESULTS

It was demonstrated that interictal EEG was characterized (a) by a significant decrease of spatio-temporal variability of brain oscillations, (b) by longer periods of temporal stabilization for operational modules which comprise larger number of cortical areas, and (c) by significantly more intermittent recurrence when compared with EEG of control subjects. Generally it was shown that EEG channels display different states of coordination independently on their correlation and coherence using brain oscillations at multiple frequencies.

CONCLUSIONS

Results of this study suggested that EEG correlate of chronic epileptogenesis in the brain is a particular metastable state of biopotential field, which can be estimated by SP-vector. The fact that all results were significantly different from surrogate EEGs reflects a nonoccasional and thus, most likely, an adaptive nature of spatio-temporal reorganization in interictal EEG.

SIGNIFICANCE

Parameters of spatio-temporal organization of interictal EEG without the signs of epileptiform activity can be considered as additional information in premorbid diagnostics of status epilepticus, and may also provide insights into basic laws that govern brain oscillations in general.

摘要

目的

在本实验研究中,我们研究了发作间期脑电图(EEG)在0.5至30Hz频率范围内无癫痫样异常的脑振荡成分的地形变异性及其时间行为,以及正常EEG情况。

方法

通过对短期EEG频谱模式(SPs)的概率分类分析来评估脑振荡的时空变异性(以SPs为指标)。结果,获得了每个分析EEG时段的多维SP向量。

结果

结果表明,发作间期EEG的特征为:(a)脑振荡的时空变异性显著降低;(b)组成更多皮质区域的操作模块的时间稳定期更长;(c)与对照受试者的EEG相比,间歇性复发明显更多。总体而言,研究表明,EEG通道在使用多个频率的脑振荡时,其相关性和连贯性独立地显示出不同的协调状态。

结论

本研究结果表明,大脑中慢性癫痫发生的EEG相关性是生物电位场的一种特殊亚稳态,可通过SP向量进行估计。所有结果与替代EEG显著不同这一事实反映了发作间期EEG时空重组并非偶然,因此很可能具有适应性。

意义

无癫痫样活动迹象的发作间期EEG的时空组织参数可被视为癫痫持续状态病前诊断的额外信息,也可能为一般脑振荡的基本规律提供见解。

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