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与年龄相关的 EEG 相干性变化。

Age-related changes in EEG coherence.

机构信息

Department of Neurology, Charles University in Prague, Faculty Hospital Hradec Kralove, Czech Republic; Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, Czech Republic.

Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering, Prague, Czech Republic.

出版信息

Neurol Neurochir Pol. 2014 Jan-Feb;48(1):35-8. doi: 10.1016/j.pjnns.2013.09.001. Epub 2014 Jan 23.

Abstract

BACKGROUND AND PURPOSE

Coherence changes can reflect the pathophysiological processes involved in human ageing. We conducted a retrospective population study that sought to analyze the age-related changes in EEG coherence in a group of 17,722 healthy professional drivers.

MATERIALS AND METHODS

The EEGs were obtained using a standard 10-20 electrode configuration on the scalp. The recordings from 19 scalp electrodes were taken while the participants' eyes were closed. The linear correlations between the age and coherence were estimated by linear regression analysis.

RESULTS

Our results showed a significant decrease in coherence with age in the theta and alpha bands, and there was an increasing coherence with the beta bands. The most prominent changes occurred in the alpha bands. The delta bands contained movement artefacts, which most likely do not change with age.

CONCLUSIONS

The age-related EEG desynchrony can be partly explained by the age-related reduction of cortical connectivity. Higher frequencies of oscillations require less cortical area of high coherence. These findings explain why the lowest average coherence values were observed in the beta and sigma bands, as well as why the beta bands show borderline statistical significance and the sigma bands show non-significance. The age-dependent decrease in coherence may influence the estimation of age-related changes in EEG energy due to phase cancellation.

摘要

背景与目的

相干性变化可以反映人类衰老过程中的病理生理变化。我们进行了一项回顾性的人群研究,旨在分析 17722 名健康职业驾驶员组的 EEG 相干性随年龄的变化。

材料与方法

头皮上使用标准的 10-20 电极配置获取 EEG。在参与者闭眼时记录来自 19 个头皮电极的信号。通过线性回归分析估计年龄与相干性之间的线性相关性。

结果

我们的结果表明,在 theta 和 alpha 波段中,随着年龄的增长,相干性显著降低,而在 beta 波段中,相干性随着年龄的增长而增加。最显著的变化发生在 alpha 波段。delta 波段包含运动伪影,其很可能不会随年龄而变化。

结论

EEG 随年龄的去同步性可以部分解释为皮质连接随年龄的减少。较高频率的振荡需要较少的高相干皮质区域。这些发现解释了为什么在 beta 和 sigma 波段观察到最低的平均相干值,以及为什么 beta 波段显示出边缘统计学意义,而 sigma 波段显示出无统计学意义。相干性随年龄的下降可能会由于相位抵消而影响 EEG 能量随年龄变化的估计。

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