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正常儿童脑电图相对功率贡献率的发展:一种多元自回归建模方法。

Development of relative power contribution ratio of the EEG in normal children: a multivariate autoregressive modeling approach.

作者信息

Wada M, Ogawa T, Sonoda H, Sato K

机构信息

Department of Pediatrics, Oita Medical University, Hasama, Japan.

出版信息

Electroencephalogr Clin Neurophysiol. 1996 Jan;98(1):69-75. doi: 10.1016/0013-4694(95)00187-5.

DOI:10.1016/0013-4694(95)00187-5
PMID:8689997
Abstract

The relative power contribution ratio using a multivariate autoregressive model was applied to determine the spread of delta, theta, alpha and beta activity over the scalp in childhood. EEGs of 264 normal healthy subjects from 3 to 26 years were recorded from Fp1, Fp2, C3, C4, O1 and O2 with linked ears during the resting relaxed state with eyes closed. After selecting the epoch to remove artifacts, the relative power contribution ratio at each frequency band was calculated from the digitized EEG. The most noticeable developmental change was seen in the alpha frequency, where the relative power contribution ratio from its own area decreased significantly with age, and ratios from the other areas increased significantly. The change was larger at the frontal and smaller at the occipital region. Consequently, the occipital alpha wave was stable after 3 years of age. Developmental change at beta frequency was similar to alpha activity, but the number of components with significant change was smaller at delta and theta frequencies. Thus the relative power contribution of the EEG enabled us to observe how relationships among each location of EEG matured.

摘要

采用多元自回归模型的相对功率贡献比来确定儿童期头皮上δ、θ、α和β活动的分布。在闭眼休息放松状态下,对264名3至26岁正常健康受试者的脑电图进行记录,电极置于Fp1、Fp2、C3、C4、O1和O2,双耳相连。在选择去除伪迹的时段后,从数字化脑电图中计算每个频段的相对功率贡献比。最明显的发育变化出现在α频率,其自身区域的相对功率贡献比随年龄显著下降,而其他区域的相对功率贡献比则显著增加。这种变化在额叶较大,在枕叶较小。因此,枕叶α波在3岁后趋于稳定。β频率的发育变化与α活动相似,但δ和θ频率上有显著变化的成分数量较少。因此,脑电图的相对功率贡献使我们能够观察脑电图各部位之间的关系是如何成熟的。

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