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使用自回归模型研究学龄儿童脑电图地形图的发育特征

Developmental characteristics of topographic EEG in school-age children using an autoregressive model.

作者信息

Tanimura R, Sonoda H, Ogawa T

机构信息

Department of Pediatrics, Medical College of Oita, Japan.

出版信息

Brain Topogr. 1996 Spring;8(3):261-3. doi: 10.1007/BF01184781.

DOI:10.1007/BF01184781
PMID:8728415
Abstract

Developmental characteristics of the resting EEG were investigated in 47 school-age children using statistical analysis. Total and component EEG power were statistically analyzed between the subject groups from 7 to 14 year-old using our autoregressive pattern discrimination system. In early school-age children, significant topographic differences were seen in theta waves, while in late school-age children, the differences were found in alpha waves in the frontal and occipital regions, and in beta waves in the frontal region.

摘要

利用统计分析方法,对47名学龄儿童静息脑电图的发育特征进行了研究。使用我们的自回归模式识别系统,对7至14岁受试者组之间的脑电图总功率和各成分功率进行了统计分析。在学龄前期儿童中,θ波存在显著的地形差异,而在学龄后期儿童中,额叶和枕叶区域的α波以及额叶区域的β波存在差异。

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本文引用的文献

1
[Developmental characteristics of the beta waves of EEG in normal healthy children].[正常健康儿童脑电图β波的发育特征]
No To Hattatsu. 1989 Sep;21(5):424-9.
2
[Developmental characteristics of the alpha waves of EEG in normal healthy children].[正常健康儿童脑电图α波的发育特征]
No To Hattatsu. 1989 Sep;21(5):417-23.
3
[An application of autoregressive model to pattern discrimination of brain electrical activity mapping].[自回归模型在脑电活动地形图模式识别中的应用]
No To Hattatsu. 1989 Jul;21(4):340-7.
4
Developmental characteristics of topographic EEG in the newborn using an autoregressive model.
Brain Topogr. 1991 Fall;4(1):23-30. doi: 10.1007/BF01129662.