Differentiating autistic children with quantitative encephalography: A 3-month longitudinal study
Differentiating autistic children with quantitative encephalography: A 3-month longitudinal study
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DOI：
10.1177/08830738060210050501
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发表时间：
2006-05-01
影响因子：
1.9
通讯作者：
Leung, Winnie W. M.
中科院分区：
文献类型：
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作者：
Chan, Agnes S.;Leung, Winnie W. M.
本研究采用单通道定量脑电图（EEG）评估来区分自闭症儿童和正常对照组。105名正常儿童和17名自闭症儿童参加了这项研究。除了δ、θ、α、感觉运动节律和β频带的振幅测量以及θ与β的比率外，还检查了6分钟内和3个月内的振幅。结果表明，孤独症儿童的定量脑电活动在多个频段上的幅值均显著高于正常儿童，且在6分钟内的定量脑电活动相对不稳定。判别函数分析显示，绝对感觉运动节律和β振幅是正确区分自闭症儿童与正常儿童的最佳预测因子，准确率高达95.2%。此外，正常儿童和自闭症儿童的定量脑电图测量结果在3个月内基本一致。
The present study used a single-channel quantitative electroencephalographic (EEG) assessment to differentiate autistic children from normal control subjects. One hundred five normal and 17 autistic children participated in the study In addition to amplitude measures of the frequency bands of delta, theta, alpha, sensorimotor rhythm, and beta and the theta to beta ratio, intra- (6 minutes) and intersessional (3 months) consistencies were also examined. The results indicated that autistic children showed significantly higher quantitative EEG amplitudes in many of the frequency bands than normal children; furthermore, their quantitative EEG activities were found to be relatively unstable within a 6-minute session compared with normal children. Discriminant function analyses revealed that absolute sensorimotor rhythm and beta amplitudes were the best predictors that correctly differentiated autistic children from normal children in the present sample, with a high accuracy rate of 95.2%. In addition, quantitative EEG measurements of normal and autistic children were found to be generally consistent across the 3-month period.