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婴儿期 QEEG 参考值。

QEEG norms for the first year of life.

机构信息

Facultad de Medicina, Universidad Autónoma del Estado de México, Mexico.

出版信息

Early Hum Dev. 2011 Oct;87(10):691-703. doi: 10.1016/j.earlhumdev.2011.05.010. Epub 2011 Jun 22.

Abstract

BACKGROUND

QEEG allows a more objective evaluation of cerebral electrical activity as well as the production of topographical maps for easier comprehension. Here we have developed qEEG norms for the first year of life using methods previously published for other age ranges, including for example, regression for Gausssianity before Z transformation. These norms constitute a non-invasive and low cost tool for the functional evaluation of the infant's brain.

RESULTS

Developmental equations were obtained from 101 healthy infants recording at spontaneous quiet sleep stage II. Polynomial regression equations, with age as independent variable, were calculated for full Broad Band Spectral Parameters (BBSP) using the Least Squares technique. Interpolated maps of the BBSP values or their Z transformation were constructed for linked-ear reference, average reference and Laplacian montages. All montages produced similar tendency curves and Z maps of absolute and relative power, and mean frequency at all frequency bands. The norms obtained were validated against an independent group of 50 healthy infants and some pathological cases. 91-98% of cases were well classified as normal across all measures and montages. To exemplify, two pathological cases are presented of which their qEEG maps show resemblance to CT and MRI.

CONCLUSIONS

These qEEG norms are highly useful as an aid to visual interpretation and for the study of pathology further evolution as well as for assessment of infants showing brain risk factors. To our knowledge this is the first normative qEEG study for the initial year of life with such large sample and validation-group.

摘要

背景

QEEG 可更客观地评估大脑电活动,并生成更容易理解的地形图。在此,我们使用先前发表的其他年龄段的方法为生命的第一年制定了 qEEG 标准,例如,在 Z 变换之前进行高斯回归。这些标准构成了一种非侵入性且低成本的婴儿大脑功能评估工具。

结果

从 101 名在自发性安静睡眠 II 期记录的健康婴儿中获得了发育方程。使用最小二乘法,针对全宽带谱参数 (BBSP) ,使用年龄作为自变量,计算了多项式回归方程。为了链接耳参考、平均参考和拉普拉斯蒙太奇,构建了 BBSP 值或其 Z 变换的插值图。所有蒙太奇都产生了相似的趋势曲线和 Z 图的绝对和相对功率以及所有频带的平均频率。所获得的标准与 50 名健康婴儿和一些病理病例的独立组进行了验证。所有测量和蒙太奇中,91-98%的病例都被很好地归类为正常。例如,展示了两个病理病例,其 qEEG 图与 CT 和 MRI 相似。

结论

这些 qEEG 标准对于视觉解释以及研究病理学的进一步演变以及评估表现出大脑危险因素的婴儿非常有用。据我们所知,这是第一个具有如此大样本量和验证组的初始生命年的规范 qEEG 研究。

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