Life-span changes in EEG spectral amplitude, amplitude variability and mean frequency

Life-span changes in EEG spectral amplitude, amplitude variability and mean frequency
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DOI:
10.1016/s1388-2457(99)00102-9
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发表时间:
1999-08-01
影响因子:
4.7
通讯作者:
Emmerson, RY
Emmerson, RY
中科院分区:
医学3区
文献类型:
--
作者:
Dustman, RE;Shearer, DE;Emmerson, RY

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目的:目的是评估脑电图(EEG)频谱振幅的个体内变异性以及由频谱振幅曲线计算得出的振幅和平均频率在寿命期间的变化。 方法:对222名年龄在4岁到90岁的健康男性的中央和枕部头皮进行脑电图记录。由快速傅里叶变换(FFT)程序得出的振幅频谱曲线为计算五个频谱带中每个频带的振幅变异性(ampCV)、绝对振幅、相对振幅和平均频率提供了数据。数据分析采用方差分析、相关系数和t检验。 结果:ampCV测量并未提供脑电图频率中与年龄相关的个体内变化的直接证据,但对于记录有节律的脑电图活动的存在是有用的。绝对振幅在儿童时期显著下降,此后变化很小。相对振幅的年龄变化更为复杂,并且对于慢波和快波脑电图活动有所不同。我们还报告说,在某些情况下,一种经常用于估计平均频率的算法会在平均频率计算中引入一致的偏差。 结论:所测量的脑电图特征在寿命期间的变化通常与早期研究的结果一致。研究人员验证和描述用于确定脑电图频谱数据平均频率的程序是很重要的。(C)1999年爱思唯尔科学爱尔兰有限公司。保留所有权利。
Objectives: The objectives were to assess life-span alterations in intrasubject variability of EEG spectral amplitudes and in amplitude and mean frequency computed from spectral amplitude profiles.Methods: EEG was recorded from the central and occipital scalp of 222 healthy males aged 4 to 90 years. Amplitude spectral profiles derived from FFT procedures provided data for the computation of amplitude variability (ampCV), absolute and relative amplitude and mean frequency for each of five spectral bands. Analysis of variance, coefficient of correlation and t test were employed in data analyses.Results: The ampCV measure did not provide direct evidence of age-related intrasubject changes in EEG frequency but was useful for indexing the presence of rhythmic EEG activity. Marked decreases in absolute amplitude occurred during childhood with little change thereafter. Age changes in relative amplitude were more complex and differed for slow and fast EEG activity. We also report that an algorithm frequently used to estimate mean frequency can introduce consistent bias into mean frequency computations under some conditions.Conclusions: Life-span changes in measured EEG characteristics were generally consistent with those from earlier studies. It is important that investigators validate and describe procedures used to determine mean frequency of EEG spectral data. (C) 1999 Elsevier Science Ireland Ltd. All rights reserved.