Age trends and sex differences of alpha rhythms including split alpha peaks
Age trends and sex differences of alpha rhythms including split alpha peaks
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DOI：
10.1016/j.clinph.2011.01.040
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发表时间：
2011-08-01
影响因子：
4.7
通讯作者：
Kerr, C. C.
中科院分区：
文献类型：
--
作者：
Chiang, A. K. I.;Rennie, C. J.;Kerr, C. C.
目的：研究健康人群脑电α节律的年龄趋势、性别差异和α峰分裂情况。方法：采用自动多点算法对1498名6~86岁健康受试者的脑电α节律进行参数化。从多个电极位置识别的阿尔法峰被组织成相似频率的簇，并研究其性别差异和年龄趋势。结果：主要阿尔法峰的频率、位置和幅度随年龄的变化而显著变化。枕部有更高平均频率、更高功率和更多存在于整个头皮的阿尔法簇。性别间存在频率和功率差异。结论：观察到的α频率在儿童中的增加和在老年人中的减少与早期的研究一致。很大一部分参与者(约44%)表现出多个不同的阿尔法节律，因此只检查峰值功率最高的阿尔法频率的研究可能会产生误导结果。阿尔法频率对年龄和前后位置的强烈依赖性表明，使用固定的阿尔法频段不足以捕捉阿尔法节律的全部特征。意义：本研究建立了健康人群的阿尔法节律参数范围(包括功率和频率)，并量化了整个头皮的阿尔法频率的变化。自动表征使得能够客观地评估大样本上的阿尔法带活动。这些发现可能有助于测试阿尔法生成理论，理论上预测阿尔法节律的分裂发生在皮质丘脑前环和后环轴突长度差异很大的个体中。皇冠版权所有(C)2011，由爱思唯尔爱尔兰有限公司代表国际临床神经生理学联合会出版。版权所有。
Objective: To investigate age trends, sex differences, and splitting of alpha peaks of the EEG spectrum in the healthy population.Methods: An automated multi-site algorithm was used to parametrize the alpha rhythm in 1498 healthy subjects aged 6-86 years. Alpha peaks identified from multiple electrode sites were organized into clusters of similar frequencies whose sex differences and age trends were investigated.Results: Significant age-related trends were observed for frequency, position, and amplitude of dominant alpha peaks. Occipital sites had alpha clusters of higher average frequency, higher power, and greater presence across the scalp. Frequency and power differences were found between the sexes.Conclusion: Observed increases in alpha frequency in children and decreases in the elderly were consistent with those from earlier studies. A large fraction of participants (approximate to 44%) showed multiple distinct alpha rhythm thus investigations which only examine the alpha frequency with the highest peak power can produce misleading results. The strong dependence of alpha frequency on age and anterior-posterior position indicates use of a fixed alpha frequency band is insufficient to capture the full characteristics of the alpha rhythm.Significance: This study establishes alpha rhythm parameter ranges (including power and frequency) in the healthy population, and quantifies the variation in alpha frequency across the scalp. The automated characterization enables objective evaluations of alpha band activities over large samples. These findings are potentially useful in testing theories of alpha generation, where splitting of the alpha rhythm has been theoretically predicted to occur in individuals with large differences in axon length between anterior and posterior corticothalamic loops. Crown Copyright (C) 2011 Published by Elsevier Ireland Ltd. on behalf of International Federation of Clinical Neurophysiology. All rights reserved.