Gmehlin Dennis, Thomas Christine, Weisbrod Matthias, Walther Stephan, Pfüller Ute, Resch Franz, Oelkers-Ax Rieke
Section of Experimental Psychopathology and Neurophysiology, Department of Psychiatry, University of Heidelberg, Voss-Straße 4, 69115 Heidelberg, Germany.
Int J Dev Neurosci. 2011 Apr;29(2):163-70. doi: 10.1016/j.ijdevneu.2010.11.005. Epub 2010 Dec 4.
Quantitative EEG can monitor changes in brain function during development and may help to understand developmental disorders. However, current EEG-databases are primarily based on standardized frequency bands which disregard age-related changes in alpha peak frequency (PF) and therefore complicate the interpretation of spectral estimates in the theta and alpha range.
We used a two point longitudinal design in order to analyze intraindividual changes in 40 healthy children and adolescents with age (T1: 6-18 years; interval approximately 4 years). Using a 64-channel eyes closed resting EEG we calculated absolute/relative power in individualized frequency bands (IFB: delta, theta, alpha1/2 and beta) based on PF.
PF increased with age, with changes being larger for children than adolescents. Controlling for changes in PF, changes in absolute/relative alpha1/2 power and in absolute beta power were minor. Relative beta power, however, increased while absolute/relative delta and theta power decreased massively. Sex-differences in PF did not reach significance. However, boys exhibited larger changes during adolescence than girls for all absolute power measures except alpha.
Normal EEG development during school-age is mainly based on an absolute decrease of slow frequency activity and increases of PF which may be interpreted in terms of a reorganization of the EEG towards a higher frequency oscillatory scale rather than a maturation of the theta-alpha1/2 band power sequence. Age-related changes differed between boys and girls suggesting a different developmental timing for the sexes. In future studies a combined analysis of PF and IFB may help to specify deviations in developmental disorders.
定量脑电图可监测发育过程中脑功能的变化，并可能有助于理解发育障碍。然而，当前的脑电图数据库主要基于标准化频段，而忽略了与年龄相关的阿尔法峰值频率（PF）变化，因此使得对θ波和阿尔法波范围内频谱估计的解释变得复杂。
我们采用两点纵向设计，以分析40名6至18岁（间隔约4年）健康儿童和青少年的个体内变化。使用64导闭眼静息脑电图，我们基于PF计算个体化频段（IFB：δ波、θ波、阿尔法1/2波和β波）的绝对/相对功率。
PF随年龄增加，儿童的变化比青少年更大。在控制PF变化的情况下，绝对/相对阿尔法1/2波功率和绝对β波功率的变化较小。然而，相对β波功率增加，而绝对/相对δ波和θ波功率大幅下降。PF的性别差异不显著。然而，除阿尔法波外，在所有绝对功率测量中，男孩在青春期的变化都比女孩大。
学龄期正常脑电图发育主要基于低频活动的绝对减少和PF的增加，这可以解释为脑电图向更高频率振荡尺度的重组，而不是θ波-阿尔法1/2波频段功率序列的成熟。与年龄相关的变化在男孩和女孩之间有所不同，表明两性的发育时间不同。在未来的研究中，PF和IFB的联合分析可能有助于明确发育障碍中的偏差。
