van Beijsterveldt C E M, van Baal G C M
Department of Biological Psychology, Vrije Universiteit, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands.
Biol Psychol. 2002 Oct;61(1-2):111-38. doi: 10.1016/s0301-0511(02)00055-8.
Electrophysiological measures may be useful markers of the genetic underpinnings of complex behavior and psychopathology. Twin and family studies have been used to estimate the genetic contribution to the individual differences in a variety of electrophysiological measures. These studies are briefly reviewed here and published twin correlations from a number of studies with comparable methodology were selected for structural equation meta-analyses. For electroencephalographic (EEG) alpha power (11 twin groups) the heritability estimates in each of the single studies were high (averaged 79%), but it was not possible to equate the twin correlations across studies in the meta-analysis. In contrast, combining the data on alpha peak frequency (five twin groups) revealed a 'meta'-heritability of 81% (95% CI: 76-84%). Aggregating the twin correlations of five twin studies on the P300, the estimated meta-heritability is 60% (95% CI: 54-65%) for P300 amplitude and 51% (95% CI: 43-58%) for P300 latency. It is concluded that genomic variation contributes significantly to individual differences in all EEG and event related potential (ERP) measures studied to date.
电生理测量可能是复杂行为和精神病理学遗传基础的有用标志物。双胞胎和家族研究已被用于估计各种电生理测量中个体差异的遗传贡献。本文简要回顾了这些研究，并选择了一些采用可比方法的研究中已发表的双胞胎相关性进行结构方程元分析。对于脑电图（EEG）α波功率（11个双胞胎组），每项单一研究中的遗传度估计值都很高（平均79%），但在元分析中无法使各研究中的双胞胎相关性相等。相比之下，综合α波峰值频率的数据（五个双胞胎组）显示“元”遗传度为81%（95%可信区间：76 - 84%）。汇总五项关于P300的双胞胎研究的双胞胎相关性，P300波幅的估计元遗传度为60%（95%可信区间：54 - 65%），P300潜伏期的估计元遗传度为51%（95%可信区间：43 - 58%）。得出的结论是，基因组变异对迄今为止所研究的所有脑电图和事件相关电位（ERP）测量中的个体差异有显著贡献。
