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遗传对支持视觉目标识别的复合神经活动的影响。

Genetic influences on composite neural activations supporting visual target identification.

机构信息

Departments of Psychology and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA 30602, United States.

出版信息

Biol Psychol. 2013 Feb;92(2):329-41. doi: 10.1016/j.biopsycho.2012.11.016. Epub 2012 Nov 29.

Abstract

Behavior genetic studies of brain activity associated with complex cognitive operations may further elucidate the genetic and physiological underpinnings of basic and complex neural processing. In the present project, monozygotic (N=51 pairs) and dizygotic (N=48 pairs) twins performed a visual oddball task with dense-array EEG. Using spatial PCA, two principal components each were retained for targets and standards; wavelets were used to obtain time-frequency maps of eigenvalue-weighted event-related oscillations for each individual. Distribution of inter-trial phase coherence (ITC) and single trial power (STP) over time indicated that the early principal component was primarily associated with ITC while the later component was associated with a mixture of ITC and STP. Spatial PCA on point-by-point broad sense heritability matrices revealed data-derived frequency bands similar to those well established in EEG literature. Biometric models of eigenvalue-weighted time-frequency data suggest a link between physiology of oscillatory brain activity and patterns of genetic influence.

摘要

与复杂认知操作相关的大脑活动的行为遗传学研究可能会进一步阐明基本和复杂神经加工的遗传和生理基础。在本项目中,同卵(N=51 对)和异卵(N=48 对)双胞胎使用密集阵列 EEG 进行了视觉异常任务。使用空间 PCA,保留了两个主要成分分别用于目标和标准;使用小波获得了每个个体特征值加权事件相关振荡的时频图。跨试验相位相干性(ITC)和单试验功率(STP)的时间分布表明,早期主成分主要与 ITC 相关,而后期成分与 ITC 和 STP 的混合物相关。逐点广义遗传力矩阵的空间 PCA 揭示了数据衍生的频带与 EEG 文献中已建立的频带相似。特征值加权时频数据的生物计量模型表明,振荡脑活动的生理学与遗传影响模式之间存在联系。

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