Does resting electroencephalograph asymmetry reflect a trait? an application of latent state-trait theory.
Does resting electroencephalograph asymmetry reflect a trait? an application of latent state-trait theory.
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静息脑电图不对称是否反映了特征？
DOI：
10.1037/0022-3514.82.4.619
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发表时间：
2002
影响因子：
7.6
通讯作者：
Dieter Bartussek
中科院分区：
文献类型：
--
作者：
Dirk Hagemann;E. Naumann;J. Thayer;Dieter Bartussek
最近的研究大脑的不对称性和情绪治疗措施的休息脑电图（EEG）不对称性作为真正的特质变量，但不一致的报告结果和适度的重测相关的基线不对称性不符合这种做法。本研究探讨了另一种假设，即静息脑电不对称性是一个traitlike激活不对称性与大量的状态依赖性波动的叠加。对59名被试进行了4次静息脑电测量，并根据潜在状态-特质理论对数据进行了分析。对于大多数头皮区域，约60%的方差的不对称措施是由于个体差异的时间稳定的潜在性状，和40%的方差是由于特定的波动，但测量误差是可以忽略不计的。进一步的分析表明，这些波动可能会有效地减少在几个场合的汇总。
Recent research on brain asymmetry and emotion treated measures of resting electroencephalograph (EEG) asymmetry as genuine trait variables, but inconsistency in reported findings and modest retest correlations of baseline asymmetry are not consistent with this practice. The present study examined the alternative hypothesis that resting EEG asymmetry represents a superimposition of a traitlike activation asymmetry with substantial state-dependent fluctuations. Resting EEG was collected from 59 participants on 4 occasions of measurement, and data were analyzed in terms of latent state-trait theory. For most scalp regions, about 60% of the variance of the asymmetry measure was due to individual differences on a temporally stable latent trait, and 40% of the variance was due to occasion-specific fluctuations, but measurement errors were negligible. Further analyses indicated that these fluctuations might be efficiently reduced by aggregation across several occasions.
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影响因子：
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作者：
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通讯作者：
A. Tomarken;R. Davidson;Jeffrey B. Henriques
影响因子：
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作者：
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作者：
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通讯作者：
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影响因子：
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作者：
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