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. Author manuscript; available in PMC: 2018 Nov 1.
Published in final edited form as: Clin Neurophysiol. 2017 Sep 9;128(11):2358–2368. doi: 10.1016/j.clinph.2017.08.019

Table 4.

Genetic and environmental influences on the association between AAU and theta-band dynamics

AAU Theta-band Phenotype Model-implied correlations Proportion
(%) of rP due to
Phenotype 1 – Phenotype 2 r A E A E rP rG rE A E
AAU – MFC Power Incongruent −.12 .80
(.75, .84)
.20
(.16, .25)
.60
(.51, .67)
.40
(.33, .49)
−.12
(−.20, −.04)
−.16
(−.28, −.04)
−.02
(−.15, .12)
96 4
AAU – MFC-dPFC FC Incongruent −.13 .80
(.75, .84)
.20
(.16, .25)
.39
(.28, .50)
.61
(.50, .72)
−.12
(−.20, −.05)
−.1 7
(−.33, −.02)
−.08
(−.21, .06)
79 21

Notes: Parameter estimates from the separate bivariate AE models between AAU and each theta-band EEG measure. Abbreviations: AAU = adolescent alcohol use; MFC = medial frontal cortex; dPFC = dorsal prefrontal cortex; FC = functional connectivity; r = observed phenotypic correlation; A = additive genetic effects with 95% confidence intervals (CIs); E = nonshared environmental effects; rP = model-implied phenotypic correlation; rG = genetic correlation; rE = nonshared environmental correlation.