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Table 5 Model 1 results using alternative brain signal variability computation methods

From: Epigenetic tuning of brain signal entropy in emergent human social behavior

Model 1: Path coefficients and standard errors
   From:
To: OXTRm MSE SD
MSEAUC and SDCONT MSE − 0.26 (0.12)*
SD 0.10 (0.12)
IBQ-R 0.12 (0.34) 0.35 (0.19)* − 0.07 (0.17)
MSEAUC and SDTXT MSE − 0.26 (0.12)*
SD 0.10 (0.12)
IBQ-R 0.12 (0.34) 0.35 (0.20)* − 0.06 (0.17)
MSEAUC and SDAUC MSE − 0.26 (0.12)*
SD 0.15 (0.12)
IBQ-R 0.12 (0.35) 0.37 (0.21)* − 0.08 (0.22)
MSE1 and SD1 MSE − 0.28 (0.13)*
SD 0.10 (0.12)
IBQ-R 0.09 (0.27) 0.13 (0.59) − 0.03 (0.17)
MSE50 and SD50 MSE − 0.24 (0.12)*
SD 0.15 (0.12)+
IBQ-R 0.12 (0.36) 0.36 (0.18)* − 0.02 (0.18)
MSE100 and SD100 MSE − 0.20 (0.13)+
SD 0.19 (0.11)+
IBQ-R 0.09 (0.26) 0.18 (0.22) 0.07 (0.37)
MSESDRes and SDCONT MSE − 0.20 (0.12)*
SD 0.10 (0.12)
IBQ-R 0.09 (0.21) 0.34 (0.12)* 0.06 (0.12)
  1. Path coefficients and (standard errors) are reported for iterations of study 1, model 1 using alternative computation methods for multiscale entropy and standard deviation of the time series. P values are estimated with delete-1 jackknifing. Boldfaced (*) effects are significant at the p  .05 level. Italicized (+) effects approach significance at the p < .10 level. Abbreviations: MSEAUC area under the multiscale entropy curve, SDCONT standard deviation of the continuous time series, SDTXT standard deviation across trials, SDAUC area under the coarse-grained standard deviation curve, MSE1 multiscale entropy of scale 1, SD1 standard deviation of scale 1, MSE50 multiscale entropy of scale 50, SD50 standard deviation of scale 50, MSE100 multiscale entropy of scale 100, SD100 standard deviation of scale 100, MSESDRes multiscale entropy with standard deviation residualized