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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
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BMC Medicine

ISSN: 1741-7015

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