Table 7 Model 3 results using alternative brain signal variability computation methods

MSE_AUC and SD_CONT

MSE

− 0.33 (0.13)*

–

–

SD

0.14 (0.15)

–

–

Social IBQ-R

− 0.12 (0.15)

0.26 (0.12)*

− 0.09 (0.31)

Non-social IBQ-R

0.13 (0.12)

0.36 (0.19)*

− 0.10 (0.37)

MSE_AUC and SD_TXT

MSE

− 0.33 (0.13)*

–

–

SD

0.14 (0.15)

–

–

Social IBQ-R

− 0.04 (0.16)

0.25 (0.13)*

0.12 (0.14)

Non-social IBQ-R

− 0.02 (0.14)

0.45 (0.25)*

− 0.16 (0.80)

MSE_AUC and SD_AUC

MSE

− 0.33 (0.13)*

–

–

SD

0.19 (0.15)⁺

–

–

Social IBQ-R

− 0.12 (0.15)

0.26 (0.13)*

0.03 (0.29)

Non-social IBQ-R

0.13 (0.12)

0.35 (0.23)

− 0.09 (0.55)

MSE₁ and SD₁

MSE

− 0.27 (0.14)*

–

–

SD

0.14 (0.15)

–

–

Social IBQ-R

− 0.21 (0.18)

− 0.17 (0.68)

− 0.22 (0.36)

Non-social IBQ-R

0.12 (0.31)

0.11 (0.15)

− 0.15 (0.16)

MSE₅₀ and SD₅₀

MSE

− 0.33 (0.13)*

–

–

SD

0.19 (0.15)

–

–

Social IBQ-R

− 0.13 (0.15)

0.24 (0.13)*

− 0.08 (0.26)

Non-social IBQ-R

0.10 (0.14)

0.27 (0.21)

− 0.01 (0.23)

MSE₁₀₀ and SD₁₀₀

MSE

− 0.23 (0.14)⁺

–

–

SD

0.24 (0.14)⁺

–

–

Social IBQ-R

− 0.13 (0.16)

0.40 (0.14)*

− 0.07 (0.12)

Non-social IBQ-R

0.11 (0.22)

0.20 (0.22)

− 0.10 (0.20)

MSE_SDRes and SD_CONT

MSE

− 0.28 (0.11)*

–

–

SD

0.14 (0.15)

–

–

Social IBQ-R

− 0.13 (0.16)

0.28 (0.13)*

− 0.16 (0.11)⁺

Non-social IBQ-R

0.17 (0.33)

0.30 (0.19)⁺

0.04 (0.20)