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. 2022 Jul 12;57:101134. doi: 10.1016/j.dcn.2022.101134

Table 3.

Regressions examining age and sex effects of each microstate’s temporal parameters.

GEV
 Duration
 Coverage
 Occurrence
Variable B SE B β p B SE B β p B SE B β p B SE B β p
Microstate 1 F(3, 99) = 2.13, R2 = .03, p = .18 F(3, 98) = 0.99, R2 = − .0002, p = .49 F(3, 99) = 1.92, R2 = .03, p = .21 F(3, 98) = 3.34, R2 = .06, p = .06
 (Intercept) 0.09 0.003 – < 0.001*** 78.61 0.43 – < 0.001*** 19.66 0.41 – < 0.001*** 2.18 0.03 – < 0.001***
 Age 0.003 0.003 0.10 .30 0.48 0.41 0.12 .24 0.31 0.38 0.08 .42 0.02 0.03 0.07 .46
 Sex 0.01 0.003 0.21 .03* 0.40 0.43 0.09 .36 0.90 0.41 0.22 .03* 0.09 0.03 0.30 .003**
 Age * Sex -0.002 0.003 -0.08 .40 0.26 0.41 0.06 .53 -0.20 0.38 -0.05 .60 -0.01 0.03 -0.03 .78
Microstate 2 F(3, 98) = 0.41, R2 = − .02, p = .80 F(3, 95) = 0.47, R2 = − .02, p = .80 F(3, 98) = 0.28, R2 = − .02, p = .84 F(3, 99) = 1.01, R2 = .0003, p = .49
 (Intercept) 0.16 0.005 – < 0.001*** 84.71 0.60 – < 0.001*** 26.79 0.56 – < 0.001*** 2.68 0.04 – < 0.001***
 Age -0.002 0.004 -0.04 .73 0.62 0.55 0.12 .26 0.02 0.53 0.004 .97 -0.03 0.03 -0.09 .37
 Sex 0.002 0.005 0.05 .64 -0.19 0.58 -0.03 .74 0.05 0.56 0.01 .93 -0.01 0.04 -0.02 .83
 Age * Sex -0.004 0.004 -0.09 .38 0.002 0.55 0.0003 .998 -0.48 0.53 -0.09 .37 -0.04 0.03 -0.13 .20
Microstate 3 F(3, 98) = 1.82, R2 = .02, p = .22 F(3, 97) = 4.46, R2 = .09, p = .046* F(3, 99) = 2.97, R2 = .05, p = .08 F(3, 92) = 2.18, R2 = .04, p = .18
 (Intercept) 0.28 0.01 – < 0.001*** 100.27 0.97 – < 0.001*** 39.24 0.77 – < 0.001*** 3.22 0.02 – < 0.001***
 Age 0.01 0.01 0.08 .41 1.40 0.91 0.15 .13 0.61 0.72 0.08 .41 -0.03 0.02 -0.14 .17
 Sex -0.01 0.01 -0.21 .04* -3.20 0.97 -0.32 .001** -2.18 0.77 -0.27 .005** -0.03 0.02 -0.16 .12
 Age * Sex -0.01 0.01 -0.07 .46 -0.19 0.91 -0.02 .83 -0.39 0.72 -0.05 .59 -0.02 0.02 -0.12 .23
Microstate 4 F(3, 97) = 3.77, R2 = .08, p = .046* F(3, 99) = 3.70, R2 = .07, p = .046* F(3, 99) = 3.95, R2 = .08, p = .046* F(3, 99) = 3.84, R2 = .08, p = .046*
 (Intercept) 0.06 0.003 – < 0.001*** 74.08 0.57 – < 0.001*** 14.13 0.52 – < 0.001*** 1.67 0.05 – < 0.001***
 Age -0.004 0.003 -0.15 .14 -0.19 0.53 -0.03 .72 -0.69 0.49 -0.14 .17 -0.07 0.05 -0.15 .13
 Sex 0.01 0.003 0.20 .04* 0.67 0.57 0.11 .24 1.04 0.52 0.19 .049* 0.11 0.05 0.20 .03*
 Age * Sex 0.01 0.003 0.23 .02* 1.66 0.53 0.30 .002** 1.31 0.49 0.26 .009** 0.11 0.05 0.23 .02*

Note. The denominator or error degrees of freedom for each model varies because observations flagged as outliers were removed (i.e., the sample size for each model varies). R2 values were adjusted for three predictors. Full model p values were Benjamini-Hochberg-corrected for 16 comparisons, but p values at the predictor-level were not corrected:

*

p < .05.

**

p < .01.

***

p < .001.