Table 1. Bayesian regression model results of full sample with categorical diagnosis predictor.
Outcome | βpredictor [CI] | ||||
---|---|---|---|---|---|
age | gender | diagnosis: ADHD | diagnosis: Other | age*gender | |
alpha peak frequency | 0.42 [0.34 0.49] | –0.08 [–0.15 –0.02] | –0.09 [–0.19 0.01] | –0.07 [–0.17 0.04] | –0.04 [–0.15 0.08] |
total individualized alpha power | –0.31 [–0.38 –0.24] | –0.37 [–0.43 –0.31] | 0.01 [–0.09 0.10] | 0.01 [–0.09 0.12] | 0.13 [0.01 0.25] |
Relative individualized alpha power | 0.14 [0.06 0.22] | –0.35 [–0.41 –0.28] | –0.01 [–0.11 0.10] | 0.01 [–0.10 0.12] | –0.05 [–0.17 0.07] |
aperiodic-adjusted individualized alpha power | 0.23 [0.16 0.30] | –0.39 [–0.45 –0.33] | –0.04 [–0.14 0.05] | –0.02 [–0.13 0.08] | –0.06 [–0.17 0.06] |
aperiodic intercept | –0.54 [–0.61 –0.48] | –0.37 [–0.42 –0.32] | –0.02 [–0.10 0.07] | –0.02 [–0.10 0.08] | 0.08 [–0.02 0.19] |
aperiodic slope | –0.44 [–0.51 –0.38] | –0.39 [–0.44 –0.33] | –0.04 [–0.12 0.05] | –0.03 [–0.12 0.06] | –0.05 [–0.15 0.06] |
Note: Credible Interval (CI)=99.17%.