Appendix 4—table 1. Main HBN dataset: Bayesian regression model controlling for possible influence of the specParam model fit on effects of age, gender, and diagnosis on the outcome variables.
| Outcome | βpredictor [CI] | |||||
|---|---|---|---|---|---|---|
| Age | Gender | Diagnosis: ADHD | Diagnosis: Other | Age*gender | specParam model fit | |
| Alpha peak frequency | 0.41 [0.34 0.49] | –0.08 [–0.14 –0.02] | –0.07 [–0.17 0.02] | –0.06 [–0.16 0.04] | –0.04 [–0.16 0.08] | –0.04 [–0.10 0.02] |
| Total individualized alpha power | –0.30 [–0.37 –0.23] | –0.34 [–0.37 –0.23] | 0.02 [–0.08 0.11] | 0.01 [–0.09 0.12] | 0.15 [0.04 0.27] | 0.13 [0.07 0.19] |
| Relative individualized alpha power | 0.18 [0.10 0.25] | –0.31 [–0.38 –0.25] | 0.00 [–0.10 0.10] | 0.00 [–0.10 0.11] | –0.03 [–0.15 0.09] | 0.17 [ 0.11 0.23] |
| Aperiodic-adjusted individualized alpha power | 0.27 [0.20 0.34] | –0.35 [–0.41 –0.29] | –0.03 [–0.12 0.07] | –0.02 [–0.13 0.08] | –0.04 [–0.16 0.08] | 0.15 [ 0.09 0.20] |
| Aperiodic intercept | –0.54 [–0.60 –0.48] | –0.31 [–0.36 –0.26] | 0.00 [–0.08 0.09] | –0.01 [–0.09 0.08] | 0.11 [0.02 0.21] | 0.23 [0.18 0.27] |
| Aperiodic slope | –0.43 [–0.49 –0.37] | –0.31 [–0.36 –0.26] | –0.02 [–0.10 0.06] | –0.03 [–0.11 0.06] | –0.01 [–0.10 0.09] | 0.32 [ 0.27 0.37] |
Note: CI = 98.97% Credible Interval, gender variable is dummy coded: 1=female, 0=male.