The SMN showed the strongest overlap with component 29 from Allen et al. [ 42], which represents a sensorimotor network (multiple regression value: 0.14).
The aDMN showed the strongest overlap with component 25 from Allen et al. [ 42], which represents the anterior part of the default mode network (multiple regression value: 0.22).
The pDMN showed the strongest overlap with component 50 from Allen et al. [ 42], which represents the posterior part of the default mode network (multiple regression value: 0.14).
Component 55 from Allen et al. [ 42], which represents the fronto-insular salience network, showed the strongest overlap with this network (multiple regression value: 0.22).
Multiple regressions valuing the predictive accuracy of personality traits (TCI-R scores) on ADHD symptoms score (adjusted by age and BMI) for the total sample obtained that higher Novelty Seeking and lower Self-Directedness were related to higher ADHD scores.
Table 4 shows the multiple regressions valuing the relative contribution of patients' sociodemographic variables (sex, age, age of onset, studies level and civil status), personality profile and type of gambling on SCL-90-R depression, anxiety and Global Severity Index (GSI) scale and on the SOGS total score.
We set the criteria of multiple regression p-value < 0.05 to identify significant modulator genes for each gene pair.
Table 2 presents the results of the five multiple regression models valuing the associations between ADHD symptoms, ED symptomatology, general psychopathology, and ED psychopathology, after adjusting by age, in the total and different ED groups.
A power calculation was carried out for the multiple regression R value and number of predictors in table 4. Results showed that the sample size for α=0.05 and power=0.8 was adequate for both the 2008 and the 2010/2011 outcome measures in the table.
28, 29 Using multiple regressions, NEAP values were then regressed on the linear combination of age, weight, BMI, WC, %BF, as well as protein and phosphorus intake.
