Table 1 Pearson correlations among variables used in the Bayesian Network modeling.

From: Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning

 

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

1. Baseline DPFC Thickness

                

2. Change DPFC Thickness

0.50

               

3. Change Cannabis Use

−0.04

0.17

              

4. Tobacco Use Baseline

0.14

0.04

0.26

             

5. Change Tobacco Use

−0.03

0.09

0.49

−0.05

            

6. Alcohol Use Baseline

−0.06

−0.02

0.26

0.39

0.19

           

7. Change Alcohol Use

0.03

−0.08

0.19

0.13

0.28

0.32

          

8. Handedness

−0.02

0.03

0.01

0.05

−0.06

0

−0.02

         

9. Baseline Age

0.13

0.10

−0.03

0.04

0.09

0.05

−0.05

−0.04

        

10. Cannabis PRS

−0.01

−0.01

0.10

−0.05

0.11

0.06

0.07

−0.07

−0.02

       

11. SES

0.06

−0.04

0.02

0.17

−0.06

−0.04

0.08

−0.01

−0.07

0.05

      

12. Pubertal Development

0

0.09

0

0.03

0.05

0.17

−0.08

−0.02

0.23

−0.05

0.02

     

13. ADHD Baseline

0.04

0.11

0.11

0.06

0.13

0.12

0.06

−0.01

0.08

0.04

0.10

−0.08

    

14. Change ADHD

−0.01

0.04

0

−0.04

0.03

0.10

0.08

−0.01

0.01

0.04

0.02

0.02

0.56

   

15. Childhood Trauma

−0.03

0.01

0.02

0.05

−0.01

0.01

−0.02

0.07

0.01

0.01

0.08

−0.05

0

0.05

  

16. SS

0.11

0

0.16

0.14

0.13

0.23

0.02

−0.02

−0.04

0.01

0

0.10

0.08

−0.02

−0.03

 

17. Change SS

0.09

−0.05

0.09

0.08

0.07

0.10

0.17

−0.03

0.08

0.05

0

−0.06

0.06

0.04

0.04

0.49

  1. All variables were residualized for site and sex. Bold text indicates p < 0.05.
  2. PRS Cannabis use polygenic risk score, DPFC dorsal prefrontal thickness, SES Socioeconomic Status, ADHD attention/deficit-hyperactivity disorder, SS sensation seeking, Change change in a variable from ages 14 to 19.