Table 1.
Participant Sample Characteristics.
Table 2.
Linear regression of model data DIAGNOSIS + AGE + SEX + ICV, assessing the importance of the diagnostic group on structural data.
Fig 1.
Overlay of brain areas that significantly differ in their WM properties due to ADHD diagnosis.
Table 3.
Linear regression of model data DIAGNOSIS + AGE + SEX + ICV, assessing the importance of the diagnostic group on structural data.
Table 4.
Linear regression of model data CHILDHOOD SYMPTOMS + AGE + SEX + ICV, assessing the importance of the total number of self-reported childhood symptoms on structural data.
Table 5.
Linear regression of model data ADULT SYMPTOMS + AGE + SEX + ICV, assessing the importance of the total number of self-reported adult symptoms on structural data.
Fig 2.
Receiver Operating Characteristics for predicting ADHD based on white matter density.
The predictive power for the area under the curve is 0.917.
Fig 3.
Brain circuitry associated with ADHD.