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Table 1.

Participant Sample Characteristics.

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Table 2.

Linear regression of model data DIAGNOSIS + AGE + SEX + ICV, assessing the importance of the diagnostic group on structural data.

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Table 2 Expand

Fig 1.

Overlay of brain areas that significantly differ in their WM properties due to ADHD diagnosis.

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Table 3.

Linear regression of model data DIAGNOSIS + AGE + SEX + ICV, assessing the importance of the diagnostic group on structural data.

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Table 3 Expand

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.

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Table 4 Expand

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.

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Table 5 Expand

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.

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Fig 2 Expand

Fig 3.

Brain circuitry associated with ADHD.

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Fig 3 Expand