Objectives: This study investigated the discriminative validity of various single or combined measurements of electroencephalogram (EEG) data, Conners' Kiddie Continuous Performance Test (K-CPT), and Disruptive Behavior Disorder Rating Scale (DBDRS) to differentiate preschool children with ADHD from those with typical development (TD).
Method: We recruited 70 preschoolers, of whom 38 were diagnosed with ADHD and 32 exhibited TD; all participants underwent the K-CPT and wireless EEG recording in different conditions (rest, slow-rate, and fast-rate task).
Results: Slow-rate task-related central parietal delta (1-4 Hz) and central alpha (8-13 Hz) and beta (13-30 Hz) powers between groups with ADHD and TD were significantly distinct ( < .05). A combination of DBDRS, K-CPT, and specific EEG data provided the best probability scores (area under curve = 0.926, < .001) and discriminative validity to identify preschool children with ADHD (overall correct classification rate = 85.71%).
Conclusions: Multi-method and multi-informant evaluations should be emphasized in clinical diagnosis of preschool ADHD.
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http://dx.doi.org/10.1177/10870547211045739 | DOI Listing |
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