Abstract
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 (p <.05). A combination of DBDRS, K-CPT, and specific EEG data provided the best probability scores (area under curve = 0.926, p <.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.
Original language | English |
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Pages (from-to) | 1-11 |
Number of pages | 11 |
Journal | Journal of Attention Disorders |
DOIs | |
State | E-pub ahead of print - 23 Dec 2021 |
Keywords
- ADHD
- Conners’ Kiddie continuous performance test (K-CPT)
- Disruptive Behavior Disorder Rating Scale (DBDRS)
- electroencephalography (EEG)
- preschool children