心理学
判别式
脑电图
评定量表
听力学
任务(项目管理)
注意缺陷多动障碍
发展心理学
考试(生物学)
临床心理学
精神科
人工智能
医学
古生物学
管理
经济
生物
计算机科学
作者
I‐Chun Chen,Pai-Wei Lee,Liang‐Jen Wang,Chih-Hao Chang,Cheng-Hsiu Lin,Li‐Wei Ko
标识
DOI:10.1177/10870547211045739
摘要
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.
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