Lenartowicz Agatha, Loo Sandra K
Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, 760 Westwood Pl. Suite 17-369, Los Angeles, CA, 90095, USA,
Curr Psychiatry Rep. 2014 Nov;16(11):498. doi: 10.1007/s11920-014-0498-0.
Electroencephalography (EEG) has, historically, played a focal role in the assessment of neural function in children with attention deficit hyperactivity disorder (ADHD). We review here the most recent developments in the utility of EEG in the diagnosis of ADHD, with emphasis on the most commonly used and emerging EEG metrics and their reliability in diagnostic classification. Considering the clinical heterogeneity of ADHD and the complexity of information available from the EEG signals, we suggest that considerable benefits are to be gained from multivariate analyses and a focus towards understanding of the neural generators of EEG. We conclude that while EEG cannot currently be used as a diagnostic tool, vast developments in analytical and technological tools in its domain anticipate future progress in its utility in the clinical setting.
从历史上看,脑电图(EEG)在评估注意力缺陷多动障碍(ADHD)儿童的神经功能方面发挥了核心作用。我们在此回顾脑电图在ADHD诊断中的最新应用进展,重点关注最常用和新兴的脑电图指标及其在诊断分类中的可靠性。考虑到ADHD的临床异质性以及脑电图信号所提供信息的复杂性,我们认为多变量分析以及对脑电图神经发生器的理解将带来显著益处。我们得出结论,虽然目前脑电图不能用作诊断工具,但其领域内分析和技术工具的巨大发展预示着其在临床应用中的未来进展。