Brain arousal regulation in adults with attention-deficit/hyperactivity disorder (ADHD)
Brain arousal regulation in adults with attention-deficit/hyperactivity disorder (ADHD)
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DOI：
10.1016/j.psychres.2017.12.043
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发表时间：
2018-03-01
影响因子：
11.3
通讯作者：
Hegerl, Ulrich
中科院分区：
文献类型：
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作者：
Strauss, Maria;Ulke, Christine;Hegerl, Ulrich
当前研究的主要目的是验证一个假设，即患有注意力缺陷/多动障碍（ADHD）的成年患者的大脑唤醒调节比健康对照者更不稳定。我们使用Leipzig警戒算法（VIGALL 2.1）客观评估脑觉醒调节，分析33例ADHD患者和35例匹配对照的15分钟静息脑电图数据。基于自动分类的1-s段，我们计算了平均脑电图警惕性（指数唤醒水平）和觉醒稳定性评分（指数唤醒调节）。成人ADHD患者的觉醒水平明显低于对照组，且大脑觉醒调节的稳定性明显低于对照组。多元回归分析表明，唤醒调节（即唤醒稳定性评分）预测了儿童ADHD症状的回顾性评估严重程度，支持脑唤醒调节的特质方面。我们的发现支持ADHD的觉醒调节模型，该模型将多动和感觉寻求解释为对大脑觉醒不稳定调节的自我调节反应。基于脑电图的觉醒参数可能是成人ADHD的候选生物标志物。
The main aim of the current study was to test the hypothesis that adult patients with attention-deficit/hyper-activity disorder (ADHD) have less stable brain arousal regulation than healthy controls. We objectively assessed brain arousal regulation using the Vigilance Algorithm Leipzig (VIGALL 2.1) to analyze 15-min resting EEG data of thirty-three ADHD patients and thirty-five matched controls. Based on automatically classified 1-s segments we computed mean EEG-vigilance (indexing arousal level) and arousal stability score (indexing arousal regulation). Adult ADHD patients showed significantly lower arousal levels and significantly less stable brain arousal regulation than controls. Multiple regression analysis indicated that arousal regulation (i.e., arousal stability score) predicted the retrospectively-assessed severity of childhood ADHD symptoms, supporting the trait aspect of brain arousal regulation. Our findings support the arousal regulation model of ADHD, which interprets hyperactivity and sensation seeking as an autoregulatory reaction to an unstable regulation of brain arousal. EEG-based arousal parameters may be candidate biomarkers for adult ADHD.