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首页> 外文期刊>The European Journal of Neuroscience >EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD
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EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD

机译：EEG光谱功率，但不是θ/β比，是成年人ADHD的神经标志物

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Adults with attention-deficit/hyperactivity disorder (ADHD) have been described as having altered resting-state electroencephalographic (EEG) spectral power and theta/beta ratio (TBR). However, a recent review (Pulini et al. 2018) identified methodological errors in neuroimaging, including EEG, ADHD classification studies. Therefore, the specific EEG neuromarkers of adult ADHD remain to be identified, as do the EEG characteristics that mediate between genes and behaviour (mediational endophenotypes). Resting-state eyes-open and eyes-closed EEG was measured from 38 adults with ADHD, 45 first-degree relatives of people with ADHD and 51 unrelated controls. A machine learning classification analysis using penalized logistic regression (Elastic Net) examined if EEG spectral power (1-45 Hz) and TBR could classify participants into ADHD, first-degree relatives and/or control groups. Random-label permutation was used to quantify any bias in the analysis. Eyes-open absolute and relative EEG power distinguished ADHD from control participants (area under receiver operating characteristic = 0.71-0.77). The best predictors of ADHD status were increased power in delta, theta and low-alpha over centro-parietal regions, and in frontal low-beta and parietal mid-beta. TBR did not successfully classify ADHD status. Elevated eyes-open power in delta, theta, low-alpha and low-beta distinguished first-degree relatives from controls (area under receiver operating characteristic = 0.68-0.72), suggesting that these features may be a mediational endophenotype for adult ADHD. Resting-state EEG spectral power may be a neuromarker and mediational endophenotype of adult ADHD. These results did not support TBR as a diagnostic neuromarker for ADHD. It is possible that TBR is a characteristic of childhood ADHD.
机译：成人注意缺陷多动障碍（ADHD）被描述为改变了静息状态脑电图（EEG）频谱功率和θ/β比值（TBR）。然而，最近的一项综述（Pulini et al.2018）发现了神经成像的方法学错误，包括EEG、ADHD分类研究。因此，成人ADHD的特定EEG神经标记物以及介导基因和行为（中介内表型）的EEG特征仍有待确定。对38名多动症成年人、45名多动症患者的一级亲属和51名无关对照者的静息状态睁眼和闭眼脑电图进行了测量。使用惩罚逻辑回归（弹性网络）进行机器学习分类分析，检查EEG频谱功率（1-45 Hz）和TBR是否可以将参与者分为ADHD、一级亲属和/或对照组。随机标签置换用于量化分析中的任何偏差。眼睛睁开绝对和相对EEG功率将ADHD与对照组参与者区分开来（受试者工作特征下的面积=0.71-0.77）。ADHD状态的最佳预测因素是中央-顶叶区域的δ、θ和低α，以及额叶低β和顶叶中β的功率增加。TBR没有成功地将ADHD状态分类。delta、θ、低α和低β的睁眼能力升高将一级亲属与对照组区分开来（受试者操作特征下的面积=0.68-0.72），这表明这些特征可能是成人ADHD的中间内表型。静息状态EEG频谱功率可能是成人ADHD的神经标志物和中介内表型。这些结果不支持TBR作为ADHD的诊断神经标志物。TBR可能是儿童多动症的一个特征。

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