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首页> 外文期刊>Clinical EEG and neuroscience: official journal of the EEG and Clinical Neuroscience Society (ENCS) >A New Method of Diagnosing Attention-Deficit Hyperactivity Disorder in Male Patients by Quantitative EEG Analysis
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A New Method of Diagnosing Attention-Deficit Hyperactivity Disorder in Male Patients by Quantitative EEG Analysis

机译：通过定量脑电图分析诊断男性患者注意力缺陷多动障碍的新方法

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Attention-deficit hyperactivity disorder (ADHD) is one of the most common neuropsychiatric disorders of childhood. Diagnosis of ADHD is based on core symptoms and checklists. However, these are both subjective, which can lead to the problems of overdiagnosis and underdiagnosis. Elevated theta/beta ratio (TBR) of EEG band has been approved by the US Food and Drug Administration as a tool to assist in the diagnosis of ADHD. However, several recent studies have demonstrated that there are no significant differences in TBR between people with and without ADHD. In this study, we attempted to develop a new method for differentiating between male with and without ADHD by analyzing EEG features. Thirty boys with ADHD combined type (aged 8 years 5 months +/- 1 year 11 months) and 30 age-matched controls (aged 8 years 5 months +/- 1 year 8 months) were enrolled in this study. A classification analysis-based approach comprising training and classification phases was developed for classifying each subject's EEG features as ADHD or non-ADHD. Eight crucial feature descriptors were selected and ranked based on the t test. Compared with TBR in our study, the developed method had a higher area under the curve (87.78%), sensitivity (80.0%), and specificity (80.0%). Our method is more precise than using TBR in the diagnosis of ADHD. This newly developed method is a useful tool in identifying patients with ADHD and might reduce the possibility of overdiagnosis and underdiagnosis.
机译：注意力缺陷多动障碍（ADHD）是儿童最常见的神经精神障碍之一。 ADHD的诊断基于核心症状和清单。然而，这些都是主观性的，这可能导致过度吞噬和欠诊断的问题。 EEG频段的升高/β比率（TBR）已被美国食品和药物管理局批准为协助诊断ADHD的工具。然而，最近的几项研究表明，在没有ADHD之间的人与人之间的TBR没有显着差异。在这项研究中，我们试图通过分析EEG特征来开发一种用于区分男性的差异和没有ADHD。三十个具有ADHD组合式（8岁5个月+/- 1年11个月）和30次匹配的控制（8岁5个月+/- 1年8个月）的男孩们参加了本研究。开发了一种基于分类的基于分类的方法，用于将每个受试者的脑电图分类为ADHD或非ADHD。选择八个关键特征描述符并根据T检验排列。与我们研究中的TBR相比，开发方法在曲线下具有更高的面积（87.78％），灵敏度（80.0％）和特异性（80.0％）。我们的方法比在ADHD的诊断中使用TBR更精确。这种新开发的方法是识别患有ADHD患者的有用工具，可能会降低过度诊断和欠诊断的可能性。

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