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Different Spectral Analysis Methods for the Theta/Beta Ratio Calculate Different Ratios But Do Not Distinguish ADHD from Controls.
Applied Psychophysiology and Biofeedback ( IF 3.000 ) Pub Date : 2020-05-20 , DOI: 10.1007/s10484-020-09471-2
Hanneke van Dijk 1 , Roger deBeus 2 , Cynthia Kerson 3, 4 , Michelle E Roley-Roberts 5 , Vincent J Monastra 6 , L Eugene Arnold 5 , Xueliang Pan 7 , Martijn Arns 1, 8, 9
Affiliation  

There has been ongoing research on the ratio of theta to beta power (Theta/Beta Ratio, TBR) as an EEG-based test in the diagnosis of ADHD. Earlier studies reported significant TBR differences between patients with ADHD and controls. However, a recent meta-analysis revealed a marked decline of effect size for the difference in TBR between ADHD and controls for studies published in the past decade. Here, we test if differences in EEG processing explain the heterogeneity of findings. We analyzed EEG data from two multi-center clinical studies. Five different EEG signal processing algorithms were applied to calculate the TBR. Differences between resulting TBRs were subsequently assessed for clinical usability in the iSPOT-A dataset. Although there were significant differences in the resulting TBRs, none distinguished between children with and without ADHD, and no consistent associations with ADHD symptoms arose. Different methods for EEG signal processing result in significantly different TBRs. However, none of the methods significantly distinguished between ADHD and healthy controls in our sample. The secular effect size decline for the TBR is most likely explained by factors other than differences in EEG signal processing, e.g. fewer hours of sleep in participants and differences in inclusion criteria for healthy controls.

中文翻译:

Theta/Beta 比率的不同光谱分析方法计算不同的比率,但不要将 ADHD 与对照区分开来。

一直在研究 theta 与 beta 功率的比率(Theta/Beta 比率,TBR)作为基于 EEG 的 ADHD 诊断测试。早期的研究报告了 ADHD 患者和对照组之间显着的 TBR 差异。然而,最近的一项荟萃​​分析显示,在过去十年中发表的研究中,ADHD 与对照组之间 TBR 差异的影响大小显着下降。在这里,我们测试 EEG 处理的差异是否可以解释结果的异质性。我们分析了来自两项多中心临床研究的 EEG 数据。应用五种不同的 EEG 信号处理算法来计算 TBR。随后对 iSPOT-A 数据集中的临床可用性评估了所得 TBR 之间的差异。尽管所得 TBR 存在显着差异,没有人区分患有和不患有 ADHD 的儿童,并且没有出现与 ADHD 症状的一致关联。不同的 EEG 信号处理方法会导致显着不同的 TBR。然而,在我们的样本中,没有一种方法能显着区分 ADHD 和健康对照。TBR 的长期效应量下降很可能是由 EEG 信号处理差异以外的因素解释的,例如参与者睡眠时间较少以及健康对照纳入标准的差异。
更新日期:2020-05-20
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