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不同的频谱分析方法计算出的θ/β 比值不同,但无法区分 ADHD 患者和对照组。

Different Spectral Analysis Methods for the Theta/Beta Ratio Calculate Different Ratios But Do Not Distinguish ADHD from Controls.

机构信息

Research Institute Brainclinics, Brainclinics Foundation, Bijleveldsingel 32, 6524 AD, Nijmegen, The Netherlands.

Department of Psychology, University of North Carolina, Asheville, USA.

出版信息

Appl Psychophysiol Biofeedback. 2020 Sep;45(3):165-173. doi: 10.1007/s10484-020-09471-2.

Abstract

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.

摘要

关于 theta 与 beta 功率比(Theta/Beta Ratio,TBR)作为 ADHD 诊断的基于 EEG 的测试,一直都有研究。早期的研究报告称,ADHD 患者和对照组之间的 TBR 存在显著差异。然而,最近的一项荟萃分析显示,过去十年发表的研究中,ADHD 患者和对照组之间 TBR 差异的效应大小明显下降。在这里,我们测试 EEG 处理的差异是否解释了研究结果的异质性。我们分析了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,在 iSPOT-A 数据集评估了不同算法得到的 TBR 在临床应用中的差异。尽管在得到的 TBR 之间存在显著差异,但没有一种方法能够区分 ADHD 儿童和非 ADHD 儿童,也没有出现与 ADHD 症状一致的关联。不同的 EEG 信号处理方法导致 TBR 有显著差异。然而,在我们的样本中,这些方法均未能显著区分 ADHD 患者和健康对照组。TBR 的这种随时间推移的效应大小下降,很可能是由 EEG 信号处理差异以外的因素造成的,例如参与者睡眠时间减少和健康对照组纳入标准的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c341/7391403/45784d4febe3/10484_2020_9471_Fig1_HTML.jpg

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