Electroencephalographic Microstates as Novel Functional Biomarkers for Adult Attention-Deficit/Hyperactivity Disorder
Electroencephalographic Microstates as Novel Functional Biomarkers for Adult Attention-Deficit/Hyperactivity Disorder
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DOI：
10.1016/j.bpsc.2021.11.006
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发表时间：
2022-08-05
影响因子：
5.9
通讯作者：
Ros, Tomas
中科院分区：
文献类型：
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作者：
Ferat, Victor;Arns, Martijn;Ros, Tomas
背景：对注意缺陷多动障碍(ADHD)的脑电特征的研究历来集中在其频谱或事件相关诱发电位。方法：采用k-均值聚类方法，通过两个独立的数据集比较ADHD患者和神经典型对照受试者的MS节段，研究ADHD在静息状态下的时空动态。第一个数据集由66名ADHD患者和66名对照受试者组成，第二个数据集由22名ADHD患者和22名对照受试者组成，用于样本外验证。ADHD患者和对照组显示了相同的MS地形图(规范图)，表明ADHD患者保留了典型的脑电发生器。然而，这种一致性伴随着时间动力学上的显著差异。在组水平上，在两个数据集上，ADHD的诊断与额中央地形图(MS D)的平均持续时间较长相关，这表明其皮层发生器(S)可能是全球皮质动力学的显著吸引子。此外，它的时空指标与睡眠障碍相关，后者被认为与ADHD有很强的关系。最后，在第一个(更大的)数据集中，我们还发现了左-右对角线地形图(MS A)时间覆盖率和平均持续时间减少的证据，这与ADHD评分呈负相关。结论：总体而言，我们的研究强调了EEG MSS作为ADHD有希望的功能生物标志物的价值，提供了一个额外的镜头来检查其神经生理机制。
BACKGROUND: Research on the electroencephalographic (EEG) signatures of attention-deficit/hyperactivity disorder (ADHD) has historically concentrated on its frequency spectrum or event-related evoked potentials. In this work, we investigate EEG microstates (MSs), an alternative framework defined by the clustering of recurring topographical patterns, as a novel approach for examining large-scale cortical dynamics in ADHD.METHODS: Using k-means clustering, we studied the spatiotemporal dynamics of ADHD during the rest condition by comparing the MS segmentations between adult patients with ADHD and neurotypical control subjects across two independent datasets: the first dataset consisted of 66 patients with ADHD and 66 control subjects, and the second dataset comprised 22 patients with ADHD and 22 control subjects and was used for out-of-sample validation.RESULTS: Spatially, patients with ADHD and control subjects displayed equivalent MS topographies (canonical maps), indicating the preservation of prototypical EEG generators in patients with ADHD. However, this concordance was accompanied by significant differences in temporal dynamics. At the group level, and across both datasets, ADHD diagnosis was associated with longer mean durations of a frontocentral topography (MS D), indicating that its electrocortical generator(s) could be acting as pronounced attractors of global cortical dynamics. In addition, its spatiotemporal metrics were correlated with sleep disturbance, the latter being known to have a strong relationship with ADHD. Finally, in the first (larger) dataset, we also found evidence of decreased time coverage and mean duration of a left-right diagonal topography (MS A), which inversely correlated with ADHD scores.CONCLUSIONS: Overall, our study underlines the value of EEG MSs as promising functional biomarkers for ADHD, offering an additional lens through which to examine its neurophysiological mechanisms.