EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis.

IF 2.3 3区 医学 Q3 CLINICAL NEUROLOGY Brain Topography Pub Date : 2024-05-01 Epub Date: 2023-08-24 DOI:10.1007/s10548-023-00999-0
Alina Chivu, Simona A Pascal, Alena Damborská, Miralena I Tomescu
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Abstract

To reduce the psycho-social burden increasing attention has focused on brain abnormalities in the most prevalent and highly co-occurring neuropsychiatric disorders, such as mood and anxiety. However, high inter-study variability in these patients results in inconsistent and contradictory alterations in the fast temporal dynamics of large-scale networks as measured by EEG microstates. Thus, in this meta-analysis, we aim to investigate the consistency of these changes to better understand possible common neuro-dynamical mechanisms of these disorders.In the systematic search, twelve studies investigating EEG microstate changes in participants with mood and anxiety disorders and individuals with subclinical depression were included in this meta-analysis, adding up to 787 participants.The results suggest that EEG microstates consistently discriminate mood and anxiety impairments from the general population in patients and subclinical states. Specifically, we found a small significant effect size for B microstates in patients compared to healthy controls, with larger effect sizes for increased B presence in unmedicated patients with comorbidity. In a subgroup meta-analysis of ten mood disorder studies, microstate D showed a significant effect size for decreased presence. When investigating only the two anxiety disorder studies, we found a significantly small effect size for the increased microstate A and a medium effect size for decreased microstate E (one study). However, more studies are needed to elucidate whether these findings are diagnostic-specific markers.Results are discussed in relation to the functional meaning of microstates and possible contribution to an explanatory mechanism of overlapping symptomatology of mood and anxiety disorders.

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情绪和焦虑症的脑电图微观状态:元分析
为了减轻患者的社会心理负担,越来越多的注意力集中在最常见和最容易并发的神经精神疾病(如情绪和焦虑)的大脑异常上。然而,这些患者的研究间差异很大,导致脑电图微观状态测量的大规模网络的快速时间动态变化不一致且相互矛盾。结果表明,在患者和亚临床状态下,脑电图微状态能将情绪和焦虑障碍与普通人群区分开来。具体而言,我们发现与健康对照组相比,患者的 B 微状态具有较小的显著效应,而在未用药的合并症患者中,B 的增加具有更大的效应。在对十项情绪障碍研究进行的分组荟萃分析中,微态 D 显示出显著的效应大小,即存在减少。在仅对两项焦虑症研究进行调查时,我们发现微态 A 增加的效应大小明显较小,微态 E 减少的效应大小中等(一项研究)。这些结果与微状态的功能意义以及对情绪病和焦虑症重叠症状的解释机制的可能贡献有关。
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来源期刊
Brain Topography
Brain Topography 医学-临床神经学
CiteScore
4.70
自引率
7.40%
发文量
41
审稿时长
3 months
期刊介绍: Brain Topography publishes clinical and basic research on cognitive neuroscience and functional neurophysiology using the full range of imaging techniques including EEG, MEG, fMRI, TMS, diffusion imaging, spectroscopy, intracranial recordings, lesion studies, and related methods. Submissions combining multiple techniques are particularly encouraged, as well as reports of new and innovative methodologies.
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