PDF(Pubmed)
Abstract：
Fatigue is a highly prevalent and disabling symptom of many disorders and syndromes, resulting from different pathomechanisms. However, whether and how different mechanisms converge and result in similar symptomatology is only partially understood, and transdiagnostic biomarkers that could further the diagnosis and treatment of fatigue are lacking. We, therefore, performed a transdiagnostic systematic review (PROSPERO: CRD42022330113) of quantitative resting-state electroencephalography (EEG) and magnetoencephalography (MEG) studies in adult patients suffering from pathological fatigue in different disorders. Studies investigating fatigue in healthy participants were excluded. The risk of bias was assessed using a modified Newcastle-Ottawa Scale. Semi-quantitative data synthesis was conducted using modified albatross plots. After searching MEDLINE, Web of Science Core Collection, and EMBASE, 26 studies were included. Cross-sectional studies revealed increased brain activity at theta frequencies and decreased activity at alpha frequencies as potential diagnostic biomarkers. However, the risk of bias was high in many studies and domains. Together, this transdiagnostic systematic review synthesizes evidence on how resting-state M/EEG might serve as a diagnostic biomarker of pathological fatigue. Beyond, this review might help to guide future M/EEG studies on the development of fatigue biomarkers.
摘要：
疲劳是许多疾病和综合症的一种非常普遍和致残的症状，由于不同的病理机制。然而,不同的机制是否以及如何融合并导致相似的症状学只有部分理解，缺乏能够进一步诊断和治疗疲劳的诊断标志物。我们,因此,对患有不同疾病的病理性疲劳的成年患者进行了定量静息态脑电图（EEG）和脑磁图（MEG）研究的跨诊断性系统评价（PROSPERO：CRD42022330113）。排除了调查健康参与者疲劳的研究。使用改良的纽卡斯尔-渥太华量表评估偏倚风险。使用修改的信天翁图进行半定量数据合成。搜索MEDLINE后,WebofScience核心合集,和EMBASE,共纳入26项研究。横断面研究显示，作为潜在的诊断生物标志物，θ频率下的大脑活动增加，α频率下的大脑活动减少。然而,在许多研究和领域,偏倚风险较高.一起,这项跨诊断性系统综述综合了静息态M/EEG如何作为病理性疲劳的诊断生物标志物的证据.超越,这篇综述可能有助于指导未来M/EEG研究疲劳生物标志物的发展。
