Mapping the brain's fatigue network: a transdiagnostic systematic review and meta-analysis on functional correlates of mental fatigue

绘制大脑疲劳网络图谱:一项关于精神疲劳功能相关性的跨诊断系统评价和荟萃分析

阅读:1

Abstract

Mental fatigue is a significant psychopathological symptom that has recently gained attention, particularly in chronic fatigue syndrome/myalgic encephalomyelitis and Post-COVID-19 condition. However, fatigue is a clinically relevant symptom across a wide range of mental and neurological disorders. To identify a transdiagnostic functional network associated with fatigue, we conducted an activation likelihood estimation meta-analysis of neuroimaging studies. The primary inclusion criterion was studies involving any medical condition where patients exhibited significantly higher levels of fatigue compared to healthy controls. A systematic literature review across three major scientific databases identified 46 eligible neuroimaging studies, including a total of 2603 individuals. The meta-analysis of these studies revealed a widespread cortical-subcortical network involving frontal, limbic, basal ganglia and parietal structures. Three main clusters were highlighted: a frontal-striatal-limbic cluster, a frontal-cingulate cluster and a parietal cluster, with regions implicated in cognitive, emotional and somatosensory symptoms associated with mental fatigue. Quality analysis indicated a moderate risk of bias in the majority of the included studies. Overall, our findings provide scientific evidence for a transdiagnostic mental fatigue network in the brain, with key nodes located in the lateral frontal cortex, cingulate cortex, insula, thalamus, precuneus and caudate. These results support the theory of thalamic-striatal-cortical dysfunction, which may impair compensatory mechanisms related to mental fatigue. Additionally, abnormal activation of limbic and parietal regions may contribute to cognitive, emotional and attentional impairments linked to fatigue.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。