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

IF 4.5 Q1 CLINICAL NEUROLOGY
Brain communications Pub Date : 2025-08-28 eCollection Date: 2025-01-01 DOI:10.1093/braincomms/fcaf315
Andy Schumann, Monica Di Giuliano, Steffen Schulz, Feliberto de la Cruz, Teresa Kreuder, Georg Seifert, Karl-Jürgen Bär
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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.

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绘制大脑的疲劳网络:对精神疲劳功能相关的跨诊断系统回顾和荟萃分析。
精神疲劳是近年来引起人们关注的一种重要精神病理症状,特别是在慢性疲劳综合征/肌痛性脑脊髓炎和covid -19后症状中。然而,疲劳是一种临床相关症状在广泛的精神和神经疾病。为了确定与疲劳相关的跨诊断功能网络,我们对神经影像学研究进行了激活可能性估计荟萃分析。主要纳入标准是涉及任何医疗状况的研究,其中患者表现出明显高于健康对照组的疲劳水平。通过对三个主要科学数据库的系统文献综述,确定了46项符合条件的神经影像学研究,包括2603名个体。这些研究的荟萃分析揭示了一个广泛的皮层-皮层下网络,涉及额叶、边缘、基底神经节和顶叶结构。三个主要的集群被强调:额纹状体边缘集群,额扣带集群和顶叶集群,涉及与精神疲劳相关的认知、情绪和体感症状的区域。质量分析表明大多数纳入的研究存在中等偏倚风险。总的来说,我们的研究结果为大脑中的跨诊断精神疲劳网络提供了科学证据,该网络的关键节点位于外侧额叶皮层、扣带皮层、脑岛、丘脑、楔前叶和尾状核。这些结果支持丘脑-纹状体-皮质功能障碍理论,它可能损害与精神疲劳相关的代偿机制。此外,边缘和顶叶区域的异常激活可能导致与疲劳相关的认知、情感和注意力障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
7.00
自引率
0.00%
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审稿时长
6 weeks
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