Evidence map›Paper›PMID 40936649›Full record

ReviewBrain communications2025

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

Andy Schumann, Monica Di Giuliano, Steffen Schulz, Feliberto de la Cruz, Teresa Kreuder, Georg Seifert, Karl-Jürgen Bär

Erratum issuedAbstract readReview
In one paragraph

Review in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Andy SchumannLab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Krautgasse 8, 07743 Jena, Germany.ORCID https://orcid.org/0000-0002-5691-4325
Monica Di GiulianoLab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Krautgasse 8, 07743 Jena, Germany.ORCID https://orcid.org/0009-0006-5041-0851
Steffen SchulzCharité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Augustenburger Platz 1, 13353 Berlin, Germany.ORCID https://orcid.org/0000-0002-0847-6623
Feliberto de la CruzLab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Krautgasse 8, 07743 Jena, Germany.ORCID https://orcid.org/0000-0002-6529-2679
Teresa KreuderLab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Krautgasse 8, 07743 Jena, Germany.
Georg SeifertCharité Competence Center for Traditional and Integrative Medicine (CCCTIM), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Augustenburger Platz 1, 13353 Berlin, Germany.ORCID https://orcid.org/0000-0002-7109-9277
Karl-Jürgen BärLab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Krautgasse 8, 07743 Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

arterial spin labelingfatigabilityfunctional magnetic resonancemental disorderspositron emission tomography

Identifiers

PMID40936649
PMCPMC12421237

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.