ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2026
Towards a domain-general mechanistic model of fatigue: application to Functional Neurological Disorder.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Towards a domain-general mechanistic model of fatigue: application to Functional Neurological Disorder.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fatigue is a central symptom in individuals with functional neurological disorder (FND), yet few studies have investigated fatigue in this population. While this may be surprising, given the importance of fatigue in FND, it is nevertheless understandable, given that fatigue has historically been difficult to study. However, the tools of cognitive neuroscience have allowed researchers to begin to understand fatigue as never before. Here, I review recent advances in the field of fatigue research, ranging from experimental design to objective and subjective measures of fatigue to a network of brain areas that has shown sensitivity to fatigue. Taken together, these metrics support the idea that fatigue is a signal the brain generates when the reward received no longer merits the effort required. I conclude by arguing that the application of this domain-general mechanistic model of fatigue, using objective and subjective dependent measures, is likely to provide important insights into the fatigue that is so pervasive in FND. This article is part of the discussion meeting issue 'Digital healthcare for the management of functional neurological disorders'.
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