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3D Virtual Reality Performance Metrics as a Future Fatigue Biomarker in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). — ME/CFS Atlas

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E2 ModerateCohortPEM unclearCross-SectionalPeer-reviewed

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3D Virtual Reality Performance Metrics as a Future Fatigue Biomarker in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).

Ladek, Anja-Maria, Priebe, Leonie, Harrer, Thomas et al. · Biomedicines · 2026 · DOI

Quick Summary

Researchers tested how quickly 60 ME/CFS patients and 60 healthy controls could react to visual tasks presented in 3D virtual reality. ME/CFS patients showed slower reaction times across all difficulty levels, and they improved less with practice than controls did. The study reports an association between ME/CFS and prolonged reaction times, though the findings are preliminary and whether this could become a reliable test for fatigue severity requires further validation.

Why It Matters

Objective, quantifiable markers of cognitive impairment in ME/CFS remain limited; this study reports an association between slowed reaction time in virtual reality tasks and ME/CFS diagnosis, which may eventually support development of performance-based outcome measures. If validated in longitudinal studies, such metrics could complement symptom self-reporting and help standardise cognitive assessment across treatment trials.

Observed Findings

ME/CFS patients showed significantly prolonged mean reaction times compared to controls at disparity 275″ (1969 ms vs 1384 ms, p = 0.0001), 550″ (1409 ms vs 1071 ms, p = 0.0012), and 1100″ (1126 ms vs 891 ms, p = 0.00223).
Both groups demonstrated improvements in reaction time across repetitions; ME/CFS patients showed significantly lower improvement by repetition 3 (p = 0.0042).
Age was a significant covariate (p < 0.001), while gender showed no effect.
Reaction time metrics were not correlated with self-reported fatigue scores (FACIT, Chalder, Bell, HAQ).

Inferred Conclusions

The authors interpret prolonged RTs and reduced practice-related learning in ME/CFS patients as reflecting the impact of fatigue on sustained cognitive performance.
The authors propose that 3D virtual reality oculomotor testing may represent a candidate objective metric for future fatigue assessment, though they acknowledge lack of correlation with subjective fatigue scales.

Remaining Questions

Why do reaction time metrics not correlate with validated fatigue questionnaires, and what physiological processes do the observed reaction time delays actually reflect?
Could the cross-session improvement deficit be specific to ME/CFS, or does it occur in other fatiguing conditions?
Does reaction time performance change over the course of a day or in relation to post-exertional malaise symptoms?

What This Study Does Not Prove

This cross-sectional comparison does not establish that prolonged reaction time causes or is caused by ME/CFS pathology. The study does not demonstrate that RT metrics can reliably diagnose ME/CFS, predict symptom severity, or track treatment response. The lack of correlation between RT and self-reported fatigue questionnaires raises uncertainty about what the observed reaction time differences actually reflect.

Topics

Biomarkers Diagnostics Cognitive Impairment

Metadata

DOI: 10.3390/biomedicines14040855
PMID: 42072397
Evidence level: Single-study or moderate support from human research
Last updated: 5 May 2026

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About the PEM badge: “PEM required” means post-exertional malaise was an explicit required diagnostic criterion for participant inclusion in this study — not that PEM was studied, observed, or discussed. Studies using criteria that do not require PEM (e.g. Fukuda, Oxford) are tagged “PEM not required”. How the atlas works →

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The first block is for the primary paper and is the citation you should use in research work. The atlas-snapshot line only applies if you are specifically referring to this atlas’s reading of the paper on the date shown.

Primary citation

Ladek, Anja-Maria, Priebe, Leonie, Harrer, Thomas, Harrer, Ellen, Michelson, Georg, Knauer, Thomas S, et al. (2026). 3D Virtual Reality Performance Metrics as a Future Fatigue Biomarker in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).. Biomedicines. https://doi.org/10.3390/biomedicines14040855

BibTeX

@article{mecfsatlas-ladek-2026-virtual-reality,
  author  = {Ladek, Anja-Maria and Priebe, Leonie and Harrer, Thomas and Harrer, Ellen and Michelson, Georg and Knauer, Thomas S and Dias-Nunes, Diogo X and Mardin, Christian Y and Bergua, Antonio and Hohberger, Bettina},
  title   = {3D Virtual Reality Performance Metrics as a Future Fatigue Biomarker in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).},
  journal = {Biomedicines},
  year    = {2026},
  doi     = {10.3390/biomedicines14040855},
  note    = {PubMed: 42072397},
  url     = {https://www.mecfsatlas.com/evidence/ladek-2026-virtual-reality},
}

Atlas snapshot reference

ME/CFS Atlas. Generator v1 / Scanner v1.4 / policy v0.1. Accessed 2026-05-05. https://www.mecfsatlas.com/evidence/ladek-2026-virtual-reality

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