Sevel, Landrew S, Boissoneault, Jeff, Letzen, Janelle E et al. · Experimental brain research · 2018 · DOI
Researchers compared two methods for identifying ME/CFS patients: looking at structural brain changes on MRI scans versus asking patients to rate their symptoms like fatigue, pain, and sleep quality. While brain imaging showed some useful differences between ME/CFS patients and healthy people, patients' own descriptions of their symptoms were actually better at identifying who had ME/CFS.
This study demonstrates that while ME/CFS patients show measurable structural brain changes detectable by advanced analysis, subjective symptom reporting remains more reliable for classification. This has important implications for diagnostic development and suggests that validated symptom questionnaires may be more practical clinical tools than expensive neuroimaging for identifying ME/CFS.
This study does not prove that brain imaging cannot detect ME/CFS—it shows that symptom self-report was more effective in this particular classification task, but this may reflect limitations in the imaging analysis method rather than the absence of brain changes. The cross-sectional design cannot establish causality or progression of structural changes. The small sample size limits generalizability of these findings.
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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Primary citation
Sevel, Landrew S, Boissoneault, Jeff, Letzen, Janelle E, Robinson, Michael E, & Staud, Roland (2018). Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients.. Experimental brain research. https://doi.org/10.1007/s00221-018-5301-8
BibTeX
@article{mecfsatlas-sevel-2018-structural-brain,
author = {Sevel, Landrew S and Boissoneault, Jeff and Letzen, Janelle E and Robinson, Michael E and Staud, Roland},
title = {Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients.},
journal = {Experimental brain research},
year = {2018},
doi = {10.1007/s00221-018-5301-8},
note = {PubMed: 29846797},
url = {https://www.mecfsatlas.com/evidence/sevel-2018-structural-brain},
}Atlas snapshot reference
ME/CFS Atlas. Generator v1 / Scanner v1.4 / policy v0.1. Accessed 2026-05-28. https://www.mecfsatlas.com/evidence/sevel-2018-structural-brain
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