Evidence map›Paper›PMID 32777701›Full record

ArticleNeuroImage. Clinical2020

Mapping of pathological change in chronic fatigue syndrome using the ratio of T1- and T2-weighted MRI scans.

Kiran Thapaliya, Sonya Marshall-Gradisnik, Don Staines, Leighton Barnden

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Recent research in myalgic encephalomyelitis/chronic fatigue syndrome: an evidence map.Health technology assessment (Winchester, England) · 2025
    Pooled it
  2. Article
  3. Article
  4. Review of Neuroimaging Methods in ME/CFS.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Brain Fog in Hypothyroidism: What Is It, How Is It Measured, and What Can Be Done About It.Thyroid : official journal of the American Thyroid Association · 2022
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Stress, Asthenia, and Cognitive Disorders.Neuroscience and behavioral physiology · 2022
    Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Kiran ThapaliyaNational Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Australia; Centre for Advanced Imaging, The University of Queensland, Australia. Electronic address: k.thapaliya@griffith.edu.au.
Sonya Marshall-GradisnikNational Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Australia.
Don StainesNational Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Australia.
Leighton BarndenNational Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Australia.
Griffith University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myalgic Encephalomyelitis or Chronic Fatigue Syndrome (ME/CFS) subjects suffer from a variety of cognitive complaints indicating that the central nervous system plays a role in its pathophysiology. Recently, the ratio T1w/T2w has been used to study changes in tissue myelin and/or iron levels in neurodegenerative diseases such as multiple sclerosis and schizophrenia. In this study, we applied the T1w/T2w method to detect changes in tissue microstructure in ME/CFS patients relative to healthy controls. We mapped the T1w/T2w signal intensity values in the whole brain for forty-five ME/CFS patients who met Fukuda criteria and twenty-seven healthy controls and applied both region- and voxel-based quantification. We also performed interaction-with-group regressions with clinical measures to test for T1w/T2w relationships that are abnormal in ME/CFS at the population level. Region-based analysis showed significantly elevated T1w/T2w values (increased myelin and/or iron) in ME/CFS in both white matter (WM) and subcortical grey matter. The voxel-based group comparison with sub-millimetre resolution voxels detected very significant clusters with increased T1w/T2w in ME/CFS, mostly in subcortical grey matter, but also in brainstem and projection WM tracts. No areas with decreased T1w/T2w were found in either analysis. ME/CFS T1w/T2w regressions with heart-rate variability, cognitive performance, respiration rate and physical well-being were abnormal in both gray and white matter foci. Our study demonstrates that the T1w/T2w approach is very sensitive and shows increases in myelin and/or iron in WM and basal ganglia in ME/CFS.

Indexed as

Fatigue Syndrome, ChronicMagnetic Resonance ImagingWhite MatterAdultFemaleGray MatterHumansMaleMiddle AgedMyelin SheathBasal gangliaIronMyalgic encephalomyelitis/Chronic fatigue syndromeMyelinT1weightedT1w/T2w ratioT2weightedTissue microstructureWhite matter

Identifiers

PMID32777701
PMCPMC7417892
OpenAlexW3046777323

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.