Microstructural alterations in brain tissue of ME/CFS and long COVID using diffusion tensor imaging and diffusion kurtosis imaging - Summary - MDSpire

Investigating Microstructural Changes in Brain Tissue of ME/CFS and Long COVID through Diffusion Tensor and Kurtosis Imaging Techniques

  • By

  • Tanoj Bahadur Singh

  • Sonya Marshall-Gradisnik

  • Leighton Barnden

  • Natalie Eaton-Fitch

  • Tuong Hieu Huynh

  • Maira Inderyas

  • Kiran Thapaliya

  • July 17, 2026

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Objective:

To compare tissue microstructural differences between individuals with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and long COVID using Diffusion Tensor Imaging (DTI) and Diffusion Kurtosis Imaging (DKI).

Approach:
  • Participants: 37 ME/CFS participants, 19 long COVID participants, and 27 healthy controls were recruited.
  • Data Acquisition: Data were acquired using a 3 Tesla (3T) Prisma MRI scanner.
  • Analysis Methods: DTI and DKI metrics were analyzed using MRtrix and Designer software, with voxel-based statistical analysis performed using SPM12 in MATLAB.
  • Correlation Analysis: Correlation analysis was conducted between DTI, DKI metrics and clinical measures such as duration of illness and fatigue severity.
Key Findings:
  • Individuals with ME/CFS showed microstructural alterations in the cingulum, supplementary motor areas, and parts of the corpus callosum (all p < 0.05).
  • Long COVID participants demonstrated microstructural alterations in regions including the fusiform and precentral gyrus and in major white matter tracks (all p < 0.05).
  • Direct comparisons revealed significant differences in the left corona radiata between ME/CFS and long COVID (p = 0.001).
Interpretation:

Limitations:
  • The study's sample size may limit the generalizability of the findings.
  • The cross-sectional design does not allow for causal inferences.
Conclusion:

This study identifies distinct tissue microstructural alterations in ME/CFS and long COVID.

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