Persistent fatigue in post-acute COVID syndrome is associated with altered T1 MRI texture in subcortical structures: a preliminary investigation.
MRI
brain anatomy
fatigue
microstructure
post-COVID-19 condition
texture
Journal
Behavioural brain research
ISSN: 1872-7549
Titre abrégé: Behav Brain Res
Pays: Netherlands
ID NLM: 8004872
Informations de publication
Date de publication:
09 May 2024
09 May 2024
Historique:
received:
20
02
2024
revised:
03
05
2024
accepted:
06
05
2024
medline:
12
5
2024
pubmed:
12
5
2024
entrez:
11
5
2024
Statut:
aheadofprint
Résumé
Post-acute COVID syndrome (PACS) is a global health concern and is often associated with debilitating symptoms. Post-COVID fatigue is a particularly frequent and troubling issue, and its underlying mechanisms remain incompletely understood. One potential contributor is micropathological injury of subcortical and brainstem structures, as has been identified in other patient populations. Texture-based analysis (TA) may be used to measure such changes in anatomical MRI data. The present study develops a methodology of voxel-wise TA mapping in subcortical and brainstem regions, which is then applied to T1-weighted MRI data from a cohort of 48 individuals who had PACS (32 with and 16 without ongoing fatigue symptoms) and 15 controls who had cold and flu-like symptoms but tested negative for COVID-19. Both groups were assessed an average of 4-5 months post-infection. There were no significant differences between PACS and control groups, but significant differences were observed between those with and without fatigue symptoms in the PACS group. This included reduced texture energy and increased entropy, along with reduced texture correlation, cluster shade and profile in the putamen, pallidum, thalamus and brainstem. These findings provide new insights into the neurophysiological mechanisms that underlie PACS, with altered tissue texture as a potential biomarker of this debilitating condition.
Identifiants
pubmed: 38734034
pii: S0166-4328(24)00201-8
doi: 10.1016/j.bbr.2024.115045
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
115045Informations de copyright
Copyright © 2024 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Interest The authors report no disclosures relevant to the manuscript.