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
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

115045

Informations 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.

Auteurs

Nathan W Churchill (NW)

Brain Health and Wellness Research Program, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada; Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Unity Health Toronto; Physics Department, Toronto Metropolitan University. Electronic address: nchurchill.research@gmail.com.

Eugenie Roudaia (E)

Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada.

J Jean Chen (JJ)

Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.

Allison Sekuler (A)

Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada; Department of Psychology, University of Toronto, Toronto, Ontario, Canada; Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada.

Fuqiang Gao (F)

Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.

Mario Masellis (M)

Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.

Benjamin Lam (B)

Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.

Ivy Cheng (I)

Evaluative Clinical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada; Integrated Community Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Toronto, Ontario, Canada.

Chris Heyn (C)

Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.

Sandra E Black (SE)

Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.

Bradley J MacIntosh (BJ)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada; Computational Radiology & Artificial Intelligence Unit, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.

Simon J Graham (SJ)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada.

Tom A Schweizer (TA)

Brain Health and Wellness Research Program, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada; Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Unity Health Toronto; Faculty of Medicine (Neurosurgery), University of Toronto.

Classifications MeSH