Multimodal MRI of myalgic encephalomyelitis/chronic fatigue syndrome: A cross-sectional neuroimaging study toward its neuropathophysiology and diagnosis.

ME/CFS MRI neuromarker neurovascular coupling translational neuroimaging

Journal

Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899

Informations de publication

Date de publication:
2022
Historique:
received: 27 05 2022
accepted: 30 08 2022
entrez: 3 10 2022
pubmed: 4 10 2022
medline: 4 10 2022
Statut: epublish

Résumé

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), is a debilitating illness affecting up to 24 million people worldwide but concerningly there is no known mechanism for ME/CFS and no objective test for diagnosis. A series of our neuroimaging findings in ME/CFS, including functional MRI (fMRI) signal characteristics and structural changes in brain regions particularly sensitive to hypoxia, has informed the hypothesis that abnormal neurovascular coupling (NVC) may be the neurobiological origin of ME/CFS. NVC is a critical process for normal brain function, in which glutamate from an active neuron stimulates Ca This cross-sectional study will recruit 288 participants (91 ME/CFS, 61 individuals with chronic fatigue, 91 healthy controls with sedentary lifestyles, 45 fibromyalgia). The ME/CFS will be diagnosed by consensus diagnosis made by two clinicians using the Canadian Consensus Criteria 2003. Symptoms, vital signs, and activity measures will be collected alongside multimodal MRI.The HRF, RRF, and glutamate changes will be compared among four groups using one-way analysis of covariance (ANCOVA). Equivalent non-parametric methods will be used for measures that do not exhibit a normal distribution. The activity measure, body mass index, sex, age, depression, and anxiety will be included as covariates for all statistical analyses with the false discovery rate used to correct for multiple comparisons.The data will be randomly divided into a training ( This study was reviewed and approved by University of the Sunshine Coast University Ethics committee (A191288) and has been registered with The Australian New Zealand Clinical Trials Registry (ACTRN12622001095752). The results will be disseminated through peer reviewed scientific manuscripts and conferences and to patients through social media and active engagement with ME/CFS associations.

Identifiants

pubmed: 36188362
doi: 10.3389/fneur.2022.954142
pmc: PMC9523103
doi:

Types de publication

Journal Article

Langues

eng

Pagination

954142

Informations de copyright

Copyright © 2022 Shan, Mohamed, Andersen, Rendall, Kwiatek, Fante, Calhoun, Bhuta and Lagopoulos.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Zack Y Shan (ZY)

Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia.

Abdalla Z Mohamed (AZ)

Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia.

Thu Andersen (T)

Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia.

Shae Rendall (S)

Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia.

Richard A Kwiatek (RA)

Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia.

Peter Del Fante (PD)

Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia.

Vince D Calhoun (VD)

Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States.

Sandeep Bhuta (S)

Medical Imaging Department, Gold Coast University Hospital, Parklands, QLD, Australia.

Jim Lagopoulos (J)

Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia.

Classifications MeSH