Next Article in Journal
Adnexal Masses in Pregnancy: A Single-Centre Prospective Observational Cohort Study
Previous Article in Journal
Deep Learning for Parkinson’s Disease Diagnosis: A Graph Neural Network (GNN) Based Classification Approach with Graph Wavelet Transform (GWT) Using Protein–Peptide Datasets
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Brief Report

Neuroimaging Correlates of Post-COVID-19 Symptoms: A Functional MRI Approach

by
Marine M. Tanashyan
1,
Polina I. Kuznetsova
1,*,
Sofya N. Morozova
2,
Vladislav A. Annushkin
1 and
Anton A. Raskurazhev
1
1
1st Neurological Department, Research Center of Neurology, 125367 Moscow, Russia
2
Radiology Department, Research Center of Neurology, 125367 Moscow, Russia
*
Author to whom correspondence should be addressed.
Diagnostics 2024, 14(19), 2180; https://doi.org/10.3390/diagnostics14192180 (registering DOI)
Submission received: 12 September 2024 / Revised: 24 September 2024 / Accepted: 28 September 2024 / Published: 29 September 2024
(This article belongs to the Special Issue Application of Magnetic Resonance Imaging in Neurology)

Abstract

Backgrounds and Purpose: Post-COVID syndrome is characterized by persistent symptoms, including fatigue and cognitive impairment. These symptoms may be experienced by up to 80% of patients. We aimed to identify possible patterns of brain activation underlying post-COVID fatigue. Methods: The study used functional MRI (Siemens MAGNETOM Prisma 3T scanner with a specially created protocol) of the brain in 30 patients with post-COVID fatigue syndrome and 20 healthy volunteers. Task functional MRI (fMRI) was performed using a cognitive paradigm (modified Stroop test). Eligible patients included adults aged 18–50 years with a >12 weeks before enrolment (less than 12 months) prior history of documented COVID-19 with symptoms of fatigue not attributable to any other cause, and with MFI-20 score > 30 and MoCA at first visit. Healthy control participants had no prior history of COVID-19 and negative tests for severe acute coronavirus respiratory syndrome with MFI-20 score < 30 and MoCA at first visit. Task fMRI data were processed using the SPM12 software package based on MATLAB R2022a. Results: Cognitive task fMRI analysis showed significantly higher activation in the post-COVID group versus healthy volunteers’ group. Between-group analysis showed significant activation differences. Using a threshold of T > 3 we identified eight clusters of statistically significant activation: supramarginal gyri, posterior cingulate cortex, opercular parts of precentral gyri and cerebellum posterior lobe bilaterally. Conclusions: Post-COVID fatigue syndrome associated with subjective cognitive impairment could show changes in brain functional activity in the areas connected with information processing speed and quality.
Keywords: fMRI; COVID-19; post-COVID fatigue; cognitive impairment fMRI; COVID-19; post-COVID fatigue; cognitive impairment

Share and Cite

MDPI and ACS Style

Tanashyan, M.M.; Kuznetsova, P.I.; Morozova, S.N.; Annushkin, V.A.; Raskurazhev, A.A. Neuroimaging Correlates of Post-COVID-19 Symptoms: A Functional MRI Approach. Diagnostics 2024, 14, 2180. https://doi.org/10.3390/diagnostics14192180

AMA Style

Tanashyan MM, Kuznetsova PI, Morozova SN, Annushkin VA, Raskurazhev AA. Neuroimaging Correlates of Post-COVID-19 Symptoms: A Functional MRI Approach. Diagnostics. 2024; 14(19):2180. https://doi.org/10.3390/diagnostics14192180

Chicago/Turabian Style

Tanashyan, Marine M., Polina I. Kuznetsova, Sofya N. Morozova, Vladislav A. Annushkin, and Anton A. Raskurazhev. 2024. "Neuroimaging Correlates of Post-COVID-19 Symptoms: A Functional MRI Approach" Diagnostics 14, no. 19: 2180. https://doi.org/10.3390/diagnostics14192180

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop