Article (Scientific journals)
Brain Volume Changes after COVID-19 Compared to Healthy Controls by Artificial Intelligence-Based MRI Volumetry.
Bendella, Zeynep; Widmann, Catherine Nichols; Layer, Julian Philipp et al.
2023In Diagnostics, 13 (10), p. 1716
Peer reviewed
 

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Keywords :
COVID-19; SARS-CoV-2; artificial intelligence; brain atrophy; magnetic resonance imaging; Clinical Biochemistry
Abstract :
[en] Cohort studies that quantify volumetric brain data among individuals with different levels of COVID-19 severity are presently limited. It is still uncertain whether there exists a potential correlation between disease severity and the effects of COVID-19 on brain integrity. Our objective was to assess the potential impact of COVID-19 on measured brain volume in patients with asymptomatic/mild and severe disease after recovery from infection, compared with healthy controls, using artificial intelligence (AI)-based MRI volumetry. A total of 155 participants were prospectively enrolled in this IRB-approved analysis of three cohorts with a mild course of COVID-19 (n = 51, MILD), a severe hospitalised course (n = 48, SEV), and healthy controls (n = 56, CTL) all undergoing a standardised MRI protocol of the brain. Automated AI-based determination of various brain volumes in mL and calculation of normalised percentiles of brain volume was performed with mdbrain software, using a 3D T1-weighted magnetisation-prepared rapid gradient echo (MPRAGE) sequence. The automatically measured brain volumes and percentiles were analysed for differences between groups. The estimated influence of COVID-19 and demographic/clinical variables on brain volume was determined using multivariate analysis. There were statistically significant differences in measured brain volumes and percentiles of various brain regions among groups, even after the exclusion of patients undergoing intensive care, with significant volume reductions in COVID-19 patients, which increased with disease severity (SEV > MILD > CTL) and mainly affected the supratentorial grey matter, frontal and parietal lobes, and right thalamus. Severe COVID-19 infection, in addition to established demographic parameters such as age and sex, was a significant predictor of brain volume loss upon multivariate analysis. In conclusion, neocortical brain degeneration was detected in patients who had recovered from SARS-CoV-2 infection compared to healthy controls, worsening with greater initial COVID-19 severity and mainly affecting the fronto-parietal brain and right thalamus, regardless of ICU treatment. This suggests a direct link between COVID-19 infection and subsequent brain atrophy, which may have major implications for clinical management and future cognitive rehabilitation strategies.
Disciplines :
Neurology
Immunology & infectious disease
Author, co-author :
Bendella, Zeynep;  Department of Neuroradiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
Widmann, Catherine Nichols ;  Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany ; German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
Layer, Julian Philipp ;  Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany ; Institute of Experimental Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany
Layer, Yonah Lucas;  Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany
Haase, Robert ;  Department of Neuroradiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ; German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
Sauer, Malte;  Department of Neuroradiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
Bieler, Luzie;  Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany
Lehnen, Nils Christian;  Department of Neuroradiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ; German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
Paech, Daniel ;  Department of Neuroradiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ; German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
HENEKA, Michael  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) ; Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany ; German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
Radbruch, Alexander;  Department of Neuroradiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ; German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
Schmeel, Frederic Carsten ;  Department of Neuroradiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127 Bonn, Germany ; German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
External co-authors :
yes
Language :
English
Title :
Brain Volume Changes after COVID-19 Compared to Healthy Controls by Artificial Intelligence-Based MRI Volumetry.
Publication date :
12 May 2023
Journal title :
Diagnostics
ISSN :
2075-4418
eISSN :
2075-4418
Publisher :
Multidisciplinary Digital Publishing Institute (MDPI), Switzerland
Volume :
13
Issue :
10
Pages :
1716
Peer reviewed :
Peer reviewed
Focus Area :
Systems Biomedicine
Funders :
the German Ministry of Health for the Umbrella Project COVIMMUNE—Untersuchungen zur Funktion des Immunsystems und dem Krankheitsverlauf von COVID-19
Funding text :
This research was funded by the German Ministry of Health for the Umbrella Project COVIMMUNE—Untersuchungen zur Funktion des Immunsystems und dem Krankheitsverlauf von COVID-19. Grant Number 01K/20343.
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