Back

Brain cortical changes are related to inflammatory biomarkers in hospitalized SARS-CoV-2 patients with neurological symptoms

Sanabria Diaz, G.; Maja Etter, M.; Melie Garcia, L.; Lieb, J. M.; Psychogios, M.-N.; Hutter, G.; Granziera, C.

2022-02-15 radiology and imaging
10.1101/2022.02.13.22270662 medRxiv
Show abstract

Increasing evidence shows that the brain is a target of SARS-CoV-2. However, the consequences of the virus on the cortical regions of hospitalized patients are currently unknown. The purpose of this study was to assess brain cortical gray matter volume (GMV), thickness (Th), and surface area (SA) characteristics in SARS-CoV-2 hospitalized patients with a wide range of neurological symptoms and their association with clinical indicators of inflammatory processes. A total of 33 patients were selected from a prospective, multicenter, cross-sectional study during the ongoing pandemic (August 2020-April 2021) at Basel University Hospital. Retrospectively biobank healthy controls with the same image protocol served as controls group. For each anatomical T1w MPRAGE image, the Th and GMV segmentation were performed with the FreeSurfer-5.0. Cortical measures were compared between groups using a linear regression model. The covariates were age, gender, age*gender, MRI magnetic field strength, and total intracranial volume/mean Th/Total SA. The association between cortical features and laboratory variables was assessed using partial correlation adjusting for the same covariates. P-values were adjusted using false discovery rate (FDR). Our findings revealed a lower cortical gray matter volume in orbitofrontal and cingulate regions in patients compared to controls. The orbitofrontal grey matter volume was negatively associated with protein levels, CSF-blood/albumin ratio and CSF EN-RAGE level. CSF EN-RAGE and CSF/Blood-albumin ratio, which are neuroinflammatory biomarkers, were associated with cortical alterations in gray matter volume and thickness in frontal, orbitofrontal, and temporal regions. Our data suggest that viral-triggered inflammation leads to increased neurotoxic damage in some cortical areas.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 2%
14.7%
2
PLOS ONE
4510 papers in training set
Top 26%
6.5%
3
Journal of Neuroscience Research
25 papers in training set
Top 0.1%
6.5%
4
Journal of Magnetic Resonance Imaging
14 papers in training set
Top 0.2%
4.1%
5
Human Brain Mapping
295 papers in training set
Top 1%
4.1%
6
Multiple Sclerosis Journal
18 papers in training set
Top 0.1%
4.1%
7
Brain Research
35 papers in training set
Top 0.2%
3.7%
8
NeuroImage: Clinical
132 papers in training set
Top 1%
3.7%
9
Frontiers in Neurology
91 papers in training set
Top 2%
2.8%
50% of probability mass above
10
Brain and Behavior
37 papers in training set
Top 0.3%
2.1%
11
Brain, Behavior, and Immunity
105 papers in training set
Top 1.0%
2.1%
12
iScience
1063 papers in training set
Top 13%
1.8%
13
Heliyon
146 papers in training set
Top 2%
1.7%
14
Frontiers in Neuroscience
223 papers in training set
Top 5%
1.4%
15
Brain Communications
147 papers in training set
Top 2%
1.4%
16
Frontiers in Medicine
113 papers in training set
Top 5%
1.3%
17
eBioMedicine
130 papers in training set
Top 2%
1.3%
18
Viruses
318 papers in training set
Top 4%
1.3%
19
ACS Chemical Neuroscience
60 papers in training set
Top 2%
1.1%
20
Brain Structure and Function
83 papers in training set
Top 0.3%
1.0%
21
European Journal of Neurology
20 papers in training set
Top 0.5%
0.9%
22
Psychiatry Research: Neuroimaging
16 papers in training set
Top 0.2%
0.9%
23
NeuroImage
813 papers in training set
Top 5%
0.9%
24
Data in Brief
13 papers in training set
Top 0.3%
0.9%
25
Journal of Neurology
26 papers in training set
Top 1%
0.8%
26
Diagnostics
48 papers in training set
Top 2%
0.8%
27
Biological Psychiatry Global Open Science
54 papers in training set
Top 1%
0.8%
28
Molecular Psychiatry
242 papers in training set
Top 3%
0.8%
29
Neuroinformatics
40 papers in training set
Top 0.9%
0.8%
30
Neuroimage: Reports
22 papers in training set
Top 0.1%
0.8%