Higher Limbic and Basal Ganglia volumes in surviving COVID-negative patients and the relations to fatigue.
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
01 Mar 2022
01 Mar 2022
Historique:
pubmed:
1
12
2021
medline:
1
12
2021
entrez:
30
11
2021
Statut:
epublish
Résumé
Among systemic abnormalities caused by the novel coronavirus, little is known about the critical attack on the central nervous system (CNS). Few studies have shown cerebrovascular pathologies that indicate CNS involvement in acute patients. However, replication studies are necessary to verify if these effects persist in COVID-19 survivors more conclusively. Furthermore, recent studies indicate fatigue is highly prevalent among 'long-COVID' patients. How morphometry in each group relate to work-related fatigue need to be investigated. COVID survivors were MRI scanned two weeks after hospital discharge. We hypothesized, these survivors will demonstrate altered gray matter volume (GMV) and experience higher fatigue levels when compared to healthy controls, leading to stronger correlation of GMV with fatigue. Voxel-based morphometry was performed on T1-weighted MRI images between 46 survivors and 30 controls. Unpaired two-sample t-test and multiple linear regression were performed to observe group differences and correlation of fatigue with GMV. The COVID group experienced significantly higher fatigue levels and GMV of this group was significantly higher within the Brain regions with GMV alterations in our analysis align with both single case acute patient reports and current group level neuroimaging findings. We also newly report a stronger positive correlation of GMV with fatigue among COVID survivors within brain regions associated with fatigue, indicating a link between structural abnormality and brain function in this cohort.
Sections du résumé
Background
UNASSIGNED
Among systemic abnormalities caused by the novel coronavirus, little is known about the critical attack on the central nervous system (CNS). Few studies have shown cerebrovascular pathologies that indicate CNS involvement in acute patients. However, replication studies are necessary to verify if these effects persist in COVID-19 survivors more conclusively. Furthermore, recent studies indicate fatigue is highly prevalent among 'long-COVID' patients. How morphometry in each group relate to work-related fatigue need to be investigated.
Method
UNASSIGNED
COVID survivors were MRI scanned two weeks after hospital discharge. We hypothesized, these survivors will demonstrate altered gray matter volume (GMV) and experience higher fatigue levels when compared to healthy controls, leading to stronger correlation of GMV with fatigue. Voxel-based morphometry was performed on T1-weighted MRI images between 46 survivors and 30 controls. Unpaired two-sample t-test and multiple linear regression were performed to observe group differences and correlation of fatigue with GMV.
Results
UNASSIGNED
The COVID group experienced significantly higher fatigue levels and GMV of this group was significantly higher within the
Conclusion
UNASSIGNED
Brain regions with GMV alterations in our analysis align with both single case acute patient reports and current group level neuroimaging findings. We also newly report a stronger positive correlation of GMV with fatigue among COVID survivors within brain regions associated with fatigue, indicating a link between structural abnormality and brain function in this cohort.
Identifiants
pubmed: 34845462
doi: 10.1101/2021.11.23.21266761
pmc: PMC8629206
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NCCIH NIH HHS
ID : R01 AT009829
Pays : United States
Commentaires et corrections
Type : UpdateIn
Références
Wellcome Open Res. 2019 Apr 1;4:63
pubmed: 31069261
Neuroimage. 2012 Feb 15;59(4):3222-6
pubmed: 22079507
Mult Scler. 2010 Oct;16(10):1220-8
pubmed: 20670981
Radiology. 2020 Oct;297(1):E232-E235
pubmed: 32384020
Neurology. 2020 Sep 29;95(13):e1868-e1882
pubmed: 32680942
Radiology. 2020 Oct;297(1):E223-E227
pubmed: 32437314
J Neurol Sci. 2000 Oct 1;179(S 1-2):34-42
pubmed: 11054483
Front Neurosci. 2016 Jan 25;10:6
pubmed: 26834533
AJNR Am J Neuroradiol. 2020 Aug;41(8):1380-1383
pubmed: 32527843
Cereb Cortex. 2015 Jun;25(6):1527-34
pubmed: 24343891
Cortex. 2020 May;126:16-25
pubmed: 32062140
Mol Psychiatry. 2021 Dec;26(12):7475-7480
pubmed: 34285348
Brain Connect. 2016 Feb;6(1):48-56
pubmed: 26449441
Arch Neurol. 2010 Apr;67(4):447-53
pubmed: 20385911
Neuroimage. 2009 Apr 1;45(2):333-41
pubmed: 19146961
Neuroimage. 2009 Jan 15;44(2):319-27
pubmed: 18929669
Hum Brain Mapp. 2017 Jan;38(1):283-292
pubmed: 27571419
Neuroimage. 2000 Jun;11(6 Pt 1):805-21
pubmed: 10860804
AJNR Am J Neuroradiol. 2020 Dec;41(12):2199-2203
pubmed: 32883670
Brain. 2020 Oct 1;143(10):3104-3120
pubmed: 32637987
EClinicalMedicine. 2020 Aug;25:100484
pubmed: 32838240
Clin Physiol Funct Imaging. 2018 Jan;38(1):128-137
pubmed: 27678090
Arthritis Res Ther. 2015 Oct 19;17:268
pubmed: 26477946
Neuroimage Clin. 2019;21:101641
pubmed: 30558870
Neuroimage. 2007 Oct 15;38(1):95-113
pubmed: 17761438
Brain. 2002 Jun;125(Pt 6):1326-36
pubmed: 12023321
J Clin Invest. 2021 Apr 15;131(8):
pubmed: 33630760
PLoS One. 2017 Aug 18;12(8):e0182182
pubmed: 28820894
Neuroreport. 2002 Dec 3;13(17):2371-4
pubmed: 12488829
Mult Scler. 2018 Aug;24(9):1174-1182
pubmed: 28627957
Front Neurol. 2015 Mar 12;6:52
pubmed: 25814977
Sci Rep. 2017 Aug 21;7(1):8973
pubmed: 28827779
JAMA Netw Open. 2021 Feb 1;4(2):e210830
pubmed: 33606031
Stroke. 2020 Dec;51(12):3719-3722
pubmed: 33054673
Neurobiol Stress. 2021 May;14:100326
pubmed: 33869679