SARS-CoV2 evokes structural brain changes resulting in declined executive function.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 30 12 2022
accepted: 30 01 2024
medline: 12 3 2024
pubmed: 12 3 2024
entrez: 12 3 2024
Statut: epublish

Résumé

Several research has underlined the multi-system character of COVID-19. Though effects on the Central Nervous System are mainly discussed as disease-specific affections due to the virus' neurotropism, no comprehensive disease model of COVID-19 exists on a neurofunctional base by now. We aimed to investigate neuroplastic grey- and white matter changes related to COVID-19 and to link these changes to neurocognitive testings leading towards a multi-dimensional disease model. Groups of acutely ill COVID-19 patients (n = 16), recovered COVID-19 patients (n = 21) and healthy controls (n = 13) were prospectively included into this study. MR-imaging included T1-weighted sequences for analysis of grey matter using voxel-based morphometry and diffusion-weighted sequences to investigate white matter tracts using probabilistic tractography. Comprehensive neurocognitive testing for verbal and non-verbal domains was performed. Alterations strongly focused on grey matter of the frontal-basal ganglia-thalamus network and temporal areas, as well as fiber tracts connecting these areas. In acute COVID-19 patients, a decline of grey matter volume was found with an accompanying diminution of white matter tracts. A decline in executive function and especially verbal fluency was found in acute patients, partially persisting in recovered. Changes in gray matter volume and white matter tracts included mainly areas involved in networks of executive control and language. Deeper understanding of these alterations is necessary especially with respect to long-term impairments, often referred to as 'Post-COVID'.

Sections du résumé

BACKGROUND BACKGROUND
Several research has underlined the multi-system character of COVID-19. Though effects on the Central Nervous System are mainly discussed as disease-specific affections due to the virus' neurotropism, no comprehensive disease model of COVID-19 exists on a neurofunctional base by now. We aimed to investigate neuroplastic grey- and white matter changes related to COVID-19 and to link these changes to neurocognitive testings leading towards a multi-dimensional disease model.
METHODS METHODS
Groups of acutely ill COVID-19 patients (n = 16), recovered COVID-19 patients (n = 21) and healthy controls (n = 13) were prospectively included into this study. MR-imaging included T1-weighted sequences for analysis of grey matter using voxel-based morphometry and diffusion-weighted sequences to investigate white matter tracts using probabilistic tractography. Comprehensive neurocognitive testing for verbal and non-verbal domains was performed.
RESULTS RESULTS
Alterations strongly focused on grey matter of the frontal-basal ganglia-thalamus network and temporal areas, as well as fiber tracts connecting these areas. In acute COVID-19 patients, a decline of grey matter volume was found with an accompanying diminution of white matter tracts. A decline in executive function and especially verbal fluency was found in acute patients, partially persisting in recovered.
CONCLUSION CONCLUSIONS
Changes in gray matter volume and white matter tracts included mainly areas involved in networks of executive control and language. Deeper understanding of these alterations is necessary especially with respect to long-term impairments, often referred to as 'Post-COVID'.

Identifiants

pubmed: 38470899
doi: 10.1371/journal.pone.0298837
pii: PONE-D-22-35673
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0298837

Informations de copyright

Copyright: © 2024 Deuter et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Daniel Deuter (D)

Klinik und Poliklinik für Neurochirurgie, University Hospital Regensburg, Regensburg, Germany.

Katharina Hense (K)

Klinik und Poliklinik für Neurochirurgie, University Hospital Regensburg, Regensburg, Germany.

Kevin Kunkel (K)

Klinik und Poliklinik für Neurochirurgie, University Hospital Regensburg, Regensburg, Germany.

Johanna Vollmayr (J)

Klinik und Poliklinik für Neurochirurgie, University Hospital Regensburg, Regensburg, Germany.

Sebastian Schachinger (S)

Klinik und Poliklinik für Neurochirurgie, University Hospital Regensburg, Regensburg, Germany.

Christina Wendl (C)

Institut für Röntgendiagnostik, University Hospital Regensburg, Regensburg, Germany.
Institut für Neuroradiologie, Medbo Bezirksklinikum Regensburg, Regensburg, Germany.

Andreas Schicho (A)

Institut für Röntgendiagnostik, University Hospital Regensburg, Regensburg, Germany.

Claudia Fellner (C)

Institut für Röntgendiagnostik, University Hospital Regensburg, Regensburg, Germany.

Bernd Salzberger (B)

Abteilung für Krankenhaushygiene und Infektiologie, University Hospital Regensburg, Regensburg, Germany.

Florian Hitzenbichler (F)

Abteilung für Krankenhaushygiene und Infektiologie, University Hospital Regensburg, Regensburg, Germany.

Judith Zeller (J)

Klinik und Poliklinik für Innere Medizin II, University Hospital Regensburg, Regensburg, Germany.

Veronika Vielsmeier (V)

Klinik und Poliklinik für Hals-Nasen-Ohren-Heilkunde, University Hospital Regensburg, Regensburg, Germany.

Frank Dodoo-Schittko (F)

Institut für Sozialmedizin und Gesundheitsforschung, Otto von Guericke University Magdeburg, Magdeburg, Germany.

Nils Ole Schmidt (NO)

Klinik und Poliklinik für Neurochirurgie, University Hospital Regensburg, Regensburg, Germany.

Katharina Rosengarth (K)

Klinik und Poliklinik für Neurochirurgie, University Hospital Regensburg, Regensburg, Germany.

Classifications MeSH