Longitudinal changes in global structural brain connectivity and cognitive performance in former hospitalized COVID-19 survivors: an exploratory study.


Journal

Experimental brain research
ISSN: 1432-1106
Titre abrégé: Exp Brain Res
Pays: Germany
ID NLM: 0043312

Informations de publication

Date de publication:
Mar 2023
Historique:
received: 06 09 2022
accepted: 02 01 2023
pubmed: 29 1 2023
medline: 8 3 2023
entrez: 28 1 2023
Statut: ppublish

Résumé

Long-term sequelae of COVID-19 can result in reduced functionality of the central nervous system and substandard quality of life. Gaining insight into the recovery trajectory of admitted COVID-19 patients on their cognitive performance and global structural brain connectivity may allow a better understanding of the diseases' relevance. To assess whole-brain structural connectivity in former non-intensive-care unit (ICU)- and ICU-admitted COVID-19 survivors over 2 months following hospital discharge and correlate structural connectivity measures to cognitive performance. Participants underwent Magnetic Resonance Imaging brain scans and a cognitive test battery after hospital discharge to evaluate structural connectivity and cognitive performance. Multilevel models were constructed for each graph measure and cognitive test, assessing the groups' influence, time since discharge, and interactions. Linear regression models estimated whether the graph measurements affected cognitive measures and whether they differed between ICU and non-ICU patients. Six former ICU and six non-ICU patients completed the study. Across the various graph measures, the characteristic path length decreased over time (β = 0.97, p = 0.006). We detected no group-level effects (β = 1.07, p = 0.442) nor interaction effects (β = 1.02, p = 0.220). Cognitive performance improved for both non-ICU and ICU COVID-19 survivors on four out of seven cognitive tests 2 months later (p < 0.05). Adverse effects of COVID-19 on brain functioning and structure abate over time. These results should be supported by future research including larger sample sizes, matched control groups of healthy non-infected individuals, and more extended follow-up periods.

Sections du résumé

BACKGROUND BACKGROUND
Long-term sequelae of COVID-19 can result in reduced functionality of the central nervous system and substandard quality of life. Gaining insight into the recovery trajectory of admitted COVID-19 patients on their cognitive performance and global structural brain connectivity may allow a better understanding of the diseases' relevance.
OBJECTIVES OBJECTIVE
To assess whole-brain structural connectivity in former non-intensive-care unit (ICU)- and ICU-admitted COVID-19 survivors over 2 months following hospital discharge and correlate structural connectivity measures to cognitive performance.
METHODS METHODS
Participants underwent Magnetic Resonance Imaging brain scans and a cognitive test battery after hospital discharge to evaluate structural connectivity and cognitive performance. Multilevel models were constructed for each graph measure and cognitive test, assessing the groups' influence, time since discharge, and interactions. Linear regression models estimated whether the graph measurements affected cognitive measures and whether they differed between ICU and non-ICU patients.
RESULTS RESULTS
Six former ICU and six non-ICU patients completed the study. Across the various graph measures, the characteristic path length decreased over time (β = 0.97, p = 0.006). We detected no group-level effects (β = 1.07, p = 0.442) nor interaction effects (β = 1.02, p = 0.220). Cognitive performance improved for both non-ICU and ICU COVID-19 survivors on four out of seven cognitive tests 2 months later (p < 0.05).
CONCLUSION CONCLUSIONS
Adverse effects of COVID-19 on brain functioning and structure abate over time. These results should be supported by future research including larger sample sizes, matched control groups of healthy non-infected individuals, and more extended follow-up periods.

Identifiants

pubmed: 36708380
doi: 10.1007/s00221-023-06545-5
pii: 10.1007/s00221-023-06545-5
pmc: PMC9883830
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

727-741

Subventions

Organisme : Fonds Wetenschappelijk Onderzoek
ID : 11B9919N

Informations de copyright

© 2023. The Author(s).

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Auteurs

B Tassignon (B)

Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium.

A Radwan (A)

Department of Imaging and Pathology, Translational MRI, KU Leuven, Leuven, Belgium.

J Blommaert (J)

Department of Oncology, KU Leuven, Leuven, Belgium.

L Stas (L)

Biostatistics and Medical Informatics Research Group, Department of Public Health, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium.
Interfaculty Center for Data Processing and Statistics, Core Facility Statistics and Methodology, Vrije Universiteit Brussel, Brussels, Belgium.

S D Allard (SD)

Infectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.

F De Ridder (F)

Department of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.

E De Waele (E)

Intensive Care Unit, UZ Brussel, Jette, Belgium.

L C Bulnes (LC)

Brain, Body and Cognition Research Group, Faculty of Psychology, Vrije Universiteit Brussel, Brussels, Belgium.

N Hoornaert (N)

Infectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.

P Lacor (P)

Infectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.

E Lathouwers (E)

Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium.

R Mertens (R)

Infectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.

M Naeyaert (M)

Department of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.

H Raeymaekers (H)

Department of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.

L Seyler (L)

Infectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.

A M Van Binst (AM)

Department of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.

L Van Imschoot (L)

Department of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.

L Van Liedekerke (L)

Department of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.

J Van Schependom (J)

Artificial Intelligence and Modelling in Clinical Science, Vrije Universiteit Brussel, Brussels, Belgium.
Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Brussels, Belgium.

P Van Schuerbeek (P)

Department of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.

M Vandekerckhove (M)

Department of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.

R Meeusen (R)

Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
BruBotics, Vrije Universiteit Brussel, Brussels, Belgium.
Strategic Research Program 'Exercise and the Brain in Health & Disease: The Added Value of Human-Centered Robotics', Vrije Universiteit Brussel, Brussels, Belgium.

S Sunaert (S)

Department of Imaging and Pathology, Translational MRI, KU Leuven, Leuven, Belgium.
Department of Radiology, UZ Leuven, Leuven, Belgium.

G Nagels (G)

Artificial Intelligence and Modelling in Clinical Science, Vrije Universiteit Brussel, Brussels, Belgium.

J De Mey (J)

Department of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.

K De Pauw (K)

Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium. Kevin.De.Pauw@vub.be.
BruBotics, Vrije Universiteit Brussel, Brussels, Belgium. Kevin.De.Pauw@vub.be.
Strategic Research Program 'Exercise and the Brain in Health & Disease: The Added Value of Human-Centered Robotics', Vrije Universiteit Brussel, Brussels, Belgium. Kevin.De.Pauw@vub.be.

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