Evidence map›Paper›PMID 36708380›Full record

ArticleExperimental brain research2023

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

B Tassignon, A Radwan, J Blommaert, L Stas, S D Allard, F De Ridder, E De Waele, L C Bulnes, N Hoornaert, P Lacor and 16 more

Open access · hybridAbstract read
In one paragraph

Article in Experimental brain research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors at 4 institutions in 1 country.

B Tassignon *Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0003-3216-4045
A Radwan *Department of Imaging and Pathology, Translational MRI, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-4819-548X
J BlommaertDepartment of Oncology, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-4746-9688
L StasBiostatistics and Medical Informatics Research Group, Department of Public Health, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0003-1567-2881
S D AllardInfectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.ORCID http://orcid.org/0000-0002-1565-7318
F De RidderDepartment of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.
E De WaeleIntensive Care Unit, UZ Brussel, Jette, Belgium.
L C BulnesBrain, Body and Cognition Research Group, Faculty of Psychology, Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0001-6709-920X
N HoornaertInfectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.
P LacorInfectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.
E LathouwersHuman Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0003-0117-8356
R MertensInfectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.
M NaeyaertDepartment of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.ORCID http://orcid.org/0000-0002-7452-5534
H RaeymaekersDepartment of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.ORCID http://orcid.org/0000-0003-0041-6359
L SeylerInfectious Diseases Unit, Department of Internal Medicine, UZ Brussel, Jette, Belgium.
A M Van BinstDepartment of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.
L Van ImschootDepartment of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.
L Van LiedekerkeDepartment of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.
J Van SchependomArtificial Intelligence and Modelling in Clinical Science, Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0003-1200-5872
P Van SchuerbeekDepartment of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.ORCID http://orcid.org/0000-0003-3647-4446
M VandekerckhoveDepartment of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.
R MeeusenHuman Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
S SunaertDepartment of Imaging and Pathology, Translational MRI, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-1177-4680
G NagelsArtificial Intelligence and Modelling in Clinical Science, Vrije Universiteit Brussel, Brussels, Belgium.
J De MeyDepartment of Radiology and Magnetic Resonance, UZ Brussel, Jette, Belgium.
K De PauwHuman Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, Brussels, Belgium. Kevin.De.Pauw@vub.be.ORCID http://orcid.org/0000-0002-6901-7199
Vrije Universiteit Brussel · BEUniversitair Ziekenhuis Brussel · BEKU Leuven · BEUniversitair Ziekenhuis Leuven · BE

Funding

Fonds Wetenschappelijk Onderzoek 11B9919N
6 · The paper itself

Abstract

backgroundLong-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.

objectivesTo 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.

methodsParticipants 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.

resultsSix 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).

conclusionAdverse 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.

Indexed as

COVID-19BrainCognitionHumansQuality of LifeSurvivorsMagnetic resonance imagingRecoverySARS-CoV-2

Identifiers

PMID36708380
PMCPMC9883830
OpenAlexW4318393131

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.