Evidence map›Paper›PMID 37265421›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging

Cerebral blood flow in patients recovered from mild COVID-19.

Souvik Sen, Roger Newman-Norlund, Nicholas Riccardi, Christopher Rorden, Sarah Newman-Norlund, Sara Sayers, Julius Fridriksson, Makenzie Logue

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 10 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

8 authors at 1 institution in 1 country.

Souvik SenDepartment of Neurology, University of South Carolina, Columbia, South Carolina, USA.ORCID 0000-0002-0886-2364
Roger Newman-NorlundDepartment of Neurology, University of South Carolina, Columbia, South Carolina, USA.
Nicholas RiccardiDepartment of Neurology, University of South Carolina, Columbia, South Carolina, USA.
Christopher RordenDepartment of Neurology, University of South Carolina, Columbia, South Carolina, USA.
Sarah Newman-NorlundDepartment of Neurology, University of South Carolina, Columbia, South Carolina, USA.ORCID 0000-0002-9064-1332
Sara SayersDepartment of Neurology, University of South Carolina, Columbia, South Carolina, USA.
Julius FridrikssonDepartment of Neurology, University of South Carolina, Columbia, South Carolina, USA.
Makenzie LogueDepartment of Neurology, University of South Carolina, Columbia, South Carolina, USA.
University of South Carolina · US

Funding

Telerehab for Aphasia (TERRA)P50DC014664 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2016 to 2025
$25.0M
NIDCD NIH HHS P50 DC014664
6 · The paper itself

Abstract

background and purposeCerebral hypoperfusion has been described in both severe and mild forms of symptomatic Coronavirus Disease 2019 (COVID-19) infection. The purpose of this study was to investigate global and regional cerebral blood flow (CBF) in asymptomatic COVID-19 patients.

methodsCases with mild COVID-19 infection and age-, sex-, and race-matched healthy controls were drawn from the Aging Brain Consortium at The University of South Carolina data repository. Demographics, risk factors, and data from the Montreal Cognitive Assessment were collected. Mean CBF values for gray matter (GM), white matter (WM), and the whole brain were calculated by averaging CBF values of standard space-normalized CBF image values falling within GM and WM masks. Whole brain region of interest-based analyses were used to create standardized CBF maps and explore differences between groups.

resultsTwenty-eight cases with prior mild COVID-19 infection were compared with 28 controls. Whole-brain CBF (46.7 ± 5.6 vs. 49.3 ± 3.7, p = .05) and WM CBF (29.3 ± 2.6 vs. 31.0 ± 1.6, p = .03) were noted to be significantly lower in COVID-19 cases as compared to controls. Predictive models based on these data predicted COVID-19 group membership with a high degree of accuracy (85.2%, p < .001), suggesting CBF patterns are an imaging marker of mild COVID-19 infection.

conclusionIn this study, lower WM CBF, as well as widespread regional CBF changes identified using quantitative MRI, was found in mild COVID-19 patients. Further studies are needed to determine the reliability of this newly identified COVID-19 brain imaging marker and determine what drives these CBF changes.

Indexed as

COVID-19White MatterBrainCerebrovascular CirculationHumansMagnetic Resonance ImagingReproducibility of Resultscerebral blood flowCOVID-19infectionwhite matter

Identifiers

PMID37265421
PMCPMC11205277
OpenAlexW4379093926

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.