Evidence map›Paper›PMID 38472569›Full record

ArticleEJNMMI research2024

Evidence of brain metabolism redistribution from neocortex to primitive brain structures in early acute COVID-19 respiratory syndrome.

Stephan P M Souza, Nicoli Colet, Mariana Fujiwara, Alins P Fernandes, Natalia Tobar, Sergio S J Dertkigil, Maria Emilia S Takahashi, Bárbara J Amorim, Lucas S Silva, Clarissa L Yasuda and 5 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

15 authors at 1 institution in 1 country.

Stephan P M SouzaNuclear Medicine Division, Department of Radiology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Nicoli ColetNuclear Medicine Division, Department of Radiology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Mariana FujiwaraEndocrinology Division, Department of Internal Medicine, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Alins P FernandesNuclear Medicine Division, Department of Radiology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Natalia TobarNuclear Medicine Division, Department of Radiology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Sergio S J DertkigilDepartment of Radiology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Maria Emilia S TakahashiGleb Wataghin Institute of Physics, University of Campinas, Campinas, Brazil.
Bárbara J AmorimNuclear Medicine Division, Department of Radiology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Lucas S SilvaDepartment of Neurology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Clarissa L YasudaDepartment of Neurology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Fernando CendesDepartment of Neurology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Thiago F de SouzaNuclear Medicine Division, Department of Radiology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Juliano T RodriguesNuclear Medicine Division, Department of Radiology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Denise E Zantut-WittmannEndocrinology Division, Department of Internal Medicine, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil.
Celso Dario RamosNuclear Medicine Division, Department of Radiology, Faculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil. cdramos@unicamp.br.ORCID http://orcid.org/0000-0002-1312-1026
Universidade Estadual de Campinas (UNICAMP) · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 313024/2021-9Fundação de Amparo à Pesquisa do Estado de São Paulo 313024/2021-9
6 · The paper itself

Abstract

backgroundNeuropsychiatric sequelae of COVID-19 have been widely documented in patients with severe neurological symptoms during the chronic or subacute phase of the disease. However, it remains unclear whether subclinical changes in brain metabolism can occur early in the acute phase of the disease. The aim of this study was to identify and quantify changes in brain metabolism in patients hospitalized for acute respiratory syndrome due to COVID-19 with no or mild neurological symptoms.

resultsTwenty-three non-intubated patients (13 women; mean age 55.5 ± 12.1 years) hospitalized with positive nasopharyngeal swab test (RT-PCR) for COVID-19, requiring supplemental oxygen and no or mild neurological symptoms were studied. Serum C-reactive protein measured at admission ranged from 6.43 to 189.0 mg/L (mean: 96.9 ± 54.2 mg/L). The mean supplemental oxygen demand was 2.9 ± 1.4 L/min. [

conclusionsBrain metabolism is clearly affected during the acute phase of COVID-19 respiratory syndrome in neurologically asymptomatic or oligosymptomatic patients. The most frequent finding is marked hypermetabolism in evolutionary ancient structures such as lenticular nucleus and thalami. Neocortical metabolism was reduced in up to one third of patients, suggesting a redistribution of brain metabolism from the neocortex to evolutionary ancient brain structures in these patients.

Indexed as

Brain metabolismCOVID-19FDGMetabolism redistributionPositron emission tomography/computed tomographyQuantification

Identifiers

PMID38472569
PMCPMC10933245
OpenAlexW4392678822

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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.