Evidence map›Paper›PMID 40594264›Full record

ArticleScientific reports2025

Mapping brain changes in post-COVID-19 cognitive decline via FDG PET hypometabolism and EEG slowing.

Paolo Manganotti, Katerina Iscra, Giovanni Furlanis, Marco Michelutti, Aleksandar Miladinović, Alina Menichelli, Ivan Cerio, Agostino Accardo, Franca Dore, Miloš Ajčević

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
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

10 authors.

Paolo ManganottiClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Trieste University Hospital-ASUGI, University of Trieste, Trieste, Italy. pmanganotti@units.it.
Katerina IscraDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.
Giovanni FurlanisClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Trieste University Hospital-ASUGI, University of Trieste, Trieste, Italy.
Marco MicheluttiClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Trieste University Hospital-ASUGI, University of Trieste, Trieste, Italy.
Aleksandar MiladinovićDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.
Alina MenichelliRehabilitation Unit, Neuropsychological Service Trieste University Hospital- ASUGI, Trieste, Italy.
Ivan CerioNuclear Medicine, Imaging Diagnostic Department University Hospital and Health Services of Trieste, Trieste, Italy.
Agostino AccardoDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.
Franca DoreNuclear Medicine, Imaging Diagnostic Department University Hospital and Health Services of Trieste, Trieste, Italy.
Miloš AjčevićDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive decline is a common symptom of post-COVID-19 syndrome. However, the mechanisms underlying this deficit remain poorly understood. This study aims to investigate the relationship between brain metabolic and neurophysiological alteration patterns in patients with persistent subjective cognitive decline after mild COVID-19 using joint FDG-PET and EEG analyses. The study was conducted on 28 post-COVID-19 patients with cognitive decline, who underwent comprehensive clinical evaluation including cognitive testing, FDG-PET imaging, and EEG acquisition. Voxelwise statistical analysis of PET images was performed by comparing post-COVID-19 patients with healthy controls (p-voxel < 0.005 uncorrected, p-cluster < 0.005 FWE-corrected, K > 599 voxels). EEG spectral powers were extracted and compared with age and sex-matched controls. The results showed significant hypometabolism in the bilateral frontal, temporal, and parietal lobes, as well as in the left occipital lobe, along with predominantly frontal EEG slowing in post-COVID-19 patients compared to healthy controls. In particular, the EEG alterations were characterized by a significant increase in relative power in the delta and theta bands, accompanied by a marked reduction in alpha band power in the frontal, temporal, and central regions. The observed PET hypometabolism and EEG slowing patterns in anterior brain regions, may help to elucidate the pathophysiological mechanisms underlying cognitive decline in post-COVID-19 patients.

Indexed as

BrainCognitive DysfunctionCOVID-19Positron-Emission TomographyAgedBrain MappingCase-Control StudiesElectroencephalographyFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedSARS-CoV-2Fluorodeoxyglucose F18

Identifiers

PMID40594264
PMCPMC12216005

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.