Reorganization of brain connectivity in post-COVID condition: a 18F-FDG PET study
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: A hypometabolic brain pattern has been reported in patients with post-COVID condition (PCC). The aim of this study was to investigate reorganization in metabolic connectivity in patients with PCC. RESULTS: F-FDG PET before the COVID-19 outbreak. A voxel-based group comparison between patients and controls was performed (p-voxel at 0.005 uncorrected, p-cluster at 0.05 FWE corrected). Interregional correlation analyses of the identified clusters as well as sparse inverse covariance estimations at whole-brain scaling were also conducted. Both analyses were performed at the group level for all patients and then secondarily according to the postinfection delay; 88 and 100 patients, respectively, had a delay of less than or greater than 9 months (± 9 M). Three hypometabolic clusters, namely, the right frontotemporal, right and left cerebellar, were identified from the voxel-based group comparisons of PCC patients. Within this hypometabolic PCC pattern, a modification in metabolic connectivity was observed in patients compared with controls, which was more marked in the + 9 M group than in the - 9 M group. On the other hand, the graph analysis revealed a decrease in connectivity efficiency metrics in the PCC. CONCLUSIONS: Metabolic connectivity is modified in patients with PCC within the hypometabolic post-COVID-19 network, with lasting reorganization evolving over time, suggesting functional adaptation.
Source: EJNMMI Research
Institutions: Inserm, Centre Hospitalier Régional et Universitaire de Nancy, Imagerie Adaptative Diagnostique et Interventionnelle, Université de Lorraine, Hôpital de la Conception, Méditerranée Infection Foundation, Assistance Publique Hôpitaux de Marseille, Centre National de la Recherche Scientifique, Aix-Marseille Université, Institut Fresnel, Centrale Méditerranée, Centre Européen de Recherche en Imagerie Médicale
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,190
OpenAlex ID: W4408985491
