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Background <p>A hypometabolic brain pattern has been reported in patients with post-COVID condition&#xa0;(PCC). The aim of this study was to investigate reorganization in metabolic connectivity in patients with PCC.</p> Results <p>One hundred eighty-eight patients who underwent brain <sup>18</sup>F-FDG PET for PCC were retrospectively included from two university hospital centres. These patients were age- and sex-matched to 120 healthy controls who underwent brain <sup>18</sup>F-FDG PET before the COVID-19 outbreak. A voxel-based group comparison between patients and controls was performed (<i>p</i>-voxel at 0.005 uncorrected, <i>p</i>-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 −&#xa0;9 M group. On the other hand, the graph analysis revealed a decrease in connectivity efficiency metrics in the PCC.</p> Conclusions <p>Metabolic connectivity is modified in patients with PCC within the hypometabolic post-COVID-19 network, with lasting reorganization evolving over time, suggesting functional adaptation.</p>

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Reorganization of brain connectivity in post-COVID condition: a 18F-FDG PET study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月30日

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  • Antoine Verger,
  • Matthieu Doyen,
  • Sebastien Heyer,
  • François Goehringer,
  • Alexandra Bruyere,
  • Elsa Kaphan,
  • Meriem Chine,
  • Amélie Menard,
  • Tatiana Horowitz,
  • Eric Guedj

摘要

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

One hundred eighty-eight patients who underwent brain 18F-FDG PET for PCC were retrospectively included from two university hospital centres. These patients were age- and sex-matched to 120 healthy controls who underwent brain 18F-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.