Personalized mapping of body homeostasis using whole-body PET connectomics and routine FDG PET imaging
Personalized PET-based connectomics can detect individual-level homeostatic perturbations using standard imaging protocols. This non-invasive approach offers a promising strategy to characterize the systemic impact of chronic diseases and represents a shift from population-level analyses toward truly personalized metabolic phenotyping.
Authors
- Florent L. Besson (ORCID: https://orcid.org/0000-0002-9826-3890)
- S. Varet
- Marc Humbert (ORCID: https://orcid.org/0000-0003-0703-2892)
- David Montani
- Sylvain Faure
- Laurent Savale
- Aldric Labarthe
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Université Paris Cité (FR)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Université Paris-Saclay (FR)
- Laboratoire de Mathématiques d'Orsay (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Hypertension pulmonaire : physiopathologie et innovation thérapeutique (FR)
- Centre Inria de Saclay (FR)
- CEA Paris-Saclay (FR)
- Battelle (CH)
- Bicêtre Hospital (FR)
Publication Details
- Journal
- Communications Medicine
- Published
- 2026-03-27
- DOI
- https://doi.org/10.1038/s43856-026-01549-y
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00