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Connecting the dots: approaching a standardized nomenclature for molecular connectivity in positron emission tomography

  • Murray B. Reed
  • , Luca Cocchi
  • , Christin Y. Sander
  • , Jingyuan Chen
  • , Granville J. Matheson
  • , Patrick Fisher
  • , Tommaso Volpi
  • , Nikkita Khattar
  • , Christine DeLorenzo
  • , Gregor Gryglewski
  • , Leo R. Silberbauer
  • , Matej Murgaš
  • , Godber M. Godbersen
  • , Lukas Nics
  • , Martin Walter
  • , Marcus Hacker
  • , Alessandra Bertoldo
  • , Mark Lubberink
  • , Mark Silfstein
  • , R. Todd Ogden
  • J. John Mann, Tetsuya Suhara, Andrea Varrone, Ronald Boellaard, Roger N. Gunn, Alexander Hammers, Bharat Biswal, Bruce Rosen, Gitte M. Knudsen, Richard Carson, Julie Price, Rupert Lanzenberger, Andreas Hahn
  • Medical University of Vienna
  • Queensland Institute of Medical Research
  • Massachusetts General Hospital
  • Stockholm County Council
  • University of Copenhagen
  • Yale University
  • Friedrich Schiller University Jena
  • Otto von Guericke University Magdeburg
  • Leibniz Institute for Neurobiology
  • University of Padua
  • Uppsala University
  • Stony Brook University
  • Columbia University
  • National Institutes for Quantum Science and Technology
  • Amsterdam UMC
  • University of Groningen
  • XingImaging - A Mitro Company
  • Imperial College Healthcare NHS Trust
  • King’s College London & Guy’s and St Thomas’ PET Centre
  • King's College London
  • New Jersey Institute of Technology

Research output: Contribution to journalReview articlepeer-review

5 Scopus citations

Abstract

Positron emission tomography (PET)-based connectivity analysis provides a molecular perspective that complements fMRI-derived functional connectivity. However, lack of standardized terminology and diverse methodologies in PET connectivity studies has resulted in inconsistencies, complicating the interpretation and comparison of results across studies. A standardized nomenclature is thus needed to reduce ambiguity, enhance reproducibility, and facilitate interpretability across radiotracers, imaging modalities and studies. Here, we define and differentiate the terms “molecular connectivity” and “molecular covariance”. Drawing parallels from other imaging modalities, we propose “molecular connectivity” as an umbrella term to characterize statistical dependencies between the measured PET signal across brain regions at a within-subject level. Like fMRI resting-state functional connectivity, “molecular connectivity” leverages spatio-temporal associations in the PET signal to derive brain network associations. Conversely, “molecular covariance” denotes group-level computations of covariance matrices between-subjects. Further specification of the terminology can be achieved by including the target of the employed radioligand, such as “metabolic connectivity/covariance” for [18F]FDG or “amyloid covariance” for [18F]flutemetamol and “tau covariance” for [18F]flortaucipir. While this approach to standardization aims to clarify terminology, open questions remain about the neurobiological underpinnings of these connectivity metrics. Future research should focus on elucidating these mechanisms and developing advanced computational methodologies that evaluate diverse feature relationships and improve the robustness of PET-based connectivity metrics.

Original languageEnglish
Pages (from-to)48-58
Number of pages11
JournalEuropean Journal of Nuclear Medicine and Molecular Imaging
Volume53
Issue number1
DOIs
StatePublished - Dec 2025

Keywords

  • Consensus
  • Functional PET (fPET)
  • Metabolic connectivity
  • Molecular covariance
  • Terminology

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