Connecting the dots: approaching a standardized nomenclature for molecular connectivity in positron emission tomography
- PMID: 40455254
- DOI: 10.1007/s00259-025-07357-1
Connecting the dots: approaching a standardized nomenclature for molecular connectivity in positron emission tomography
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.
Keywords: Consensus; Functional PET (fPET); Metabolic connectivity; Molecular covariance; Terminology.
© 2025. The Author(s).
Conflict of interest statement
Declarations. Ethics approval: Ethical approval was not required for this study as it is a review of existing literature and does not involve human subjects or patient data. Consent to participate: Not applicable, as this study does not involve participants or data thereof. Consent to publish: Not applicable, as this study does not include any individual data or identifying information. Conflict of interest: R. Lanzenberger received investigator-initiated research funding from Siemens Healthcare regarding clinical research using PET/MR and travel grants and/or conference speaker honoraria from Janssen-Cilag Pharma GmbH in 2023, and Bruker BioSpin, Shire, AstraZeneca, Lundbeck A/S, Dr. Willmar Schwabe GmbH, Orphan Pharmaceuticals AG, Janssen-Cilag Pharma GmbH, Heel and Roche Austria GmbH., and Janssen-Cilag Pharma GmbH in the years before 2020. He is a shareholder of the start-up company BM Health GmbH, Austria since 2019. M. Hacker received consulting fees and/or honoraria from Bayer Healthcare BMS, Eli Lilly, EZAG, GE Healthcare, Ipsen, ITM, Janssen, Roche, and Siemens Healthineers. L. Cocchi is involved in a not-for-profit clinic administering fMRI-guided brain stimulation therapy (Queensland Neurostimulation Centre). The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Clinical trial number: Not applicable.
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