TY - JOUR
T1 - Connecting the dots
T2 - approaching a standardized nomenclature for molecular connectivity in positron emission tomography
AU - Reed, Murray B.
AU - Cocchi, Luca
AU - Sander, Christin Y.
AU - Chen, Jingyuan
AU - Matheson, Granville J.
AU - Fisher, Patrick
AU - Volpi, Tommaso
AU - Khattar, Nikkita
AU - DeLorenzo, Christine
AU - Gryglewski, Gregor
AU - Silberbauer, Leo R.
AU - Murgaš, Matej
AU - Godbersen, Godber M.
AU - Nics, Lukas
AU - Walter, Martin
AU - Hacker, Marcus
AU - Bertoldo, Alessandra
AU - Lubberink, Mark
AU - Silfstein, Mark
AU - Ogden, R. Todd
AU - Mann, J. John
AU - Suhara, Tetsuya
AU - Varrone, Andrea
AU - Boellaard, Ronald
AU - Gunn, Roger N.
AU - Hammers, Alexander
AU - Biswal, Bharat
AU - Rosen, Bruce
AU - Knudsen, Gitte M.
AU - Carson, Richard
AU - Price, Julie
AU - Lanzenberger, Rupert
AU - Hahn, Andreas
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Consensus
KW - Functional PET (fPET)
KW - Metabolic connectivity
KW - Molecular covariance
KW - Terminology
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U2 - 10.1007/s00259-025-07357-1
DO - 10.1007/s00259-025-07357-1
M3 - Review article
AN - SCOPUS:105007103571
SN - 1619-7070
JO - European Journal of Nuclear Medicine and Molecular Imaging
JF - European Journal of Nuclear Medicine and Molecular Imaging
ER -