Evidence map›Paper›PMID 42146624›Full record

ArticlebioRxiv : the preprint server for biology2026

Building an open ecosystem for molecular neuroimaging: standards and tools from the OpenNeuroPET initiative.

Melanie Ganz, Martin Norgaard, Cyril Pernet, Granville J Matheson, Anthony Galassi, Eric Ceballos, Murat Bilgel, Cyrus Eierud, Gabriel Gonzalez-Escamilla, Paul Wighton and 10 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Melanie GanzNeurobiology Research Unit, Rigshospitalet, Denmark.
Martin NorgaardDepartment of Computer Science, University of Copenhagen, Denmark.ORCID 0000-0003-2131-5688
Cyril PernetNeurobiology Research Unit, Rigshospitalet, Denmark.
Granville J MathesonCentre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Sweden.
Anthony GalassiMolecular Imaging Branch, National Institute of Mental Health (NIMH), United States.
Eric CeballosMontreal Neurological Institute, McGill University, Canada.
Murat BilgelNational Institute on Aging (NIA), United States.
Cyrus EierudTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, United States.
Gabriel Gonzalez-EscamillaDepartment of Neurology, Saarland University, Homburg, Saarland, Germany.
Paul WightonMartinos Center, Massachusetts General Hospital, United States.
Christopher J MarkiewiczDepartment of Psychology, Stanford University, United States.
Nell HardcastleDepartment of Psychology, Stanford University, United States.
Joshua BuckholtzDepartment of Psychology, Stanford University, United States.
Ross BlairDepartment of Psychology, Stanford University, United States.
Douglas N GreveMartinos Center, Massachusetts General Hospital, United States.
Adam G ThomasData Science and Sharing Team, National Institute of Mental Health (NIMH), United States.
Russell A PoldrackDepartment of Psychology, Stanford University, United States.
Vince CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, United States.
Robert B InnisMolecular Imaging Branch, National Institute of Mental Health (NIMH), United States.
Gitte M KnudsenNeurobiology Research Unit, Rigshospitalet, Denmark.ORCID 0000-0003-1508-6866

Funding

Data Science and Sharing TeamZICMH002960 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI THOMAS, ADAM G · 2017 to 2025
$10.3M
BRAIN project: OpenNeuroPET: An Archive for PET dataZIAMH002977 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI INNIS, ROBERT · 2021 to 2025
$3.3M
Intramural NIH HHS ZIA MH002977Intramural NIH HHS ZIC MH002960
6 · The paper itself

Abstract

Molecular neuroimaging with positron emission tomography (PET) and single-photon emission computed tomography (SPECT) enables quantification of specific molecular targets in the living brain. Despite its scientific impact, molecular neuroimaging research has historically faced challenges due to high costs, small sample sizes, laboratory-specific analysis pipelines, and limited large-scale data sharing. These factors have hindered reproducibility and the broader reuse of valuable PET datasets. The OpenNeuroPET initiative was established to address these barriers by developing standards, infrastructure, and open-source tools for organizing, sharing, and analyzing molecular neuroimaging data. Through collaborations across Europe and North America, OpenNeuroPET has supported the PET extension of the Brain Imaging Data Structure (PET-BIDS), providing a standardized framework for PET datasets and metadata. Building on PET-BIDS, tools such as PET2BIDS, ezBIDS, and BIDSCoin facilitate data conversion and curation. In parallel, OpenNeuro now hosts PET-BIDS datasets for open sharing, while complementary platforms such as PublicnEUro enable GDPR-compliant controlled access. Emerging open-source workflows and BIDS applications further support automated, reproducible PET preprocessing and quantitative analysis, promoting harmonized processing across centers. Together, these developments mark an important step toward an open molecular neuroimaging ecosystem in which datasets, software, and workflows can be transparently shared, reused, and scaled for collaborative research.

Indexed as

BIDSData sharingmolecular neuroimagingOpenNeuroPETpositron emission tomographyreproducibility

Identifiers

PMID42146624
PMCPMC13174660

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.