Evidence map›Paper›PMID 37090033›Full record

ArticleFrontiers in neuroinformatics2023

QuNex-An integrative platform for reproducible neuroimaging analytics.

Jie Lisa Ji, Jure Demšar, Clara Fonteneau, Zailyn Tamayo, Lining Pan, Aleksij Kraljič, Andraž Matkovič, Nina Purg, Markus Helmer, Shaun Warrington and 9 more

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Jie Lisa JiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Jure DemšarFaculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.
Clara FonteneauDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Zailyn TamayoDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Lining PanDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Aleksij KraljičDepartment of Psychology, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia.
Andraž MatkovičDepartment of Psychology, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia.
Nina PurgDepartment of Psychology, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia.
Markus HelmerDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Shaun WarringtonSir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Anderson WinklerDepartment of Human Genetics, The University of Texas Rio Grande Valley, Brownsville, TX, United States.
Valerio ZerbiCentre for Biomedical Imaging (CIBM), Lausanne, Switzerland.
Timothy S CoalsonDepartment of Neuroscience, Washington University in St. Louis, St. Louis, MO, United States.
Matthew F GlasserDepartment of Neuroscience, Washington University in St. Louis, St. Louis, MO, United States.
Michael P HarmsDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States.
Stamatios N SotiropoulosSir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
John D MurrayDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Alan AnticevicDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Grega RepovšDepartment of Psychology, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia.

Funding

Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI John H. Krystal · 2001 to 2026
$43.7M
VULNERABILITY AND RESILIENCY IN THE AGING ADULT BRAIN CONNECTOME (AABC)U19AG073585 · NIA · WASHINGTON UNIVERSITY · PI Beau M Ances, DAVID H SALAT · 2021 to 2026
$41.3M
MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
Mapping the Human Connectome During Typical DevelopmentU01MH109589 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA, BOOKHEIMER, SUSAN Y · 2016 to 2019
$17.1M
RECONSTRUCTIONS AND REPRESENTATIONS OF CEREBRAL CORTEXR01MH060974 · NIMH · WASHINGTON UNIVERSITY · PI VAN ESSEN, DAVID C · 1999 to 2024
$12.7M
A Translational and Neurocomputational Evaluation of a D1R Partial Agonist for SchizophreniaU01MH121766 · NIMH · YALE UNIVERSITY · PI KRYSTAL, JOHN H. · 2019 to 2022
$11.8M
Connectome Coordination FacilityR24MH108315 · NIMH · WASHINGTON UNIVERSITY · PI MARCUS, DANIEL SCOTT, VAN ESSEN, DAVID C · 2015 to 2019
$5.7M
Connectome Coordination Facility IIR24MH122820 · NIMH · WASHINGTON UNIVERSITY · PI MARCUS, DANIEL SCOTT, VAN ESSEN, DAVID C · 2020 to 2023
$3.4M
Characterizing Schizophrenia Progression via Multi-modal Neuroimaging and ComputationR01MH108590 · NIMH · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2016 to 2020
$2.0M
Characterizing Cognitive Impairment in Schizophrenia via Computational Modeling aDP5OD012109 · OD · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2012 to 2016
$1.8M
Linking Large-Scale Dysconnectivity in Schizophrenia to Cortical Circuit Function at the Individual Level through Computational Modeling and Multimodal NeuroimagingR01MH112746 · NIMH · YALE UNIVERSITY · PI MURRAY, JOHN DAVID · 2017 to 2020
$1.7M
Mapping the Longitudinal Neurobiology of Early-course SchizophreniaR01MH112189 · NIMH · YALE UNIVERSITY · PI ANTICEVIC, ALAN · 2017 to 2021
$939k
NIAAA NIH HHS P50 AA012870NIA NIH HHS U01 AG052564NIA NIH HHS U19 AG073585NIH HHS DP5 OD012109NIMH NIH HHS R01 MH060974NIMH NIH HHS R01 MH108590NIMH NIH HHS R01 MH112189NIMH NIH HHS R01 MH112746NIMH NIH HHS R24 MH108315NIMH NIH HHS R24 MH122820NIMH NIH HHS U01 MH109589NIMH NIH HHS U01 MH121766Wellcome Trust
6 · The paper itself

Abstract

Introduction: Neuroimaging technology has experienced explosive growth and transformed the study of neural mechanisms across health and disease. However, given the diversity of sophisticated tools for handling neuroimaging data, the field faces challenges in method integration, particularly across multiple modalities and species. Specifically, researchers often have to rely on siloed approaches which limit reproducibility, with idiosyncratic data organization and limited software interoperability. Methods: To address these challenges, we have developed Quantitative Neuroimaging Environment & Toolbox (QuNex), a platform for consistent end-to-end processing and analytics. QuNex provides several novel functionalities for neuroimaging analyses, including a "turnkey" command for the reproducible deployment of custom workflows, from onboarding raw data to generating analytic features. Results: The platform enables interoperable integration of multi-modal, community-developed neuroimaging software through an extension framework with a software development kit (SDK) for seamless integration of community tools. Critically, it supports high-throughput, parallel processing in high-performance compute environments, either locally or in the cloud. Notably, QuNex has successfully processed over 10,000 scans across neuroimaging consortia, including multiple clinical datasets. Moreover, QuNex enables integration of human and non-human workflows Discussion: Collectively, this effort stands to significantly impact neuroimaging method integration across acquisition approaches, pipelines, datasets, computational environments, and species. Building on this platform will enable more rapid, scalable, and reproducible impact of neuroimaging technology across health and disease.

Indexed as

cloud integrationcontainerizationdata processingdiffusion MRIfunctional MRIhigh-performance computingmulti-modal analysesneuroimaging

Identifiers

PMID37090033
PMCPMC10113546

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.