School of Medicine Publications and Presentations
Document Type
Article
Publication Date
4-5-2023
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 via a cohesive translational platform.
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.
Recommended Citation
Ji JL, Demšar J, Fonteneau C, Tamayo Z, Pan L, Kraljiˇc A, Matkoviˇc A, Purg N, Helmer M, Warrington S, Winkler A, Zerbi V, Coalson TS, Glasser MF, Harms MP, Sotiropoulos SN, Murray JD, Anticevic A and Repovš G (2023) QuNex—An integrative platform for reproducible neuroimaging analytics. Front. Neuroinform. 17:1104508. doi: 10.3389/fninf.2023.1104508
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Frontiers in Neuroinformatics
DOI
10.3389/fninf.2023.1104508
Academic Level
faculty
Mentor/PI Department
Office of Human Genetics
Comments
© 2023 Ji, Demšar, Fonteneau, Tamayo, Pan, Kraljiˇc, Matkoviˇc, Purg, Helmer, Warrington, Winkler, Zerbi, Coalson, Glasser, Harms, Sotiropoulos, Murray, Anticevic and Repov.