作者
Angela I. Renton,Thanh Thuy Dao,David F. Abbott,Saskia Bollmann,Megan Campbell,Jeryn Chang,Thomas G. Close,Korbinian Eckstein,Gary F. Egan,Stefanie Evas,Kelly Garner,Marta I. Garrido,Anthony J. Hannan,Laurentius Huber,Tom Johnstone,Jakub Kaczmarzyk,Lars Kasper,Levin Kuhlmann,Kexin Lou,Paris Lyons,Jason B. Mattingley,A Narayanan,Franco Pestilli,Aina Puce,Fernanda L. Ribeiro,Nigel C. Rogasch,Thomas Shaw,Paul F. Sowman,Gershon Spitz,Ashley Stewart,Ryan P. Sullivan,David White,Xincheng Ye,Judy D. Zhu,Aswin Narayanan
摘要
Neuroimaging data analysis often requires purpose-built software, which can be challenging to install and may produce different results across computing environments. Beyond being a roadblock to neuroscientists, these issues of accessibility and portability can hamper the reproducibility of neuroimaging data analysis pipelines. Here, we introduce the Neurodesk platform, which harnesses software containers to support a comprehensive and growing suite of neuroimaging software (https://www.neurodesk.org/). Neurodesk includes a browser-accessible virtual desktop environment and a command line interface, mediating access to containerized neuroimaging software libraries on various computing platforms, including personal and high-performance computers, cloud computing and Jupyter Notebooks. This community-oriented, open-source platform enables a paradigm shift for neuroimaging data analysis, allowing for accessible, flexible, fully reproducible, and portable data analysis pipelines.