Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging

期刊论文
发表日期：

2024年1月8日

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Angela I. Renton,
Thuy T. Dao,
Tom Johnstone,
Oren Civier,
Ryan P. Sullivan,
David J. White,
Paris Lyons,
Benjamin M. Slade,
David F. Abbott,
Toluwani J. Amos,
Saskia Bollmann,
Andy Botting,
Megan E. J. Campbell,
Jeryn Chang,
Thomas G. Close,
Monika Dörig,
Korbinian Eckstein,
Gary F. Egan,
Stefanie Evas,
Guillaume Flandin,
Kelly G. Garner,
Marta I. Garrido,
Satrajit S. Ghosh,
Martin Grignard,
Yaroslav O. Halchenko,
Anthony J. Hannan,
Anibal S. Heinsfeld,
Laurentius Huber,
Matthew E. Hughes,
Jakub R. Kaczmarzyk,
Lars Kasper,
Levin Kuhlmann,
Kexin Lou,
Yorguin-Jose Mantilla-Ramos,
Jason B. Mattingley,
Michael L. Meier,
Jo Morris,
Akshaiy Narayanan,
Franco Pestilli,
Aina Puce,
Fernanda L. Ribeiro,
Nigel C. Rogasch,
Chris Rorden,
Mark M. Schira,
Thomas B. Shaw,
Paul F. Sowman,
Gershon Spitz,
Ashley W. Stewart,
Xincheng Ye,
Judy D. Zhu,
Aswin Narayanan,
Steffen Bollmann

摘要

Neuroimaging research requires purpose-built analysis software, which is challenging to install and may produce different results across computing environments. The community-oriented, open-source Neurodesk platform (https://www.neurodesk.org/) harnesses a comprehensive and growing suite of neuroimaging software containers. Neurodesk includes a browser-accessible virtual desktop, command-line interface and computational notebook compatibility, allowing for accessible, flexible, portable and fully reproducible neuroimaging analysis on personal workstations, high-performance computers and the cloud.