Verner Eric, Petropoulos Helen, Baker Bradley, Bockholt H Jeremy, Fries Jill, Bohsali Anastasia, Raja Rajikha, Trinh Duc Hoai, Calhoun Vince
Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Concurr Comput. 2023 Aug 15;35(18). doi: 10.1002/cpe.6855. Epub 2022 Jan 20.
BrainForge is a cloud-enabled, web-based analysis platform for neuroimaging research. This website allows users to archive data from a study and effortlessly process data on a high-performance computing cluster. After analyses are completed, results can be quickly shared with colleagues. BrainForge solves multiple problems for researchers who want to analyze neuroimaging data, including issues related to software, reproducibility, computational resources, and data sharing. BrainForge can currently process structural, functional, diffusion, and arterial spin labeling MRI modalities, including preprocessing and group level analyses. Additional pipelines are currently being added, and the pipelines can accept the BIDS format. Analyses are conducted completely inside of Singularity containers and utilize popular software packages including Nipype, Statistical Parametric Mapping, the Group ICA of fMRI Toolbox, and FreeSurfer. BrainForge also features several interfaces for group analysis, including a fully automated adaptive ICA approach.
BrainForge是一个基于云的、基于网络的神经影像研究分析平台。该网站允许用户存档研究数据,并在高性能计算集群上轻松处理数据。分析完成后,结果可以快速与同事共享。BrainForge为想要分析神经影像数据的研究人员解决了多个问题,包括与软件、可重复性、计算资源和数据共享相关的问题。BrainForge目前可以处理结构、功能、扩散和动脉自旋标记MRI模态,包括预处理和组水平分析。目前正在添加其他管道,并且这些管道可以接受BIDS格式。分析完全在Singularity容器内部进行,并使用包括Nipype、统计参数映射、功能磁共振成像工具箱的组独立成分分析和FreeSurfer在内的流行软件包。BrainForge还具有几个用于组分析的接口,包括一种全自动自适应独立成分分析方法。