Anand Manish, Diekfuss Jed A, Slutsky-Ganesh Alexis B, Bonnette Scott, Grooms Dustin R, Myer Gregory D
The SPORT Center, Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Emory Sport Performance and Research Center, Flowery Branch, GA, USA.
SoftwareX. 2020 Jul-Dec;12. doi: 10.1016/j.softx.2020.100598. Epub 2020 Oct 21.
Independent Component Analysis-based Automatic Removal of Motion Artifacts (ICA-AROMA; Pruim et al., 2015) is a robust approach to remove brain activity related to head motion within functional magnetic resonance imaging (fMRI) datasets. However, ICA-AROMA requires command line implementation and customized code to batch process large datasets. We developed a cross-platform, open-source graphical user terface r atch processing fMRI datasets using ICA-OMA (INFOBAR). INFOBAR allows a user to search directories, identify appropriate datasets, and batch execute ICA-AROMA. INFOBAR also has additional data processing options and visualization features to support all researchers interested in mitigating head motion artifact in post-processing using ICA-AROMA.
基于独立成分分析的运动伪影自动去除方法（ICA - AROMA；普鲁伊姆等人，2015年）是一种在功能磁共振成像（fMRI）数据集中去除与头部运动相关的大脑活动的稳健方法。然而，ICA - AROMA需要通过命令行实现并使用定制代码来批量处理大型数据集。我们开发了一个跨平台的开源图形用户界面INFOBAR，用于使用ICA - OMA处理fMRI数据集。INFOBAR允许用户搜索目录、识别合适的数据集并批量执行ICA - AROMA。INFOBAR还具有额外的数据处理选项和可视化功能，以支持所有有兴趣在使用ICA - AROMA进行后处理时减轻头部运动伪影的研究人员。
