[HTML][HTML] Graphical interface for automated management of motion artifact within fMRI acquisitions: INFOBAR

M Anand, JA Diekfuss, AB Slutsky-Ganesh, S Bonnette… - SoftwareX, 2020 - Elsevier
Abstract 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 Interface for
Batch processing fMRI datasets using ICA-AROMA (INFOBAR). INFOBAR allows a user to …
Abstract
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 Interface for Batch processing fMRI datasets using ICA-AROMA (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.
Elsevier
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