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

Authors :
Manish Anand
Jed A. Diekfuss
Alexis B. Slutsky-Ganesh
Scott Bonnette
Dustin R. Grooms
Gregory D. Myer
Source :
SoftwareX, Vol 12, Iss , Pp 100598- (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

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.

Details

Language :
English
ISSN :
23527110
Volume :
12
Issue :
100598-
Database :
Directory of Open Access Journals
Journal :
SoftwareX
Publication Type :
Academic Journal
Accession number :
edsdoj.68560b0a1efc48b1bb1bb492ddaa20cd
Document Type :
article
Full Text :
https://doi.org/10.1016/j.softx.2020.100598