Graphical interface for automated management of motion artifact within fMRI acquisitions: INFOBAR
Manish Anand,
Jed A. Diekfuss,
Alexis B. Slutsky-Ganesh,
Scott Bonnette,
Dustin R. Grooms,
Gregory D. Myer
Affiliations
Manish Anand
The SPORT Center, Division of Sports Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA; Corresponding author.
Jed A. Diekfuss
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; Department of Orthopaedics, Emory University School of Medicine, Atlanta, GA, USA
Alexis B. Slutsky-Ganesh
Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, USA
Scott Bonnette
The SPORT Center, Division of Sports Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
Dustin R. Grooms
Ohio Musculoskeletal & Neurological Institute, Ohio University, Athens, OH, USA; Division of Athletic Training, School of Applied Health Sciences and Wellness, College of Health Sciences & Professions, Ohio University, Athens, OH, USA; Division of Physical Therapy, School of Rehabilitation and Communication Sciences, College of Health Sciences & Professions, Ohio University, Athens, OH, USA
Gregory D. Myer
The SPORT Center, Division of Sports Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics and Orthopaedic Surgery, College of Medicine, University of Cincinnati, Cincinnati, OH, USA; The Micheli Center for Sports Injury Prevention, Waltham, MA, USA; Emory Sports Medicine Center, Atlanta, GA, USA; Emory Sport Performance and Research Center, Flowery Branch, GA, USA; Department of Orthopaedics, Emory University School of Medicine, Atlanta, GA, USA
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.
