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

SoftwareX (Jul 2020)

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

Journal volume & issue: Vol. 12
p. 100598

Abstract

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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.

Published in SoftwareX

ISSN: 2352-7110 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
Website: http://www.journals.elsevier.com/softwarex/

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Abstract

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