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; Alexis Ganesh

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
, Alexis Ganesh

Kinesiology

Research output: Contribution to journal › Article › peer-review

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 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.

Original language	English
Journal	Unknown journal
Volume	12
State	Published - 2020

Cite this

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title = "Graphical interface for automated management of motion artifact within fMRI acquisitions: INFOBAR",

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 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.",

author = "Manish Anand and Diekfuss, \{Jed A\} and Slutsky-Ganesh, \{Alexis B\} and Scott Bonnette and Grooms, \{Dustin R\} and Myer, \{Gregory D\} and Alexis Ganesh",

year = "2020",

language = "English",

volume = "12",

journal = "Unknown journal",

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TY - JOUR

T1 - Graphical interface for automated management of motion artifact within fMRI acquisitions: INFOBAR

AU - Anand, Manish

AU - Diekfuss, Jed A

AU - Slutsky-Ganesh, Alexis B

AU - Bonnette, Scott

AU - Grooms, Dustin R

AU - Myer, Gregory D

AU - Ganesh, Alexis

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

M3 - Article

VL - 12

JO - Unknown journal

JF - Unknown journal

ER -

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

Abstract

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