Filtering respiratory motion artifact from resting state fMRI data in infant and toddler populations

Filtering respiratory motion artifact from resting state fMRI data in infant and toddler populations

The importance of motion correction when processing resting state functional magnetic resonance imaging (rs-fMRI) data is well-established in adult cohorts. This includes adjustments based on self-limited, large amplitude subject head motion, as well as factitious rhythmic motion induced by respirat...

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Bibliographic Details
Main Authors: Sydney Kaplan, Dominique Meyer, Oscar Miranda-Dominguez, Anders Perrone, Eric Earl, Dimitrios Alexopoulos, Deanna M. Barch, Trevor K.M. Day, Joseph Dust, Adam T. Eggebrecht, Eric Feczko, Omid Kardan, Jeanette K. Kenley, Cynthia E. Rogers, Muriah D. Wheelock, Essa Yacoub, Monica Rosenberg, Jed T. Elison, Damien A. Fair, Christopher D. Smyser
Format: Article
Language:English
Published: Elsevier 2022-02-01
Series:NeuroImage
Subjects:
Resting-state fMRI
Respiratory filtering
Neurodevelopment
Neuroimaging, infant
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921011095

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http://www.sciencedirect.com/science/article/pii/S1053811921011095

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