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

• DOI: 10.1016/j.neuroimage.2021.118838
• Publication Date: 2021-12-20T17:27:11Z
• Authors: Sydney Kaplan; Dominique Meyer; Oscar Miranda-Dom...; Anders Perrone; Eric Earl; Dimitrios Alexopo...; 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. Sm...
• Keywords: Artifact (error); Toddler

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 factitious rhythmic induced by respiration. In adults, such respiration artifact can be effectively removed applying a notch filter to the trace, resulting higher amounts retained after frame censoring (e.g., "scrubbing") and more reliable correlation values. Due unique physiological behavioral characteristics infants toddlers, rs-fMRI pipelines, including methods identify remove colored noise due must appropriately modified accurately reflect true neuronal signal. These younger cohorts are characterized rates lower-amplitude movements than adults; thus, presence significance comparable respiratory subsequent necessity similar techniques remain unknown. Herein, we characterize consistent collected during natural sleep toddlers across two independent (aged 8–24 months) analyzed using different pipelines. We further demonstrate how removing this an age-specific allows for both improved quality retention measured results. Importantly, work reveals critical need address respiratory-driven fMRI acquired young populations through use filters mechanism optimize accuracy results population.