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

ABSTRACT: 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 respiration. In adults, such respiration artifact can be effectively removed by applying a notch filter to the motion trace, resulting in higher amounts of data retained after frame censoring (e.g., "scrubbing") and more reliable correlation values. Due to the unique physiological and behavioral characteristics of infants and toddlers, rs-fMRI processing pipelines, including methods to identify and remove colored noise due to subject motion, must be appropriately modified to accurately reflect true neur

SUBMITTER: Kaplan S 

PROVIDER: S-EPMC8803544 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature