Accounting for motion in resting-state fMRI: What part of the spectrum are we characterizing in autism spectrum disorder?

ABSTRACT: The exclusion of high-motion participants can reduce the impact of motion in functional Magnetic Resonance Imaging (fMRI) data. However, the exclusion of high-motion participants may change the distribution of clinically relevant variables in the study sample, and the resulting sample may not be representative of the population. Our goals are two-fold: 1) to document the biases introduced by common motion exclusion practices in functional connectivity research and 2) to introduce a framework to address these biases by treating excluded scans as a missing data problem. We use a study of autism spectrum disorder in children without an intellectual disability to illustrate the problem and the potential solution. We aggregated data from 545 children (8-13 years old) who participated in resting

SUBMITTER: Nebel MB 

PROVIDER: S-EPMC9233079 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature