Talk 2: Motion artifact in resting state functional connectivity: Discovery, mitigation Strategies, and implications for developmental neuroimaging
Motion artifacts are now recognized as a major methodological challenge for studies of functional connectivity. As in-scanner motion is frequently correlated with variables of interest such as age, clinical status, cognitive ability, and symptom severity, in-scanner motion has the potential to introduce systematic bias. In this presentation, I will describe how motion-related artifacts influence measures of functional connectivity, and discuss the relative strengths and weaknesses of commonly used de-noising strategies. Further, I will illustrate how motion can bias inference in studies of brain development, and highlight next steps for research.