Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies

Hum Brain Mapp. 2019 May;40(7):2033-2051. doi: 10.1002/hbm.23665. Epub 2017 Nov 1.

Abstract

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 article, we describe how motion-related artifacts influence measures of functional connectivity and discuss the relative strengths and weaknesses of commonly used denoising strategies. Furthermore, we illustrate how motion can bias inference, using a study of brain development as an example. Finally, we highlight directions of ongoing and future research, and provide recommendations for investigators in the field. Hum Brain Mapp, 40:2033-2051, 2019. © 2017 Wiley Periodicals, Inc.

Keywords: MRI; artifact; connectomics; functional connectivity; motion.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Artifacts*
  • Brain / diagnostic imaging*
  • Brain / physiology
  • Brain Mapping / methods*
  • Brain Mapping / standards
  • Head Movements / physiology
  • Humans
  • Magnetic Resonance Imaging / methods*
  • Magnetic Resonance Imaging / standards
  • Motion*
  • Nerve Net / diagnostic imaging*
  • Nerve Net / physiology