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

@article{Satterthwaite2017MotionAI,
  title={Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies.},
  author={Theodore D. Satterthwaite and Rastko Ciric and David R. Roalf and Christos Davatzikos and Danielle S. Bassett and Daniel H. Wolf},
  journal={Human brain mapping},
  year={2017}
}
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… CONTINUE READING

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