Format

Send to

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

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

Author information

1
Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
2
Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
3
Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania.
4
Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania.

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.

KEYWORDS:

MRI; artifact; connectomics; functional connectivity; motion

PMID:
29091315
PMCID:
PMC5930165
[Available on 2020-05-01]
DOI:
10.1002/hbm.23665

Supplemental Content

Full text links

Icon for Wiley
Loading ...
Support Center