Evaluation of denoising strategies to address motion-correlated artifacts in resting-state functional magnetic resonance imaging data from the human connectome roject

Authors

Gregory C. Burgess, Washington University School of Medicine in St. Louis
Sridhar Kandala, Washington University School of Medicine in St. Louis
Dan Nolan, Washington University School of Medicine in St. Louis
Timothy O. Laumann, Washington University School of Medicine in St. Louis
Jonathan D. Power, National Institute of Mental Health
Babatunde Adeyemo, Washington University School of Medicine in St. Louis
Michael P. Harms, Washington University School of Medicine in St. Louis
Steven E. Petersen, Washington University School of Medicine in St. Louis
Deanna M. Barch, Washington University School of Medicine in St. Louis

Journal

Brain Connectivity

Publication Date

2016

Volume

6

Issue

9

Inclusive Pages

669-680

Document Type

Open Access Publication

DOI

10.1089/brain.2016.0435

Rights and Permissions

Burgess Gregory C., Kandala Sridhar, Nolan Dan, Laumann Timothy O., Power Jonathan D., Adeyemo Babatunde, Harms Michael P., Petersen Steven E., and Barch Deanna M.. Brain Connectivity. November 2016, 6(9): 669-680. https://doi.org/10.1089/brain.2016.0435. This is a copy of an article published in Brain Connectivity © 2016 © Mary Ann Liebert, Inc.; Brain Connectivity is available online at: http://online.liebertpub.com.

Recommended Citation

Burgess, Gregory C.; Kandala, Sridhar; Nolan, Dan; Laumann, Timothy O.; Power, Jonathan D.; Adeyemo, Babatunde; Harms, Michael P.; Petersen, Steven E.; and Barch, Deanna M., "Evaluation of denoising strategies to address motion-correlated artifacts in resting-state functional magnetic resonance imaging data from the human connectome roject." Brain Connectivity. 6, 9. 669-680. (2016).
https://digitalcommons.wustl.edu/open_access_pubs/6299