Removal of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity

Authors

• Caterina Gratton, Northwestern University
• Ally Dworetsky, Washington University School of Medicine in St. Louis
• Rebecca S Coalson, Washington University School of Medicine in St. Louis
• Babatunde Adeyemo, Washington University School of Medicine in St. Louis
• Timothy O Laumann, Washington University School of Medicine in St. Louis
• Deanna M Barch, Washington University School of Medicine in St. Louis
• Nico U F Dosenbach, Washington University School of Medicine in St. Louis
• Abraham Z Snyder, Washington University School of Medicine in St. Louis
• Joel S Perlmutter, Washington University School of Medicine in St. Louis
• Steven E Petersen, Washington University School of Medicine in St. Louis
• Meghan C Campbell, Washington University School of Medicine in St. Louis
• et al.

Journal

NeuroImage

Publication Date

8-15-2020

Volume

217

First Page

116866

Document Type

Open Access Publication

DOI

10.1016/j.neuroimage.2020.116866

Rights and Permissions

Gratton C, Dworetsky A, Coalson RS, Adeyemo B, Laumann TO, Wig GS, Kong TS, Gratton G, Fabiani M, Barch DM, Tranel D, Miranda-Dominguez O, Fair DA, Dosenbach NUF, Snyder AZ, Perlmutter JS, Petersen SE, Campbell MC. Removal of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity. Neuroimage. 2020 Aug 15;217:116866. doi: 10.1016/j.neuroimage.2020.116866. © 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync- nd/4.0/).

Recommended Citation

Gratton, Caterina; Dworetsky, Ally; Coalson, Rebecca S; Adeyemo, Babatunde; Laumann, Timothy O; Barch, Deanna M; Dosenbach, Nico U F; Snyder, Abraham Z; Perlmutter, Joel S; Petersen, Steven E; Campbell, Meghan C; and et al., "Removal of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity." NeuroImage. 217, 116866 (2020).
https://digitalcommons.wustl.edu/oa_4/7070

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.