Towards a consensus regarding global signal regression for resting state functional connectivity MRI

Murphy, Kevin ORCID: https://orcid.org/0000-0002-6516-313X and Fox, Michael D. 2017. Towards a consensus regarding global signal regression for resting state functional connectivity MRI. NeuroImage 154 , pp. 169-173. 10.1016/j.neuroimage.2016.11.052

Preview

PDF - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (210kB) | Preview

Abstract

The number of resting state functional connectivity MRI studies continues to expand at a rapid rate along with the options for data processing. Of the processing options, few have generated as much controversy as global signal regression and the subsequent observation of negative correlations (anti-correlations). This debate has motivated new processing strategies and advancement in the field, but has also generated significant confusion and contradictory guidelines. In this article, we work towards a consensus regarding global signal regression. We highlight several points of agreement including the fact that there is not a single “right” way to process resting state data that reveals the “true” nature of the brain. Although further work is needed, different processing approaches likely reveal complementary insights about the brain's functional organisation.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Physics and Astronomy Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
Subjects:	R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Publisher:	Elsevier
ISSN:	1053-8119
Funders:	Wellcome Trust
Date of First Compliant Deposit:	29 November 2016
Date of Acceptance:	21 November 2016
Last Modified:	05 May 2023 22:30
URI:	https://orca.cardiff.ac.uk/id/eprint/96485

Citation Data

Cited 431 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item