Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem

Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem

One of the most controversial procedures in the analysis of resting-state functional magnetic resonance imaging (rsfMRI) data is global signal regression (GSR): the removal, via linear regression, of the mean signal averaged over the entire brain. On one hand, the global mean signal contains varianc...

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Bibliographic Details
Main Authors: Kevin M. Aquino, Ben D. Fulcher, Linden Parkes, Kristina Sabaroedin, Alex Fornito
Format: Article
Language:English
Published: Elsevier 2020-05-01
Series:NeuroImage
Subjects:
Resting-state
fMRI
Global signal regression
Denoising
GSR
Head motion
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920301014

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http://www.sciencedirect.com/science/article/pii/S1053811920301014

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