Brain networks, dimensionality, and global signal averaging in resting-state fMRI: Hierarchical network structure results in low-dimensional spatiotemporal dynamics

Brain networks, dimensionality, and global signal averaging in resting-state fMRI: Hierarchical network structure results in low-dimensional spatiotemporal dynamics

One of the most controversial practices in resting-state fMRI functional connectivity studies is whether or not to regress out the global average brain signal (GS) during artifact removal. Some groups have argued that it is absolutely essential to regress out the GS in order to fully remove head mot...

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Bibliographic Details
Main Authors: Stephen J. Gotts, Adrian W. Gilmore, Alex Martin
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:NeuroImage
Subjects:
Dimensionality
Brain networks
Global signal
Hierarchy
Preprocessing
Artifacts
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919308808

Internet

http://www.sciencedirect.com/science/article/pii/S1053811919308808

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