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

SJ Gotts, AW Gilmore, A Martin - NeuroImage, 2020 - Elsevier
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 …

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

SJ Gotts, AW Gilmore, A Martin - NeuroImage, 2020 - pubmed.ncbi.nlm.nih.gov
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 …

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

SJ Gotts, AW Gilmore, A Martin - NeuroImage, 2020 - ncbi.nlm.nih.gov
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 …

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

SJ Gotts, AW Gilmore, A Martin - Neuroimage, 2019 - europepmc.org
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 …

[PDF][PDF] NIMH, NIH

SJ Gotts, AW Gilmore, A Martin - scholar.archive.org
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 …

[引用][C] Brain networks, dimensionality, and global signal averaging in resting-state fMRI: Hierarchical network structure results in low-dimensional spatiotemporal …

SJ Gotts, AW Gilmore, A Martin - NeuroImage, 2020 - cir.nii.ac.jp
Brain networks, dimensionality, and global signal averaging in resting-state fMRI: Hierarchical
network structure results in low-dimensional spatiotemporal dynamics | CiNii Research CiNii …

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

SJ Gotts, AW Gilmore, A Martin - NeuroImage, 2020 - gilmorememorylab.com
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 …

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

SJ Gotts, AW Gilmore, A Martin - NeuroImage, 2020 - researchgate.net
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 …

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

SJ Gotts, AW Gilmore, A Martin - bioRxiv, 2017 - biorxiv.org
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 …

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

SJ Gotts, AW Gilmore, A Martin - 2017 - europepmc.org
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 …