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[HTML][HTML] The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI

WH Thompson, P Fransson - Frontiers in human neuroscience, 2015 - frontiersin.org
When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …
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[PDF][PDF] The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI

WH Thompson, P Fransson - 2015 - Citeseer
When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …

[引用][C] The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI

WH Thompson, P Fransson - 2015 - philpapers.org
William H. Thompson & Peter Fransson, The mean–variance relationship reveals two possible
strategies for dynamic brain connectivity analysis in fMRI - PhilPapers Sign in | Create an …

The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI

WH Thompson, P Fransson - Frontiers in Human …, 2015 - search.proquest.com
When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …

The mean-variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI.

WH Thompson, P Fransson - Frontiers in Human Neuroscience, 2015 - europepmc.org
When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …
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[HTML][HTML] The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI

WH Thompson, P Fransson - Frontiers in Human Neuroscience, 2015 - ncbi.nlm.nih.gov
When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …
[PDF] researchgate.net

[PDF][PDF] The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI

WH Thompson, P Fransson - researchgate.net
When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …

The mean-variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI

WH Thompson, P Fransson - Frontiers in human …, 2015 - pubmed.ncbi.nlm.nih.gov
When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …
[PDF] core.ac.uk

[PDF][PDF] The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI

WH Thompson, P Fransson - core.ac.uk
When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …

The mean-variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI.

WH Thompson, P Fransson - Frontiers in Human Neuroscience, 2015 - europepmc.org
When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …