Regression dynamic causal modeling for resting‐state fMRI
Regression dynamic causal modeling for resting‐state fMRI
About this item
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Author / Creator
Publisher
Hoboken, USA: John Wiley & Sons, Inc
Journal title
Language
English
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Publication information
Publisher
Hoboken, USA: John Wiley & Sons, Inc
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Scope and Contents
Contents
“Resting‐state” functional magnetic resonance imaging (rs‐fMRI) is widely used to study brain connectivity. So far, researchers have been restricted to measures of functional connectivity that are computationally efficient but undirected, or to effective connectivity estimates that are directed but limited to small networks. Here, we show that a me...
Alternative Titles
Full title
Regression dynamic causal modeling for resting‐state fMRI
Authors, Artists and Contributors
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8046067
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8046067
Other Identifiers
ISSN
1065-9471
E-ISSN
1097-0193
DOI
10.1002/hbm.25357
