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A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI

A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6711459

A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI

About this item

Full title

A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2019-10, Vol.200, p.174-190

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

Dynamic Causal Modelling (DCM) is the predominant method for inferring effective connectivity from neuroimaging data. In the 15 years since its introduction, the neural models and statistical routines in DCM have developed in parallel, driven by the needs of researchers in cognitive and clinical neuroscience. In this guide, we step through an exemp...

Alternative Titles

Full title

A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6711459

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6711459

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2019.06.031

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