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A whole‐brain modeling approach to identify individual and group variations in functional connectivi...

A whole‐brain modeling approach to identify individual and group variations in functional connectivi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fa7deb9e05624f778920c1ef3b1375f9

A whole‐brain modeling approach to identify individual and group variations in functional connectivity

About this item

Full title

A whole‐brain modeling approach to identify individual and group variations in functional connectivity

Publisher

United States: John Wiley & Sons, Inc

Journal title

Brain and behavior, 2021-01, Vol.11 (1), p.e01942-n/a

Language

English

Formats

Publication information

Publisher

United States: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Resting‐state functional connectivity is an important and widely used measure of individual and group differences. Yet, extant statistical methods are limited to linking covariates with variations in functional connectivity across subjects, especially at the voxel‐wise level of the whole brain. This paper introduces a modeling approach that regress...

Alternative Titles

Full title

A whole‐brain modeling approach to identify individual and group variations in functional connectivity

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fa7deb9e05624f778920c1ef3b1375f9

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fa7deb9e05624f778920c1ef3b1375f9

Other Identifiers

ISSN

2162-3279

E-ISSN

2162-3279

DOI

10.1002/brb3.1942

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