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A topography-based predictive framework for naturalistic viewing fMRI

A topography-based predictive framework for naturalistic viewing fMRI

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_179211bbebe445c895ce7ac171170bf3

A topography-based predictive framework for naturalistic viewing fMRI

About this item

Full title

A topography-based predictive framework for naturalistic viewing fMRI

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2023-08, Vol.277, p.120245-120245, Article 120245

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

•We proposed a simple approach for studying individual differences on NV fMRI data.•The proposed approach characterises individuals’ evoked activity topographies.•Activity topographies outperform functional connectivity in behaviour prediction.•The learned prediction models offer promising interpretability.
Functional magnetic resonance imaging...

Alternative Titles

Full title

A topography-based predictive framework for naturalistic viewing fMRI

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_179211bbebe445c895ce7ac171170bf3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_179211bbebe445c895ce7ac171170bf3

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2023.120245

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