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Hemodynamic matrix factorization for functional magnetic resonance imaging

Hemodynamic matrix factorization for functional magnetic resonance imaging

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8af174f180694b81879e32c687b32507

Hemodynamic matrix factorization for functional magnetic resonance imaging

About this item

Full title

Hemodynamic matrix factorization for functional magnetic resonance imaging

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2021-05, Vol.231, p.117814-117814, Article 117814

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

The General Linear Model (GLM) used in task-fMRI relates activated brain areas to extrinsic task conditions. The translation of resulting neural activation into a hemodynamic response is commonly approximated with a linear convolution model using a hemodynamic response function (HRF). There are two major limitations in GLM analysis. Firstly, the GL...

Alternative Titles

Full title

Hemodynamic matrix factorization for functional magnetic resonance imaging

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8af174f180694b81879e32c687b32507

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8af174f180694b81879e32c687b32507

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2021.117814

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