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A covariate-constraint method to map brain feature space into lower dimensional manifolds

A covariate-constraint method to map brain feature space into lower dimensional manifolds

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_mit_journals_10_1162_netn_a_00176

A covariate-constraint method to map brain feature space into lower dimensional manifolds

About this item

Full title

A covariate-constraint method to map brain feature space into lower dimensional manifolds

Publisher

One Rogers Street, Cambridge, MA 02142-1209, USA: MIT Press

Journal title

Network neuroscience (Cambridge, Mass.), 2021-03, Vol.5 (1), p.252-273

Language

English

Formats

Publication information

Publisher

One Rogers Street, Cambridge, MA 02142-1209, USA: MIT Press

More information

Scope and Contents

Contents

Human brain connectome studies aim to both explore healthy brains, and extract and
analyze relevant features associated with pathologies of interest. Usually this consists
of modeling the brain connectome as a graph and using graph metrics as features. A fine
brain description requires graph metrics computation at the node level. Given the...

Alternative Titles

Full title

A covariate-constraint method to map brain feature space into lower dimensional manifolds

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_mit_journals_10_1162_netn_a_00176

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_mit_journals_10_1162_netn_a_00176

Other Identifiers

ISSN

2472-1751

E-ISSN

2472-1751

DOI

10.1162/netn_a_00176

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