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Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connec...

Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connec...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1849657635

Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints

About this item

Full title

Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2016-11, Vol.12 (11), p.e1005203-e1005203

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Quantifying differences or similarities in connectomes has been a challenge due to the immense complexity of global brain networks. Here we introduce a noninvasive method that uses diffusion MRI to characterize whole-brain white matter architecture as a single local connectome fingerprint that allows for a direct comparison between structural conne...

Alternative Titles

Full title

Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1849657635

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1849657635

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1005203

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