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Automated anatomical labelling atlas 3

Automated anatomical labelling atlas 3

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_548886940f7344d8afa4f719bc4721e0

Automated anatomical labelling atlas 3

About this item

Full title

Automated anatomical labelling atlas 3

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2020-02, Vol.206, p.116189-116189, Article 116189

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

Following a first version AAL of the automated anatomical labeling atlas (Tzourio-Mazoyer et al., 2002), a second version (AAL2) (Rolls et al., 2015) was developed that provided an alternative parcellation of the orbitofrontal cortex following the description provided by Chiavaras, Petrides, and colleagues. We now provide a third version, AAL3, which adds a number of brain areas not previously defined, but of interest in many neuroimaging investigations. The 26 new areas in the third version are subdivision of the anterior cingulate cortex into subgenual, pregenual and supracallosal parts; subdivision of the thalamus into 15 parts; the nucleus accumbens, substantia nigra, ventral tegmental area, red nucleus, locus coeruleus, and raphe nuclei. The new atlas is available as a toolbox for SPM, and can be used with MRIcron.
•The automated anatomical atlas 3 (AAL3) is described. The following new areas are added.•Subdivision of the anterior cingulate cortex into subgenual, pregenual and supracallosal parts.•Thalamus, nucleus accumbens, substantia nigra, ventral tegmental area, red nucleus.•Locus coeruleus, and raphe nuclei.•AAL3 is available as a toolbox for SPM at www.oxcns.org....

Alternative Titles

Full title

Automated anatomical labelling atlas 3

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_548886940f7344d8afa4f719bc4721e0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_548886940f7344d8afa4f719bc4721e0

Other Identifiers

ISSN

1053-8119,1095-9572

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2019.116189

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