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Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder

Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_377f8a112b684125aee1619f07727389

Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder

About this item

Full title

Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2021-12, Vol.244, p.118588-118588, Article 118588

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

•Variational autoencoder reveals characteristic spatiotemporal trajectories in rs-fMRI.•The trajectories are the building blocks for all spatiotemporal dynamics in rs-fMRI.•The trajectories were clustered into several groups based on spatial configurations.•The spatial groups agree with known networks and functional connectivity gradients.•The meth...

Alternative Titles

Full title

Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_377f8a112b684125aee1619f07727389

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_377f8a112b684125aee1619f07727389

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2021.118588

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