Spatiotemporal Trajectories in Resting-state FMRI Revealed by Convolutional Variational Autoencoder
Spatiotemporal Trajectories in Resting-state FMRI Revealed by Convolutional Variational Autoencoder
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Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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English
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Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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Abstract Recent resting-state fMRI studies have shown that brain activity exhibits temporal variations in functional connectivity by using various approaches including sliding window correlation, co-activation patterns, independent component analysis, quasi-periodic patterns, and hidden Markov models. These methods often model the brain activity as...
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Spatiotemporal Trajectories in Resting-state FMRI Revealed by Convolutional Variational Autoencoder
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TN_cdi_proquest_journals_2505700589
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2505700589
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E-ISSN
2692-8205
DOI
10.1101/2021.01.25.427841
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https://www.proquest.com/docview/2505700589?pq-origsite=primo&accountid=13902
