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

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...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaodi, Maltbie, Eric A., Keilholz, Shella D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637345/
https://www.ncbi.nlm.nih.gov/pubmed/34607021
http://dx.doi.org/10.1016/j.neuroimage.2021.118588

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637345/
https://www.ncbi.nlm.nih.gov/pubmed/34607021
http://dx.doi.org/10.1016/j.neuroimage.2021.118588

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