Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals

Individuals can be characterized in a population according to their brain measurements and activity, given the inter-subject variability in brain anatomy, structure-function relationships, or life experience. Many neuroimaging studies have demonstrated the potential of functional network connectivit...

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Detalles Bibliográficos
Autores principales: Hassanzadeh, Reihaneh, Silva, Rogers F., Abrol, Anees, Salman, Mustafa, Bonkhoff, Anna, Du, Yuhui, Fu, Zening, DeRamus, Thomas, Damaraju, Eswar, Baker, Bradley, Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782493/
https://www.ncbi.nlm.nih.gov/pubmed/35061657
http://dx.doi.org/10.1371/journal.pone.0249502

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782493/
https://www.ncbi.nlm.nih.gov/pubmed/35061657
http://dx.doi.org/10.1371/journal.pone.0249502

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