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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
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 |
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