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Automated Classification of Resting-State fMRI ICA Components Using a Deep Siamese Network
Manual classification of functional resting state networks (RSNs) derived from Independent Component Analysis (ICA) decomposition can be labor intensive and requires expertise, particularly in large multi-subject analyses. Hence, a fully automatic algorithm that can reliably classify these RSNs is d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971556/ https://www.ncbi.nlm.nih.gov/pubmed/35368292 http://dx.doi.org/10.3389/fnins.2022.768634 |