Parkinson's disease is characterized by sub-second resting-state spatio-oscillatory patterns: A contribution from deep convolutional neural network

Deep convolutional neural network (DCNN) provides a multivariate framework to detect relevant spatio-oscillatory patterns in the data beyond common mass-univariate statistics. Yet, its practical application is limited due to the low interpretability of the results beyond accuracy. We opted to use DC...

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Detalles Bibliográficos
Autores principales: Shabanpour, Mehran, Kaboodvand, Neda, Iravani, Behzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723309/
https://www.ncbi.nlm.nih.gov/pubmed/36451369
http://dx.doi.org/10.1016/j.nicl.2022.103266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723309/
https://www.ncbi.nlm.nih.gov/pubmed/36451369
http://dx.doi.org/10.1016/j.nicl.2022.103266

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