Parallel Factorization to Implement Group Analysis in Brain Networks Estimation

When dealing with complex functional brain networks, group analysis still represents an open issue. In this paper, we investigated the potential of an innovative approach based on PARAllel FActorization (PARAFAC) for the extraction of the grand average connectivity matrices from both simulated and r...

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Detalles Bibliográficos
Autores principales: Ranieri, Andrea, Pichiorri, Floriana, Colamarino, Emma, de Seta, Valeria, Mattia, Donatella, Toppi, Jlenia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920099/
https://www.ncbi.nlm.nih.gov/pubmed/36772731
http://dx.doi.org/10.3390/s23031693

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920099/
https://www.ncbi.nlm.nih.gov/pubmed/36772731
http://dx.doi.org/10.3390/s23031693

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