Construction of embedded fMRI resting-state functional connectivity networks using manifold learning

We construct embedded functional connectivity networks (FCN) from benchmark resting-state functional magnetic resonance imaging (rsfMRI) data acquired from patients with schizophrenia and healthy controls based on linear and nonlinear manifold learning algorithms, namely, Multidimensional Scaling, I...

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Detalles Bibliográficos
Autores principales: Gallos, Ioannis K., Galaris, Evangelos, Siettos, Constantinos I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286923/
https://www.ncbi.nlm.nih.gov/pubmed/34367362
http://dx.doi.org/10.1007/s11571-020-09645-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286923/
https://www.ncbi.nlm.nih.gov/pubmed/34367362
http://dx.doi.org/10.1007/s11571-020-09645-y

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