Locally Linear Embedding and fMRI Feature Selection in Psychiatric Classification

Background: Functional magnetic resonance imaging (fMRI) provides non-invasive measures of neuronal activity using an endogenous Blood Oxygenation-Level Dependent (BOLD) contrast. This article introduces a nonlinear dimensionality reduction (Locally Linear Embedding) to extract informative measures...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6726465/
https://www.ncbi.nlm.nih.gov/pubmed/31497410
http://dx.doi.org/10.1109/JTEHM.2019.2936348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6726465/
https://www.ncbi.nlm.nih.gov/pubmed/31497410
http://dx.doi.org/10.1109/JTEHM.2019.2936348

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