Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm

Working memory (WM) load-dependent changes of functional connectivity networks have previously been investigated by graph theoretical analysis. However, the extraordinary number of nodes represented within the complex network of the human brain has hindered the identification of functional regions a...

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Detalles Bibliográficos
Autores principales: Hiwa, Satoru, Obuchi, Shogo, Hiroyasu, Tomoyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5914150/
https://www.ncbi.nlm.nih.gov/pubmed/29849548
http://dx.doi.org/10.1155/2018/4835676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5914150/
https://www.ncbi.nlm.nih.gov/pubmed/29849548
http://dx.doi.org/10.1155/2018/4835676

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