Cargando…
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...
Autores principales: | Hiwa, Satoru, Obuchi, Shogo, Hiroyasu, Tomoyuki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
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 |
Ejemplares similares
-
Functional near‐infrared spectroscopy study of the neural correlates between auditory environments and intellectual work performance
por: Hiwa, Satoru, et al.
Publicado: (2018) -
A Functional NIRS Study of Brain Functional Networks Induced by Social Time Coordination
por: Mizuno, Megumi, et al.
Publicado: (2019) -
Elastic net-based prediction of IFN-β treatment response of patients with multiple sclerosis using time series microarray gene expression profiles
por: Fukushima, Arika, et al.
Publicado: (2019) -
Bayesian approach for predicting responses to therapy from high-dimensional time-course gene expression profiles
por: Fukushima, Arika, et al.
Publicado: (2021) -
Auditory selective attention under working memory load
por: Bayramova, Rena, et al.
Publicado: (2020)