Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment

Various machine-learning classification techniques have been employed previously to classify brain states in healthy and disease populations using functional magnetic resonance imaging (fMRI). These methods generally use supervised classifiers that are sensitive to outliers and require labeling of t...

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Detalles Bibliográficos
Autores principales: Rangaprakash, D., Odemuyiwa, Toluwanimi, Narayana Dutt, D., Deshpande, Gopikrishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691406/
https://www.ncbi.nlm.nih.gov/pubmed/33242116
http://dx.doi.org/10.1186/s40708-020-00120-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691406/
https://www.ncbi.nlm.nih.gov/pubmed/33242116
http://dx.doi.org/10.1186/s40708-020-00120-2

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