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

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

Abstract 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 labe...

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Bibliographic Details
Main Authors: D. Rangaprakash, Toluwanimi Odemuyiwa, D. Narayana Dutt, Gopikrishna Deshpande, Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:Brain Informatics
Subjects:
Functional MRI
Brain networks and dynamic connectivity
Cognitive impairment and alzheimer’s disease
Unsupervised learning and clustering
DBSCAN
OPTICS
Online Access:http://link.springer.com/article/10.1186/s40708-020-00120-2

Internet

http://link.springer.com/article/10.1186/s40708-020-00120-2

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