A Novel Model-Free Data Analysis Technique Based on Clustering in a Mutual Information Space: Application to Resting-State fMRI

Non-parametric data-driven analysis techniques can be used to study datasets with few assumptions about the data and underlying experiment. Variations of independent component analysis (ICA) have been the methods mostly used on fMRI data, e.g., in finding resting-state networks thought to reflect th...

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Detalles Bibliográficos
Autores principales: Benjaminsson, Simon, Fransson, Peter, Lansner, Anders
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2922939/
https://www.ncbi.nlm.nih.gov/pubmed/20721313
http://dx.doi.org/10.3389/fnsys.2010.00034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2922939/
https://www.ncbi.nlm.nih.gov/pubmed/20721313
http://dx.doi.org/10.3389/fnsys.2010.00034

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