Consistent Estimation of Dimensionality for Data-Driven Methods in fMRI Analysis

Data-driven methods, such as principal component analysis and independentcomponent analysis, have been successfully applied to functionalmagnetic resonance imaging (fMRI) data in particular and neuro-imaging data in general. A central issue of thesemethods is the importance of correctly selecting th...

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Veröffentlicht in:	IEEE transactions on medical imaging 2019-02, Vol.38 (2), p.493-503
Hauptverfasser:	Seghouane, Abd-Krim, Shokouhi, Navid
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytical models Brain - diagnostic imaging Computer simulation Consistency Covariance matrices Covariance matrix Criteria Data analysis Data models Data processing Economic models Eigenvalues Eigenvalues and eigenfunctions fMRI Functional magnetic resonance imaging Goodness of fit Humans ICA Image Processing, Computer-Assisted Magnetic resonance imaging Magnetic Resonance Imaging - methods model selection criteria Models, Statistical Principal Component Analysis Principal components analysis
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