A method is presented to process functional Magnetic Resonance Imaging (fMRI) data to detect the activation of the working memory network in patients affected by schizophrenia and normal controls. The method is based on the Independent Component Analysis (ICA) and allows to decompose the fMRI signal into statistically independent patterns which could correspond to different brain activation patterns. © 2011 IEEE.
Independent component analysis of fMRI data: Detection of the working memory network
Giovanni Nico;Paolo Taurisano;Giuseppe Blasi;Alessandro Bertolino
2011-01-01
Abstract
A method is presented to process functional Magnetic Resonance Imaging (fMRI) data to detect the activation of the working memory network in patients affected by schizophrenia and normal controls. The method is based on the Independent Component Analysis (ICA) and allows to decompose the fMRI signal into statistically independent patterns which could correspond to different brain activation patterns. © 2011 IEEE.File in questo prodotto:
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