Title :
Independent component analysis of fMRI data: Detection of the working memory network
Author :
Nico, Giovanni ; Vispo, Damiano ; Taurisano, Paolo ; Blasi, Giuseppe ; Popolizio, Teresa ; Bertolino, Alessandro
Author_Institution :
Ist. per le Applicazioni del Calcolo (IAC), Consiglio Naz. delle Ric. (CNR), Bari, Italy
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.
Keywords :
biomedical MRI; brain; diseases; independent component analysis; medical image processing; neurophysiology; brain activation patterns; fMRI data; functional magnetic resonance imaging; independent component analysis; independent patterns; normal controls; schizophrenia; signal decomposition; working memory network; Brain; Independent component analysis; Magnetic resonance imaging; Memory management; Physiology; Psychiatry; Independent Component Analysis (ICA); Magnetic Resonance Imaging (MRI); functional MRI (fMRI);
Conference_Titel :
Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
Conference_Location :
Bari
Print_ISBN :
978-1-4244-9336-4
DOI :
10.1109/MeMeA.2011.5966709
