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

fYear

2011

fDate

30-31 May 2011

Firstpage

225

Lastpage

229

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);

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on

Conference_Location

Bari

Print_ISBN

978-1-4244-9336-4

Type

conf

DOI

10.1109/MeMeA.2011.5966709

Filename

5966709