In this work the multivariate technique called Multiset Canonical Correlation Analysis (M-CCA) is applied to study a group of functional Magnetic Resonance Imaging (fMRI) datasets acquired during a set of working memory (WM) tasks. The examined subjects are a small group of schizophrenic patients and an equal number of controls (healthy subjects). The purpose of the paper is to show that M-CCA is able to identify specific areas of the brain network that can be related with the sources of activity during the WM task. It is also shown that the different degree of activation between the two groups allows to discriminate between Controls and Patients and then provides a promising way for a pre-screening classification of successive dataset. This result can contribute, in future, to populate a database of specific brain activation areas of mental disorders

Functional brain networks and schizophrenia analysis with fMRI by Multiset Canonical Correlation Analysis

GUCCIONE, Pietro;
2013

Abstract

In this work the multivariate technique called Multiset Canonical Correlation Analysis (M-CCA) is applied to study a group of functional Magnetic Resonance Imaging (fMRI) datasets acquired during a set of working memory (WM) tasks. The examined subjects are a small group of schizophrenic patients and an equal number of controls (healthy subjects). The purpose of the paper is to show that M-CCA is able to identify specific areas of the brain network that can be related with the sources of activity during the WM task. It is also shown that the different degree of activation between the two groups allows to discriminate between Controls and Patients and then provides a promising way for a pre-screening classification of successive dataset. This result can contribute, in future, to populate a database of specific brain activation areas of mental disorders
2nd International Conference on Advances in Biomedical Engineering, ICABME 2013
978-1-4799-0249-1
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11589/16457
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact