The goal of this study is to investigate the possibility of analyzing spatio-temporal organization of the human cortical activity during different complex tasks, by means of fMRI. To evidence cortical areas synchronization we propose a computational approach based on a self-organizing neural networks ('neural gas') that detects time-dependent alterations in the regional intensity of the functional signal. Results of the application of such approach are reported and are compared with the results obtained with a standard statistical package (SPM96). Future experimental investigations will be aimed at the analysis of spatio-temporal structures of cortical activity in pathological conditions, such as epilepsy.
Can the synchronization of cortical areas be evidenced by fMRI? / F. Frisone, P. Vitali, G. Iannò, M. Marongiu, P.G Morasso, A. Pilot, G. Rodriguez, M. Rosa, F. Sardanelli. - In: NEUROCOMPUTING. - ISSN 0925-2312. - 26/27(1999), pp. 1019-1024.
Can the synchronization of cortical areas be evidenced by fMRI?
P. Vitali;F. SardanelliUltimo
1999
Abstract
The goal of this study is to investigate the possibility of analyzing spatio-temporal organization of the human cortical activity during different complex tasks, by means of fMRI. To evidence cortical areas synchronization we propose a computational approach based on a self-organizing neural networks ('neural gas') that detects time-dependent alterations in the regional intensity of the functional signal. Results of the application of such approach are reported and are compared with the results obtained with a standard statistical package (SPM96). Future experimental investigations will be aimed at the analysis of spatio-temporal structures of cortical activity in pathological conditions, such as epilepsy.Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.