The goal of this study is to investigate the possibility of analyzing spati
o-temporal organization of the human cortical activity during different com
plex tasks, by means of fMRI. To evidence cortical areas synchronization we
propose a computational approach based on a self-organizing neural network
s ("neural gas") that detects time-dependent alterations in the regional in
tensity of the functional signal. Results of the application of such approa
ch are reported and are compared with the results obtained with a standard
statistical package (SPM96). Future experimental investigations will be aim
ed at the analysis of spatio-temporal structures of cortical activity in pa
thological conditions, such as epilepsy. (C) 1999 Published by Elsevier Sci
ence B.V. All rights reserved.