We study fNMRI signals of spontaneous neural activity in human brain, with a time resolution of 1 sec and a spatial resolution corresponding to about 5000 voxels. Our aim is the characterization of the topological architecture of the resting brain by the methods of complex networks, at different temporal and spatial scales. We characterize the time correlation structures at different time windows, showing a non trivial multi-scaling, and the resulting network obtained for different correlation thresholding values. The effective connectivity network, obtained by Granger causality analysis, is also characterized for the resting brain, and compared with those resulting from Transfer entropy. Our results show a highly organized modular architecture and associated topological properties of the human brain even in the absence of specific stimuli or behaviors.
Remondini D., Stramaglia S., Liao W., Castellani G., Marinazzo D. (2011). Exploring brain dynamics complexity by fNMRi. CAMBRIDGE MA : Sayama H., Minai A., Braha D., Bar Yam Y..
Exploring brain dynamics complexity by fNMRi
REMONDINI, DANIEL;CASTELLANI, GASTONE;
2011
Abstract
We study fNMRI signals of spontaneous neural activity in human brain, with a time resolution of 1 sec and a spatial resolution corresponding to about 5000 voxels. Our aim is the characterization of the topological architecture of the resting brain by the methods of complex networks, at different temporal and spatial scales. We characterize the time correlation structures at different time windows, showing a non trivial multi-scaling, and the resulting network obtained for different correlation thresholding values. The effective connectivity network, obtained by Granger causality analysis, is also characterized for the resting brain, and compared with those resulting from Transfer entropy. Our results show a highly organized modular architecture and associated topological properties of the human brain even in the absence of specific stimuli or behaviors.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
