EEG functional networks in motor processing during visual stimuli

D. FRAIMAN; G. SAUNIER; E. MARTINS; T. LEMOS; ÇC. VARGAS

Congreso; SFN 2013; 2013

We herein address the time evolution of brain functional networks computed from electroencephalographic activity driven by visual stimuli. We describe how these functional network signatures change in fast scale when confronted to point light display stimuli depicting biological (BM) as opposed to scrambled motion (SM) in two different conditions. Whereas global network measures (average path length, average clustering coefficient and average betweenness) computed as a function of time did not discriminate BM from SM, local node properties did so. Contrasting BM vs. SM network local measures we found higher degree and betweenness values in the left frontal (F7) electrode, as well as higher clustering coefficient in the right occipital (O2) electrode for the SM condition. Conversely, for the BM condition we found higher degree values in central parietal (Pz) and clustering coefficient in the left parietal (P3) electrodes. These results add on the understanding of cortical networks enrolled in the coding of biological motion. Thus, functional network approach is of mathematical election for studying brain function in the time scale of cognitive processing, allowing a new level of understanding of the complex phenomena associated with brain function.