Biological Motion Coding in the Brain: Analysis of Visually Driven EEG Functional NetworksReport as inadecuate




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Herein, we 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 with point-light display stimuli depicting biological motion BM as opposed to scrambled motion SM. Whereas global network measures average path length, average clustering coefficient, and average betweenness computed as a function of time did not discriminate between BM and SM, local node properties did. Comparing the network local measures of the BM condition with those of the SM condition, we found higher degree and betweenness values in the left frontal F7 electrode, as well as a 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 electrode and a higher clustering coefficient in the left parietal P3 electrode. These results are discussed in the context of the brain networks involved in encoding BM versus SM.



Author: Daniel Fraiman, Ghislain Saunier, Eduardo F. Martins, Claudia D. Vargas

Source: http://plos.srce.hr/



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