Biological motion coding in the brain: analysis of visually driven EEG functional networks.
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.
Laboratorio de Investigación en Neurociencia, Departamento de Matemática y Ciencias,Universidad de San Andrés, Buenos Aires, Argentina ; CONICET, Buenos Aires, Argentina.
Daniel
D
Fraiman
Laboratório de Neurobiologia II, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal de Rio de Janeiro, Rio de Janeiro, Brasil ; Instituto de Ciências Biológicas, Universidade Federal do Pará, Belem, Brasil.
Ghislain
G
Saunier
Laboratório de Neurobiologia II, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal de Rio de Janeiro, Rio de Janeiro, Brasil.
Eduardo F
EF
Martins
Laboratório de Neurobiologia II, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal de Rio de Janeiro, Rio de Janeiro, Brasil.
Claudia D
CD
Vargas
D000328:Adult; D001921:Brain / Q000502:physiology*; D003071:Cognition; D004569:Electroencephalography; D006801:Humans; D008124:Locomotion; D009039:Motion Perception / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology*