Visual perception; Electroencephalography (EEG); Granger causality; Cognition; Electrophysiology; Functional connectivity; Dynamics; Networks
Pagnotta Mattia F., Plomp Gijs, Pascucci David (2019), A regularized and smoothed General Linear Kalman Filter for more accurate estimation of time-varying directed connectivity *, in
2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMB, Berlin, Germany2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMB, Berlin, Germany.
Rubega M., Pascucci D., Queralt J. Rue, Van Mierlo P., Hagmann P., Plomp G., Michel C.M (2019), Time-varying effective EEG source connectivity: the optimization of model parameters *, in
2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMB, Berlin, Germany2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMB, Berlin, Germany.
The primary function of visual perception is to inform cognition and action. But how vision and its interrelated aspects arise from quickly coordinated activity in multiple brain areas is not well understood. This project uses a dynamic network approach that combines EEG source-imaging, fMRI and Granger-causal modeling to study directed interactions between brain areas in vision with high temporal resolution. Three lines of research are proposed: one for investigating the dynamic interactions underlying visual function in humans, a second for the systematic evaluation of connectivity methods, and a third for identifying the elementary cortical mechanisms underlying visual processing in animal models. The cross-disciplinary approach is expected to link psychological theories to elementary mechanisms and to provide a better understanding of vision and its function for the organism.