Functional networks for processing complex images: towards a better understanding of spatio-temporal dynamics of pleasant and unpleasant emotions

FERNANDO DANIEL FARFÁN; MARIA DOLORES MURCIA GRIMA; VICENTE CARUANA; MARÍA J ORTIZ; M.A. LOPEZ-GORDO; ANGELA BERNABEU-ARAOZ; JOSE MANUEL FERRANDEZ; EDUARDO FERNANDEZ

Piriapolis

Congreso; XXII Congreso Argentino De Bioingenieria y XI Jornadas De Ingenieria Clinica; 2020

Sociedad Argentina de Bioingeniería

An unresolved issue in the study of emotions concerns their underlying spatial and temporal dynamics. Although in recent years there have been many progress in neuroimaging studies, little is known about the temporal dynamics and the brain networks involved in the perception of basic emotions. Here we propose that one way to get insight into this question is to establish simple models and technologies that can help to better understand the neural signatures of basic emotions. We emphasize the relevance of combining different techniques such as functional magnetic resonance imaging (fMRI) that has a fine spatial resolution and electroencephalography (EEG), which has an excellent temporal resolution, to get good spatial and temporal resolution (with millisecond-range resolution). Furthermore, we propose to include specific measures of connectivity to quantify brain networks at different levels.