Redes funcionales corticales involucradas en el procesamiento de imágenes complejas: hacia una mejor compresión de la dinámica espacio temporal de las emociones agradables y desagradables

FARFÁN FD; GRIMA MD; CANO LA; PIZÁ AG; SOLETTA JH; LUCIANNA FA; ALBARRACIN ANA LIA; FERNANDEZ E

Jornada; XIV Jornadas de Ciencia y Tecnología de Facultades de Ingeniería del NOA; 2019

Emotion plays an important role in human?human communication and interaction. Emotion theorists have long held that a fundamental characteristic of an emotion is how its constituent processes change and interact over time. Assessing these temporal dynamics of emotion in the brain is critical for understanding the neural representation of emotions as well as advancing theories of emotional processing. In this study, an experimental protocol, based on EEG and graph theory, is proposed to reveal the spatio-temporal dynamics of brain activity associated to emotions. Complex pictures derived from the International Affective Picture System (IAPS) were presented to each experimental subject while an EEG (64 recording channels at a sampling rate of 1000 Hz) was recorded. The functional connectivity was established by using Directed Tranfer Funcion (DTF), and the clustering coefficient for quantifying these functional networks was purposed. Our preliminary results show specific clusterings and significant lateralization in parietal areas between 50 and 500 ms after of emotional image presentation.