Emotions play a fundamental role in modulating brain activity and influencing perception, cognition, and action. However, the underlying connectivity mechanisms associated with different emotional states remain poorly understood. The objective of this study is to investigate human brain connectivity in response to emotional stimuli of happiness, anger, sadness, fear, and neutral stimuli, using electroencephalogram (EEG) technology. Eight healthy young adults participated in the study and were exposed to 500 stimuli from the International Affective Picture System (IAPS), with 100 stimuli selected for each emotion. Brain activity was monitored using a 16-channel EEG cap, covering the occipital, parietal, temporal, frontal, and prefrontal regions. Data preprocessing and analysis were performed using the MNE, Statsmodels and SciPy libraries in Python, and the extracted features included phase, coherence, and directionality. The results demonstrate the dynamics of brain activity and connectivity in response to each set of emotional stimuli. These findings emphasize the importance of analyzing brain connectivity to unravel how different emotions modulate neural networks, contributing to a better understanding of critical brain states in emotional contexts.
Contact: Cintia Ricaele Ferreira da Silva, cintia.silva@edu.isd.org.br
Federal Universety of Rio Grande do Norte
Additional Authors:
Marcus Vinicius Costa Alves, Federal University of Rio Grande do Norte, marcus.alves@ufrn.br; Maria José Nunes Gadelha, Federal Universety of Rio Grande do Norte, maria.gadelha@ufrn.br; Edgard Morya, Edmond and Lily Safra International Neuroscience Institute, edgard.morya@isd.org.br