Bioelectrical brain activity can predict prosocial behavior
Mikhail Kunavin, Tatiana Kozitsina (Babkina), Mikhail Myagkov, Irina, Kozhevnikova, Mikhail Pankov, Ludmila Sokolova

TL;DR
This study shows that EEG brain activity patterns can predict prosocial versus proself behavior in social dilemmas, with socialization influencing these neural signatures.
Contribution
It identifies specific EEG spectral patterns associated with prosocial and proself decisions and demonstrates how socialization modifies these neural correlates.
Findings
Increased beta rhythm in orbital prefrontal cortex correlates with noncooperative decisions.
Theta and alpha rhythms are linked to cooperative choices.
Socialization alters spectral density patterns, influencing cooperation levels.
Abstract
Generally, people behave in social dilemmas such as proself and prosocial. However, inside social groups, people have a tendency to choose prosocial alternatives due to in-group favoritism. The bioelectrical activity of the human brain shows the differences between proself and prosocial exist even out of a socialized group. Moreover, a group socialization strengthens these differences. We used EEG System, "Neuron-Spectrum-4/EPM" (16 channels), to track the brain bioelectrical activity during decision making in laboratory experiments with the Prisoner's dilemma game and the short-term socialization stage. We compared the spatial distribution of the spectral density during the different experimental parts. The noncooperative decision was characterized by the increased values of spectral the beta rhythm in the orbital regions of prefrontal cortex. The cooperative choice, on the contrary,…
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Taxonomy
TopicsNeuroendocrine regulation and behavior · Olfactory and Sensory Function Studies · Evolutionary Psychology and Human Behavior
