How　to　quickly　predict　an　individual＇s　behavioral　choices　is　an　important　issue　in　the　field　of　human　behavior　research.　Using　noninvasive　electroencephalography,　we　aimed　to　identify　neural　markers　in　the　prior　outcome-evaluation　stage　and　the　current　option-assessment　stage　of　the　chicken　game　that　predict　an　individual＇s　behavioral　choices　in　the　subsequent　decision-output　stage.　Hierarchical　linear　modeling-based　brain-behavior　association　analyses　revealed　that　midfrontal　theta　oscillation　in　the　prior　outcome-evaluation　stage　positively　predicted　subsequent　aggressive　choices;　also,　beta　oscillation　in　the　current　option-assessment　stage　positively　predicted　subsequent　cooperative　choices.　These　findings　provide　electrophysiological　evidence　for　the　three-stage　theory　of　decision-making　and　strengthen　the　feasibility　of　predicting　an　individual＇s　behavioral　choices　using　neural　oscillations.