School of Psychology, Beijing Normal University, Beijing, 100875, China.
Department of Mathematics, University of Illinois Urbana-Champaign, Urbana, 61801, USA.
Neurosci Bull. 2022 Mar;38(3):275-289. doi: 10.1007/s12264-021-00777-7. Epub 2021 Oct 10.
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.
如何快速预测个体的行为选择是人类行为研究领域的一个重要问题。本研究使用非侵入性的脑电技术，旨在识别鸡游戏的前结果评估阶段和当前选项评估阶段的神经标记，以预测个体在随后的决策输出阶段的行为选择。基于分层线性模型的脑-行为关联分析表明，前结果评估阶段的额中线theta 振荡正预测随后的攻击性行为选择；而当前选项评估阶段的 beta 振荡正预测随后的合作性行为选择。这些发现为决策的三阶段理论提供了电生理学证据，并增强了使用神经振荡预测个体行为选择的可行性。
