主动与基于计算机的被动决策导致结果评估的差异:来自自我报告的情绪体验和大脑活动的证据
Ruiwen Tao1,2, Can Zhang3, Hanxuan Zhao1,2
1Center for Magnetic Resonance Imaging Research & Shanghai Key Laboratory of Brain-Machine Intelligence for Information Behavior, Shanghai International Studies University, Shanghai 20083, China.
Cerebral cortex (New York, N.Y. : 1991)
|September 9, 2023
概括
与被动模式相比,主动决策在结果评估期间增强了认知努力和情绪反应. 这会影响个人如何处理收益和损失,尤其是在积极选择时.
科学领域:
- 神经科学是一个神经科学.
- 认知心理学 认知心理学
- 决策科学 决策科学 决策科学
背景情况:
- 个人往往更喜欢积极的决策,而不是被动的基于计算机的模式,报告了更大的情感参与.
- 决策模式对结果评估的基础神经过程的影响尚不清楚.
研究的目的:
- 通过使用事件相关潜力 (ERP) 来研究主动和被动决策模式之间的结果评估中的神经差异.
- 探索如何认知努力和情感经验是由决策模式调节在一张牌博任务.
主要方法:
- 采用卡牌博任务来比较主动与基于计算机的被动决策.
- 利用与事件相关的潜力 (ERP),特别是与反相关的消极性 (FRN) 和P300组件,来分析神经反应.
- 收集了对认知努力和情感感受的主观评分.
主要成果:
- 积极的决策导致了比被动模式更高的主观认知力度和更强烈的情感感受.
- 对于收到的结果,在主动决策中观察到更大的P300幅度.
- 活动模式显示,对于未选择的负反,反相关消极性 (d-FRN) 的差异波形更大,表明相对价值的处理更高.
- 在主动模式下收到损失的P300振幅部分介导了主观认知努力和负面情绪评级之间的联系.
结论:
- 决策模式显著影响结果评估,影响认知力度和情感体验.
- 神经反应,特别是P300和FRN,在主动和被动模式之间存在差异,反映了对反和选择的不同处理.
- 研究结果强调了考虑决策背景的重要性,以了解奖励和损失处理的神经相关性.
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