努力投资中成本效益权衡的神经基础:定量激活概率估计元分析
Nathaniel Edgar1,2, Kevin da Silva Castanheira3, Gary R Turner1
1Department of Psychology, York University, North York, Canada.
Cognitive, affective & behavioral neuroscience
|February 13, 2026
概括
认知努力的决策涉及到奖励-任务需求权衡. 中间前额皮层 (mPFC) 和前带皮层 (dACC) 显示了奖励和需求的独特活动模式,将它们整合起来以指导努力投资.
科学领域:
- 认知神经科学 认知神经科学
- 决策科学 决策科学 决策科学
- 神经成像是一种神经成像.
背景情况:
- 基于认知努力的决策理论提出了成本效益的权衡.
- 中间前额叶皮层 (mPFC),特别是背部前带带皮层 (dACC),与努力分配有关.
- 目前仍有争议,mPFC/dACC活动是否独立追踪奖励和任务需求,或是整合它们.
研究的目的:
- 系统地对奖励导向认知控制的神经成像研究进行元分析.
- 调查mPFC/dACC如何处理和整合有关潜在奖励和任务需求的信息.
- 为了测试dACC在精神劳动分配中调解成本效益权衡的假设.
主要方法:
- 45项神经成像研究的系统元分析.
- 激活概率估计 (ALE) 方法用于量化大脑活动.
- 分析的重点是研究奖励导向认知控制中的选择和任务性能 (N = 1,273 名参与者).
主要成果:
- 显著招募mPFC/dACC,布塔门和前部岛屿来处理奖励和任务需求.
- 解剖学上不同的mPFC/dACC集群:尾部mPFC/dACC跟踪任务需求,而面部mPFC/dACC跟踪奖励.
- 大量mPFC/dACC活动集成奖励和任务需求信号,与成本效益权衡理论相一致.
结论:
- 该mPFC/dACC表现出独特的神经信号,用于心理需求和奖励.
- 这些信号被整合到尾部mPFC/dACC中,以反映整体成本效益分析.
- 这种整合支持了决定投资精神努力的基础上的神经机制.
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