休息状态网络预测了在最后通游戏期间提议者的决策行为
Yuqin Li1,2, Qian Yang1,2, Yuxin Liu2
1The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China.
Journal of neural engineering
|September 2, 2023
概括
休息状态的大脑连接,特别是三角洲带中的前额和前额网络,会影响提出者在经济决策中的行为. 这种连接可以预测最后通游戏中的风险决策.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 经济学 经济学 经济学
背景情况:
- 了解提议者决策对于社会资源管理至关重要.
- 提出者行为的神经认知基础,特别是静止状态网络,仍然在很大程度上未被探索.
研究的目的:
- 研究休息状态大脑网络与提出者决策之间的联系.
- 在最后通游戏中开发一个对不公平的报价率的预测模型.
主要方法:
- 在三角波段中检查了静止状态的功能连接.
- 分析了与提出者行为相关的网络属性.
- 建立了一个多变量模型来预测不公平的报价率.
主要成果:
- 不公平的报价率与静止状态的正面头和正面头连接 (三角带) 有显著的相关性.
- 承担风险的决策小组表现出更强大的远程静止状态网络联系.
- 一个预测模型准确估计了提议者不公平的报价率 (r=0.466).
结论:
- 特定前线网络中的静止状态连接可能表明处置性冒险行为.
- 这种神经连接可以预测复杂的决策,告知AI发展.
- 这些发现有助于理解经济决策的生物基础.
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