分布式内活动是人类决策行为的基础.
Jacqueline A Overton1,2, Karen A Moxon3, Matthew P Stickle3
1Department of Neuroscience, UC Davis, Davis, California 95616.
概括
大脑中的高频神经活动代表了决策过程中风险和胜利概率等计算. 这种活动分布广泛,揭示了在经济选择过程中大脑的奖励处理.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 神经经济学 神经经济学
背景情况:
- 基于价值的决策涉及分布式大脑网络,但经济选择的神经生理基础尚未完全理解.
- 奖励导向选择和相关计算 (例如风险,获胜概率) 在大脑区域的表现仍然在很大程度上未被探索.
研究的目的:
- 调查奖励选择和相关计算在高频神经活动 (HFA) 中表现的假设.
- 为了确定这种神经活动是否局部化或在人类大脑中广泛分布.
主要方法:
- 在决策游戏中,从神经外科患者获得了内录音.
- 记录跨越了多个皮质 (轨道前额,侧面前额,头顶,带) 和皮质下 (海马,杏仁体) 区域.
- 分析的重点是高频活动 (HFA) 以及它与与选择相关的计算和最终选择的相关性.
主要成果:
- 高频活动 (HFA) 不同地表示与选择相关的计算和选择信息.
- 选择计算 (风险,胜利概率) 显示了大脑区域的局部和不均的代表性.
- 选择信息得到了广泛的分发,在所有被检查的地区出现的时间较晚,并且更普遍.
结论:
- 经济选择背后的神经活动在大脑中广泛分布.
- 当地HFA反映了选择相关信息的整合到最终决策中.
- 研究结果揭示了整个大脑的奖励处理和经济决策的分布式神经基础.
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