Neural correlates of mentalizing-related computations during strategic interactions in humans

Neural correlates of mentalizing-related computations during strategic interactions in humans
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DOI:
10.1073/pnas.0711099105
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发表时间:
2008-05-06
影响因子:
11.1
通讯作者:
O'Doherty, John P.
O'Doherty, John P.
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Hampton, Alan N.;Bossaerts, Peter;O'Doherty, John P.

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要想成功地与聪明的对手竞争,就需要有能力将对手的心理状态心理化,以预测他/她未来的行为。虽然我们对心智化过程中激活的大脑区域有很多了解,但迄今为止,这一功能是如何实现的问题却很少受到关注。在这里,我们制定了一个计算模型,描述了在游戏中的心智化能力。我们用功能性MRI扫描人类受试者,同时他们参加了一个简单的两人策略游戏,并将我们的模型与功能性MRI数据相关联。不同的模型组件捕获心智化网络不同部分的活动。虽然内侧前额叶皮层跟踪一个人的期望模型预测的影响程度,后上级颞沟被发现对应于一个影响更新信号,捕捉预期和实际施加的影响之间的差异。这些结果表明,心智化网络的不同部分对人类高阶策略的计算有着不可分割的贡献。
Competing successfully against an intelligent adversary requires the ability to mentalize an opponent's state of mind to anticipate his/her future behavior. Although much is known about what brain regions are activated during mentalizing, the question of how this function is implemented has received little attention to date. Here we formulated a computational model describing the capacity to mentalize in games. We scanned human subjects with functional MRI while they participated in a simple two-player strategy game and correlated our model against the functional MRI data. Different model components captured activity in distinct parts of the mentalizing network. While medial prefrontal cortex tracked an individual's expectations given the degree of model-predicted influence, posterior superior temporal sulcus was found to correspond to an influence update signal, capturing the difference between expected and actual influence exerted. These results suggest dissociable contributions of different parts of the mentalizing network to the computations underlying higher-order strategizing in humans.