Department of Cognitive Psychology, University of La Laguna, Tenerife, Spain.
Neuropsychologia. 2012 Dec;50(14):3663-72. doi: 10.1016/j.neuropsychologia.2012.09.004. Epub 2012 Sep 10.
Counterfactual statements such as if Mary had cleaned the room, she would have moved the sofa convey both actual and hypothetical actions, namely, that Mary did not clean the room or move the sofa, but she would have done so in some possible past situation. Such statements are ubiquitous in daily life and are involved in critical cognitive activities like decision-making and evaluation of alternative outcomes. Here, we investigate the brain mechanisms and the nature of the semantic representations involved in understanding the complex meaning of counterfactual statements. We used fMRI to examine brain responses to counterfactual statements describing actions of high and low physical effort and compared them to similar factual statements describing the same actions. Results indicated that the inferior parietal lobule, known to support planning of object-directed actions, responded more strongly to high-effort than low-effort statements. Moreover, counterfactual statements, compared to factual ones, recruited a distinctive neural network partially overlapping with action execution networks. This network included medial pre-motor and pre-frontal structures, which underpin selection and inhibition of alternative action representations, and parahippocampal and temporal regions, involved in retrieving episodic memories. We argue that counterfactual comprehension recruit action-related networks encoding and managing alternative representations of behaviors.
反事实陈述,如“如果玛丽打扫了房间,她就会移动沙发”,既传达了实际的行动,也传达了假设的行动,即玛丽没有打扫房间或移动沙发,但她本可以在某些可能的过去情况下这样做。这种陈述在日常生活中无处不在,并且涉及到关键的认知活动,如决策和评估替代结果。在这里,我们研究了理解反事实陈述复杂含义所涉及的大脑机制和语义表示的性质。我们使用 fMRI 来检查大脑对描述高、低体力活动的反事实陈述的反应,并将其与描述相同动作的类似事实陈述进行比较。结果表明,已知支持物体定向动作规划的下顶叶回对高努力程度的陈述反应比低努力程度的陈述更强烈。此外,与事实陈述相比,反事实陈述会招募一个独特的神经网络,该网络与动作执行网络部分重叠。这个网络包括内侧运动前区和前额叶结构,这些结构支持替代动作表示的选择和抑制,以及参与检索情景记忆的海马旁回和颞叶区域。我们认为,反事实理解会招募与行为相关的网络,这些网络用于编码和管理行为的替代表示。