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Dissecting the social brain: Introducing the EmpaToM to reveal distinct neural networks and brain-behavior relations for empathy and Theory of Mind

机译:剖析社交大脑:介绍EmpaToM以揭示独特的神经网络和同理和心理理论的脑行为关系

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Successful social interactions require both affect sharing (empathy) and understanding others' mental states (Theory of Mind, ToM). As these two functions have mostly been investigated in isolation, the specificity of the underlying neural networks and the relation of these networks to the respective behavioral indices could not be tested. Here, we present a novel fMRI paradigm (EmpaToM) that independently manipulates both empathy and ToM. Experiments 1a/b (N = 90) validated the task with established empathy and ToM paradigms on a behavioral and neural level. Experiment 2 (N = 178) employed the EmpaToM and revealed clearly separable neural networks including anterior insula for empathy and ventral temporoparietal junction for ToM. These distinct networks could be replicated in task-free resting state functional connectivity. Importantly, brain activity in these two networks specifically predicted the respective behavioral indices, that is, inter-individual differences in ToM related brain activity predicted inter-individual differences in ToM performance, but not empathic responding, and vice versa. Taken together, the validated EmpaToM allows separation of affective and cognitive routes to understanding others. It may thus benefit future clinical, developmental, and intervention studies on identifying selective impairments and improvement in specific components of social cognition. (C) 2015 Elsevier Inc. All rights reserved.
机译:成功的社交互动需要影响共享(同理心)和理解他人的心理状态(心智理论,ToM)。由于这两个功能大多是单独研究的,因此无法测试基础神经网络的特异性以及这些网络与相应行为指标的关系。在这里,我们提出了一种新颖的fMRI范例(EmpaToM),该范例可以独立操纵同理心和ToM。实验1a / b(N = 90)在行为和神经水平上以建立的同理心和ToM范式验证了任务。实验2(N = 178)使用了EmpaToM,并揭示了明显可分离的神经网络,包括用于感觉移情的前岛和用于ToM的腹颞颞交界处。这些独特的网络可以在无任务的静止状态功能连接中进行复制。重要的是,这两个网络中的大脑活动专门预测了各自的行为指标,也就是说,ToM相关大脑活动的个体间差异预测了ToM性能的个体差异,但移情反应却没有,反之亦然。总而言之,经过验证的EmpaToM可以分离情感和认知途径来理解他人。因此,它可能有益于未来的临床,发育和干预研究,以发现选择性损伤和社会认知特定组成部分的改善。 (C)2015 Elsevier Inc.保留所有权利。

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