Cross-modal representations of first-hand and vicarious pain, disgust and fairness in insular and cingulate cortex.
Cross-modal representations of first-hand and vicarious pain, disgust and fairness in insular and cingulate cortex.
复制标题
DOI：
10.1038/ncomms10904
复制
发表时间：
2016-03-18
影响因子：
16.6
通讯作者：
Singer T
中科院分区：
文献类型：
--
作者：
Corradi-Dell'Acqua C;Tusche A;Vuilleumier P;Singer T
前脑岛(AI)和中前扣带回皮质(MACC)多次被牵连到疼痛、厌恶和不公平的第一手和替代体验中。然而，这些区域是否通过共同的通道无关的编码来处理不同的厌恶事件，反映了共同的不愉快经历，还是通过独立的通道特有的表征，仍存在争议。使用功能性磁共振成像，我们让19名参与者(和19名同盟者)接受同样令人不快的痛苦和恶心的刺激，以及不公平的金钱待遇。多体素模式分析在左侧AI和MACC中发现了非通道激活图，指出了情感不愉快的共同编码，但也指出了事件的感觉属性和它针对的人的特定反应模式，特别是在右侧AI。我们的结果为人工智能和MACC中的功能特化和整合提供了证据，并支持该网络在处理自我和他人的厌恶体验方面的综合作用。前脑岛(AI)和内侧扣带前皮质(MACC)由自我和替代的疼痛、厌恶和公平所激活，但这些表征的重叠尚不清楚。在这里，作者提供了左侧AI和MACC中共享的神经编码以及右侧AI中不同的编码的证据。
The anterior insula (AI) and mid-anterior cingulate cortex (mACC) have repeatedly been implicated in first-hand and vicarious experiences of pain, disgust and unfairness. However, it is debated whether these regions process different aversive events through a common modality-independent code, reflecting the shared unpleasantness of the experiences or through independent modality-specific representations. Using functional magnetic resonance imaging, we subjected 19 participants (and 19 confederates) to equally unpleasant painful and disgusting stimulations, as well as unfair monetary treatments. Multivoxel pattern analysis identified modality-independent activation maps in the left AI and mACC, pointing to common coding of affective unpleasantness, but also response patterns specific for the events' sensory properties and the person to whom it was addressed, particularly in the right AI. Our results provide evidence of both functional specialization and integration within AI and mACC, and support a comprehensive role of this network in processing aversive experiences for self and others. Anterior insula (AI) and medial anterior cingulate cortex (mACC) are activated by self and vicarious pain, disgust and fairness, yet the overlap of these representations are not known. Here the authors provide evidence for shared neural codes in the left AI and mACC and distinct codes in the right AI.