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涉及人工手自我归因的神经网络:损伤网络-症状映射研究。

The neuronal network involved in self-attribution of an artificial hand: A lesion network-symptom-mapping study.

机构信息

Department of Neurology, University of Leipzig, Liebigstraße 20, Leipzig, Germany.

Department of Neurology, University of Leipzig, Liebigstraße 20, Leipzig, Germany.

出版信息

Neuroimage. 2018 Feb 1;166:317-324. doi: 10.1016/j.neuroimage.2017.11.011. Epub 2017 Nov 6.

Abstract

The feeling of body-ownership can be experimentally manipulated using the rubber hand illusion (RHI) paradigm. Participants experience a sense of ownership over an artificial hand when their hidden real hand and the visible artificial hand are synchronously stroked. Using lesion masks and behavioral data from a previous study on RHI failure in acute stroke patients, we here employed lesion network-symptom-mapping (LNSM) based on normative functional connectome data to identify lesion-dependent network connectivity related to the experience of self-attribution of an artificial hand in the RHI paradigm. We found that failure to experience the RHI was associated with higher normative lesion-dependent network connectivity to the right temporoparietal junction (rTPJ), right anterior Insula (raI) and right inferior frontal gyrus (rIFG). Since these areas were spared by the infarction in most patients with RHI failure (89% for rTPJ and 94% for raI/rIFG), the analysis suggests that remote dysfunction in rTPJ, raI, and rIFG accounted for RHI failure. These results highlight the potential role of rTPJ, raI, and rIFG in bodily self-consciousness. LNSM is a powerful tool capable of delineating the architecture of functional networks underlying complex cognitive function.

摘要

躯体所有权的感觉可以通过使用橡胶手错觉(RHI)范式来进行实验性操纵。当参与者隐藏的真实手和可见的人造手被同步抚摸时,他们会对手工产生一种所有权的感觉。利用病灶掩模和之前关于急性中风患者 RHI 失败的研究中的行为数据,我们在这里使用基于规范功能连接组数据的病灶网络-症状映射(LNSM)来识别与 RHI 范式中对手工进行自我归因的经验相关的病灶依赖性网络连接。我们发现,无法体验 RHI 与右颞顶联合区(rTPJ)、右前岛叶(raI)和右额下回(rIFG)的正常病灶依赖性网络连接更高有关。由于在大多数 RHI 失败患者中,这些区域没有被梗死累及(rTPJ 为 89%,raI/rIFG 为 94%),因此分析表明,rTPJ、raI 和 rIFG 的远程功能障碍导致了 RHI 失败。这些结果突出了 rTPJ、raI 和 rIFG 在身体自我意识中的潜在作用。LNSM 是一种强大的工具,能够描绘出支持复杂认知功能的功能网络的结构。

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