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人脸识别。

Face Recognition.

机构信息

Department of Neurology, University of Arizona, 1501. N. Campbell Ave., Tucson, AZ, 85721, USA.

出版信息

Curr Neurol Neurosci Rep. 2019 May 30;19(7):41. doi: 10.1007/s11910-019-0960-9.

Abstract

PURPOSE OF REVIEW

Functional imaging studies, intracranial recordings, and lesion-deficit correlations in neurological patients have produced unique insights into the cognitive mechanisms and neural substrates of face recognition. In this review, we highlight recent advances in the field and integrate data from these complementary lines of research to propose a functional neuroanatomical model of face identity recognition.

RECENT FINDINGS

Rather than being localized to a single specialized cortical region, face recognition is supported by a distributed neural network. Core components of the network include face-selective visual areas in the ventral occipito-temporal cortex, whereas the extended network is comprised of anterior temporal lobe structures involved in the retrieval of multimodal identity-specific knowledge about familiar individuals, the amygdala responsible for generating emotional responses to faces, and prefrontal regions that provide top-down executive control of the recognition process. Damage to different network components results in neuropsychological disorders of face identity processing manifested either as impaired recognition of familiar faces (prosopagnosia, person recognition disorders) or as false recognition/misidentification of unfamiliar faces. Face identity recognition requires the coordinated activity of a large-scale neural network. Neurological damage can compromise the structural/functional integrity of specific network nodes or their connections and give rise to face recognition disorders with distinct clinical features and underlying cognitive mechanisms determined primarily by the location of the lesion.

摘要

目的综述

神经科患者的功能影像学研究、颅内记录和损伤-缺陷相关性研究,为我们深入了解面孔识别的认知机制和神经基础提供了独特的视角。在这篇综述中,我们重点介绍了该领域的最新进展,并整合了这些互补研究的数据,提出了一个面孔身份识别的功能性神经解剖模型。

最近的发现

面孔识别不是局限于单一的特定皮质区域,而是由一个分布式神经网络支持的。该网络的核心组成部分包括腹侧枕颞叶皮质中的面孔选择性视觉区域,而扩展网络则由参与检索有关熟悉个体的多模态身份特定知识的颞叶前部结构、对面孔产生情绪反应的杏仁核以及提供识别过程的自上而下的执行控制的前额叶区域组成。不同网络成分的损伤会导致面孔身份加工的神经心理学障碍,表现为对熟悉面孔的识别受损(面孔失认症、个体识别障碍)或对不熟悉面孔的错误识别/错误识别。面孔身份识别需要一个大规模神经网络的协调活动。神经损伤会损害特定网络节点或其连接的结构/功能完整性,导致具有不同临床特征和潜在认知机制的面孔识别障碍,这些障碍主要由损伤部位决定。

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