Suppr超能文献

人类顶内沟对人脸和场景识别的类别选择性。

Category Selectivity for Face and Scene Recognition in Human Medial Parietal Cortex.

机构信息

Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX 77030, USA; Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX 77030, USA; Memorial Hermann Hospital, Texas Medical Center, Houston, TX 77030, USA.

出版信息

Curr Biol. 2020 Jul 20;30(14):2707-2715.e3. doi: 10.1016/j.cub.2020.05.018. Epub 2020 Jun 4.

Abstract

The rapid recognition and memory of faces and scenes implies the engagement of category-specific computational hubs in the ventral visual stream with the distributed cortical memory network. To better understand how recognition and identification occur in humans, we performed direct intracranial recordings, in a large cohort of patients (n = 50), from the medial parietal cortex (MPC) and the medial temporal lobe (MTL), structures known to be engaged during face and scene identification. We discovered that the MPC is topologically tuned to face and scene recognition, with clusters in MPC performing scene recognition bilaterally and face recognition in right subparietal sulcus. The MTL displayed a selectivity gradient with anterior, entorhinal cortex showing face selectivity and posterior parahippocampal regions showing scene selectivity. In both MPC and MTL, stimulus-specific identifiable exemplars led to greater activity in these cortical patches. These two regions work in concert for recognition of faces and scenes. Feature selectivity and identity-sensitive activity in the two regions was coincident, and they exhibited theta-phase locking during face and scene recognition. These findings together provide clear evidence for a specific role of subregions in the MPC for the recognition of unique entities.

摘要

面孔和场景的快速识别和记忆意味着腹侧视觉流中的特定类别计算中枢与分布式皮质记忆网络的参与。为了更好地理解人类如何进行识别和识别,我们对来自内侧顶叶皮层 (MPC) 和内侧颞叶 (MTL) 的大量患者 (n=50) 进行了直接颅内记录,这些结构已知在面孔和场景识别过程中被激活。我们发现 MPC 在拓扑上对面孔和场景识别进行了调整,MPC 中的聚类在双侧进行场景识别,而右顶下沟进行面孔识别。MTL 显示出选择性梯度,前扣带回皮层显示出面孔选择性,后海马旁回区域显示出场景选择性。在 MPC 和 MTL 中,刺激特异性可识别的范例导致这些皮质斑块的活性增加。这两个区域协同工作,对面孔和场景进行识别。两个区域的特征选择性和身份敏感活动是一致的,它们在面孔和场景识别过程中表现出θ相位锁定。这些发现为 MPC 中的特定亚区在识别独特实体中的特定作用提供了明确的证据。

相似文献

6
Content representation in the human medial temporal lobe.人类大脑颞叶中的内容表示。
Cereb Cortex. 2013 Jan;23(1):80-96. doi: 10.1093/cercor/bhr379. Epub 2012 Jan 23.
8
The anterior fusiform gyrus: The ghost in the cortical face machine.额下回前梭状回:皮质面孔机器中的幽灵。
Neurosci Biobehav Rev. 2024 Mar;158:105535. doi: 10.1016/j.neubiorev.2024.105535. Epub 2024 Jan 6.

引用本文的文献

本文引用的文献

2
Multimodal mapping of the face connectome.面部连接组的多模态映射。
Nat Hum Behav. 2020 Apr;4(4):397-411. doi: 10.1038/s41562-019-0811-3. Epub 2020 Jan 27.
4
Stimulation of the Posterior Cingulate Cortex Impairs Episodic Memory Encoding.后扣带皮层的刺激会损害情景记忆的编码。
J Neurosci. 2019 Sep 4;39(36):7173-7182. doi: 10.1523/JNEUROSCI.0698-19.2019. Epub 2019 Jul 29.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验