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

Category Selectivity for Face and Scene Recognition in Human Medial Parietal Cortex.
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DOI:
10.1016/j.cub.2020.05.018
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发表时间:
2020-07-20
期刊:
影响因子:
9.2
通讯作者:
Tandon, Nitin
Tandon, Nitin
中科院分区:
生物学1区
文献类型:
--
作者:
Woolnough, Oscar;Rollo, Patrick S.;Forseth, Kiefer J.;Kadipasaoglu, Cihan M.;Ekstrom, Arne D.;Tandon, Nitin

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对面孔和场景的快速识别和记忆意味着腹侧视觉流中的类别特定计算中枢与分布式皮层记忆网络的接合。为了更好地理解人类的识别和识别是如何发生的,我们在一个大的患者队列(n = 50)中进行了直接的颅内记录,来自内侧顶叶皮层(MPC)和内侧颞叶(MTL),这些结构已知在面部和场景识别过程中参与。我们发现,MPC是拓扑调整到面部和场景识别,MPC中的集群执行场景识别双边和面部识别在右侧顶下沟。MTL显示出选择性梯度,前内嗅皮层显示出面部选择性,后海马旁区域显示出场景选择性。在MPC和MTL,刺激特定的可识别的范例导致更大的活动,在这些皮层补丁。这两个区域协同工作以识别面部和场景。两个区域的特征选择性和身份敏感性活动是一致的,它们在人脸和场景识别过程中表现出θ相位锁定。这些研究结果共同提供了明确的证据,证明次区域在货币政策委员会中对确认独特实体的具体作用。
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.
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