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分析室:PPA 和 RSC 在感知物体关系和空间布局中的作用。

Parsing rooms: the role of the PPA and RSC in perceiving object relations and spatial layout.

机构信息

Department of Psychology, University of Northumbria, Ellison Pl., Newcastle upon Tyne, NE1 8ST, UK.

Department of Neuroradiology, University of Tübingen, Tübingen, Germany.

出版信息

Brain Struct Funct. 2019 Sep;224(7):2505-2524. doi: 10.1007/s00429-019-01901-0. Epub 2019 Jul 17.

DOI:10.1007/s00429-019-01901-0
PMID:31317256
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6698272/
Abstract

The perception of a scene involves grasping the global space of the scene, usually called the spatial layout, as well as the objects in the scene and the relations between them. The main brain areas involved in scene perception, the parahippocampal place area (PPA) and retrosplenial cortex (RSC), are supposed to mostly support the processing of spatial layout. Here we manipulated the objects and their relations either by arranging objects within rooms in a common way or by scattering them randomly. The rooms were then varied for spatial layout by keeping or removing the walls of the room, a typical layout manipulation. We then combined a visual search paradigm, where participants actively search for an object within the room, with multivariate pattern analysis (MVPA). Both left and right PPA were sensitive to the layout properties, but the right PPA was also sensitive to the object relations even when the information about objects and their relations is used in the cross-categorization procedure on novel stimuli. The left and right RSC were sensitive to both spatial layout and object relations, but could only use the information about object relations for cross-categorization to novel stimuli. These effects were restricted to the PPA and RSC, as other control brain areas did not display the same pattern of results. Our results underline the importance of employing paradigms that require participants to explicitly retrieve domain-specific processes and indicate that objects and their relations are processed in the scene areas to a larger extent than previously assumed.

摘要

场景感知涉及到对场景全局空间的把握,通常称为空间布局,以及场景中的物体及其之间的关系。参与场景感知的主要大脑区域,即旁海马体位置区域(PPA)和后扣带皮层(RSC),主要支持空间布局的处理。在这里,我们通过以常见的方式在房间内排列物体或随机散布物体来操纵物体及其关系。然后通过保留或移除房间的墙壁来改变房间的空间布局,这是一种典型的布局操作。然后,我们将视觉搜索范式与多元模式分析(MVPA)结合起来,参与者在房间内主动搜索物体。左右 PPA 都对布局属性敏感,但右 PPA 即使在使用关于物体及其关系的信息进行跨分类程序对新刺激时也对物体关系敏感。左 RSC 和右 RSC 对空间布局和物体关系都敏感,但只能使用关于物体关系的信息进行跨分类到新刺激。这些效应仅限于 PPA 和 RSC,因为其他控制大脑区域没有显示出相同的结果模式。我们的研究结果强调了在需要参与者明确检索特定领域过程的范式中的重要性,并表明物体及其关系在场景区域中被处理的程度比以前假设的要大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/5288f30f19ef/429_2019_1901_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/bb3592acb24a/429_2019_1901_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/dadeeceb0c64/429_2019_1901_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/1247a54f589e/429_2019_1901_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/36bed67770e8/429_2019_1901_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/531d2b512e34/429_2019_1901_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/e2976b46410c/429_2019_1901_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/010bcde0bcdb/429_2019_1901_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/5288f30f19ef/429_2019_1901_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/bb3592acb24a/429_2019_1901_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/dadeeceb0c64/429_2019_1901_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/1247a54f589e/429_2019_1901_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/36bed67770e8/429_2019_1901_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/531d2b512e34/429_2019_1901_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/e2976b46410c/429_2019_1901_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/010bcde0bcdb/429_2019_1901_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/6698272/5288f30f19ef/429_2019_1901_Fig8_HTML.jpg

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本文引用的文献

1
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Neuropsychologia. 2018 Jun;114:168-180. doi: 10.1016/j.neuropsychologia.2018.04.040. Epub 2018 May 2.
2
Coding of navigational affordances in the human visual system.人类视觉系统中导航可供性的编码。
Proc Natl Acad Sci U S A. 2017 May 2;114(18):4793-4798. doi: 10.1073/pnas.1618228114. Epub 2017 Apr 17.
3
The necessity of visual attention to scene categorization: Dissociating "task-relevant" and "task-irrelevant" scene distractors.
Commun Biol. 2021 Jun 10;4(1):712. doi: 10.1038/s42003-021-02235-6.
4
Real-world structure facilitates the rapid emergence of scene category information in visual brain signals.真实世界的结构促进了视觉大脑信号中场景类别信息的快速出现。
J Neurophysiol. 2020 Jul 1;124(1):145-151. doi: 10.1152/jn.00164.2020. Epub 2020 Jun 10.
视觉注意力对场景分类的必要性:区分“任务相关”和“任务无关”的场景干扰物。
J Exp Psychol Hum Percept Perform. 2017 May;43(5):954-970. doi: 10.1037/xhp0000365. Epub 2017 Mar 2.
4
Two Distinct Scene-Processing Networks Connecting Vision and Memory.两个不同的场景处理网络将视觉和记忆连接起来。
eNeuro. 2016 Oct 24;3(5). doi: 10.1523/ENEURO.0178-16.2016. eCollection 2016 Sep-Oct.
5
Making Sense of Real-World Scenes.理解现实世界场景。
Trends Cogn Sci. 2016 Nov;20(11):843-856. doi: 10.1016/j.tics.2016.09.003. Epub 2016 Oct 18.
6
Revisiting the Role of the Fusiform Face Area in Expertise.重新审视梭状回面孔区在专业技能中的作用。
J Cogn Neurosci. 2016 Sep;28(9):1345-57. doi: 10.1162/jocn_a_00974. Epub 2016 Apr 15.
7
The occipital place area represents the local elements of scenes.枕叶位置区域代表场景的局部元素。
Neuroimage. 2016 May 15;132:417-424. doi: 10.1016/j.neuroimage.2016.02.062. Epub 2016 Feb 27.
8
Feature diagnosticity and task context shape activity in human scene-selective cortex.特征诊断性和任务背景塑造人类场景选择性皮层的活动。
Neuroimage. 2016 Jan 15;125:681-692. doi: 10.1016/j.neuroimage.2015.10.089. Epub 2015 Nov 2.
9
Outside Looking In: Landmark Generalization in the Human Navigational System.置身事外:人类导航系统中的地标泛化
J Neurosci. 2015 Nov 4;35(44):14896-908. doi: 10.1523/JNEUROSCI.2270-15.2015.
10
What is special about expertise? Visual expertise reveals the interactive nature of real-world object recognition.专业知识有什么特别之处?视觉专业知识揭示了现实世界物体识别的交互性质。
Neuropsychologia. 2016 Mar;83:88-99. doi: 10.1016/j.neuropsychologia.2015.06.004. Epub 2015 Jun 18.