Neural representation of the geometry and functionality in a scene

场景中几何形状和功能的神经表示

• 批准号: 9006938
• 负责人: Soojin Park
• 金额: $ 36.65万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-04-01 至 2021-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9006938
• 关键词: 4 year old; Acute; Adult; Anterior; Architecture; Area; Base of the Brain; Behavioral; Brain; Categories; Cells; Characteristics; Child; Classification; Complement; Complex; Confusion; Development; Environment; Fishes; Floor; Functional Magnetic Resonance Imaging; Geometry; Goals; Height; Human; Impairment; Individual; Investigation; Knowledge; Learning; Light; Machine Learning; Medial; Methods; Modeling; Movement; Multivariate Analysis; Nature; Neurologic; Parahippocampal Gyrus; Patients; Pattern; Perception; Process; Property; Rattus; Research; Rodent; Semantics; Shapes; Temporal Lobe; Testing; Time; Visual; Visuospatial; Walking; Work; base; cognitive neuroscience; extrastriate visual cortex; interest; neuroimaging; neurophysiology; novel; programs; public health relevance; rehabilitation strategy; relating to nervous system; research study; vector

 DESCRIPTION (provided by applicant): The goal of the proposed research is to investigate how the brain represents scene geometry and functionality. Recognizing the visual environment is central to our daily interactions with the world. When we walk into a new space, we rapidly recognize whether there is a path to follow, whether there are crossable boundaries, and whether there are obstacles that block our view and potential navigation. The theoretical framework of this proposal is based on evidence that there are distinct but complementary levels of scene representation across a group of scene-selective regions in the brain (Park et al., 2011; Park et al., 2014; Park & Chun, 2009; Park, Chun, & Johnson, 2010; Park, Intraub, Yi, Widders, & Chun, 2007). The PI proposes that scene geometry (e.g., spatial layout, three-dimensional scene boundary) and functionality (e.g., navigability, limitations of a boundary) are two fundamental scene properties represented in these regions. Specific Aims: Aim 1 investigates whether the brain displays acute sensitivity to the presence of vertical boundaries, and how such sensitivity is modulated by the functional impediment that a boundary presents to the viewer's potential navigation. Aim 2 investigates the neural representation of the scene navigability, and how this representation differs from representation of scene geometry. Aim 3 investigates whether the neural representation of real world scenes is modulated by acquired knowledge about the spatio-temporal context of a scene, which are important for functionality of a scene. Throughout her aims, the PI tests medial temporal lobe regions in human adults that process scene and spatial information: with particular focus on anterior and posterior parahippocampal gyri and retrosplenial cortex. Methods include univariate and multi-voxel fMRI pattern analyses (linear support vector machine classification and representational similarity analysis) in combination with both region-of-interest (ROI) based and whole-brain based (search light) approaches. Hypothesis and preliminary results throughout the proposal suggest that scene geometry is represented in the parahippocampal gyrus, while scene functionality is represented in the retrosplenial cortex.

 描述（由适用提供）：拟议的研究的目的是研究大脑如何代表场景几何和功能。认识到视觉环境对于我们与世界的日常互动至关重要。当我们走进一个新的空间时，我们会迅速认识到是否有遵循途径，是否存在跨界边界以及是否存在阻碍我们的观点和潜在导航的障碍。该提案的理论框架是基于证据表明，大脑中一组场景选择区域中存在明显但互补的场景表示水平（Park等，2011; Park等，2014; Park＆Chun，2009; Park，Chun，＆Johnson，＆Johnson，＆Johnson，＆Johnson，＆Johnson，2010; Park，Intraub，Yi，Yi，widders和Chun，2007年）。 PI提出的场景几何形状（例如，空间布局，三维场景边界）和功能（例如，可通道性，边界的局限性）是这些区域中代表的两个基本场景属性。具体目的：AIM 1研究了大脑是否对垂直边界的存在表现出急性敏感性，以及如何通过功能障碍来调节这种灵敏度，即边界对观看者的潜在导航呈现。 AIM 2研究了场景可通道的中性表示，以及该表示与场景几何形状的表示如何不同。 AIM 3研究了现实世界场景的神经表示是否是通过对场景的空间上下文的获得的知识来调节的，这对于场景的功能很重要。通过她的目标，PI测试了人类成年人中的中值临时叶区域，这些叶片是处理场景和空间信息的：特别关注前后和后帕拉希波克宫前缘和肾上腺后皮质。方法包括单变量和多素fMRI模式分析（线性支持矢量机分类和表示相似性分析），结合了两个基于利益区域（ROI）和基于全脑（ROI）的（搜索光）方法。在整个提案中，假设和初步结果表明，场景几何形状在parahampocal gyrus中表示，而场景功能则在后全体皮层中表示。