Functional-neuroanatomy of high-level visual cortex: a quantitative multimodal approach

高级视觉皮层的功能神经解剖学：定量多模式方法

• 批准号: 10087937
• 负责人: Kalanit Grill-Spector
• 金额: $ 37.91万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10087937
• 关键词: Address; Anatomy; Architecture; Attention; Brain; Clinical; Computer Models; Coupled; Coupling; Data; Development; Diffusion; Diffusion Magnetic Resonance Imaging; Dyslexia; Face; Foundations; Functional Magnetic Resonance Imaging; Funding; Future; Histologic; Human; Individual; Knowledge; Lateral; Lead; Link; Location; Magnetic Resonance Imaging; Measurement; Measures; Methods; Mission; Modeling; Myelin; Neuroanatomy; Outcome; Perception; Peripheral; Personal Satisfaction; Population; Positioning Attribute; Property; Relaxation; Research; Role; Societies; Stimulus; Stream; Structure; Temporal Lobe; Testing; Tissues; Vision; Visual; Visual Cortex; Visual Fields; Visual Pathways; Visual Perception; Visual system structure; autism spectrum disorder; developmental prosopagnosia; gray matter; imaging modality; improved; in vivo; in vivo imaging; innovation; millisecond; multimodality; neuroimaging; neuromechanism; noninvasive diagnosis; novel; predicting response; receptive field; relating to nervous system; response; scaffold; segregation; spatiotemporal; tool; visual stimulus; white matter

Project Summary/Abstract Perception of ecologically relevant visual stimuli such as faces and bodies is achieved through two processing streams extending from early visual cortex (EVC) to lateral occipito-temporal cortex (LOTC) and ventral temporal cortex (VTC), respectively. However, if and how the underlying microstructure and white matter connections constrain the functional organization and support neural computations in these visual streams remains poorly understood. Leveraging advancements achieved in the prior funding period, we propose a unique multimodal approach, combining functional magnetic resonance imaging (fMRI), quantitative MRI (qMRI), diffusion MRI (dMRI), anatomical quantification, and innovative computational modeling to elucidate how structural factors constrain the functional organization of LOTC and VTC. The research has three main aims. Aim 1 will test a quantitative model of functional-anatomical correspondence in high-level visual cortex. Using fMRI, analysis of micro- and macro-structure, the research will quantify the correspondence between macroanatomical landmarks, cytoarchitecture, and functional regions in LOTC and VTC. Aim 2 will determine how white matter connections regulate the functional organization of high-level visual cortex. Using dMRI and fMRI this aim will test (i) if different white matter connections from EVC to downstream regions contribute to the segregation of functional regions within and across visual streams, and (ii) if the eccentricity of the origin of these white matter connections impacts the visual field coverage of downstream regions. Aim 3 will develop and test a spatiotemporal population receptive field model of responses in visual cortex. This aim will provide not only an innovative approach using fMRI and computational modeling to predict responses to a large range of stimuli that vary in size, position, timing, and duration, but will also provide a quantitative framework to test the impact of top-down attention on basic visual computations. Overall, the proposed research will significantly advance understanding of high-level vision by filling in longstanding gaps in knowledge. The research will (1) provide a parsimonious model of how the microstructure and connections scaffold the function and computations of both ventral and lateral streams, (2) break new ground in computational models of visual cortex, and (3) generate innovative multimodal in vivo methods to quantify microstructural properties of visual cortex. Together, the research has important implications for clinical conditions that are associated with malfunction of high-level vision including developmental prosopagnosia, autism, and dyslexia.

项目摘要/摘要 通过生态相关的视觉刺激（例如面孔和身体）的感知可以通过 两个处理流从早期视觉皮层（EVC）延伸到外侧枕骨临时 皮层（LotC）和腹侧颞皮层（VTC）。但是，如果以及如何 基础微观结构和白色物质连接限制了功能组织和 在这些视觉流中支持神经计算仍然知之甚少。利用 在以前的资金期间取得的进步，我们提出了一种独特的多模式方法， 结合功能性磁共振成像（fMRI），定量MRI（QMRI），扩散MRI （DMRI），解剖量化和创新的计算建模，以阐明如何 结构因素限制了LOTC和VTC的功能组织。这项研究有三个 主要目的。 AIM 1将测试功能 - 动物对应的定量模型 高级视觉皮层。使用fMRI，微结构分析，研究将 量化宏观印度地标，细胞结构和 LOTC和VTC中的功能区域。 AIM 2将决定白质连接的方式 调节高级视觉皮层的功能组织。使用DMRI和fMRI这个 AIM将测试（i），如果从EVC到下游区域的不同白质连接贡献 到跨视觉流中和跨视觉流的功能区域的分离，（ii）如果偏心率 这些白质连接的起源会影响下游的视野覆盖率 地区。 AIM 3将开发和测试一个时空种群接受场模型 视觉皮层中的响应。这个目标不仅将使用fMRI提供一种创新的方法 和计算建模，以预测对大小变化的大量刺激的响应， 位置，时机和持续时间，但还将提供一个定量框架来测试 自上而下的关注基本视觉计算。总体而言，拟议的研究将大大 通过填补知识的长期差距，可以提高对高级视力的理解。这 研究将（1）提供一个简约的模型，以了解微观结构和连接 脚手架腹侧和侧流的功能和计算，（2）破裂新地面 在视觉皮层的计算模型中，（3）生成创新的多模式在体内方法 量化视觉皮层的微结构特性。这项研究很重要 对与高级视力故障相关的临床条件的影响 包括发育性普通话，自闭症和阅读障碍。