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.

项目总结/摘要 感知生态相关的视觉刺激，如面部和身体是通过 从早期视觉皮层（EVC）延伸到外侧枕颞的两个处理流 皮层（LOTC）和腹侧颞叶皮层（VTC）。然而，如果以及如何 潜在的微观结构和白色物质连接限制了功能组织， 在这些视觉流中支持神经计算仍然知之甚少。利用 在前一个供资期取得的进展，我们提出了一个独特的多式联运方法， 结合功能磁共振成像（fMRI）、定量MRI（qMRI）、弥散MRI （dMRI），解剖量化和创新的计算建模，以阐明如何 结构性因素限制了LOTC和VTC的功能组织。该研究有三个 主要目标。目标1将测试功能解剖对应的定量模型， 高级视觉皮层利用功能磁共振成像，分析微观和宏观结构，研究将 量化宏观解剖标志、细胞结构和 LOTC和VTC的功能区。目标2将确定白色物质如何连接 调节高级视觉皮层的功能组织。使用dMRI和fMRI， aim将测试（i）从EVC到下游区域的不同白色物质连接是否有助于 视觉流内和跨视觉流的功能区域的分离，以及（ii）如果偏心率 这些白色物质连接的起源影响了下游的视野覆盖范围 地区目标3将开发和测试一个时空群体感受野模型， 视觉皮层的反应。这一目标不仅将提供一种利用功能磁共振成像的创新方法 和计算建模来预测对大范围大小不同的刺激的反应， 位置，时间和持续时间，但也将提供一个定量框架来测试的影响， 自上而下地关注基本的视觉计算。总体而言，拟议的研究将大大 通过填补长期存在的知识空白，促进对高层次视觉的理解。的 研究将（1）提供一个关于微观结构和连接如何 支撑腹侧流和侧流的功能和计算，（2）开拓新领域 在视觉皮层的计算模型中，以及（3）产生创新的多模态体内方法 来量化视觉皮层的微观结构特性。总之，这项研究对 对与高水平视力障碍相关的临床状况的影响 包括发育性面容失认症自闭症和阅读障碍