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: 10553230
• 负责人: Kalanit Grill-Spector
• 金额: $ 39.05万
• 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 2025-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10553230
• 关键词: Address; Anatomy; Architecture; Attention; Brain; Categories; Clinical; Computer Models; Coupled; Coupling; Data; Diffusion Magnetic Resonance Imaging; Dyslexia; Face; Foundations; Functional Magnetic Resonance Imaging; Funding; Future; Histologic; Human; Individual; Knowledge; Lateral; Link; Location; Magnetic Resonance Imaging; Measurement; Measures; Methods; Microanatomy; Mission; Modeling; Myelin; Neuroanatomy; Outcome; Perception; Peripheral; Personal Satisfaction; Population; Positioning Attribute; Property; Relaxation; Research; Role; Societies; Stimulus; Stream; Structure; Temporal Lobe; Testing; Time; Tissues; Vision; Visual; Visual Cortex; Visual Fields; Visual Motion; Visual Pathways; Visual Perception; Visual System; attentional modulation; autism spectrum disorder; developmental prosopagnosia; diagnostic tool; gray matter; imaging modality; improved; in vivo; in vivo imaging; innovation; millisecond; multimodality; neural; neuroimaging; neuromechanism; noninvasive diagnosis; novel; predicting response; receptive field; response; scaffold; segregation; spatiotemporal; structural determinants; 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 对生态相关的视觉刺激，如面部和身体的感知是通过 从早期视皮层(EVC)到枕颞侧的两个加工流 大脑皮质(LOTC)和腹侧颞叶皮质(VTC)。然而，如果以及如何 潜在的微观结构和白质连接制约着功能组织和 对这些视觉流中的神经计算的支持仍然知之甚少。利用 考虑到前一个供资期间取得的进展，我们提出了一种独特的多式联运办法， 结合功能磁共振成像(FMRI)、定量磁共振成像(QMRI)、弥散磁共振成像 (DMRI)、解剖量化和创新的计算建模，以阐明 结构性因素制约了职业训练局和职业训练局的职能组织。这项研究有三个方面 主要目标。目标1将测试一个功能-解剖学对应的量化模型 高级视觉皮质。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 物流训练局和职业训练局的功能区。目标2将确定脑白质之间的联系 调节高级视皮层的功能组织。使用dMRI和fMRI AIM将测试(I)从EVC到下游区域的不同白质连接是否对 视觉流内和视流之间的功能区域的分离，以及(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 地区。目标3将开发和测试一个时空人口接受场模型 视觉皮质的反应。这一目标不仅将提供一种使用功能磁共振成像的创新方法 以及用于预测对大范围大小不同的刺激的响应的计算建模， 位置、时间和持续时间，但也将提供一个量化框架来测试 自上而下地关注基本的视觉计算。总体而言，拟议的研究将显著 通过填补长期存在的知识空白，促进对高层次愿景的理解。这个 研究将(1)提供一个简明的模型，说明微结构和连接是如何 搭建了腹流和侧流的函数和计算框架，(2)开辟了新天地 在视觉皮质的计算模型中，以及(3)在活体中产生创新的多模式方法 对视皮层的微结构特性进行量化。总之，这项研究具有重要的意义 与高水平视力障碍相关的临床条件的影响 包括发育性面孔失认症、自闭症和阅读障碍。