Reconstructions and Representations of Cerebral Cortex

大脑皮层的重建和表示

• 批准号: 10394240
• 负责人: DAVID C VAN ESSEN
• 金额: $ 65.11万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-30 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10394240
• 关键词: 3-Dimensional; Address; Adult; Algorithms; Anatomy; Area; Atlases; Brain; Brain Diseases; Brain Mapping; Brain imaging; Callithrix; Cerebral cortex; Classification; Communities; Computer software; Data; Data Analyses; Data Set; Databases; Diagnosis; Electroencephalography; Electrophysiology (science); Evaluation; Evolution; Family; Functional Magnetic Resonance Imaging; Grant; Heritability; Hour; Human; Individual; Individual Differences; Injections; Link; Macaca; Machine Learning; Magnetic Resonance Imaging; Maps; Measures; Methods; Modeling; Monkeys; Myelin; Neighborhoods; Online Systems; Outcome; Physiological; Publishing; Recommendation; Reference Values; Reproducibility; Research Design; Rest; Scanning; Site; Surface; Testing; Time; Tracer; Twin Multiple Birth; Visualization; Work; advanced analytics; analytical tool; anatomical tracing; base; brain circuitry; computerized; connectome; denoising; design; functional MRI scan; improved; individual variation; insight; interoperability; multimodal data; multimodality; neuroimaging; neurophysiology; nonhuman primate; novel; novel strategies; reconstruction; tool; user-friendly; young adult

Project Summary This project will generate extensive new findings about cortical organization and connectivity in humans and nonhuman primates using high quality, multimodal datasets provided by our collaborators and by the young adult Human Connectome Project (YA-HCP). It will accelerate progress by freely sharing the resulting tools and experimental data with the scientific community. The first aim will provide a critically needed evaluation of non-invasive connectivity measures in relation to invasive anatomical tracers in macaque monkeys. Different methods for estimating fMRI-derived functional connectivity will be evaluated in order to determine which approach best correlates with `ground truth' tracer-based anatomical connectivity. This aim will also generate new insights about cortical evolution by comparing areal organization across humans, macaques, and marmosets using a novel approach in which areal features (myelin maps, resting-state networks, and identified homologous areas) constrain the registration between species. The second aim will focus on cortical organization in individual subjects using refined HCP-style analysis tools. It will optimize and evaluate intersubject alignment (using a recently developed Multimodal Surface Matching method) and individual-subject parcellation (using a machine learning based areal classifier). An important outcome will be recommendations of `best practice' for other projects that acquire less fMRI data than in the YA- HCP. These data will also be used to characterize individual variability of human cortical areas. For each of 180 areas, individual differences in size and topology (neighborhood relationships) will be examined for heritability and for symmetry across the two hemispheres. Additional analyses will reveal whether some areas are reproducibly absent in some individuals and whether `novel' areas are present in some subjects. The third aim is to enhance the capabilities of the Connectome Workbench visualization and analysis platform and the BALSA database that were introduced during previous grant periods. Enhancements to Connectome Workbench will: (i) enable non-invasive electrophysiological (MEG/EEG) and invasive neurophysiological data to be integrated with MRI data and atlas-based connectivity data (ii) facilitate interoperability across different atlases, (iii) improve interactive `HCP-style' analysis capabilities, and (iv) enable cortical layer-based analyses. Enhancements to the BALSA database include: (i) a WebGL-based web-viewer for interactive online visualization with special focus on the unique data generated by this project, (ii) an online spatial localization tool and (iii) support for uploading scene files to BALSA from 5 other software platforms besides Workbench.

项目摘要 该项目将产生关于大脑皮层组织和连接的广泛的新发现， 人类和非人类灵长类动物使用高质量，多模态数据集提供了我们的 人类连接组计划（YA-HCP）。将加速 通过与科学家免费分享所产生的工具和实验数据， 社区第一个目标将提供一个迫切需要的非侵入性连接评估 在猕猴中的侵入性解剖示踪剂的相关措施。不同方法 将评价fMRI衍生功能连接的估计，以确定 这种方法与基于示踪剂的解剖学连接性的“地面实况”最佳相关。这一目标将 还通过比较大脑皮层的区域组织， 人类，猕猴和绒猴使用一种新的方法，其中区域特征（髓鞘 地图、静止状态网络和识别的同源区域）约束配准 物种之间。第二个目标将集中在皮层组织在个别科目使用 完善的HCP式分析工具。它将优化和评估学科间的对齐（使用 最近开发的多模态表面匹配方法）和个体主题分割 （使用基于机器学习的区域分类器）。一个重要的结果将是 为其他项目提供“最佳实践”建议，这些项目获得的fMRI数据少于YA- HCP。这些数据也将用于表征人类皮层区域的个体差异。 对于180个区域中的每一个，在大小和拓扑结构（邻里关系）上的个体差异 将检查遗传性和两个半球的对称性。额外 分析将揭示某些区域是否在某些个体中可再现地缺失， 在某些学科中是否存在“新”领域。第三个目标是提高能力， Connectome可视化和分析平台以及BALSA数据库 在以前的资助期内引入的。增强Connectome ™ 将：（i）实现非侵入性电生理学（MEG/EEG）和侵入性神经生理学 数据与MRI数据和基于地图集的连通性数据相结合，（ii）便于 不同地图集之间的互操作性，㈢改进交互式“HCP式”分析能力， 以及（iv）能够进行基于皮层的分析。BALSA数据库的增强功能包括： (i)一个基于WebGL的网络查看器，用于交互式在线可视化，特别关注 该项目生成的独特数据，（ii）在线空间定位工具，以及（iii）支持 上传场景文件到BALSA从5个其他软件平台除了eM2.0。