Neuroimaging Core

神经影像核心

• 批准号: 10175039
• 负责人: Michael Peter Milham
• 金额: $ 25.34万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-15 至 2023-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10175039
• 关键词: Atlases; Brain; Cerebral cortex; Communities; Data; Diffusion Magnetic Resonance Imaging; Functional Magnetic Resonance Imaging; Human; Macaca; Meta-Analysis; Monkeys; Neurobiology; Neurosciences; Online Systems; Participant; Physiological; Rest; Site; Standardization; Structure; base; connectome; data sharing; experimental study; method development; neuroimaging; neuroinformatics; nonhuman primate; open source; web interface

SUMMARY A fundamental advance in Neuroimaging in the last 10 years has been the development of methods to derive regional parcellations of the cerebral cortex, or `parcellated connectomes', from structural and/or functional MRI data. Within the Conte Center, the Neuroimaging core will focus on providing single subject and group connectomes of the brain in humans and macaques. Specifically, connectomes will allows for: (1) the localization of recording sites in relation to independently localized human cortical regions and networks; (2) standardization of recording site localization across centers, which will in turn provide a way to compare results across experiments; (3) definition of a macaque monkey cortical parcellation atlas for the comparison, sharing, and meta-analysis of physiological studies within our consortium, but also the wider non-human primates physiological community. The Neuroinformatics core will facilitate data sharing across the Conte Center sites and the neuroscience community through an open source web interface.

概括 在过去10年中，神经影像学的基本进步是发展方法的发展 从结构和/或 功能性MRI数据。在孔戴中心内，神经影像学核心将专注于提供单一主题 和人类和猕猴中大脑的组连接组。具体而言，连接组将允许： （1）与独立本地化的人类皮质区域有关的记录位点的定位和 网络； （2）跨中心的记录网站本地化的标准化，这将又提供一种方式 比较跨实验的结果； （3）猕猴皮层拟层的定义 我们财团内生理研究的比较，共享和荟萃分析，也是 更广泛的非人类灵长类动物生理界。神经信息学核心将有助于数据共享 通过开源Web界面跨越孔戴中心站点和神经科学社区。