Enhancing an Imaging Core at the University of Texas at Austin
增强德克萨斯大学奥斯汀分校的成像核心
基本信息
- 批准号:7934944
- 负责人:
- 金额:$ 384.1万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-04-01 至 2013-03-31
- 项目状态:已结题
- 来源:
- 关键词:AnimalsArtsBiological SciencesBiomedical ResearchCommunitiesEducationEducational process of instructingEffectivenessFundingHome environmentHumanImageImaging TechniquesInstitutesLaboratoriesLaboratory ResearchLearningLocationMagnetic Resonance ImagingMemoryNeurobiologyNeurosciencesOrganic ChemistryRequest for ProposalsResearchResourcesScienceSmall Animal Imaging SystemsSystemTechnologyTexasUniversitiesanticancer researchaustindesignimaging modalityprogramsresearch facilitysquare foot
项目摘要
DESCRIPTION (provided by applicant): This proposal requests funds to complete construction of a new home for the Imaging Research Center at the University of Texas at Austin. This center is currently located several miles from the main campus, which limits its effectiveness and availability. The proposed project would move the Imaging Research Center to a space within the newly constructed Norman Hackerman Building, located at the center of the UT Austin campus. The new location would allow the installation of additional imaging resources, including several imaging systems for small animals, as well as incorporating it more centrally into the biomedical research community. The new center will be directly connected to the building's vivarium, providing an optimal setup for animal imaging. In addition, the project would provide space for a newly purchased 3 Tesla magnetic resonance imaging system, which would support a broad range of imaging projects in humans and other species. The Norman Hackerman Building, which is replacing the Experimental Science Building of 1950, will provide UT Austin with an advanced facility for research and education in the Life Sciences. The 293,768 gross square foot building will offer modern, technology-enabled seminar rooms and undergraduate teaching laboratories, as well as office and research laboratory space for cutting-edge academic programs, including the Institute for Neuroscience, the Center for Learning and Memory, the Section of Neurobiology, and Synthetic Organic Chemistry in addition to the Imaging Research Center. The building is located within two block of nearly every biomedical research program on the UT campus. Its design incorporates the state of the art in sustainable building practices and technologies. Imaging methods have become central to nearly every aspect of biomedical research, and the availability of new imaging techniques at UT Austin has the potential to greatly advance research on campus. UT Austin has particular strength in neuroscience and cancer research, both of which would greatly benefit from the proposed improvements.
描述(由申请人提供):该提案要求为德克萨斯大学奥斯汀分校成像研究中心的新住宅建设提供资金。该中心目前距离主校区几英里,这限制了它的有效性和可用性。拟议的项目将把成像研究中心搬到新建的Norman Hackerman大楼内,该大楼位于德克萨斯大学奥斯汀校区的中心。新的地点将允许安装额外的成像资源,包括几个小动物成像系统,并将其更集中地纳入生物医学研究界。新中心将直接连接到建筑的动物陈列室,为动物成像提供最佳设置。此外,该项目将为新购买的3特斯拉磁共振成像系统提供空间,该系统将支持广泛的人类和其他物种的成像项目。Norman Hackerman大楼将取代1950年的实验科学楼,为UT Austin提供先进的生命科学研究和教育设施。293,768平方英尺的建筑将提供现代化的、技术支持的研讨室和本科教学实验室,以及办公和研究实验室空间,用于尖端的学术项目,包括神经科学研究所、学习和记忆中心、神经生物学部分和合成有机化学,以及成像研究中心。该建筑位于德克萨斯大学校园内几乎所有生物医学研究项目的两个街区内。它的设计融合了最先进的可持续建筑实践和技术。成像方法几乎已经成为生物医学研究的每个方面的核心,德克萨斯大学奥斯汀分校的新成像技术的可用性有可能极大地推进校园研究。德克萨斯大学奥斯汀分校在神经科学和癌症研究方面具有特别的优势,这两个领域都将从拟议的改进中受益匪浅。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Russell A Poldrack其他文献
Making big data open: data sharing in neuroimaging
开放大数据:神经影像学中的数据共享
- DOI:
10.1038/nn.3818 - 发表时间:
2014-10-28 - 期刊:
- 影响因子:20.000
- 作者:
Russell A Poldrack;Krzysztof J Gorgolewski - 通讯作者:
Krzysztof J Gorgolewski
The young and the reckless
年轻而鲁莽的人
- DOI:
10.1038/nn.3116 - 发表时间:
2012-05-25 - 期刊:
- 影响因子:20.000
- 作者:
Sarah M Helfinstein;Russell A Poldrack - 通讯作者:
Russell A Poldrack
Russell A Poldrack的其他文献
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{{ truncateString('Russell A Poldrack', 18)}}的其他基金
Data-driven validation of cognitive RDoC dimensions using deep phenotyping
使用深度表型分析对认知 RDoC 维度进行数据驱动验证
- 批准号:
10686101 - 财政年份:2022
- 资助金额:
$ 384.1万 - 项目类别:
Data-driven validation of cognitive RDoC dimensions using deep phenotyping
使用深度表型分析对认知 RDoC 维度进行数据驱动验证
- 批准号:
10515980 - 财政年份:2022
- 资助金额:
$ 384.1万 - 项目类别:
NIPreps: integrating neuroimaging preprocessing workflows across modalities, populations, and species
NIPreps:整合跨模式、人群和物种的神经影像预处理工作流程
- 批准号:
10513258 - 财政年份:2021
- 资助金额:
$ 384.1万 - 项目类别:
Characterizing cognitive control networks using a precision neuroscience approach
使用精确神经科学方法表征认知控制网络
- 批准号:
9906911 - 财政年份:2018
- 资助金额:
$ 384.1万 - 项目类别:
OpenNeuro: An open archive for analysis and sharing of BRAIN Initiative data
OpenNeuro:用于分析和共享 BRAIN Initiative 数据的开放档案
- 批准号:
10365039 - 财政年份:2018
- 资助金额:
$ 384.1万 - 项目类别:
OpenNeuro: An open archive for analysis and sharing of BRAIN Initiative data
OpenNeuro:用于分析和共享 BRAIN Initiative 数据的开放档案
- 批准号:
10417031 - 财政年份:2018
- 资助金额:
$ 384.1万 - 项目类别:
OpenNeuro: An open archive for analysis and sharing of BRAIN Initiative data
OpenNeuro:用于分析和共享 BRAIN Initiative 数据的开放档案
- 批准号:
10451257 - 财政年份:2018
- 资助金额:
$ 384.1万 - 项目类别:
Characterizing cognitive control networks using a precision neuroscience approach
使用精确神经科学方法表征认知控制网络
- 批准号:
10398085 - 财政年份:2018
- 资助金额:
$ 384.1万 - 项目类别:
BIDS-Derivatives: A data standard for derived data and models in the BRAIN Initiative
BIDS-Derivatives:BRAIN Initiative 中派生数据和模型的数据标准
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9411944 - 财政年份:2017
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$ 384.1万 - 项目类别:
The development of neural responses to punishment in adolescence
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8662735 - 财政年份:2013
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$ 384.1万 - 项目类别:
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