MRI-R2: Development of an Instrument for Information Science and Computing in Neuroscience
MRI-R2: Development of an Instrument for Information Science and Computing in Neuroscience
批准号:
0959985
负责人:
Malek Adjouadi
金额:
$293.95万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-06-01 至 2015-09-30
中文摘要
“这项奖励是根据2009年美国复苏和再投资法案(公法111-5)资助的。”提案号:09-59985PI(s): Adjouadi, Malek;阿曼多·b·巴雷托;盖拉德,威廉;Jayakar Prasanna;Rishe, Naphtali d .机构:佛罗里达国际大学标题:MRI-R2/Dev:神经科学中的信息科学和计算仪器该项目,开发一种信息处理和计算仪器,使大脑的凝聚力研究成为可能,涉及5-D大脑处理平台的新概念,同时解决了寻找将五个维度放在一起的最佳方法的挑战,以提供一个完整的大脑动力学图像。这种统一的方法汇集了计算机工程、计算机科学、电子工程和生物工程领域,以创建一种仪器,用于精确测量和可视化跨越五个维度的重要信息和结果,其中三个维度来自空间数据、时间,以及作为第五个维度的成像模式。完成这一任务需要先进的设计、硬件软件集成机制和新颖的接口,这些接口将相互竞争的、有时是分歧的技术整合到一个统一的大脑研究平台中。结合多站点数据存储库、模态集成以及计算、可视化和操作支持单元,这台新仪器有望带来:-对大脑结构、功能相关性和动态的新见解;-整合多模态技术,以增强其能力,同时巩固高空间分辨率和高时间分辨率,-数据库设计和管理增强了快速用户交互和可视化机制,以满足管理复杂时空数据集的挑战,提出复杂的查询,建立有效的数据表示和可视化方法,解决由于使用不同的记录方式和不同的软件平台而产生的大量计算需求和兼容性问题。该项目旨在共同克服确定影响大脑功能组织及其潜在病理的不同因素的主要障碍。作为一个例子,它深入研究癫痫发作可以随着时间的推移,因为它沿着特定的纤维束移动,可以更好地识别治疗的特定区域,从而在手术中保护大脑功能重要的部分,从而可能导致更好和更安全的结果。更广泛的影响:促进支持跨学科倡议、联合协作和项目的环境,该仪器建立了一个研究平台,使学术机构和医院能够根据系统管理的标准化协议对共同评估和措施数据库进行多地点合作研究。该项目扩展了多学科努力的广度和深度,包括新的范例和发现。此外,该项目促进了少数民族大学许多学生的教育、研究和培训。
英文摘要
"This award is funded under the American Recovery and Reinvestment Act of 2009(Public Law 111-5)."Proposal #: 09-59985PI(s): Adjouadi, Malek; Barreto, Armando B.; Gaillard,William; Jayakar,Prasanna; Rishe, Naphtali D.Institution: Florida International University Title: MRI-R2/Dev: Instrument for Information Science and Computing in NeuroscienceThis project, developing an instrument for information processing and computing that enables cohesive study of the brain, involves the new concept of a 5-D brain processing platform while addressing the challenge of finding the best way to put together five dimensions to provide a complete picture of brain dynamics. This unified approach brings together fields of Computer Engineering, Computer Science, Electrical Engineering, and Bioengineering to create an instrument for precisely measuring and visualizing significant information and results across the five dimensions, three from spatial data, time, and an imaging modality that serves as the fifth dimension. Accomplishing this mission involves advanced designs, hardware-software integration mechanisms, and novel interfaces that bring competing, and sometimes diverging, technologies into a unified brain research platform. Combining a Multi-site Data Repository, Modality Integration and Computational, Visualization, and Operation Support Units, this new instrument is expected to bring:- New insights into brain structure, functional correlations and dynamics, both in its normal state and under specific pathological conditions,- Far improved mapping of patterns of brain activity,- Integration of multimodal technologies in order to augment their capabilities with new insights while consolidating high spatial resolution with high temporal resolution,- Database design and management augmented with mechanisms for fast user interaction and visualization to meet the challenge of managing complex spatio-temporal datasets, posing complex queries, and establishing effective methods for data representation and visualization, and- Resolution of those paradigms that confront heavy computational requirements and compatibility problems that arise from the use of different recording modalities and diverse software platforms.The project aims to collectively overcome the primary barriers in identifying the different factors that influence the functional organization of the brain and its underlying pathology. As an example, it delves in the epileptic seizure that can be mapped over time as it moves along specific fiber tracts that may enable better identification of specific areas of treatment and consequently protect functionally important parts of the brain during surgery that may lead to better and safer outcomes.Broader Impacts: Fostering an environment that supports cross disciplinary initiatives, joint collaboration and programs, the instrument establishes a research platform that enables academic institutions and hospitals to investigate multi-site collaborative studies in accordance to systematically administered standardize protocols to a database of common assessments and measures. The project extends the breadth and depth of multidisciplinary efforts including new paradigms and findings. Moreover, the project advances the education, research, and training of many students in a minority serving university.
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会议论文
MRI: Development of an Instrument for a Comprehensive Study of Alzheimer's Disease: Multimodal Imaging, Visualization, Machine Learning and Therapeutic Brain Stimulation
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批准号:1920182
-
项目类别:Continuing Grant
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资助金额:$333.87万
-
财政年份:2019
-
负责人:Malek Adjouadi
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依托单位:
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批准号:0426125
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项目类别:Continuing Grant
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财政年份:2004
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负责人:Malek Adjouadi
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依托单位:
CISE MII: Institutional Infrastructure in Support of Computer and Software Engineering with Special Focus on Human-Computer Interface Research and Information Processing
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批准号:9906600
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项目类别:Continuing Grant
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资助金额:$143.78万
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财政年份:1999
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负责人:Malek Adjouadi
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依托单位:
Acquisition Of An EEG-Based Imaging System For Human-Computer Interface Research
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批准号:9871252
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项目类别:Standard Grant
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资助金额:$20.88万
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财政年份:1998
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负责人:Malek Adjouadi
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依托单位:
CISE Minority Institutions Infrastructure: Multidimensional and Multispectral Information Processing and Computational Aspects
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批准号:9633519
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项目类别:Standard Grant
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资助金额:$22.11万
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依托单位:
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项目类别:Standard Grant
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资助金额:$26.7万
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财政年份:1995
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负责人:Malek Adjouadi
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依托单位:
Institutional Infrastructure Minority Institutions Program: Establishment of an Institutional Infrastructure: Center for Advanced Technology and Education (CATE)
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批准号:9313624
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项目类别:Continuing Grant
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资助金额:$90.0万
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批准号:9114589
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项目类别:Standard Grant
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资助金额:$5.0万
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财政年份:1991
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负责人:Malek Adjouadi
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依托单位:
国内基金
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