Developing Novel Statistical Methods in NeuroImaging

开发神经影像领域的新型统计方法

• 批准号: 1231069
• 负责人: Hernando Ombao
• 金额: $ 1.65万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-15 至 2013-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1231069&HistoricalAwards=false
• 关键词: Developing; Novel; Statistical; Methods; NeuroImaging

The proposed project is a workshop on "Developing Novel Statistical Methods in NeuroImaging". The plan is to hold the workshop on July 24-26, 2012 at the University of California at San Diego which will immediately precede the Joint Statistical Meeting (JSM 2012) in San Diego, California. The primary goal of the workshop is to identify open problems in statistical research that emerge from current challenges in neuroimaging. The analysis of brain data presents statistical challenges because of its massiveness, high dimensionality and complex spatio-temporal dependence structure. It is anticipated that open lines of statistical research will be identified -- especially in the areas of time series, spatial analysis, dimension reduction, statistical learning, functional data analysis, statistical computation and foundations of statistical inference. To achieve the stated workshop goal, the first step is to equip quantitative scientists (statisticians and mathematicians) with the necessary theoretical background in neuroscience, thereby familiarizing them with the data. Several lectures will be delivered by leading neuroscientists. The second step is to cover the state-of-the-art statistical methods for the analysis of brain imaging data and to identify the limitations of the current approaches. Scientists from diverse research areas and career stages will meet in order to identify and discuss key emerging areas of interdisciplinary neuroimaging research where mathematical sciences promise to play an important role in the coming years. The plan is to utilize funds from the NSF to provide partial support to young researchers (including recent PhD grads, PhD and post-doctoral students). Junior statisticians who belong to under-represented groups (e.g., women and minorities) are encouraged to apply. Details on the workshop are available online: http://www.ics.uci.edu/~hombao/neurostatsw2012.html.

拟议的项目是一个关于“开发神经影像新统计方法”的研讨会。计划于 2012 年 7 月 24 日至 26 日在加州大学圣地亚哥分校举办研讨会，紧接着在加州圣地亚哥举行联合统计会议 (JSM 2012)。研讨会的主要目标是确定统计研究中因当前神经影像学挑战而出现的开放性问题。大脑数据的分析因其海量、高维度和复杂的时空依赖性结构而面临统计挑战。预计统计研究的开放领域将被确定——特别是在时间序列、空间分析、降维、统计学习、函数数据分析、统计计算和统计推断基础领域。为了实现研讨会的既定目标，第一步是让定量科学家（统计学家和数学家）具备必要的神经科学理论背景，从而熟悉数据。几场讲座将由顶尖的神经科学家进行。第二步是介绍用于分析脑成像数据的最先进的统计方法，并确定当前方法的局限性。来自不同研究领域和职业阶段的科学家将齐聚一堂，以确定和讨论跨学科神经影像研究的关键新兴领域，数学科学有望在未来几年发挥重要作用。 该计划是利用 NSF 的资金为年轻研究人员（包括应届博士毕业生、博士生和博士后学生）提供部分支持。鼓励属于代表性不足群体（例如妇女和少数民族）的初级统计学家申请。 有关研讨会的详细信息可在线获取：http://www.ics.uci.edu/~hombao/neurostatsw2012.html。