Developing Novel Statistical Methods in NeuroImaging

拟议的项目是关于“发展神经成像新的统计方法”的讲习班。计划于2012年7月24日至26日在加州大学圣地亚哥分校举行研讨会，紧接着在加利福尼亚州圣地亚哥举行联合统计会议(JSM 2012)之前。研讨会的主要目标是确定统计研究中的公开问题，这些问题是从当前神经成像的挑战中出现的。由于脑数据的海量、高维和复杂的时空依赖结构，脑数据的分析面临着统计学上的挑战。预计将确定统计研究的开放领域，特别是在时间序列、空间分析、降维、统计学习、功能数据分析、统计计算和统计推断基础等领域。为了实现所述的讲习班目标，第一步是使量化科学家(统计学家和数学家)具备必要的神经科学理论背景，从而使他们熟悉数据。领先的神经学家将发表几场演讲。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举行会议，以确定和讨论跨学科神经成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。该计划将利用国家科学基金会的资金为年轻研究人员(包括新近毕业的博士、博士和博士后)提供部分支持。鼓励属于任职人数不足的群体(如妇女和少数群体)的初级统计员申请。有关研讨会的详情可在网上查阅：http://www.ics.uci.edu/~hombao/neurostatsw2012.html.

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.