Computation/Statistics

摘要-计算和统计核心002 我们的中心建议有一个计算和统计核心，旨在提供科学支持， 人类和动物研究项目。该核心将为项目团队提供四项服务， 将我们的技术和生成的数据传播给神经科学界。第一个服务将 为脑成像数据集提供极高质量的采集和预处理协议， 并在该领域引入新的技术进步。人类和啮齿动物的大脑成像数据处理是 复杂，需要继续保持警惕，以适当评估所收集数据的质量， 数据，以及正确选择和应用数据分析方法和工具。将提供单独的管道 对于啮齿动物和人类数据的预处理，分割，注册到标准地图集，并建议将 用于设计和处理收集的数据。此服务将由项目1用于人类和啮齿动物 脑成像数据。第二项服务将是为实验设计提供建议和统计工具， 数据分析，以我们的内部团队成员在神经科学界在整个。该服务将有助于 确保对收集的数据进行适当设盲，根据把握度计算预先确定组大小。第三 服务将帮助研究人员设计和实施多参数统计回归， 人类和动物数据的贝叶斯模型，特别是在结合多模态观测时。再次，这些 将向所有四个项目以及更广泛的科学界提供服务。第四项服务将 将我们的大脑成像技术和收集的数据传播给科学界，通过我们的 OpenPain门户网站，并联系其他团体，鼓励他们在OpenPain上发布他们的fMRI数据， 已经发表的研究，并通过美国国立卫生研究赠款，人类和啮齿动物。巴利基和 格里菲斯将共同领导这个核心。Baliki博士是一位年轻的科学家，在功能磁共振成像数据分析方面拥有丰富的专业知识 方法和推进这些技术。格里菲斯博士的专长是人类和行为数据， 在Apkarian小组工作多年，从事统计咨询和分析工作。他们将 同时监督其他参与组织OpenPain的技术人员。数据集和相关方法以及 软件将为描述人类和啮齿动物的大脑功能提供宝贵的资源， 与行为的关系。

Abstract – Computation and Statistics Core 002 Our Center proposes to have a Computation and Statistics Core intended to provide scientific support to both human and animal research projects. This Core will provide four services to the program team, and also disseminate our technology and generated data to the neuroscience community in general. The first service will be to provide exceptionally high quality acquisition and preprocessing protocols for brain imaging datasets, as well as to introduce new technical advances in the area. Human and rodent brain imaging data processing are complicated and require continued vigilance for proper assessment of quality of collected data, preprocessing of data, and proper selection and application of data analysis methods and tools. Separate pipelines will be provided for rodent and human data preprocessing, segmentation, registration to standard atlases, and advice will be provided for design and processing of collected data. This service will be used by Project 1 for human and rodent brain imaging data. The second service will be to provide advice and statistical tools for experimental design and data analysis to both our internal team members at the neuroscience community at large. The service will help ensure proper blinding of collected data, predetermining of group sizes based on power calculations. The third service will aid researchers in the design and implementation of multi-parameter statistical regression and Bayesian models of human and animal data, especially when combining multi-modal observations. Again, these services will be provided to all four projects as well as the broader scientific community. The fourth service will be disseminating our brain imaging techniques and collected data to the scientific community through our OpenPain portal, and also contacting other groups to encourage them to post their fMRI data on OpenPain, from studies that are already published and were funded through NIH grants, both human and rodent. Baliki and Griffith will lead this Core jointly. Dr. Baliki is a young scientist with extensive expertise in fMRI data analyses methods and in advancing these techniques. Dr. Griffith has expertise is human and behavioral data and has worked with the Apkarian group for many years in the capacity of statistical consultation and analyses. They will also oversee other technical staff involved in organizing OpenPain. The datasets and associated methods and software will provide valuable resources for characterizing human and rodent brain function, and their relationship to behavior.