META-ANALYSIS IN HUMAN BRAIN MAPPING

描述（由申请人提供）：本提案的总体目标是开发，评估，分发和应用人类功能脑映射（HFBM）文献的定量荟萃分析工具。BrainMap数据库可作为基于互联网的资源，用于HFBM元分析所需的检索、编码和过滤论文。BrainMap已在多平台软件环境（Java）中完全实现，并填充了bbbb50篇论文和b> 000个实验（b> 20%的文献符合我们的纳入标准）。现在提出：扩展基于坐标的、体素的元分析（CVM）的功能（目标1）；扩展CVM数据集的网络分析（Aim 2）；为空间归一化创建最优的高分辨率大脑模板，以代表大组受试者（目标3）；并开发返回任何给定解剖坐标的功能标签和标签可能性度量的方法，并通过Talairach Daemon的功能标签扩展来提供这些标签（目标4）。此外，我们提出了一个结构化的数据共享计划，该计划将为共享软件工具、元分析、功能本体和已发表的HFBM文献的协调数据提供正式的手段。解决这些目标将极大地推进功能神经成像的荟萃分析的现状。与每项发展有关的评价将为进一步发展工具和后勤提供指导。

DESCRIPTION (provided by applicant): The overall objective of the present proposal is to develop, evaluate, distribute, and apply tools for quantitative meta-analysis of the human functional brain mapping (HFBM) literature. The BrainMap database may be used as an internet-based resource for retrieval, coding, and filtering papers that is required for an HFBM meta-analysis. BrainMap has been fully implemented in a multi-platform software environment (Java) and populated with >750 papers and > 3,000 experiments (>20% of the literature meeting our inclusion criteria). It is now proposed: to extend the functionality of coordinate-based, voxel- wise meta-analysis (CVM) (Aim 1); to extend network analysis of CVM datasets (Aim 2); to create optimal high-resolution brain templates for spatial normalization that are representative of large groups of subjects (Aim 3); and to develop methods for returning functional labels and metrics of label likelihood for any given anatomical coordinate and serve these labels through a function-label extension of the Talairach Daemon (Aim 4). In addition, we propose a structured data-sharing plan that will provide a formal means for sharing software tools, meta-analyses, a functional ontology, and coordinate data of the published HFBM literature. Addressing these aims will greatly advance the current status of meta-analysis in functional neuroimaging. The evaluations associated with each development will provide guidance for further development of tools and logistics.