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、分发和应用工具，对人类功能脑图(HFBM)文献进行定量荟萃分析。BrainMap数据库可以用作基于互联网的资源，用于检索、编码和过滤HFBM荟萃分析所需的论文。BrainMap已在多平台软件环境(Java)中完全实现，并填充了&gt；750篇论文和&gt；3,000个实验(&gt；20%的文献符合我们的纳入标准)。现在提议：扩展基于坐标的体素元分析(CVM)(目标1)的功能；扩展CVM数据集的网络分析(目标2)；为空间归一化创建代表大组受试者的最佳高分辨率大脑模板(目标3)；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守护程序的功能标签扩展提供这些标签(目标4)。此外，我们提出了一个结构化的数据共享计划，它将为共享已发表的HFBM文献的软件工具、元分析、功能本体和协调数据提供一种正式的手段。解决这些目标将极大地促进元分析在功能神经成像中的现状。与每项开发相关的评价将为进一步开发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.