METANALYSIS COGNITIVE NEUROIMAGING: METHODS VALIDATIONS

本研究计划的目的是推进使用定量元分析作为人类功能脑映射的研究方法。 这将通过测试、改进和分发PI及其同事在德克萨斯大学圣安东尼奥健康科学中心（UTHSCSA）开发的荟萃分析策略和软件工具来完成。 Fox及其同事开发了一种新的策略，用于人脑映射文献功能组织的元分析建模，称为功能体积模型（FVM）。 FVM计算心理操作的大脑位置的空间概率分布。 Fox和他的同事们还开发了一个电子环境（BrainMap），用于编码、检索和可视化人脑映射文献，作为元分析的辅助工具。BrainMap包括用于所使用的行为和实验映射的心理操作的编码方案（分层语义），称为行为编码方案（BCS）。 在本提案中，FVM元分析策略（目标1）和BCS（目标2）将在福克斯和UTHSCSA的同事以及华盛顿大学Raichle和Petersen小组的合作中得到验证和完善。 FVM策略将通过使用两种替代策略（原始数据元分析和基于文献的元分析（FVM））对12个与语言相关的大脑区域进行建模来验证。 原始数据元分析将通过访问参与组的广泛的图像数据档案成为可能。 建模假设和结果将接受独立测试（目标1）。 行为编码方案将通过对来自脑映射文献的30张纸样本进行编码并分析其综合性、再现性和准确性来验证（目标2）。 BCS的验证是研究者将数据输入BrainMap的必要前提。 元分析的一般策略和规则将在一年两次的研讨会上在资助人员和受邀顾问中讨论，包括FVM策略、BCS和BrainMap环境的改进（目标3）。 BrainMap将不断修改，以适应本项目（目标3）产生的已确定的战略、程序、编码方案和数据。 还将通过出版物和在脑图绘制和信息学界会议上举办讲习班，向社区介绍战略和准则。 由于这种元分析的方法是新的，与以前的元分析形式有很大的不同，信息学领域将从新分析范式的验证中受益。

The objective of this research proposal is to advance the use of quantitative metanalysis as a research method for human functional brain mapping. This will done by testing, refining and distributing strategies and software tools for metanalysis developed by the PI and colleagues at the University of Texas Health Science Center at San Antonio (UTHSCSA). Fox and colleagues have developed a new strategy for metanalytic modeling of the functional organization of the human brain-mapping literature, termed functional volumes models (FVM). FVM computes spatial probability profiles of the brain locations of mental operations. Fox and colleagues have also developed an electronic environment (BrainMap) for encoding, retrieval and visualization of the human brain mapping literature, as an aid to metanalysis. BrainMap includes a coding scheme (a hierarchical semantics) for the behaviors used and mental operations experimentally mapped, termed the Behavioral Coding Scheme (BCS). In the present proposal, the FVM metanalysis strategy (Aim 1) and the BCS (Aim 2) will be validated and refined in a collaboration between Fox and colleagues at UTHSCSA and the Washington University group of Raichle and Petersen. The FVM strategy will be validated by modeling 12, language-related brain areas using two, alternative strategies: original-data metanalysis and literature-based metanalysis (FVM). Original-data metanalysis will be made possible by accessing the extensive image-data archives of the participating groups. Modeling assumptions and results will be independently tested (Aim 1). The behavioral coding scheme will be validated by coding three, 30-paper samples from the brain-mapping literature and analyzing for comprehensivity, reproducibility, and accuracy (Aim 2). Validation of the BCS is a necessary precursor to investigator entry of data into BrainMap. General strategies and rules for metanalysis will be addressed at biannual workshops amongst grant personnel and invited consultants, including refinements of the FVM strategy, the BCS, and the BrainMap environment (Aim 3). BrainMap will be modified in an ongoing manner, to accommodate identified strategies, procedures, coding schemes and data produced by this project (Aim 3). Strategies and guidelines will also be presented to the community through publications and workshops at meetings of the brain mapping and informatics communities. As this approach to metanalysis is new and substantially different from prior forms of metanalysis, the field of informatics stands to benefit from the validation of a new analysis paradigm.