Influence of Processing Tools on fMRI Metanalyses

描述（由申请人提供）：定量元分析是将局部神经群与认知操作联系起来的有效策略。通过对已发表的观察结果进行分组，定量元分析可以收集趋同的证据，以创建基本认知操作和支持复杂任务的认知操作集合的神经解剖学和认知明确模型。在过去的四年里，PI和研究成像中心（RIC）的同事已经开发并验证了元分析策略。有效进行元分析的电子环境（BrainMap）是可操作的。然而，目前，元分析策略并不能纠正图像处理和数据分析中使用的信息学工具之间的差异。目前，不同的信息学工具，特别是空间归一化、统计方法和推断，混淆了结果。因此，评估和理解不同信息学工具对元分析和神经影像学结果的影响非常重要。基于我们目前的工作和正在进行的NIH奖励（题为“认知神经成像中的元分析：方法验证”），本应用程序寻求进一步完善和扩展建模，以解释信息学工具的影响，并包括统计参数图像的元分析。本应用程序的总体目标是通过评估和最小化不同信息学工具的影响，推进定量元分析作为功能性人脑制图的研究方法的使用。将评估不同空间归一化程序对报告功能激活位置的影响（目的1）。不同统计分析和统计推断策略对功能激活检测的影响将扩展到包括共享统计参数图像的分析（目标4）。通过该应用程序开发的策略、指南、统计模型、电子工具和数据集将通过出版物、互联网和社区演示与大脑测绘社区共享。一旦经过彻底的批评和改进，将这些工具/策略整合到电子环境（BrainMap）中以供公众分发是我们的下一个目标。

DESCRIPTION (provided by applicant): Quantitative metanalysis is an effective strategy for associating localized neural populations with cognitive operations. By grouping published observations, quantitative metanalysis can assemble converging evidence to create neuroanatomically and cognitively explicit models of elementary cognitive operations and of ensembles of cognitive operations supporting complex tasks. Metanalysis strategies have been developed and validated by the PI and colleagues at the Research Imaging Center (RIC) for the last four years. An electronic environment (BrainMap) for effectively carrying out metanalyses is operational. At present, the metanalysis strategy, however, does not correct for differences among the informatics tools used in image processing and data analysis. Currently, results are confounded by different informatics tools, in particular by spatial normalization, statistical methods and inferences. Assessing and understanding effects of different informatics tools on metanalysis and neuroimaging results are therefore very important. Building upon our current work and an ongoing NIH reward (entitled "Metanalysis in Cognitive Neuroimaging: Methods Validations"), the present application seeks to further refine and extend modeling to account for the effects of informatics tools and to include metanalyses with statistical parametric images. The overall objective of this application is then to advance the use of quantitative metanalysis as a research method for functional human brain mapping by assessing and minimizing the effects of different informatics tools. The effects of different spatial normalization procedures on reported locations of functional activations will be assessed (Aim 1). The effects of different statistical analyses and statistical inference strategies on detection of functional activations will be extended to include analysis of shared statistical parametric images (Aim 4). The strategies, guidelines, statistical models, electronic tools, and data sets developed through this application will be shared with the brain-mapping community through publications, Internet and community presentations. Once thoroughly critiqued and refined, integration of these tools/strategies into an electronic environment (BrainMap) for public distribution is our next objective.