ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas.
ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas.
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DOI：
10.3389/neuro.11.023.2009
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发表时间：
2009
影响因子：
3.5
通讯作者：
Fox PT
中科院分区：
文献类型：
--
作者：
Laird AR;Eickhoff SB;Kurth F;Fox PM;Uecker AM;Turner JA;Robinson JL;Lancaster JL;Fox PT
随着人类脑功能图谱研究的不断增加，已经产生了大量的数据，这些数据已经准备好进行大规模的合成和建模。BrainMap数据库存档了发表的神经成像研究的峰值坐标，以及总结实验设计的相应元数据。BrainMap旨在促进文献中报告的神经成像结果的定量荟萃分析，并支持使用激活似然估计(ALE)方法。在本文中，我们讨论了使用BrainMap数据库和基于坐标的ALE元分析可能进行的潜在分析，以及如何应用这些工具来创建描述功能-结构对应的概率图集和本体系统的一些例子。
With the ever-increasing number of studies in human functional brain mapping, an abundance of data has been generated that is ready to be synthesized and modeled on a large scale. The BrainMap database archives peak coordinates from published neuroimaging studies, along with the corresponding metadata that summarize the experimental design. BrainMap was designed to facilitate quantitative meta-analysis of neuroimaging results reported in the literature and supports the use of the activation likelihood estimation (ALE) method. In this paper, we present a discussion of the potential analyses that are possible using the BrainMap database and coordinate-based ALE meta-analyses, along with some examples of how these tools can be applied to create a probabilistic atlas and ontological system of describing function–structure correspondences.