MAPBOT: Meta-analytic parcellation based on text, and its application to the human thalamus.
MAPBOT: Meta-analytic parcellation based on text, and its application to the human thalamus.
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MAPBOT：基于文本的荟萃分析及其对人丘脑的应用。
DOI：
10.1016/j.neuroimage.2017.06.032
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发表时间：
2017-08-15
期刊：
影响因子：
5.7
通讯作者：
Biswal BB
中科院分区：
文献类型：
--
作者：
Yuan R;Taylor PA;Alvarez TL;Misra D;Biswal BB
神经影像结果的荟萃分析已被证明是研究人类大脑功能的流行且有价值的方法。许多研究使用荟萃分析来划分不同的大脑区域。进行荟萃分析的一种流行方法通常是基于许多已发表论文中报告的激活坐标。然而，除了与不同大脑区域相关的坐标之外，文本本身还包含大量附加信息。这些文本信息在荟萃分析中很大程度上被忽略了，它可能有助于同时分割大脑区域并研究其特征。通过利用文档聚类技术的最新进展，我们引入了一种方法，主要根据大量研究中文档中存在的文本特征，将大脑分割成有意义的区域。这种新方法称为 MAPBOT（基于文本的元分析分割）。在这里，我们首先描述该方法的工作原理，然后描述了解丘脑细分的应用案例。选择丘脑是因为有大量研究报告研究了健康和临床人群的这种功能和结构结构。然而，MAPBOT 是一种通用方法，适用于分割大脑的任何区域。本研究证明了使用神经影像学研究中的文本信息来分割大脑区域的强大实用性。
Meta-analysis of neuroimaging results has proven to be a popular and valuable method to study human brain functions. A number of studies have used meta-analysis to parcellate distinct brain regions. A popular way to perform meta-analysis is typically based on the reported activation coordinates from a number of published papers. However, in addition to the coordinates associated with the different brain regions, the text itself contains considerably amount of additional information. This textual information has been largely ignored in meta-analyses where it may be useful for simultaneously parcellating brain regions and studying their characteristics. By leveraging recent advances in document clustering techniques, we introduce an approach to parcellate the brain into meaningful regions primarily based on the text features present in a document from a large number of studies. This new method is called MAPBOT (Meta-Analytic Parcellation Based On Text). Here, we first describe how the method works and then the application case of understanding the sub-divisions of the thalamus. The thalamus was chosen because of the substantial body of research that has been reported studying this functional and structural structure for both healthy and clinical populations. However, MAPBOT is a general-purpose method that is applicable to parcellating any region(s) of the brain. The present study demonstrates the powerful utility of using text information from neuroimaging studies to parcellate brain regions.
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