Testing anatomically specified hypotheses in functional imaging using cytoarchitectonic maps
Testing anatomically specified hypotheses in functional imaging using cytoarchitectonic maps
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DOI：
10.1016/j.neuroimage.2006.04.204
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发表时间：
2006-08-15
期刊：
影响因子：
5.7
通讯作者：
Amunts, Katrin
中科院分区：
文献类型：
--
作者：
Eickhoff, Simon B.;Heim, Stefan;Amunts, Katrin
嵌入式多个测试问题使功能成像数据的统计推断严重复杂。定义一个感兴趣的区域（ROI），该区域假设激活的先验有助于解决此问题，因为在这种情况下，推论仅限于更少的同时测试，从而更敏感。从尸体后大脑获得的细胞结构图提供了客观，这是一种先验ROI，可用于检验有关功能激活定位的解剖学指定的假设。我们在这里分析了基于概率的细胞结构图的三种方法来定义ROI的定义。 （1）由AIL区域的摘要图（最大概率图，mpm）中分配给细胞结构区域的卷定义的卷，（2）基于阈值单个概率图和（3）球形ROI围绕围绕细胞影响力中心构建的ROIS重力。随后评估了所谓的ROI代表各个细胞结构区域的质量及其对检测功能激活的敏感性的质量。我们的数据表明，MPM方法产生了ROI，这最反映了基本的解剖学假设。这些地图在统计分析中还显示出高度的敏感性。因此，我们建议将MPM用于ROI的定义。结合基于高斯随机场理论的阈值结合，可以将这些ROI应用于功能神经信号研究中的解剖学指定假设。 （c）2006 Elsevier Inc.保留所有权利。
The statistical inference on functional imaging data is severely complicated by the embedded multiple testing problem. Defining a region of interest (ROI) where the activation is hypothesized a priori helps to circumvent this problem, since in this case the inference is restricted to fewer simultaneous tests, rendering it more sensitive. Cytoarchitectonic maps obtained from postmortem brains provide objective, a priori ROIs that can be used to test anatomically specified hypotheses about the localization of functional activations. We here analyzed three methods for the definition of ROIs based on probabilistic cytoarchitectonic maps. (1) Rolls defined by the volume assigned to a cytoarchitectonic area in the summary map of ail areas (maximum probability map, MPM), (2) ROIs based on thresholding the individual probabilistic maps and (3) spherical ROIs build around the cytoarchitectonic center of gravity. The quality with which the thus defined ROIs represented the respective cytoarchitectonic areas as well as their sensitivity for detecting functional activations was subsequently statistically evaluated. Our data showed that the MPM method yields ROIs, which reflect most adequately the underlying anatomical hypotheses. These maps also show a high degree of sensitivity in the statistical analysis. We thus propose the use of MPMs for the definition of ROIs. In combination with thresholding based on the Gaussian random field theory, these ROIs can then be applied to test anatomically specified hypotheses in functional neurointaging studies. (c) 2006 Elsevier Inc. All rights reserved.