Comparison of the disparity between Talairach and MNI coordinates in functional neuroimaging data: validation of the Lancaster transform.
Comparison of the disparity between Talairach and MNI coordinates in functional neuroimaging data: validation of the Lancaster transform.
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DOI：
10.1016/j.neuroimage.2010.02.048
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发表时间：
2010-06
期刊：
影响因子：
5.7
通讯作者：
Lancaster, Jack L.
中科院分区：
文献类型：
--
作者：
Laird, Angela R.;Robinson, Jennifer L.;McMillan, Kathryn M.;Tordesillas-Gutierrez, Diana;Moran, Sarah T.;Gonzales, Sabina M.;Ray, Kimberly L.;Franklin, Crystal;Glahn, David C.;Fox, Peter T.;Lancaster, Jack L.
关键词：
神经影像数据的空间归一化是评估群体效应的标准步骤。由于不同的归一化算法或模板导致分析程序的分歧，并非所有公布的坐标都指向相同的神经解剖区域。具体来说，文献中充斥着MNI或Talairach坐标形式的结果，它们的差异会阻碍不同研究结果的比较。这在基于坐标的荟萃分析中变得尤其成问题，其中坐标差异应该纠正以减少错误并促进文献综述。在本研究中，对布雷特变换（即“mni2tal”）和兰开斯特变换（即“icbm2tal”）两种校正进行了定量比较。在标准配对关联任务中获得的功能磁共振成像（fMRI）数据表明，与布雷特变换相比，通过兰开斯特变换可以更好地减小MNI和Talairach坐标之间的差异。此外，配对关联文献的激活似然估计（ALE）荟萃分析显示，当以更少、更小和更强烈的簇的形式使用兰开斯特变换时，获得了更高程度的一致性。基于这些结果，我们建议采用兰开斯特变换作为减少MNI或Talairach坐标报告结果之间差异的社区标准，并建议设计未来的空间归一化策略以尽量减少文献中的这种可变性。
Spatial normalization of neuroimaging data is a standard step when assessing group effects. As a result of divergent analysis procedures due to different normalization algorithms or templates, not all published coordinates refer to the same neuroanatomical region. Specifically, the literature is populated with results in the form of MNI or Talairach coordinates, and their disparity can impede the comparison of results across different studies. This becomes particularly problematic in coordinate-based meta-analyses, wherein coordinate disparity should be corrected to reduce error and facilitate literature reviews. In this study, a quantitative comparison was performed on two corrections, the Brett transform (i.e., “mni2tal”), and the Lancaster transform (i.e., “icbm2tal”). Functional magnetic resonance imaging (fMRI) data acquired during a standard paired associates task indicated that the disparity between MNI and Talairach coordinates was better reduced via the Lancaster transform, as compared to the Brett transform. In addition, an activation likelihood estimation (ALE) meta-analysis of the paired associates literature revealed that a higher degree of concordance was obtained when using the Lancaster transform in the form of fewer, smaller, and more intense clusters. Based on these results, we recommend that the Lancaster transform be adopted as the community standard for reducing disparity between results reported as MNI or Talairach coordinates, and suggest that future spatial normalization strategies be designed to minimize this variability in the literature.
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