Eickhoff Simon B, Paus Tomas, Caspers Svenja, Grosbras Marie-Helene, Evans Alan C, Zilles Karl, Amunts Katrin
Institut für Medizin, Forschungszentrum Jülich GmbH, D-52425 Jülich, Germany.
Neuroimage. 2007 Jul 1;36(3):511-21. doi: 10.1016/j.neuroimage.2007.03.060. Epub 2007 Apr 10.
Probabilistic cytoarchitectonic maps in standard reference space provide a powerful tool for the analysis of structure-function relationships in the human brain. While these microstructurally defined maps have already been successfully used in the analysis of somatosensory, motor or language functions, several conceptual issues in the analysis of structure-function relationships still demand further clarification. In this paper, we demonstrate the principle approaches for anatomical localisation of functional activations based on probabilistic cytoarchitectonic maps by exemplary analysis of an anterior parietal activation evoked by visual presentation of hand gestures. After consideration of the conceptual basis and implementation of volume or local maxima labelling, we comment on some potential interpretational difficulties, limitations and caveats that could be encountered. Extending and supplementing these methods, we then propose a supplementary approach for quantification of structure-function correspondences based on distribution analysis. This approach relates the cytoarchitectonic probabilities observed at a particular functionally defined location to the areal specific null distribution of probabilities across the whole brain (i.e., the full probability map). Importantly, this method avoids the need for a unique classification of voxels to a single cortical area and may increase the comparability between results obtained for different areas. Moreover, as distribution-based labelling quantifies the "central tendency" of an activation with respect to anatomical areas, it will, in combination with the established methods, allow an advanced characterisation of the anatomical substrates of functional activations. Finally, the advantages and disadvantages of the various methods are discussed, focussing on the question of which approach is most appropriate for a particular situation.
标准参考空间中的概率性细胞构筑图谱为分析人类大脑的结构-功能关系提供了一个强大的工具。虽然这些基于微观结构定义的图谱已成功用于体感、运动或语言功能的分析，但在结构-功能关系分析中的几个概念性问题仍需进一步阐明。在本文中，我们通过对手势视觉呈现诱发的顶叶前部激活进行示例性分析，展示了基于概率性细胞构筑图谱进行功能激活解剖定位的主要方法。在考虑了体积或局部最大值标记的概念基础和实现方式后，我们对可能遇到的一些潜在解释困难、局限性和注意事项进行了评论。在扩展和补充这些方法的基础上，我们随后提出了一种基于分布分析的结构-功能对应量化补充方法。该方法将在特定功能定义位置观察到的细胞构筑概率与全脑概率的区域特异性零分布（即全概率图谱）相关联。重要的是，该方法避免了将体素唯一分类到单个皮质区域的需要，并且可能会增加不同区域结果之间的可比性。此外，由于基于分布的标记量化了激活相对于解剖区域的“中心趋势”，它将与已建立的方法相结合，允许对功能激活的解剖底物进行高级表征。最后，讨论了各种方法的优缺点，重点关注哪种方法最适合特定情况的问题。
