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迈向丘脑的通用术语。

Toward a Common Terminology for the Thalamus.

作者信息

Mai Jürgen K, Majtanik Milan

机构信息

Institute for Anatomy, Heinrich-Heine-University, Duesseldorf, Germany.

Institute of Informatics, Heinrich-Heine-University, Duesseldorf, Germany.

出版信息

Front Neuroanat. 2019 Jan 11;12:114. doi: 10.3389/fnana.2018.00114. eCollection 2018.

Abstract

The wealth of competing parcellations with limited cross-correspondence between atlases of the human thalamus raises problems in a time when the usefulness of neuroanatomical methods is increasingly appreciated for modern computational analyses of the brain. An unequivocal nomenclature is, however, compulsory for the understanding of the organization of the thalamus. This situation cannot be improved by renewed discussion but with implementation of neuroinformatics tools. We adopted a new volumetric approach to characterize the significant subdivisions and determined the relationships between the parcellation schemes of nine most influential atlases of the human thalamus. The volumes of each atlas were 3d-reconstructed and spatially registered to the standard MNI/ICBM2009b reference volume of the Human Brain Atlas in the MNI (Montreal Neurological Institute) space (Mai and Majtanik, 2017). This normalization of the individual thalamus shapes allowed for the comparison of the nuclear regions delineated by the different authors. Quantitative cross-comparisons revealed the extent of predictability of territorial borders for 11 area clusters. In case of discordant parcellations we re-analyzed the underlying histological features and the original descriptions. The final scheme of the spatial organization provided the frame for the selected terms for the subdivisions of the human thalamus using on the (modified) terminology of the Federative International Programme for Anatomical Terminology (FIPAT). Waiving of exact individual definition of regional boundaries in favor of the statistical representation within the open MNI platform provides the common and objective (standardized) ground to achieve concordance between results from different sources (microscopy, imaging etc.).

摘要

人类丘脑图谱之间相互竞争的分区众多,且相互之间的对应关系有限,这在当今神经解剖学方法对于现代大脑计算分析的实用性日益受到重视的时代引发了诸多问题。然而,明确的命名法对于理解丘脑的组织结构而言是必不可少的。这种情况无法通过重新讨论得到改善,而需要借助神经信息学工具来解决。我们采用了一种新的体积分析方法来表征重要的细分区域,并确定了九本最具影响力的人类丘脑图谱分区方案之间的关系。将每本图谱的体积进行三维重建,并在MNI(蒙特利尔神经病学研究所)空间中与人类大脑图谱的标准MNI/ICBM2009b参考体积进行空间配准(Mai和Majtanik,2017年)。对个体丘脑形状进行这种归一化处理后,便能够比较不同作者所划定的核区域。定量交叉比较揭示了11个区域簇的边界区域可预测性程度。对于不一致的分区,我们重新分析了其潜在的组织学特征和原始描述。空间组织的最终方案为使用国际解剖学术语联合会计划(FIPAT)(修订版)术语来选定人类丘脑细分区域的术语提供了框架。在开放的MNI平台内,放弃对区域边界进行精确的个体定义,转而采用统计表示法,为实现不同来源(显微镜检查、成像等)结果之间的一致性提供了共同且客观(标准化)的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd88/6336698/87a603c29e33/fnana-12-00114-g0001.jpg

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