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人类小脑的空间无偏图谱模板。

A spatially unbiased atlas template of the human cerebellum.

作者信息

Diedrichsen Jörn

机构信息

Laboratory for Computational Motor Control, Department for Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

出版信息

Neuroimage. 2006 Oct 15;33(1):127-38. doi: 10.1016/j.neuroimage.2006.05.056. Epub 2006 Aug 14.

Abstract

This article presents a new high-resolution atlas template of the human, cerebellum and brainstem, based on the anatomy of 20 young healthy individuals. The atlas is spatially unbiased, i.e., the location of each structure is equal to the expected location of that structure across individuals in MNI space, a result that is cross-validated with an independent sample of 16 individuals. At the same time, the new template preserves the anatomical detail of cerebellar structures through a nonlinear atlas generation algorithm. In comparison to current whole-brain templates, it allows for an improved voxel-by-voxel normalization for functional MRI and lesion analysis. Alignment to the template requires that the cerebellum and brainstem are isolated from the surrounding tissue, a process for which an automated algorithm has been developed. Compared to normalization to the MNI whole-brain template, the new method strongly improves the alignment of individual fissures, reducing their spatial spread by 60%, and improves the overlap of the deep cerebellar nuclei. Applied to functional MRI data, the new normalization technique leads to a 5-15% increase in peak t values and in the activated volume in the cerebellar cortex for movement vs. rest contrasts. This indicates that the new template significantly improves the overlap of functionally equivalent cerebellar regions across individuals. The template and software are freely available as an SPM-toolbox, which also allows users to relate the new template to the annotated volumetric (Schmahmann, J.D., Doyon, J., Toga, A., Petrides, M., Evans, A. (2000). MRI atlas of the human cerebellum. San Diego: Academic Press) and surface-based (Van Essen, D.C. (2002a) Surface-based atlases of cerebellar cortex in the human, macaque, and mouse. Ann. N. Y. Acad. Sci. 978:468-479.) atlas of one individual, the "colin27"-brain.

摘要

本文基于20名年轻健康个体的解剖结构,呈现了一种全新的人类小脑和脑干高分辨率图谱模板。该图谱在空间上无偏差,即每个结构的位置等同于其在MNI空间中个体间的预期位置,这一结果通过对16名个体的独立样本进行交叉验证。同时,新模板通过非线性图谱生成算法保留了小脑结构的解剖细节。与当前的全脑模板相比,它为功能磁共振成像和病变分析提供了改进的逐体素归一化。与模板对齐要求将小脑和脑干与周围组织分离,为此已开发出一种自动算法。与归一化到MNI全脑模板相比,新方法显著改善了个体脑沟的对齐,使其空间扩散减少了60%,并提高了小脑深部核团的重叠度。应用于功能磁共振成像数据时,新的归一化技术使运动与静息对比中小脑皮质的峰值t值和激活体积增加了5% - 15%。这表明新模板显著改善了个体间功能等效小脑区域的重叠度。该模板和软件可作为一个SPM工具箱免费获取,它还允许用户将新模板与一个个体(“colin27”脑)的注释体积图谱(施马曼,J.D.,多扬,J.,托加,A.,佩特里德斯,M.,埃文斯,A.(2000年)。人类小脑的磁共振成像图谱。圣地亚哥:学术出版社)和基于表面的图谱(范埃森,D.C.(2002a年)。人类、猕猴和小鼠小脑皮质的基于表面的图谱。纽约科学院学报。978:468 - 479)相关联。

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