A probabilistic MR atlas of the human cerebellum
A probabilistic MR atlas of the human cerebellum
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DOI：
10.1016/j.neuroimage.2009.01.045
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发表时间：
2009-05-15
期刊：
影响因子：
5.7
通讯作者：
Ramnani, Narender
中科院分区：
文献类型：
--
作者：
Diedrichsen, Joern;Balsters, Joshua H.;Ramnani, Narender
小脑的功能组织在很大程度上反映了单个小脑小叶的独特传入和传出的连通性。这种功能多样性在相对较小的空间尺度上为人类功能成像和基于解剖患者的研究提供了准确的定位方法必不可少的。在这里，我们介绍了由MNI152模板定义的解剖空间中小脑小叶的概率地图集。我们分别掩盖了20名健康年轻参与者（10名男性，10名女性，平均年龄23.7岁）的T1加权MRI扫描（1毫米各向同性分辨率）。然后将这些小脑使用多种常用的归一化算法或先前发表的仅在小脑的模板（Diedrichsen，J.，2006年。人类小脑的模板。对于仅小脑模板，所得的平均重叠率高于任何整个脑归一化方法。概率图允许将功能激活的有效分配给特定的小脑小叶，同时提供了对此类分配不确定性的定量度量。此外，可以使用从这些地图酶得出的最大概率图来DE。在功能性神经影像学和神经解剖学研究中，感兴趣的NE区域（ROI）。在线免费提供的地图集与许多广泛使用的分析软件包兼容。 （c）2009年由Elsevier Inc.发布
The functional organization of the cerebellum is reflected in large part by the unique afferent and efferent connectivity of the individual cerebellar lobules. This functional diversity on a relatively small spatial scale makes accurate localization methods for human functional imaging and anatomical patient-based research indispensable. Here we present a probabilistic atlas of the cerebellar lobules in the anatomical space defined by the MNI152 template. We separately masked the lobules on T1-weighted MRI scans (1 mm isotropic resolution) of 20 healthy young participants (10 male, 10 female, average age 23.7 yrs). These cerebella were then aligned to the standard or non-linear version of the whole-brain MNI152 template using a number of commonly used normalization algorithms, or to a previously published cerebellum-only template (Diedrichsen, J., 2006. A spatially unbiased atlas template of the human cerebellum. NeuroImage 33, 127-138.). The resulting average overlap was higher for the cerebellum-only template than for any of the whole-brain normalization methods. The probabilistic maps allow for the valid assignment of functional activations to specific cerebellar lobules, while providing a quantitative measure of the uncertainty of such assignments. Furthermore, maximum probability maps derived from these atlases can be used to de. ne regions of interest (ROIs) in functional neuroimaging and neuroanatomical research. The atlas, made freely available online, is compatible with a number of widely used analysis packages. (C) 2009 Published by Elsevier Inc.