小脑
空间归一化
计算机科学
传出的
神经影像学
规范化(社会学)
概率逻辑
地图集(解剖学)
人工智能
模式识别(心理学)
脑图谱
大脑定位
神经科学
传入的
解剖
生物
体素
人类学
社会学
作者
Jörn Diedrichsen,Joshua H. Balsters,Jonathan C. Flavell,Emma Cussans,Narender Ramnani
出处
期刊:NeuroImage
[Elsevier]
日期:2009-05-15
卷期号:46 (1): 39-46
被引量:1198
标识
DOI:10.1016/j.neuroimage.2009.01.045
摘要
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 define 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.
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