Toward a unified analysis of cerebellum maturation and aging across the entire lifespan: A MRI analysis.

Toward a unified analysis of cerebellum maturation and aging across the entire lifespan: A MRI analysis.
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DOI:
10.1002/hbm.25293
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发表时间:
2021-04-01
影响因子:
4.8
通讯作者:
Alzheimer's Disease Neuroimaging Initiative
Alzheimer's Disease Neuroimaging Initiative
中科院分区:
医学2区
文献类型:
--
作者:
Romero JE;Coupe P;Lanuza E;Catheline G;Manjón JV;Alzheimer's Disease Neuroimaging Initiative

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先前关于人类小脑结构特征的文献与特定病理学背景相关或集中在有限的年龄范围内。事实上,关于小脑整个生命周期成熟的研究很少,而且大多数研究都将小脑视为一个整体,而没有研究每个小叶。研究的缺乏可以用缺乏准确的分割方法和数据可用性来解释。幸运的是,在过去的几年中,已经开发了几种小脑分割方法,并且许多包含不同年龄受试者的数据库已经公开。这一事实为对小脑成熟和衰老进行更广泛的分析打开了机会之窗。在这项研究中,我们使用了一种最新的小脑分割方法,称为 CERES 和来自健康对照的覆盖整个生命周期的大数据集(N = 2,831 张图像),为 12 个小脑结构(即小叶 I-II、III、IV、VI、Crus I、Crus II、VIIB、VIIIA、VIIIB、IX 和 X)。我们发现,小叶通常遵循由快速生长和缓慢退化组成的轨迹的演化,有时绝对体积有一个平台期,并且标准化体积有下降趋势(在早期更快)。特别考虑的是小腿 II,其中绝对体积的缓慢退化似乎在老年时期稳定下来,以及 X 小叶,其绝对体积在儿童时期没有出现任何快速增长,并且显示出标准化体积的缓慢增长。在这项工作中,我们使用 2,512 个公开的大脑图像提供了小脑小叶和组织在整个生命周期的生长模型。
Previous literature about the structural characterization of the human cerebellum is related to the context of a specific pathology or focused in a restricted age range. In fact, studies about the cerebellum maturation across the lifespan are scarce and most of them considered the cerebellum as a whole without investigating each lobule. This lack of study can be explained by the lack of both accurate segmentation methods and data availability. Fortunately, during the last years, several cerebellum segmentation methods have been developed and many databases comprising subjects of different ages have been made publically available. This fact opens an opportunity window to obtain a more extensive analysis of the cerebellum maturation and aging. In this study, we have used a recent state‐of‐the‐art cerebellum segmentation method called CERES and a large data set (N = 2,831 images) from healthy controls covering the entire lifespan to provide a model for 12 cerebellum structures (i.e., lobules I‐II, III, IV, VI, Crus I, Crus II, VIIB, VIIIA, VIIIB, IX, and X). We found that lobules have generally an evolution that follows a trajectory composed by a fast growth and a slow degeneration having sometimes a plateau for absolute volumes, and a decreasing tendency (faster in early ages) for normalized volumes. Special consideration is dedicated to Crus II, where slow degeneration appears to stabilize in elder ages for absolute volumes, and to lobule X, which does not present any fast growth during childhood in absolute volumes and shows a slow growth for normalized volumes. In this work, we provide growth models for cerebellum lobules and tissues across the entire lifespan using 2,512 publicly available brain images.
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