Allometric scaling of brain regions to intra-cranial volume: An epidemiological MRI study.
Allometric scaling of brain regions to intra-cranial volume: An epidemiological MRI study.
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DOI：
10.1002/hbm.23351
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发表时间：
2017-01
影响因子：
4.8
通讯作者：
Launer, Lenore J.
中科院分区：
文献类型：
--
作者：
de Jong, Laura W.;Vidal, Jean-Sebastien;Forsberg, Lars E.;Zijdenbos, Alex P.;Haight, Thaddeus;Sigurdsson, Sigurdur;Gudnason, Vilmundur;van Buchem, Mark A.;Launer, Lenore J.
关键词：
越来越多的证据表明，大脑的子结构与大脑的总尺寸异速生长，即以非比例和非线性的方式。在这里，我们研究了不同的感兴趣体积（VOI）的颅内体积（ICV）的缩放。评估缩放是异速生长还是等距生长，以及缩放系数是否彼此显着不同。我们还测试了在何种程度上异速生长标度的VOI介绍了自动分割技术。此外，异速生长标度的再现性在不同年龄组和研究人群中进行了研究。研究样本包括来自基于社区的年龄基因/环境易感性-雷克雅未克研究（AGES-Reykjavik Study）（N=3883）、年轻人冠状动脉风险发展研究（CARDIA）（N =709）和阿尔茨海默病神经影像学倡议（ADNI）（N=180）的认知健康成人样本。数据包括不同年龄、种族、风险因素特征的参与者，以及使用不同自动MRI分割技术获得的ICV和VOI。我们的分析表明，1。异速生长比例是大脑所有部分的特征，2。新皮质白色物质、新皮质灰质和包括小脑在内的深层灰质结构的缩放彼此显著不同，并且3。大脑结构的异速生长比例不能仅由年龄相关的萎缩、性别、种族或来自研究特定分割算法的系统性偏倚来解释，但似乎是大脑几何结构的真实特征。
There is growing evidence that sub-structures of the brain scale allometrically to total brain size, i.e. in a non-proportional and non-linear way. Here, we examined scaling of different volumes of interest (VOI) to intra-cranial volume (ICV). It was assessed whether scaling was allometric or isometric and whether scaling coefficients significantly differed from each other. We also tested to what extent allometric scaling of VOI was introduced by the automated segmentation technique. Furthermore, reproducibility of allometric scaling was studied across different age groups and study populations. Study samples included samples of cognitively healthy adults from the community-based Age Gene/Environment Susceptibility-Reykjavik Study (AGES-Reykjavik Study) (N=3883), the Coronary Artery Risk Development in Young Adults Study (CARDIA) (N =709) and the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (N=180). Data encompassed participants with different age, ethnicity, risk factor profile, and ICV and VOI obtained with different automated MRI segmentation techniques. Our analysis showed that 1. Allometric scaling is a trait of all parts of the brain, 2. Scaling of neo-cortical white matter, neo-cortical gray matter, and deep gray matter structures including the cerebellum are significantly different from each other and 3. Allometric scaling of brain structures cannot solely be explained by age-associated atrophy, sex, ethnicity, or a systematic bias from study - specific segmentation algorithm, but appears to be a true feature of brain geometry.
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