Age and sex effects on advanced white matter microstructure measures in 15,628 older adults: A UK biobank study.

Age and sex effects on advanced white matter microstructure measures in 15,628 older adults: A UK biobank study.
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年龄和性别对15628名老年人高级白质微结构测量的影响:英国生物银行研究。

DOI:
10.1007/s11682-021-00548-y
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发表时间:
2021-12
影响因子:
3.2
通讯作者:
Thompson PM
Thompson PM
中科院分区:
医学3区
文献类型:
--
作者:
Lawrence KE;Nabulsi L;Santhalingam V;Abaryan Z;Villalon-Reina JE;Nir TM;Ba Gari I;Zhu AH;Haddad E;Muir AM;Laltoo E;Jahanshad N;Thompson PM

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对大脑白质的全面描述对于提高我们对健康和疾病衰老的理解至关重要。在这里,我们使用扩散加权磁共振成像(DMRI)来估计年龄和性别对白质微观结构的影响,横断面样本为15,628名45-80岁的成年人(47.6%男性,52.4%女性)。微结构的评估使用以下四种模型:传统的单壳模型,扩散张量成像(DTI);更先进的单壳模型,张量分布函数(TDF);先进的多壳模型,轴突取向弥散和密度成像(NODI);以及另一种先进的多壳模型,平均表观传播磁共振成像(MAPMRI)。使用数据驱动的统计方法对年龄进行建模,并创建标准百分位数曲线以提供按性别分层的白质参考图。参与者的年龄和性别在很大程度上影响了整个大脑白质微观结构的许多方面,先进的dMRI模型TDF和NODI检测这种影响最敏感。这些发现和标准参考曲线为健康和疾病脑老化的研究提供了重要的基础。网上版载有补充材料,可在10.1007/s11682-021-00548-y查阅。
A comprehensive characterization of the brain’s white matter is critical for improving our understanding of healthy and diseased aging. Here we used diffusion-weighted magnetic resonance imaging (dMRI) to estimate age and sex effects on white matter microstructure in a cross-sectional sample of 15,628 adults aged 45–80 years old (47.6% male, 52.4% female). Microstructure was assessed using the following four models: a conventional single-shell model, diffusion tensor imaging (DTI); a more advanced single-shell model, the tensor distribution function (TDF); an advanced multi-shell model, neurite orientation dispersion and density imaging (NODDI); and another advanced multi-shell model, mean apparent propagator MRI (MAPMRI). Age was modeled using a data-driven statistical approach, and normative centile curves were created to provide sex-stratified white matter reference charts. Participant age and sex substantially impacted many aspects of white matter microstructure across the brain, with the advanced dMRI models TDF and NODDI detecting such effects the most sensitively. These findings and the normative reference curves provide an important foundation for the study of healthy and diseased brain aging. The online version contains supplementary material available at 10.1007/s11682-021-00548-y.
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