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Age- and memory- related differences in hippocampal gray matter integrity are better captured by NODDI compared to single-tensor diffusion imaging.与单指数扩散成像相比,NODDI 能更好地捕捉到与年龄和记忆相关的海马灰质完整性差异。
Neurobiol Aging. 2020 Dec;96:12-21. doi: 10.1016/j.neurobiolaging.2020.08.004. Epub 2020 Aug 12.
2
From a deep learning model back to the brain-Identifying regional predictors and their relation to aging.从深度学习模型回到大脑——识别与衰老相关的区域预测因子及其关系。
Hum Brain Mapp. 2020 Aug 15;41(12):3235-3252. doi: 10.1002/hbm.25011. Epub 2020 Apr 22.
3
Fluid intelligence is associated with cortical volume and white matter tract integrity within multiple-demand system across adult lifespan.流体智力与成年期多个需求系统内的皮质体积和白质束完整性有关。
Neuroimage. 2020 May 15;212:116576. doi: 10.1016/j.neuroimage.2020.116576. Epub 2020 Feb 24.
4
Crystallized and fluid intelligence are predicted by microstructure of specific white-matter tracts.晶体智力和流体智力由特定白质束的微观结构预测。
Hum Brain Mapp. 2020 Mar;41(4):906-916. doi: 10.1002/hbm.24848. Epub 2019 Nov 5.
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Characterization of age-related microstructural changes in locus coeruleus and substantia nigra pars compacta.蓝斑和黑质致密部与年龄相关的微观结构变化特征
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6
Improved prediction of brain age using multimodal neuroimaging data.利用多模态神经影像学数据提高脑龄预测精度。
Hum Brain Mapp. 2020 Apr 15;41(6):1626-1643. doi: 10.1002/hbm.24899. Epub 2019 Dec 14.
7
A neural-vascular complex of age-related changes in the human brain: Anatomy, physiology, and implications for neurocognitive aging.人类大脑与年龄相关的神经血管复合体变化:解剖学、生理学及对神经认知老化的影响。
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A novel patch-based procedure for estimating brain age across adulthood.一种新的基于补丁的方法,用于估计成年期的大脑年龄。
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Brain structure, cognition, and brain age in schizophrenia, bipolar disorder, and healthy controls.精神分裂症、双相情感障碍和健康对照组的大脑结构、认知和脑龄。
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对年轻人和老年人大脑灰质和白质的脑龄估计:洞察人类智力。

Estimates of brain age for gray matter and white matter in younger and older adults: Insights into human intelligence.

机构信息

Center for BrainHealth®, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, USA.

Center for BrainHealth®, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, USA; Department of Psychology, University of California, Riverside, Riverside, CA, USA.

出版信息

Brain Res. 2021 Jul 15;1763:147431. doi: 10.1016/j.brainres.2021.147431. Epub 2021 Mar 15.

DOI:10.1016/j.brainres.2021.147431
PMID:33737067
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8428193/
Abstract

Aging entails a multifaceted complex of changes in macro- and micro-structural properties of human brain gray matter (GM) and white matter (WM) tissues, as well as in intellectual abilities. To better capture tissue-specific brain aging, we combined volume and distribution properties of diffusivity indices to derive subject-specific age scores for each tissue. We compared age-related variance between younger and older adults for GM and WM age scores, and tested whether tissue-specific age scores could explain different effects of aging on fluid (Gf) and crystalized (Gc) intelligence in younger and older adults. Chronological age was strongly associated with GM (R = 0.73) and WM (R = 0.57) age scores. The GM age score accounted for significantly more variance in chronological age in younger relative to older adults (p < 0.001), whereas the WM age score accounted for significantly more variance in chronological age in older compared to younger adults (p < 0.025). Consistent with existing literature, younger adults outperformed older adults in Gf while older adults outperformed younger adults in Gc. The GM age score was negatively associated with Gf in younger adults (p < 0.02), whereas the WM age score was negatively associated with Gc in older adults (p < 0.02). Our results provide evidence for differences in the effects of age on GM and WM in younger versus older adults that may contribute to age-related differences in Gf and Gc.

摘要

衰老涉及到人类大脑灰质 (GM) 和白质 (WM) 组织的宏观和微观结构特性以及智力能力的多方面复杂变化。为了更好地捕捉组织特异性的大脑衰老,我们将扩散指数的体积和分布特性结合起来,为每个组织得出特定于个体的年龄分数。我们比较了 GM 和 WM 年龄分数在年轻和老年成年人之间的年龄相关方差,并测试了组织特异性年龄分数是否可以解释衰老对年轻和老年成年人液体智力 (Gf) 和晶体智力 (Gc) 的不同影响。实际年龄与 GM (R = 0.73) 和 WM (R = 0.57) 年龄分数呈强相关。GM 年龄分数在年轻成年人中与实际年龄的相关性明显高于老年成年人(p < 0.001),而 WM 年龄分数在老年成年人中与实际年龄的相关性明显高于年轻成年人(p < 0.025)。与现有文献一致,年轻成年人在 Gf 方面的表现优于老年成年人,而老年成年人在 Gc 方面的表现优于年轻成年人。GM 年龄分数与年轻成年人的 Gf 呈负相关(p < 0.02),而 WM 年龄分数与老年成年人的 Gc 呈负相关(p < 0.02)。我们的研究结果提供了证据,表明 GM 和 WM 在年轻成年人和老年成年人中的年龄影响存在差异,这可能导致 Gf 和 Gc 的年龄相关差异。