Brain age and other bodily 'ages': implications for neuropsychiatry.
Brain age and other bodily 'ages': implications for neuropsychiatry.
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DOI：
10.1038/s41380-018-0098-1
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发表时间：
2019-03
影响因子：
11
通讯作者：
Deary IJ
中科院分区：
文献类型：
--
作者：
Cole JH;Marioni RE;Harris SE;Deary IJ
随着我们的大脑年龄的增长，我们往往会经历认知能力下降，患神经退行性疾病和痴呆症的风险更大。慢性神经精神疾病的症状也会在衰老过程中加剧。然而，衰老过程对人的影响并不一致;事实上，即使在一个人身上，衰老过程似乎也不一致。在这里，我们概述了最近的神经影像学研究大脑老化和使用其他身体老化的生物标志物，包括端粒长度，表观遗传时钟和握力。其中一些技术，使用统计方法，有能力预测健康人的实际年龄。此外，它们现在正被应用于神经和精神疾病组，以深入了解这些疾病如何与衰老过程相互作用，并提供有关未来大脑和身体健康的个性化预测。我们讨论了整合不同类型的生物测量的重要性，从大脑和身体的其他部分，建立更全面的模型的生物老化过程。最后，我们提出了未来几年脑老化研究领域需要采取的七个步骤。这将有助于我们实现开发临床适用的生物过程统计模型的长期目标，以测量，跟踪和预测衰老和疾病中的大脑和身体健康。
As our brains age, we tend to experience cognitive decline and are at greater risk of neurodegenerative disease and dementia. Symptoms of chronic neuropsychiatric diseases are also exacerbated during ageing. However, the ageing process does not affect people uniformly; nor, in fact, does the ageing process appear to be uniform even within an individual. Here, we outline recent neuroimaging research into brain ageing and the use of other bodily ageing biomarkers, including telomere length, the epigenetic clock, and grip strength. Some of these techniques, using statistical approaches, have the ability to predict chronological age in healthy people. Moreover, they are now being applied to neurological and psychiatric disease groups to provide insights into how these diseases interact with the ageing process and to deliver individualised predictions about future brain and body health. We discuss the importance of integrating different types of biological measurements, from both the brain and the rest of the body, to build more comprehensive models of the biological ageing process. Finally, we propose seven steps for the field of brain-ageing research to take in coming years. This will help us reach the long-term goal of developing clinically applicable statistical models of biological processes to measure, track and predict brain and body health in ageing and disease.
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影响因子：
11.2
作者：
Cole, James H.;Leech, Robert;Sharp, David J.
通讯作者：
Sharp, David J.
影响因子：
4.1
作者：
Deary IJ;Gow AJ;Taylor MD;Corley J;Brett C;Wilson V;Campbell H;Whalley LJ;Visscher PM;Porteous DJ;Starr JM
通讯作者：
Starr JM
影响因子：
9.2
作者：
Brown, Timothy T.;Kuperman, Joshua M.;Chung, Yoonho;Erhart, Matthew;McCabe, Connor;Hagler, Donald J., Jr.;Venkatraman, Vijay K.;Akshoomoff, Natacha;Amaral, David G.;Bloss, Cinnamon S.;Casey, B. J.;Chang, Linda;Ernst, Thomas M.;Frazier, Jean A.;Gruen, Jeffrey R.;Kaufmann, Walter E.;Kenet, Tal;Kennedy, David N.;Murray, Sarah S.;Sowell, Elizabeth R.;Jernigan, Terry L.;Dale, Anders M.
通讯作者：
Dale, Anders M.
DOI：
10.1093/gerona/glw053
发表时间：
2016-08-01
影响因子：
5.1
作者：
Forero, Diego A.;Gonzalez-Giraldo, Yeimy;Perry, George
通讯作者：
Perry, George
影响因子：
11.8
作者：
Cole, James H.;Caan, Matthan W. A.;Sharp, David J.
通讯作者：
Sharp, David J.