脑年龄估计差作为脑老化生物标志物的研究进展

    Research Progress of Brain Age Gap Estimation as a Biomarker for Brain Aging

    • 摘要: 随着全球人口老龄化的快速增长,神经退行性疾病的发病率越来越高,给整个社会带来了越来越大的负担.然而,衰老是一个由遗传和环境因素决定的多因素过程.基于神经影像开发有效的生物标志物对与年龄相关的神经退行性疾病的风险评估和预测至关重要.脑年龄估计差是目前应用最广泛的基于磁共振成像(magnetic resonance images,MRI)的脑健康状态评估方法.首先,介绍基于MRI的脑老化研究和基于神经影像的脑年龄估计模型的研究进展.然后,从遗传学、大脑发育、神经退行性疾病、精神疾病、慢性疾病、认知储备等多方面进行总结并讨论BrainAGE在大脑老化方面的应用成果.最后,提出该领域存在的问题以及未来的研究方向.

       

      Abstract: The fast increase of aging population in global leads to the prevalence of aging-associated neurodegenerative diseases, which places a substantial socioeconomic burden on the whole society. However, aging is a multifactorial process determined by genetic and environmental factors. The development of validated neuroimaging-based biomarker is essential for the risk assessments and predictions of age-related neurodegenerative diseases. The brain age gap estimation is the most widely used measure for assessing brain health status based on magnetic resonance images (MRI). This review first introduced the research progress of brain aging based on MRI and brain age estimation model based on neuroimaging, then summarized and discussed the findings on BrainAGE as a biomarker from the aspects of genetics, brain development, neurodegenerative diseases, psychiatric diseases, chronic diseases and cognitive reserve. Finally, the existing problems and future research direction were put forward.

       

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