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LIN Lan, ZHANG Ge, WU Shuicai. Research Progress of Brain Age Gap Estimation as a Biomarker for Brain Aging[J]. Journal of Beijing University of Technology, 2021, 47(3): 303-310. DOI: 10.11936/bjutxb2019100007
Citation: LIN Lan, ZHANG Ge, WU Shuicai. Research Progress of Brain Age Gap Estimation as a Biomarker for Brain Aging[J]. Journal of Beijing University of Technology, 2021, 47(3): 303-310. DOI: 10.11936/bjutxb2019100007
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Research Progress of Brain Age Gap Estimation as a Biomarker for Brain Aging

  • Intelligent Physiological Measurement and Clinical Translation Beijing International Base for Scientific and Technological Cooperation, Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China

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  • Received Date: October 14, 2019
  • Available Online: August 03, 2022
  • Published Date: March 09, 2021
    Graphical Abstract
    • 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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