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REVIEW article

Front. Neurosci.
Sec. Brain Imaging Methods
Volume 19 - 2025 | doi: 10.3389/fnins.2025.1503955
This article is part of the Research Topic Unraveling Cognitive Impairment: A Multimodal MRI Approach to Brain Networks View all articles

Research Progress on Brain Networks Neuroimaging Biomarkers Across the Subjective Cognitive Decline

Provisionally accepted
Ying-mei Han Ying-mei Han 1Chaojie Wang Chaojie Wang 1Yi Zhang Yi Zhang 1*Yi-jie Li Yi-jie Li 1*Heng Zhang Heng Zhang 1*Ze Feng Ze Feng 1*Wei-qing Li Wei-qing Li 1*Bing-yuan Chu Bing-yuan Chu 1*Feng Wang Feng Wang 2*
  • 1 Heilongjiang University of Chinese Medicine, Harbin, China
  • 2 Division of CT and MRI, First Affiliated Hospital, Heilongjiang University of Chinese Medicine,, Harbin, Jilin Province, China

The final, formatted version of the article will be published soon.

    Subjective cognitive decline (SCD) is an early manifestation of the Alzheimer's disease (AD) continuum, and accurately diagnosing SCD to differentiate it from neurotypical aging in older adults is a common challenge for researchers. Methods: This review examines and summarizes relevant studies regarding the neuroimaging of the AD continuum, and comprehensively summarizes and outlines the SCD clinical features characterizing along with the corresponding neuroimaging changes involving structural, functional, and metabolic networks.The clinical characteristics of SCD include a subjective decline in self-perceived cognitive function, and there are significant imaging changes, such as reductions in gray matter volume in certain brain regions, abnormalities in the integrity of white matter tracts and diffusion metrics, alterations in functional connectivity between different sub-networks or within networks, as well as abnormalities in brain metabolic networks and cerebral blood flow perfusion.The 147 referenced studies in this paper indicate that exploring the structural, functional, and metabolic network changes in the brain related to SCD through neuroimaging aims to enhance the goals and mission of brain science development programs: "Understanding the Brain," "Protecting the Brain," and "Creating the Brain," thereby strengthening researchers' investigation into the mechanisms of brain function. Early diagnosis of SCD, along with prompt intervention, can reduce the incidence of AD spectrum while improving patients' quality of life, even integrating numerous scientific research achievements into unified and established standards and applying them in clinical practice by doctors, thus all encouraging researchers to further investigate SCD issues in older adults.Alzheimer's Disease (AD) is recognized as the predominant branch of neurodegenerative disorders worldwide. The World Health Organization (WHO) and Alzheimer's Disease International (ADI) estimating a rise to 139 million by 2050. AD constitutes nearly 65% of dementia cases, with approximately one-fifth of AD patients originating from China, and incidence rates continue to escalate. The detection of AD has increased in part due to better detection tools and increase in lifespan (Heuer, Bloss, and Howell, 2024). The primary clinical

    Keywords: race, gender, Years of education, Cognitive Reserve, And genetics

    Received: 30 Sep 2024; Accepted: 21 Jan 2025.

    Copyright: © 2025 Han, Wang, Zhang, Li, Zhang, Feng, Li, Chu and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yi Zhang, Heilongjiang University of Chinese Medicine, Harbin, China
    Yi-jie Li, Heilongjiang University of Chinese Medicine, Harbin, China
    Heng Zhang, Heilongjiang University of Chinese Medicine, Harbin, China
    Ze Feng, Heilongjiang University of Chinese Medicine, Harbin, China
    Wei-qing Li, Heilongjiang University of Chinese Medicine, Harbin, China
    Bing-yuan Chu, Heilongjiang University of Chinese Medicine, Harbin, China
    Feng Wang, Division of CT and MRI, First Affiliated Hospital, Heilongjiang University of Chinese Medicine,, Harbin, Jilin Province, China

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