The Journal of Practical Medicine ›› 2026, Vol. 42 ›› Issue (6): 1097-1104.doi: 10.3969/j.issn.1006-5725.2026.06.024

• Reviews • Previous Articles    

Resting-sate functional magnetic resonance imaging brain functional connectivity analysis in cognitive impairment of hypoxia-related diseases: A review

Yang OU1,2,Shouzhu XU1,Siyao ZENG2,Jiebing HE2,Sijia GUO2,Yang ZHOU2,Xiaoming CHEN2()   

  1. 1.School of Public Health,Shaanxi University of Chinese Medicine,Xianyang 712046,Shaanxi,China
    2.Department of Military Occupational and Environmental Health,Military Preventive Medicine School,Key Laboratory of Environmental Health Hazard Assessment and Protection of Shaanxi Province,Ministry of Education Key Laboratory of Hazard Assessment and Control in Special Operational Environment,Air Force Medical University,Xi′an 710032,Shaanxi,China
  • Received:2025-10-30 Revised:2025-12-10 Accepted:2025-12-15 Online:2026-03-25 Published:2026-03-26
  • Contact: Xiaoming CHEN E-mail:xiaomingchen_xa@163.com

Abstract:

Long-term hypoxia induces central nervous system damage and cognitive decline (e.g., memory impairment, delayed reaction, and reduced executive function), representing a critical medical challenge threatening human health. However, the underlying mechanisms of such impairment remain unclear. In recent years, functional magnetic resonance imaging (fMRI) has emerged as a core tool for investigating abnormal brain functional activity, owing to its non-invasive nature and high spatial resolution. This review systematically summarizes the advances of resting-state fMRI (rs-fMRI) in studies of hypoxia-related cognitive impairment. It further explores in depth how various brain function analysis methods delineate changes in brain functional metrics, which in turn provides insights into the neural mechanisms underlying hypoxia-induced cognitive impairment. Additionally, this review confirms that rs-fMRI-derived brain functional metrics can serve as early diagnostic biomarkers for hypoxia-related diseases, offering quantitative evidence for screening high-risk populations. Meanwhile, by identifying key brain regions affected by hypoxia, the review provides precise targets for preventing hypoxic cognitive impairment and establishes a scientific basis for formulating brain health strategies. Notably, the integration of artificial intelligence (AI) techniques into multi-center studies is anticipated to further enhance diagnostic accuracy and intervention efficacy. This approach will ultimately provide critical technical support for alleviating the public health burden of hypoxia-related diseases.

Key words: hypoxia-related diseases, functional magnetic resonance imaging, cognitive impairment, chronic obstructive pulmonary disease, obstructive sleep apnea-hypopnea syndrome

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