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重型抑郁症患者脑网络性别差异的功能磁共振成像研究进展

张乾营,  康丽君,  刘忠纯

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文章导航 > 分子影像学杂志  > 2023 >  46(1): 170-174
张乾营, 康丽君, 刘忠纯. 重型抑郁症患者脑网络性别差异的功能磁共振成像研究进展[J]. 分子影像学杂志, 2023, 46(1): 170-174. doi: 10.12122/j.issn.1674-4500.2023.01.33
引用本文: 张乾营, 康丽君, 刘忠纯. 重型抑郁症患者脑网络性别差异的功能磁共振成像研究进展[J]. 分子影像学杂志, 2023, 46(1): 170-174. doi: 10.12122/j.issn.1674-4500.2023.01.33
shu
ZHANG Qianying, KANG Lijun, LIU Zhongchun. Advances in functional magnetic resonance imaging of gender differences in brain networks of patients with major depressive disorder[J]. Journal of Molecular Imaging, 2023, 46(1): 170-174. doi: 10.12122/j.issn.1674-4500.2023.01.33
Citation: ZHANG Qianying, KANG Lijun, LIU Zhongchun. Advances in functional magnetic resonance imaging of gender differences in brain networks of patients with major depressive disorder[J]. Journal of Molecular Imaging, 2023, 46(1): 170-174. doi: 10.12122/j.issn.1674-4500.2023.01.33
shu

重型抑郁症患者脑网络性别差异的功能磁共振成像研究进展

doi: 10.12122/j.issn.1674-4500.2023.01.33

  • 武汉大学人民医院精神卫生中心，湖北 武汉 430060

基金项目: 

国家重点研发计划 2018YFC1314600

国家自然科学基金 81771472

详细信息
    作者简介:

    张乾营，在读硕士研究生，E-mail: 836477654@qq.com

    通讯作者:

    刘忠纯，博士，教授，主任医师，博士生导师，E-mail: zcliu6@whu.edu.cn

Advances in functional magnetic resonance imaging of gender differences in brain networks of patients with major depressive disorder

  • Mental Health Center of Renmin Hospital of Wuhan University, Wuhan 430060, China

Funds: 

the National Key R&D Program of China 2018YFC1314600

National Natural Science Foundation of China 81771472

    摘要
  • 摘要: 重型抑郁症存在显著的性别差异已经得到广泛的研究证实。基于磁共振成像的脑网络分析方法已经在重型抑郁症性别差异的临床医学研究中被普遍用于疾病的神经机制和诊疗研究，已有许多临床研究成果能为临床疾病的病理探究和辅助诊断提供更好的依据。笔者通过归纳总结几种最常用脑网络研究方法，综合论述了基于磁共振成像在重型抑郁症性别差异的研究进展及应用前景。

     

    Abstract: The existence of significant gender differences in major depressive disorder has been extensively studied. Brain network analysis based on magnetic resonance imaging has been commonly used in clinical medical research on gender differences in major depressive disorder to investigate the neurological mechanisms of the disease and provide a better basis for clinical pathology and diagnosis. The author summarizes several of the most commonly used brain network research methods and discusses the progress and application prospects of MRI-based research on gender differences in major depressive disorder.

     

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