抑郁症的脑复杂网络研究进展

作者：Wang Jing; Kong Lingyin; Lei Bingye; Wu Kai^*

来源：中国医学物理学杂志, 2020, 37(6): 780-785.

DOI：10.3969/j.issn.1005-202X.2020.06.023

• complex brain network
• depression
• functional network
• graph theory
• review
• structural network

Depression is a common mental illness with emotional and cognitive impairments and varied clinical manifestations. With the development of imaging technology, it has been widely confirmed that depression is accompanied by abnormalities in the structural and functional networks of specific brain regions. The complex brain network analysis based on graph theory indicates the large-scale topological disorder of functional and structural brain networks in depression, which provides a potential biomarker for the early detection of depression. Herein the recent advances in research on the complex brain networks in depression are reviewed, and the basic results and potential shortcomings of the existing researches are further analyzed. Finally, the possible future development direction is discussed. ? 2020 Editorial Department of Chinese Journal of Medical Physics.

• 单位
  广州医科大学; 中山大学; 华南理工大学