抑郁症的脑复杂网络研究进展

抑郁症是一种伴有情绪和认知功能损害、临床表现多样的常见精神性疾病。随着影像技术的发展，抑郁症伴随着大脑特定区域的结构和功能网络异常已被得到广泛证实。基于图论的脑复杂网络分析提示了抑郁症中大规模功能性和结构性脑网络的拓扑结构紊乱，这为早期发现抑郁症提供了潜在的有价值的生物标记物。本文综述近年来抑郁症的脑复杂网络研究进展，进而分析现有研究中基本结果和潜在不足，最后展望了未来可能的发展方向。

Advances in research on complex brain networks in depression

Abstract: 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.