Abstract

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Author(s):: WANG Jing1; KONG Lingyin2; LEI Bingye2; WU Kai2; 3; 4; 5; 6; 1. School of Biomedical Engineering, Xinhua College of Sun Yat-sen University, Guangzhou 510520, China 2. Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology, Guangzhou 510006, China 3. Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China 4. Guangzhou Huiai Hospital/the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China 5. Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Alzheimers Disease, Guangzhou 510500, China 6. National Engineering Technology Research Center for Healthcare Devices, Guangzhou 510500, China

Keywords:: Keywords: depression graph theory complex brain network structural network functional network review

Abstract:: 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.