Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders

• Main Authors: Vincent Chin-Hung Chen, Chao-Yu Shen, Sophie Hsin-Yi Liang, Zhen-Hui Li, Ming-Hong Hsieh, Yeu-Sheng Tyan, Mong-Liang Lu, Yena Lee, Roger S. McIntyre, Jun-Cheng Weng
• Format: Article
• Language: English
• Published: PeerJ Inc. 2017-11-01
• Series: PeerJ
• Subjects: Functional connectome; Graph theoretical analysis; Resting-state functional magnetic resonance imaging; Major depressive disorder
• Online Access: https://peerj.com/articles/3147.pdf

Major depressive disorder (MDD) is highly prevalent, recurrent, and associated with functional impairment, morbidity, and mortality. Herein, we aimed to identify disruptions in functional connectomics among subjects with MDD by using resting-state functional magnetic resonance imaging (rs-fMRI). Sixteen subjects with MDD and thirty health controls completed resting-state fMRI scans and clinical assessments (e.g., Hamilton Depression Rating Scale (HAMD) and Hospital Anxiety and Depression Scale (HADS)). We found higher amplitude of low frequency fluctuations (ALFF) bilaterally in the hippocampus and amygdala among MDD subjects when compared to healthy controls. Using graph theoretical analysis, we found decreased clustering coefficient, local efficiency, and transitivity in the MDD patients. Our findings suggest a potential biomarker for differentiating individuals with MDD from individuals without MDD.