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

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

研究成果: 雜誌貢獻文章

8 引文 斯高帕斯(Scopus)

摘要

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.
原文英語
文章編號e3147
期刊PeerJ
2017
發行號11
DOIs
出版狀態已發佈 - 一月 1 2017

    指紋

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

引用此

Chen, V. C. H., Shen, C. Y., Liang, S. H. Y., Li, Z. H., Hsieh, M. H., Tyan, Y. S., Lu, M. L., Lee, Y., McIntyre, R. S., & Weng, J. C. (2017). Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders. PeerJ, 2017(11), [e3147]. https://doi.org/10.7717/peerj.3147