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

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8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article numbere3147
JournalPeerJ
Volume2017
Issue number11
DOIs
Publication statusPublished - Jan 1 2017

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Keywords

  • Functional connectome
  • Graph theoretical analysis
  • Major depressive disorder
  • Resting-state functional magnetic resonance imaging

ASJC Scopus subject areas

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

Cite this

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