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

Research output: Contribution to journalArticle

6 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

Fingerprint

Connectome
amygdala
rating scales
Major Depressive Disorder
anxiety
hippocampus
magnetic resonance imaging
morbidity
biomarkers
Brain
Anxiety
Depression
brain
Biomarkers
Health
Magnetic Resonance Imaging
Amygdala
Cluster Analysis
Hippocampus
Morbidity

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., ... 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

Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders. / Chen, Vincent Chin Hung; Shen, Chao Yu; Liang, Sophie Hsin Yi; Li, Zhen Hui; Hsieh, Ming Hong; Tyan, Yeu Sheng; Lu, Mong Liang; Lee, Yena; McIntyre, Roger S.; Weng, Jun Cheng.

In: PeerJ, Vol. 2017, No. 11, e3147, 01.01.2017.

Research output: Contribution to journalArticle

Chen, VCH, Shen, CY, Liang, SHY, Li, ZH, Hsieh, MH, Tyan, YS, Lu, ML, Lee, Y, McIntyre, RS & Weng, JC 2017, 'Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders', PeerJ, vol. 2017, no. 11, e3147. https://doi.org/10.7717/peerj.3147
Chen, Vincent Chin Hung ; Shen, Chao Yu ; Liang, Sophie Hsin Yi ; Li, Zhen Hui ; Hsieh, Ming Hong ; Tyan, Yeu Sheng ; Lu, Mong Liang ; Lee, Yena ; McIntyre, Roger S. ; Weng, Jun Cheng. / Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders. In: PeerJ. 2017 ; Vol. 2017, No. 11.
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