Assessment of abnormal brain structures and networks in major depressive disorder using morphometric and connectome analyses

Vincent Chin Hung Chen, Chao Yu Shen, Sophie Hsin Yi Liang, Zhen Hui Li, Yeu Sheng Tyan, Yin To Liao, Yin Chen Huang, Yena Lee, Roger S. McIntyre, Jun Cheng Weng*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

41 Scopus citations

Abstract

Background It is hypothesized that the phenomenology of major depressive disorder (MDD) is subserved by disturbances in the structure and function of brain circuits; however, findings of structural abnormalities using MRI have been inconsistent. Generalized q-sampling imaging (GQI) methodology provides an opportunity to assess the functional integrity of white matter tracts in implicated circuits. Methods The study population was comprised of 16 outpatients with MDD (mean age 44.81±2.2 years) and 30 age- and gender-matched healthy controls (mean age 45.03±1.88 years). We excluded participants with any other primary mental disorder, substance use disorder, or any neurological illnesses. We used T1-weighted 3D MRI with voxel-based morphometry (VBM) and vertex-wise shape analysis, and GQI with voxel-based statistical analysis (VBA), graph theoretical analysis (GTA) and network-based statistical (NBS) analysis to evaluate brain structure and connectivity abnormalities in MDD compared to healthy controls correlates with clinical measures of depressive symptom severity, Hamilton Depression Rating Scale 17-item (HAMD) and Hospital Anxiety and Depression Scale (HADS). Results Using VBM and vertex-wise shape analyses, we found significant volumetric decreases in the hippocampus and amygdala among subjects with MDD (p<0.001). Using GQI, we found decreases in diffusion anisotropy in the superior longitudinal fasciculus and increases in diffusion probability distribution in the frontal lobe among subjects with MDD (p<0.01). In GTA and NBS analyses, we found several disruptions in connectivity among subjects with MDD, particularly in the frontal lobes (p<0.05). In addition, structural alterations were correlated with depressive symptom severity (p<0.01). Limitations Small sample size; the cross-sectional design did not allow us to observe treatment effects in the MDD participants. Conclusions Our results provide further evidence indicating that MDD may be conceptualized as a brain disorder with abnormal circuit structure and connectivity.

Original languageEnglish
Pages (from-to)103-111
Number of pages9
JournalJournal of Affective Disorders
Volume205
DOIs
StatePublished - 15 11 2016

Bibliographical note

Publisher Copyright:
© 2016 Elsevier B.V.

Keywords

  • Generalized q-sampling imaging (GQI)
  • Graph theoretical analysis (GTA)
  • Major depressive disorder (MDD)
  • Network-based statistical analysis (NBS)
  • Vertex-wise shape analysis
  • Voxel-based morphometry (VBM)

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