Psychiatry Investig.  2020 Sep;17(9):941-950. 10.30773/pi.2020.0157.

Shape and Volumetric Differences in the Corpus Callosum between Patients with Major Depressive Disorder and Healthy Controls

Affiliations
  • 1Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
  • 2Department of Physical Medicine and Rehabilitation, Korea University College of Medicine, Seoul, Republic of Korea
  • 3Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
  • 4Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea

Abstract


Objective
This study aimed to investigate the morphometric differences in the corpus callosum between patients with major depressive disorder (MDD) and healthy controls and analyze their relationship to gray matter changes.
Methods
Twenty female MDD patients and 21 healthy controls (HCs) were included in the study. To identify the difference in the regional gray matter concentration (GMC), VBM was performed with T1 magnetic resonance imaging. The shape analysis of the corpus callosum was processed. Diffusion tensor imaging (DTI) fiber-tracking was performed to identify the regional tract pathways in the damaged corpus callosal areas.
Results
In the shape analysis, regional shape contractions in the rostrum and splenium were found in the MDD patients. VBM analysis showed a significantly lower white matter concentration in the genu and splenium, and a significantly lower GMC in the frontal, limbic, insular, and temporal regions of the MDD patients compared to the HCs. In DTI fiber-tracking, the fibers crossing the damaged areas of the genu, rostrum, and splenium were anatomically connected to the areas of lower GMC in MDD patients.
Conclusion
These findings support that major depressive disorder may be due to disturbances in multiple neuronal circuits, especially those associated with the corpus callosum.

Keyword

Major depressive disorder, Corpus callosum, Voxel-based morphometry, Magnetic resonance imaging, Shape analysis
Full Text Links
  • PI
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr