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Updated: Sep 24, 2025

Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 24, 2010
Multimetric structural covariance in first-episode major depressive disorder: a graph theoretical analysis
Chujun Chen1, Zhening Liu1, Chang Xi1
1From the Department of Psychiatry, Second Xiangya Hospital of Central South University, Changsha, China (Chen, Liu, Xi, Tan, Fan, Cheng, Jun Yang, Jie Yang); the National Clinical Research Centre for Mental Disorders, Changsha, China (Chen, Liu, Xi, Tan, Fan, Cheng, Jun Yang, Jie Yang); the Department of Psychiatry, University of Western Ontario, London, Ont. (Palaniyappan); the Robarts Research Institute, University of Western Ontario, London, Ont. (Palaniyappan); the Lawson Health Research Institute, London, Ont. (Palaniyappan); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Quebec (Palaniyappan).
Major depressive disorder (MDD) shows disrupted brain morphology, specifically in cortical thickness networks. This systems-level change affects brain efficiency and network resilience in first-episode MDD patients.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Major depressive disorder (MDD) is associated with focal abnormalities in cortical thickness, surface area, and gyrification.
- It remains unclear if these focal changes impact the brain's system-level architecture or topology in MDD.
Purpose of the Study:
- To investigate system-level topological disruptions in brain morphology in patients with first-episode major depressive disorder (MDD).
- To determine if morphological covariance networks differ between MDD patients and healthy controls.
Main Methods:
- Structural MRI scans were acquired from 76 first-episode MDD patients and 66 healthy controls.
- Cortical thickness, surface area, and local gyrification index were calculated.
- Graph theoretical approaches were used to analyze topological properties of morphological covariance networks.
Main Results:
- Topological differences were observed exclusively in the thickness-based network.
- Patients with first-episode MDD exhibited decreased global efficiency and increased local efficiency in specific brain regions.
- Thickness-based networks in MDD patients showed more rapid disintegration under simulated targeted lesions.
Conclusions:
- A systems-level disruption in cortical thickness topology is present in first-episode MDD.
- This disruption affects network efficiency and resilience.
- These findings were specific to cortical thickness and not observed for surface area or gyrification.
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