White Matter-Based Structural Brain Network of Major Depression.

Area of Science:

• Neuroscience
• Psychiatry
• Medical Imaging

Background:

• Major depressive disorder (MDD) is often viewed as a disconnection syndrome.
• Diffusion tensor imaging (DTI) has provided evidence of structural connectivity abnormalities in MDD.
• Graph theory applied to neuroimaging reveals disrupted topological properties in brain networks of depressed individuals.

Purpose of the Study:

• To review DTI-based studies of white matter networks in MDD.
• To focus on consistent findings and clinical significance of DTI network research.
• To discuss methodological issues and future perspectives in the field.

Main Methods:

• Review of published literature on DTI and MDD.
• Application of graph theoretic methods to analyze brain network topology.
• Analysis of global and local network metrics, modular structure, and hubs.

Main Results:

• MDD is associated with widespread structural connectivity deficits.
• Topological alterations include decreased connectivity strength, global efficiency, small-worldness, and network resilience.
• Structural disturbances may have functional consequences, requiring further investigation.

Conclusions:

• MDD involves widespread structural connectomic disturbances.
• Network properties show potential as diagnostic biomarkers in psychoradiology.
• Advancing research methods is crucial for understanding underlying pathological mechanisms.