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Structural covariance pattern abnormalities of insula in major depressive disorder: A CAN-BIND study report
Ruiyang Ge1, Stefanie Hassel2, Stephen R Arnott3
1Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
Major depressive disorder (MDD) involves disrupted brain network connections. This study used a novel technique to show altered structural coupling in the insula of MDD patients, linking it to symptom severity.
Area of Science:
- Neuroscience
- Psychiatry
- Brain Imaging
Background:
- Major depressive disorder (MDD) is a complex condition with unclear etiopathogenesis.
- The insula's role in MDD is an area of active investigation.
- Understanding brain network alterations is crucial for diagnosing and treating MDD.
Purpose of the Study:
- To introduce and apply a novel gray matter volume (GMV) based structural covariance technique.
- To investigate structural brain network (SBN) coupling patterns of insular subregions in MDD patients.
- To compare these patterns between MDD patients and healthy controls.
Main Methods:
- A novel GMV-based structural covariance technique was employed.
- The unilateral insula was divided into three subregions: anterior, superior-posterior, and inferior-posterior.
- Structural coupling between insular subregions and whole-brain SBNs was analyzed in 157 MDD patients and 93 controls from the CAN-BIND cohort.
Main Results:
- MDD patients exhibited altered inter-network coupling in the right insula: increased with the default mode network (DMN) and decreased with the central executive network (CEN) in the anterior region; the reverse pattern was observed in the ventral-posterior region.
- Right ventral-posterior insular structural covariance negatively correlated with suicidal ideation in patients.
- Controls showed positive correlations between right ventral-posterior insular structural covariance and motor/psychomotor speed, which were absent in patients.
Conclusions:
- A novel technique for analyzing structural covariance coupling between large-scale SBNs was proposed.
- Findings provide evidence that MDD is a system-level disorder characterized by disrupted structural coupling between brain networks.
- Altered insular connectivity patterns may serve as potential biomarkers for MDD and its associated symptoms.
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