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Structure-function coupling and hierarchy-specific antidepressant response in major depressive disorder.
Xinyi Wang1,2, Li Xue1,2, Lingling Hua3
1School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
Major depressive disorder (MDD) shows altered structure-function couplings (SFC) across brain hierarchy. Antidepressant response is linked to hierarchy-specific SFC changes, offering predictive insights.
Area of Science:
- Neuroscience
- Neuroimaging
- Psychiatry
Background:
- Major depressive disorder (MDD) is associated with altered brain networks, but structure-function coupling (SFC) findings are inconsistent.
- The brain's functional hierarchy may explain variations in SFC and MDD pathology.
- Investigating SFC across functional levels is crucial for understanding MDD and treatment response.
Purpose of the Study:
- To investigate alterations in structure-function couplings (SFC) in major depressive disorder (MDD) patients compared to healthy controls (HC).
- To examine the relationship between SFC and antidepressant response in MDD.
- To analyze SFC changes from a functional hierarchical perspective.
Main Methods:
- Compared regional SFC in MDD patients (n=258) and HC (n=99) using resting-state fMRI and diffusion tensor imaging.
- Assessed SFC differences between antidepressant non-responders (n=55) and responders (n=68).
- Ranked regions by principal gradient values to evaluate hierarchy-specific SFC patterns.
Main Results:
- MDD patients showed increased SFC in unimodal regions (low gradient) and decreased SFC in transmodal regions (high gradient) versus HC.
- Antidepressant responders exhibited higher SFC in unimodal regions and lower SFC in attentional networks.
- Significant differences in SFC were observed across the functional hierarchy (p < 0.001).
Conclusions:
- MDD pathology involves opposing SFC alterations in low-level unimodal and high-level transmodal networks.
- SFC variations across the functional hierarchy highlight spatial heterogeneity in MDD.
- Hierarchy-specific antidepressant effects offer potential for predicting treatment outcomes in MDD.
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