Predicting anhedonia and negative cognitive processing changes after 8-week SSRIs treatment in depression from...

Area of Science:

• Neuroscience
• Psychiatry
• Medical Imaging

Background:

• Individual neural characteristics correlate with treatment response in major depressive disorder (MDD).
• Associations between individual differential structural covariance networks (IDSCN) and dimensional symptom changes in MDD post-antidepressant treatment are under-investigated.
• Anhedonia and negative cognitive processing bias are key symptoms of MDD.

Purpose of the Study:

• To investigate the predictive effect of IDSCN on changes in anhedonia and negative cognitive processing bias after selective serotonin reuptake inhibitors (SSRIs) treatment in MDD patients.
• To explore the neural characteristics of IDSCN that predict treatment response.

Main Methods:

• T1-weighted structural MRI scans from 144 unmedicated, first-episode MDD patients and 161 healthy controls.
• IDSCN analysis to determine individual structural covariance networks for each MDD patient.
• Connectome-based predictive modeling (CPM) to assess the predictive power of baseline IDSCN on symptom changes after 8-week SSRI treatment in 92 MDD patients.

Main Results:

• Significant individual heterogeneity was observed in the IDSCN among MDD patients.
• Baseline IDSCN significantly predicted post-treatment changes in anhedonia (r=0.358, P<0.001) and negative cognitive processing bias (r=0.264, P=0.011).
• Predictive network edges differed for anhedonia (caudate-temporal regions) and negative cognitive bias (subcortical-frontal/parietal, visual-medial prefrontal regions).

Conclusions:

• Individual differential structural covariance networks can predict treatment-induced changes in anhedonia and negative cognitive processing bias in MDD patients receiving SSRIs.
• The specific neural characteristics predicting these symptom changes vary.
• Validation in independent datasets is necessary to confirm these findings.