Depression is marked by differences in structural covariance between deep-brain nuclei and sensorimotor cortex

Area of Science:

• Neuroimaging
• Neuroscience
• Psychiatry

Background:

• Depression affects 3% of adults globally.
• Depression symptoms involve frontoparietal, somatosensory, and salience networks.
• The role of deep brain nuclei (DBN) in depression is unclear.

Purpose of the Study:

• To investigate structural covariance between DBN and cortical regions in depression.
• To determine if DBN volumes predict depression diagnosis.
• To explore relationships between DBN-cortical structural covariance and depression severity.

Main Methods:

• Structural neuroimaging data from 86 individuals (39 with depression).
• Frequentist and Bayesian logistic regressions for DBN volume prediction.
• FreeSurfer structural covariance analyses for DBN-cortical morphometry.

Main Results:

• Significant DBN-cortical structural covariance differences between depressed and healthy groups.
• Specific DBNs (RN, STN) covaried with distinct cortical regions (parietal operculum, occipital pole).
• Covariance patterns differed, with inverse relationships observed in the depressed group.

Conclusions:

• Structural codependence between DBN and cortical areas is implicated in depression.
• These findings may relate to sensorimotor features of depression.
• Future research should explore DBN's role in sensory integration and causal mechanisms.