Personalized functional topography-based multisite brain age prediction modeling reveals divergent neurodevelopment in major depression - PubMed
14 hours ago
- #Neurodevelopment
- #Brain Age Prediction
- #Major Depressive Disorder
- Major depressive disorder (MDD) is linked to widespread alterations in functional brain networks across the lifespan.
- A multisite resting-state fMRI study analyzed 1,105 MDD patients and 1,065 healthy controls, identifying two subgroups with positive (BAG+) or negative (BAG-) brain age gaps.
- BAG+ patients showed accelerated brain aging due to expansion of the salience network (SAL) into prefrontal cortices and contraction of sensorimotor and dorsal attention networks (DAN).
- BAG- patients exhibited delayed brain development, with SAL expansion into the orbitofrontal cortex (OFC) and contraction of visual and sensorimotor networks (SMN).
- Clinically, BAG+ patients had stronger associations between higher-order network topography and mood symptoms, while BAG- patients linked visual/default mode network topography to insomnia.
- Both subgroups showed enrichment of synaptic signaling genes but had distinct expression patterns and neurodevelopmental trajectories.
- Antidepressant treatment effects were subgroup-specific, highlighting the need for personalized precision medicine in MDD.