Consensus clustering reveals two neuroimaging subtypes in major depressive disorder with distinct receptor profiles, implying varied biological mechanisms.
Key Points
To identify functional connectivity-based subtypes of major depressive disorder (MDD) and explore their biological mechanisms.
Applied consensus clustering to identify MDD subtypes based on functional connectivity patterns.
Analyzed data from 829 MDD patients and 770 healthy controls.
Used regression models to assess FC alterations and spatial associations with gene and neurotransmitter density.
Discovered two stable MDD subtypes: hypoconnectivity and hyperconnectivity.
Identified shared and distinct regions of functional connectivity alterations in the default mode network.
Noted enriched genes related to synaptic transmission in both subtypes, with specific genes for each subtype.