A generalized reward processing deficit pathway to negative symptoms across diagnostic boundaries

Area of Science:

• Neuroscience
• Psychiatry
• Clinical Psychology

Background:

• Negative symptoms are a significant feature across various psychiatric disorders.
• Identifying shared neurobiological mechanisms is challenging due to equifinality.
• This study explored reward processing profiles to predict negative symptoms.

Purpose of the Study:

• To identify distinct subgroups based on reward processing profiles in a transdiagnostic youth sample.
• To determine which reward processing profiles predict negative symptoms.
• To investigate the role of reward processing in psychiatric disorders.

Main Methods:

• Utilized a data-driven approach (k-means cluster analysis) on a transdiagnostic sample of youth (clinical high-risk for psychosis, other psychiatric diagnoses, healthy controls).
• Assessed four reward processing constructs: hedonic reactivity, reinforcement learning, value representation, and effort-cost computation.
• Clinical interviews and behavioral tasks were employed.

Main Results:

• Identified three reward processing subgroups: value representation deficit (54%), generalized reward processing deficit (17%), and hedonic reactivity deficit (29%).
• Negative symptoms were exclusively elevated in the generalized deficit cluster.
• This cluster also showed greater functional impairment and higher psychosis conversion probability.

Conclusions:

• Findings challenge the equifinality hypothesis, indicating a global reward processing deficit pathway to negative symptoms, independent of diagnosis.
• Reward processing profiles may offer utility for personalized clinical prediction and treatment strategies.