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Relations Among Anhedonia, Reinforcement Learning, and Global Functioning in Help-seeking Youth

Abstract

Dysfunction in the neural circuits underlying salience signaling is implicated in symptoms of psychosis and may predict conversion to a psychotic disorder in youth at clinical high risk (CHR) for psychosis. Additionally, negative symptom severity, including consummatory and anticipatory aspects of anhedonia, may predict functional outcome in individuals with schizophrenia-spectrum disorders. However, it is unclear whether anhedonia is related to the ability to attribute incentive salience to stimuli (through reinforcement learning [RL]) and whether measures of anhedonia and RL predict functional outcome in a younger, help-seeking population. We administered the Salience Attribution Test (SAT) to 33 participants who met criteria for either CHR or a recent-onset psychotic disorder and 29 help-seeking youth with nonpsychotic disorders. In the SAT, participants must identify relevant and irrelevant stimulus dimensions and be sensitive to different reinforcement probabilities for the 2 levels of the relevant dimension ("adaptive salience"). Adaptive salience attribution was positively related to both consummatory pleasure and functioning in the full sample. Analyses also revealed an indirect effect of adaptive salience on the relation between consummatory pleasure and both role (αβ = .22, 95% CI = 0.02, 0.48) and social functioning (αβ = .14, 95% CI = 0.02, 0.30). These findings suggest a distinct pathway to poor global functioning in help-seeking youth, via impaired reward sensitivity and RL.

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References
1.
Halahakoon D, Kieslich K, ODriscoll C, Nair A, Lewis G, Roiser J . Reward-Processing Behavior in Depressed Participants Relative to Healthy Volunteers: A Systematic Review and Meta-analysis. JAMA Psychiatry. 2020; 77(12):1286-1295. PMC: 7391183. DOI: 10.1001/jamapsychiatry.2020.2139. View

2.
Collins A, Albrecht M, Waltz J, Gold J, Frank M . Interactions Among Working Memory, Reinforcement Learning, and Effort in Value-Based Choice: A New Paradigm and Selective Deficits in Schizophrenia. Biol Psychiatry. 2017; 82(6):431-439. PMC: 5573149. DOI: 10.1016/j.biopsych.2017.05.017. View

3.
Gruber J, Strauss G, Dombrecht L, Mittal V . Neuroleptic-free youth at ultrahigh risk for psychosis evidence diminished emotion reactivity that is predicted by depression and anxiety. Schizophr Res. 2017; 193:428-434. DOI: 10.1016/j.schres.2017.08.013. View

4.
Gold J, Waltz J, Matveeva T, Kasanova Z, Strauss G, Herbener E . Negative symptoms and the failure to represent the expected reward value of actions: behavioral and computational modeling evidence. Arch Gen Psychiatry. 2012; 69(2):129-38. PMC: 4406055. DOI: 10.1001/archgenpsychiatry.2011.1269. View

5.
Piskulic D, Addington J, Cadenhead K, Cannon T, Cornblatt B, Heinssen R . Negative symptoms in individuals at clinical high risk of psychosis. Psychiatry Res. 2012; 196(2-3):220-4. PMC: 4119605. DOI: 10.1016/j.psychres.2012.02.018. View