Literature DB >> 34240217

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

LeeAnn Akouri-Shan1, Jason Schiffman1,2, Zachary B Millman3,4, Caroline Demro5, John Fitzgerald1, Pamela J Rakhshan Rouhakhtar1, Samantha Redman1, Gloria M Reeves6, Shuo Chen7,8, James M Gold7, Elizabeth A Martin2, Cheryl Corcoran9, Jonathan P Roiser10, Robert W Buchanan7, Laura M Rowland7, James A Waltz7.   

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.
© The Author(s) 2021. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  depression; negative symptoms; psychosis risk; salience

Mesh:

Year:  2021        PMID: 34240217      PMCID: PMC8530392          DOI: 10.1093/schbul/sbab075

Source DB:  PubMed          Journal:  Schizophr Bull        ISSN: 0586-7614            Impact factor:   7.348


  58 in total

Review 1.  A computational substrate for incentive salience.

Authors:  Samuel M McClure; Nathaniel D Daw; P Read Montague
Journal:  Trends Neurosci       Date:  2003-08       Impact factor: 13.837

Review 2.  Computational roles for dopamine in behavioural control.

Authors:  P Read Montague; Steven E Hyman; Jonathan D Cohen
Journal:  Nature       Date:  2004-10-14       Impact factor: 49.962

3.  Negative symptoms and the failure to represent the expected reward value of actions: behavioral and computational modeling evidence.

Authors:  James M Gold; James A Waltz; Tatyana M Matveeva; Zuzana Kasanova; Gregory P Strauss; Ellen S Herbener; Anne G E Collins; Michael J Frank
Journal:  Arch Gen Psychiatry       Date:  2012-02

4.  Negative symptoms in individuals at clinical high risk of psychosis.

Authors:  Danijela Piskulic; Jean Addington; Kristin S Cadenhead; Tyrone D Cannon; Barbara A Cornblatt; Robert Heinssen; Diana O Perkins; Larry J Seidman; Ming T Tsuang; Elaine F Walker; Scott W Woods; Thomas H McGlashan
Journal:  Psychiatry Res       Date:  2012-03-22       Impact factor: 3.222

5.  Neuroleptic-free youth at ultrahigh risk for psychosis evidence diminished emotion reactivity that is predicted by depression and anxiety.

Authors:  June Gruber; Gregory P Strauss; Laure Dombrecht; Vijay A Mittal
Journal:  Schizophr Res       Date:  2017-08-12       Impact factor: 4.939

6.  Late electrophysiological potentials and emotion in schizophrenia: A meta-analytic review.

Authors:  Mayan K Castro; Drew H Bailey; Joanne F Zinger; Elizabeth A Martin
Journal:  Schizophr Res       Date:  2019-07-17       Impact factor: 4.939

7.  Working memory contributions to reinforcement learning impairments in schizophrenia.

Authors:  Anne G E Collins; Jaime K Brown; James M Gold; James A Waltz; Michael J Frank
Journal:  J Neurosci       Date:  2014-10-08       Impact factor: 6.167

8.  Interactions Among Working Memory, Reinforcement Learning, and Effort in Value-Based Choice: A New Paradigm and Selective Deficits in Schizophrenia.

Authors:  Anne G E Collins; Matthew A Albrecht; James A Waltz; James M Gold; Michael J Frank
Journal:  Biol Psychiatry       Date:  2017-05-31       Impact factor: 13.382

Review 9.  Reward processing in schizophrenia: a deficit in the representation of value.

Authors:  James M Gold; James A Waltz; Kristen J Prentice; Sarah E Morris; Erin A Heerey
Journal:  Schizophr Bull       Date:  2008-06-30       Impact factor: 9.306

10.  Reward-Processing Behavior in Depressed Participants Relative to Healthy Volunteers: A Systematic Review and Meta-analysis.

Authors:  D Chamith Halahakoon; Karel Kieslich; Ciarán O'Driscoll; Akshay Nair; Glyn Lewis; Jonathan P Roiser
Journal:  JAMA Psychiatry       Date:  2020-12-01       Impact factor: 21.596

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  1 in total

1.  Linking Salience Signaling With Early Adversity and Affective Distress in Individuals at Clinical High Risk for Psychosis: Results From an Event-Related fMRI Study.

Authors:  Zachary B Millman; Jason Schiffman; James M Gold; LeeAnn Akouri-Shan; Caroline Demro; John Fitzgerald; Pamela J Rakhshan Rouhakhtar; Mallory Klaunig; Laura M Rowland; James A Waltz
Journal:  Schizophr Bull Open       Date:  2022-06-17
  1 in total

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