| Literature DB >> 30995969 |
Zachary B Millman1, Keith Gallagher2, Caroline Demro3, Jason Schiffman4, Gloria M Reeves2, James M Gold5, Pamela J Rakhshan Rouhakhtar1, John Fitzgerald1, Nicole D Andorko1, Samantha Redman1, Robert W Buchanan5, Laura M Rowland5, James A Waltz5.
Abstract
Abnormal reward processing is thought to play an important role in the development of psychosis, but relatively few studies have examined reward prediction errors, reinforcement learning (RL), and the reward circuitry that subserves these interconnected processes among individuals at clinical high-risk (CHR) for the disorder. Here, we present behavioral and functional neuroimaging results of two experimental tasks designed to measure overlapping aspects of reward processing among individuals at CHR (n = 22) and healthy controls (n = 19). We found no group differences in response times to positive, negative, or neutral outcome-signaling cues, and no significant differences in brain activation during reward anticipation or receipt. Youth at CHR, however, displayed clear RL impairments, as well as attenuated responses to rewards and blunted prediction error signals in the ventral striatum, dorsal anterior cingulate cortex (dACC), and ventromedial prefrontal cortex (vmPFC). Greater contrasts for cue valence (gain-loss) and outcome magnitude (large-small) in the vmPFC were associated with more severe negative symptoms, and deficits in dACC signaling during RL were associated with more depressive symptoms. Our results provide evidence for RL deficits and abnormal prediction error signaling in the brain's reward circuitry among individuals at CHR, while also suggesting that reward motivation may be relatively preserved at this stage in development. Longitudinal studies, medication-free participants, and comparison of neurobehavioral measures against both healthy and clinical controls are needed to better understand the role of reward system abnormalities in the development of psychosis.Entities:
Keywords: Clinical high-risk; Prediction error; Psychosis; Reinforcement learning; Reward processing; fMRI
Mesh:
Year: 2019 PMID: 30995969 PMCID: PMC6801019 DOI: 10.1016/j.schres.2019.03.017
Source DB: PubMed Journal: Schizophr Res ISSN: 0920-9964 Impact factor: 4.939