An Integrative Perspective on the Role of Dopamine in Schizophrenia
Tiago V Maia, Michael J Frank, Tiago V Maia, Michael J Frank
Abstract
We propose that schizophrenia involves a combination of decreased phasic dopamine responses for relevant stimuli and increased spontaneous phasic dopamine release. Using insights from computational reinforcement-learning models and basic-science studies of the dopamine system, we show that each of these two disturbances contributes to a specific symptom domain and explains a large set of experimental findings associated with that domain. Reduced phasic responses for relevant stimuli help to explain negative symptoms and provide a unified explanation for the following experimental findings in schizophrenia, most of which have been shown to correlate with negative symptoms: reduced learning from rewards; blunted activation of the ventral striatum, midbrain, and other limbic regions for rewards and positive prediction errors; blunted activation of the ventral striatum during reward anticipation; blunted autonomic responding for relevant stimuli; blunted neural activation for aversive outcomes and aversive prediction errors; reduced willingness to expend effort for rewards; and psychomotor slowing. Increased spontaneous phasic dopamine release helps to explain positive symptoms and provides a unified explanation for the following experimental findings in schizophrenia, most of which have been shown to correlate with positive symptoms: aberrant learning for neutral cues (assessed with behavioral and autonomic responses), and aberrant, increased activation of the ventral striatum, midbrain, and other limbic regions for neutral cues, neutral outcomes, and neutral prediction errors. Taken together, then, these two disturbances explain many findings in schizophrenia. We review evidence supporting their co-occurrence and consider their differential implications for the treatment of positive and negative symptoms.
Keywords: Computational psychiatry; Dopamine; Negative symptoms; Prediction error; Psychosis; Reinforcement learning; Schizophrenia.
Conflict of interest statement
DISCLOSURES
TVM has no biomedical financial interests or potential conflicts of interest. MJF is a consultant for F. Hoffmann-La Roche Pharmaceuticals.
Copyright © 2016 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
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Source: PubMed