Comprehensive review: Computational modelling of schizophrenia

Valton, Vincent; Romaniuk, Liana; Steele, J. Douglas; Lawrie, Stephen M.; Seriès, Peggy

doi:10.1016/j.neubiorev.2017.08.022

Cited by 73 publications

(79 citation statements)

References 225 publications

(372 reference statements)

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“…In parallel, there has been increased interest in using these types of finding as foundations for theoretical approaches to link the underlying biological dysfunctions to observed symptoms in patients (e.g., refs. [21,[87][88][89]).…”

Section: Discussionmentioning

confidence: 99%

Amphetamine disrupts haemodynamic correlates of prediction errors in nucleus accumbens and orbitofrontal cortex

Werlen

Shin

Gastambide

et al. 2019

Neuropsychopharmacol.

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In an uncertain world, the ability to predict and update the relationships between environmental cues and outcomes is a fundamental element of adaptive behaviour. This type of learning is typically thought to depend on prediction error, the difference between expected and experienced events and in the reward domain that has been closely linked to mesolimbic dopamine. There is also increasing behavioural and neuroimaging evidence that disruption to this process may be a cross-diagnostic feature of several neuropsychiatric and neurological disorders in which dopamine is dysregulated. However, the precise relationship between haemodynamic measures, dopamine and reward-guided learning remains unclear. To help address this issue, we used a translational technique, oxygen amperometry, to record haemodynamic signals in the nucleus accumbens (NAc) and orbitofrontal cortex (OFC), while freely moving rats performed a probabilistic Pavlovian learning task. Using a model-based analysis approach to account for individual variations in learning, we found that the oxygen signal in the NAc correlated with a reward prediction error, whereas in the OFC it correlated with an unsigned prediction error or salience signal. Furthermore, an acute dose of amphetamine, creating a hyperdopaminergic state, disrupted rats' ability to discriminate between cues associated with either a high or a low probability of reward and concomitantly corrupted prediction error signalling. These results demonstrate parallel but distinct prediction error signals in NAc and OFC during learning, both of which are affected by psychostimulant administration. Furthermore, they establish the viability of tracking and manipulating haemodynamic signatures of reward-guided learning observed in human fMRI studies by using a proxy signal for BOLD in a freely behaving rodent.

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Section: Discussionmentioning

confidence: 99%

Amphetamine disrupts haemodynamic correlates of prediction errors in nucleus accumbens and orbitofrontal cortex

Werlen

Shin

Gastambide

et al. 2019

Neuropsychopharmacol.

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“…Research paradigms and models that highlight the function and failure of sensory predictions also lend themselves to the growing area of computational psychiatry . Modeling data from such paradigms (e.g., eye movements, motor systems, and auditory system) may lead to identifying distinct disease subprocesses or patient subgroups . In the specific case of schizophrenia, a caveat is that the sensory predictive processing framework may not provide an account of negative symptoms, or explain why symptoms differ so markedly from patient to patient, producing highly variable psychosocial and functional outcomes.…”

Section: Clinical Significance For Psychosis and Related Symptomsmentioning

confidence: 99%

The function and failure of sensory predictions

Bansal

Ford

Spering

2018

Annals of the New York Academy of Sciences

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Humans and other primates are equipped with neural mechanisms that allow them to automatically make predictions about future events, facilitating processing of expected sensations and actions. Prediction-driven control and monitoring of perceptual and motor acts are vital to normal cognitive functioning. This review provides an overview of corollary discharge mechanisms involved in predictions across sensory modalities and discusses consequences of predictive coding for cognition and behavior. Converging evidence now links impairments in corollary discharge mechanisms to neuropsychiatric symptoms such as hallucinations and delusions. We review studies supporting a prediction-failure hypothesis of perceptual and cognitive disturbances. We also outline neural correlates underlying prediction function and failure, highlighting similarities across the visual, auditory, and somatosensory systems. In linking basic psychophysical and psychophysiological evidence of visual, auditory, and somatosensory prediction failures to neuropsychiatric symptoms, our review furthers our understanding of disease mechanisms.

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“…This has raised the possibility that changes in behaviour and brain responses during reward anticipation and reinforcement learning might act as a cross-diagnostic pre-clinical translational biomarker [16,86]. In parallel, there has been increased interest in using these types of finding as foundations for theoretical approaches to link underlying biological dysfunctions to observed symptoms in patients (e.g., [21,[87][88][89]).…”

Section: Discussionmentioning

confidence: 99%

Amphetamine disrupts haemodynamic correlates of prediction errors in nucleus accumbens and orbitofrontal cortex

Werlen

Shin

Gastambide

et al. 2019

Preprint

View full text Add to dashboard Cite

In an uncertain world, the ability to predict and update the relationships between environmental cues and outcomes is a fundamental element of adaptive behaviour. This type of learning is typically thought to depend on prediction error, the difference between expected and experienced events, and in the reward domain this has been closely linked to mesolimbic dopamine. There is also increasing behavioural and neuroimaging evidence that disruption to this process may be a cross-diagnostic feature of several neuropsychiatric and neurological disorders in which dopamine is dysregulated. However, the precise relationship between haemodynamic measures, dopamine and reward-guided learning remains unclear.To help address this issue, we used a translational technique, oxygen amperometry, to record haemodynamic signals in the nucleus accumbens (NAc) and orbitofrontal cortex (OFC) while freely-moving rats performed a probabilistic Pavlovian learning task. Using a model-based analysis approach to account for individual variations in learning, we found that the oxygen signal in the NAc correlated with a reward prediction error, whereas in the OFC it correlated with an unsigned prediction error or salience signal. Furthermore, an acute dose of amphetamine, creating a hyperdopaminergic state, disrupted rats' ability to discriminate between cues associated with either a high or a low probability of reward and concomitantly corrupted prediction error signalling. These results demonstrate parallel but distinct prediction error signals in NAc and OFC during learning, both of which are affected by psychostimulant administration. Furthermore, they establish the viability of tracking and manipulating haemodynamic signatures of reward-guided learning observed in human fMRI studies using a proxy signal for BOLD in a freely behaving rodent.

show abstract

Comprehensive review: Computational modelling of schizophrenia

Cited by 73 publications

References 225 publications

Amphetamine disrupts haemodynamic correlates of prediction errors in nucleus accumbens and orbitofrontal cortex

Amphetamine disrupts haemodynamic correlates of prediction errors in nucleus accumbens and orbitofrontal cortex

The function and failure of sensory predictions

Amphetamine disrupts haemodynamic correlates of prediction errors in nucleus accumbens and orbitofrontal cortex

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