Comprehensive review: Computational modelling of schizophrenia

  title={Comprehensive review: Computational modelling of schizophrenia},
  author={Vincent Valton and Liana Romaniuk and J. Douglas Steele and Stephen M. Lawrie and Peggy Seri{\`e}s},
  journal={Neuroscience \& Biobehavioral Reviews},

Towards a Unifying Cognitive, Neurophysiological, and Computational Neuroscience Account of Schizophrenia.

Translating the promise of the Bayesian hierarchical predictive coding into patient benefit will come from integrating this framework with existing knowledge of the etiology and pathophysiology of psychosis, especially regarding hippocampal-prefrontal-striatal network function and neural mechanisms of information processing and belief updating.

Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches

Translating progress in neuroscience into clinical benefits for patients with psychiatric disorders is challenging because it involves the brain as the most complex organ and its interaction with a

Towards biologically constrained attractor models of schizophrenia

Alterations in neuromodulation or synaptic transmission in biophysical attractor network models, as proposed by the dominant dopaminergic and glutamatergic theories of schizophrenia, successfully

Neuronal and Astrocytic Regulations in Schizophrenia: A Computational Modelling Study

In simulations, the impairment of both neurons and astrocytes disturbs the neuronal network activity in schizophrenia, and an increase in synaptic weights of excitatory or inhibitory neurons raises the excitability of individual cells and elevates the activation level of the network.

Innovative screening models for the discovery of new schizophrenia drug therapies: an integrated approach

In this review, the authors present the key concepts that validate animal models of schizophrenia, as well as the different screening approaches for novel schizophrenia treatments, either based on major neurotransmitter systems or neurodevelopmental, immune, and genetic approaches.

Models of decision making and behavioural control in computational psychiatry

Computational psychiatry, which is a recent area of research, involves the use of statistical and computational methods to investigate human psychopathology and the brain. Here, I present models of



From drugs to deprivation: a Bayesian framework for understanding models of psychosis

Current Bayesian formulations of information processing in the brain provide a framework that maps onto neural circuitry and gives a context within which to relate the symptoms of psychosis to their underlying causes, and provides a useful setting in which to consider an under-researched model of psychosis—sensory deprivation.

Neural modelling of psychiatric disorders

The paper reviews recent neural modelling studies of psychiatric disorders. Numerous aspects of psychiatric disturbances have been investigated, such as the role of synaptic changes in the

Schizophrenia: an integrated sociodevelopmental-cognitive model

Hyperlearning: A Connectionist Model of Psychosis in Schizophrenia

“Hyperlearning”, a simulation of excessive dopamine release, is shown to produce a compelling model for both delusional and derailed language, suggesting how clinical subtypes of schizophrenia could arise from a common underlying process.

Animal Models of Psychosis

In addition to clarifying aspects of the pathophysiology of these disorders, animal models are crucial for identifying candidate compounds that may be developed as medications; novel medications are especially needed for the negative and cognitive symptom domains of psychopathology, which may be less dependent on abnormalities of dopaminergic neurotransmission.

Prediction error, ketamine and psychosis: An updated model

The expanded model explains hallucinations as perturbations of the uncertainty mediated balance between expectation and prediction error, where expectations dominate and create perceptions by suppressing or ignoring actual inputs.

The dopamine hypothesis of schizophrenia: version III--the final common pathway.

The dopamine hypothesis of schizophrenia-version III is synthesized into a comprehensive framework that links risk factors, including pregnancy and obstetric complications, stress and trauma, drug use, and genes, to increased presynaptic striatal dopaminergic function.

Book Review: Neural Network Models of Schizophrenia

There is considerable neurobiological evidence suggesting that schizophrenia is associated with reduced corticocortical connectivity. The authors describe two neural network computer simulations that