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Found 8 papers, 0 papers with code
A computational account of the development and evolution of psychotic symptoms
We propose a model for understanding the emergence of psychotic symptoms within the context of an adaptive, developing neural system.
Emergence and dynamics of delusions and hallucinations across stages in early psychosis
In all three samples, participants were more likely to report the onset of delusion-spectrum symptoms prior to hallucination-spectrum symptoms (odds ratios (OR): NAPLS 2 = 4. 09; NAPLS 3 = 4. 14; PEPP, Z = 7. 01, P < 0. 001) and to present with only delusions compared to only hallucinations (OR: NAPLS 2 = 5. 6; NAPLS 3 = 11. 11; PEPP = 42. 75).
Evidence for Reduced Sensory Precision and Increased Reliance on Priors in Hallucination-Prone Individuals in a General Population Sample
Replicating past results, higher CH rates were associated with measures of higher hallucination-proneness and recent hallucinatory experiences; CH rates were positively correlated with increased prior weighting; and increased prior weighting was related to recent hallucinatory experiences.
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
We analyzed data from six clinical trials of pharmacological treatment for depression (total n = 5438) using the Differential Prototypes Neural Network (DPNN), a neural network model that derives patient prototypes which can be used to derive treatment-relevant patient clusters while learning to generate probabilities for differential treatment response.
Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?
Clinical decision support systems (CDSS) augmented with artificial intelligence (AI) models are emerging as potentially valuable tools in healthcare.
Barriers and Solutions to the Adoption of Clinical Tools for Computational Psychiatry
Computational psychiatry is a field aimed at developing formal models of information processing in the human brain, and how alterations in this processing can lead to clinical phenomena.
Computational Mechanism for the Effect of Psychosis Community Treatment: A Conceptual Review from Neurobiology to Social Interaction
We discuss how computational models explain the resulting reduction in symptoms, as well as the predictions these models make about potential responses of patients to modifications or to different variations of these interventions.
Big Data Analytics and AI in Mental Healthcare
Mental health conditions cause a great deal of distress or impairment; depression alone will affect 11% of the world's population.
