ArticleJournal of psychiatry and brain science2021
Computerized Assessment of Psychosis Risk.
Article in Journal of psychiatry and brain science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 13 citations in OpenAlex.
- The effect of monetary versus point-based rewards on effort-cost decision making in individuals at clinical high risk for psychosis.Schizophrenia research · 2026Trial
- Environmental Exposures and Computational Mechanisms in Psychosis Risk: Insights from a Multi-Site Cohort.Clinical psychological science : a journal of the Association for Psychological Science · 2026Article
- Computerized assessments of emotional expression and emotional reactivity predict negative symptoms in individuals at clinical high-risk for psychosis.Psychological medicine · 2026Article
- Value representation in youth psychopathology: evidence of a transdiagnostic risk mechanism for psychosis.Translational psychiatry · 2026Article
- Psychosis Risk is Associated with Increased Multimodal Reports of Socially Salient Content in Degraded Stimuli.Schizophrenia bulletin open · 2026Article
- Revisiting the Defeatist Performance Belief Scale in Adults With Schizophrenia and Youth at Clinical High-Risk for Psychosis: A Comprehensive Psychometric Analysis.Schizophrenia bulletin · 2025Article
- Shift in sex and age of individuals at a clinical high risk (CHR) for psychosis: relation to differences in recruitment methods and effect on sample characteristics.Schizophrenia (Heidelberg, Germany) · 2025Article
- Identifying individuals at clinical high risk for psychosis using a battery of tasks sensitive to symptom mechanisms.Translational psychiatry · 2025Article
- Functional correlates of atypical visuoperceptual organization in a multisite clinical high-risk sample.Journal of psychopathology and clinical science · 2025Article
- Interpersonal difficulties and suicidal ideation in young people at clinical high-risk for psychosis and help-seeking clinical controls.Psychiatry research · 2025Article
- Increased face perception in individuals at clinical high-risk for psychosis: mechanisms, sex differences, and clinical correlates.Schizophrenia (Heidelberg, Germany) · 2025Article
- A generalized reward processing deficit pathway to negative symptoms across diagnostic boundaries.Psychological medicine · 2025Article
- The ENTER study (E-DetectioN Tool for Emerging Mental DisoRders): general population recruitment and data integrity in online screening for psychosis risk.Frontiers in psychiatry · 2025Article
- Baseline Social Functioning Is Associated with Increased Likelihood of Remission from a Clinical High Risk for Psychosis Syndrome.Schizophrenia bulletin open · 2025Article
- Different learning aberrations relate to delusion-like beliefs with different contents.Brain : a journal of neurology · 2024Article
- The reliability and validity of the revised Green et al. paranoid thoughts scale in individuals at clinical high-risk for psychosis.Acta psychiatrica Scandinavica · 2023Article
- Self-reported Gesture Interpretation and Performance Deficits in Individuals at Clinical High Risk for Psychosis.Schizophrenia bulletin · 2023Article
- Comparing a Computerized Digit Symbol Test to a Pen-and-Paper Classic.Schizophrenia bulletin open · 2023Article
- Three prominent self-report risk measures show unique and overlapping utility in characterizing those at clinical high-risk for psychosis.Schizophrenia research · 2022Article
Corrections and comments
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Authors and funding
15 authors at 9 institutions in 1 country.
Funding
Abstract
Early detection and intervention with young people at clinical high risk (CHR) for psychosis is critical for prevention efforts focused on altering the trajectory of psychosis. Early CHR research largely focused on validating clinical interviews for detecting at-risk individuals; however, this approach has limitations related to: (1) specificity (i.e., only 20% of CHR individuals convert to psychosis) and (2) the expertise and training needed to administer these interviews is limited. The purpose of our study is to develop the computerized assessment of psychosis risk (CAPR) battery, consisting of behavioral tasks that require minimal training to administer, can be administered online, and are tied to the neurobiological systems and computational mechanisms implicated in psychosis. The aims of our study are as follows: (1A) to develop a psychosis-risk calculator through the application of machine learning (ML) methods to the measures from the CAPR battery, (1B) evaluate group differences on the risk calculator score and test the hypothesis that the risk calculator score of the CHR group will differ from help-seeking and healthy controls, (1C) evaluate how baseline CAPR battery performance relates to symptomatic outcome two years later (i.e., conversion and symptomatic worsening). These aims will be explored in 500 CHR participants, 500 help-seeking individuals, and 500 healthy controls across the study sites. This project will provide a next-generation CHR battery, tied to illness mechanisms and powered by cutting-edge computational methods that can be used to facilitate the earliest possible detection of psychosis risk.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.