Predictors of transition in patients with clinical high risk for psychosis: an umbrella review
Diagnosis of a clinical high-risk (CHR) state enables timely treatment of individuals at risk for
a psychotic disorder, thereby contributing to improving illness outcomes. However, only a …
a psychotic disorder, thereby contributing to improving illness outcomes. However, only a …
Toward generalizable and transdiagnostic tools for psychosis prediction: an independent validation and improvement of the NAPLS-2 risk calculator in the multisite …
Background Transition to psychosis is among the most adverse outcomes of clinical high-
risk (CHR) syndromes encompassing ultra-high risk (UHR) and basic symptom states …
risk (CHR) syndromes encompassing ultra-high risk (UHR) and basic symptom states …
Increased belief instability in psychotic disorders predicts treatment response to metacognitive training
Abstract Background and Hypothesis In a complex world, gathering information and
adjusting our beliefs about the world is of paramount importance. The literature suggests …
adjusting our beliefs about the world is of paramount importance. The literature suggests …
Individualized prediction of prodromal symptom remission for youth at clinical high risk for psychosis
MA Worthington, J Addington, CE Bearden… - Schizophrenia …, 2022 - academic.oup.com
The clinical high-risk period before a first episode of psychosis (CHR-P) has been widely
studied with the goal of understanding the development of psychosis; however, less …
studied with the goal of understanding the development of psychosis; however, less …
Multidimensional predictors of negative symptoms in antipsychotic-naive first-episode psychosis
Background: Despite a large body of schizophrenia research, we still have no reliable
predictors to guide treatment from illness onset. The present study aimed to identify baseline …
predictors to guide treatment from illness onset. The present study aimed to identify baseline …
A 10-Year Longitudinal Study of Brain Cortical Thickness in People with First-Episode Psychosis using Normative Models
Background Clinical forecasting models have potential to optimize treatment and improve
outcomes in psychosis, but predicting long-term outcomes is challenging and long-term …
outcomes in psychosis, but predicting long-term outcomes is challenging and long-term …
Contrasting frontoparietal network connectivity in antipsychotic medication-naive first-episode psychosis patients who do and do not display features of the deficit …
Background The deficit syndrome is a clinical subtype of schizophrenia that is characterized
by enduring negative symptoms. Several lines of evidence point to frontoparietal …
by enduring negative symptoms. Several lines of evidence point to frontoparietal …
Multidimensional predictors of negative symptoms in antipsychotic-naive first-episode psychosis
A Toll Privat, L Blanco Hinojo, D Bergé… - J Psychiatry Neurosci …, 2022 - repositori.upf.edu
Background: Despite a large body of schizophrenia research, we still have no reliable
predictors to guide treatment from illness onset. The present study aimed to identify baseline …
predictors to guide treatment from illness onset. The present study aimed to identify baseline …
[PDF][PDF] Towards generalizable and transdiagnostic tools for psychosis prediction.
N Koutsouleris - kclpure.kcl.ac.uk
Background: Transition to psychosis is among the most adverse outcomes of the clinical
highrisk (CHR) syndromes encompassing ultra-high-risk (UHR) and basic symptoms states …
highrisk (CHR) syndromes encompassing ultra-high-risk (UHR) and basic symptoms states …