Combining clinical with cognitive or MRI data for predicting transition to psychosis in ultra-high risk patients: Data from the PACE 400 cohort-Reference-Cited by-同舟云学术

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Combining clinical with cognitive or MRI data for predicting transition to psychosis in ultra-high risk patients: Data from the PACE 400 cohort

Published:2023-12 Issue: Volume: Page:
ISSN:2451-9022
Container-title:Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
language:en
Short-container-title:Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

Author:

Hartmann Simon^ORCID,Cearns Micah,Pantelis Christos,Dwyer Dominic,Cavve Blake,Byrne Enda,Scott Isabelle,Yuen Hok Pan,Gao Caroline,Allott Kelly,Lin Ashleigh,Wood Stephen J.,Wigman Johanna T.W.,Amminger Paul,McGorry Patrick D.,Yung Alison R.,Nelson Barnaby,Clark Scott R.

Funder

NHMRC

Publisher

Elsevier BV

Subject

Biological Psychiatry,Neurology (clinical),Cognitive Neuroscience,Radiology, Nuclear Medicine and imaging

Reference85 articles.

1. Mapping the Onset of Psychosis: The Comprehensive Assessment of At-Risk Mental States;Yung;Aust. New Zeal. J. Psychiatry,2005

2. Probability of Transition to Psychosis in Individuals at Clinical High Risk: An Updated Meta-analysis;Salazar de Pablo;JAMA Psychiatry,2021

3. The Role of Cognition and Social Functioning as Predictors in the Transition to Psychosis for Youth With Attenuated Psychotic Symptoms;Addington;Schizophr. Bull,2017

4. Adding a neuroanatomical biomarker to an individualized risk calculator for psychosis: A proof-of-concept study;Chung;Schizophr. Res,2019

5. An Individualized Risk Calculator for Research in Prodromal Psychosis;Cannon;Am. J. Psychiatry,2016

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