Detecting the psychosis prodrome across high-risk populations using neuroanatomical biomarkers.
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Neuroimaging biomarkers to predict treatment response in schizophrenia: the end of 30 years of solitude?Approaching a network connectivity-driven classification of the psychosis continuum: a selective review and suggestions for future researchMagnetic resonance imaging and the prediction of outcome in first-episode schizophrenia: a review of current evidence and directions for future researchEmotion recognition deficits as predictors of transition in individuals at clinical high risk for schizophrenia: a neurodevelopmental perspective.Early Recognition of High Risk of Bipolar Disorder and Psychosis: An Overview of the ZInEP "Early Recognition" Study.Improving Prognostic Accuracy in Subjects at Clinical High Risk for Psychosis: Systematic Review of Predictive Models and Meta-analytical Sequential Testing Simulation.Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis.White matter integrity in individuals at ultra-high risk for psychosis: a systematic review and discussion of the role of polyunsaturated fatty acids.Premorbid multivariate prediction of adult psychosis-spectrum disorder: A high-risk prospective investigationAt risk or not at risk? A meta-analysis of the prognostic accuracy of psychometric interviews for psychosis predictionIs neuroimaging clinically useful in subjects at high risk for psychosis?Brain Biomarkers of Vulnerability and Progression to PsychosisSchizophrenia in 2020: Trends in diagnosis and therapy.Predicting Response to Repetitive Transcranial Magnetic Stimulation in Patients With Schizophrenia Using Structural Magnetic Resonance Imaging: A Multisite Machine Learning Analysis.Reduced Thickness of the Anterior Cingulate Cortex in Individuals With an At-Risk Mental State Who Later Develop Psychosis.Early Detection of Psychosis: Recent Updates from Clinical High-Risk Research.Prediction of transition to psychosis in patients with a clinical high risk for psychosis: a systematic review of methodology and reporting.An Individualized Risk Calculator for Research in Prodromal Psychosis.Age-related brain structural alterations as an intermediate phenotype of psychosisRelationship between metacognitive beliefs and psychosocial performance in at-risk states of psychosis and patients with first psychotic episodes.Application of functional near infrared spectroscopy as supplementary examination for diagnosis of clinical stages of psychosis spectrum.SchizophreniaInfluence of demographic characteristics on attenuated positive psychotic symptoms in a young, help-seeking, at-risk population
P2860
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P2860
Detecting the psychosis prodrome across high-risk populations using neuroanatomical biomarkers.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Detecting the psychosis prodro ...... ng neuroanatomical biomarkers.
@ast
Detecting the psychosis prodro ...... ng neuroanatomical biomarkers.
@en
type
label
Detecting the psychosis prodro ...... ng neuroanatomical biomarkers.
@ast
Detecting the psychosis prodro ...... ng neuroanatomical biomarkers.
@en
prefLabel
Detecting the psychosis prodro ...... ng neuroanatomical biomarkers.
@ast
Detecting the psychosis prodro ...... ng neuroanatomical biomarkers.
@en
P2093
P2860
P50
P356
P1476
Detecting the psychosis prodro ...... ng neuroanatomical biomarkers.
@en
P2093
Carlos Cabral
Eva M Meisenzahl
Maximilian Reiser
Nikolaos Koutsouleris
Sebastian von Saldern
P2860
P304
P356
10.1093/SCHBUL/SBU078
P407
P50
P577
2014-06-09T00:00:00Z