Use of machine learning to determine deviance in neuroanatomical maturity associated with future psychosis in youths at clinically high risk

Y Chung, J Addington, CE Bearden… - JAMA …, 2018 - jamanetwork.com
Importance Altered neurodevelopmental trajectories are thought to reflect heterogeneity in
the pathophysiologic characteristics of schizophrenia, but whether neural indicators of these …

[HTML][HTML] Cortical abnormalities in youth at clinical high-risk for psychosis: findings from the NAPLS2 cohort

Y Chung, D Allswede, J Addington, CE Bearden… - NeuroImage: Clinical, 2019 - Elsevier
In a recent machine learning study classifying “brain age” based on cross-sectional
neuroanatomical data, clinical high-risk (CHR) individuals were observed to show deviation …

[HTML][HTML] Selective review of neuroimaging findings in youth at clinical high risk for psychosis: on the path to biomarkers for conversion

JK Ellis, EF Walker, DR Goldsmith - Frontiers in Psychiatry, 2020 - frontiersin.org
First episode psychosis (FEP), and subsequent diagnosis of schizophrenia or
schizoaffective disorder, predominantly occurs during late adolescence, is accompanied by …

Neurocognitive growth charting in psychosis spectrum youths

RC Gur, ME Calkins, TD Satterthwaite… - JAMA …, 2014 - jamanetwork.com
Importance Psychosis-risk studies have examined help-seeking adolescents and young
adults. Population-based studies evaluating psychotic symptoms and neurocognitive …

Progressive reduction in cortical thickness as psychosis develops: a multisite longitudinal neuroimaging study of youth at elevated clinical risk

TD Cannon, Y Chung, G He, D Sun, A Jacobson… - Biological …, 2015 - Elsevier
Background Individuals at clinical high risk (CHR) who progress to fully psychotic symptoms
have been observed to show a steeper rate of cortical gray matter reduction compared with …

Accelerated brain aging in schizophrenia and beyond: a neuroanatomical marker of psychiatric disorders

N Koutsouleris, C Davatzikos, S Borgwardt… - Schizophrenia …, 2014 - academic.oup.com
Structural brain abnormalities are central to schizophrenia (SZ), but it remains unknown
whether they are linked to dysmaturational processes crossing diagnostic boundaries …

Age of onset of schizophrenia: perspectives from structural neuroimaging studies

N Gogtay, NS Vyas, R Testa, SJ Wood… - Schizophrenia …, 2011 - academic.oup.com
Many of the major neuropsychiatric illnesses, including schizophrenia, have a typical age of
onset in late adolescence. Late adolescence may reflect a critical period in brain …

Improving prediction of psychosis in youth at clinical high-risk: pre-baseline symptom duration and cortical thinning as moderators of the NAPLS2 risk calculator

MA Worthington, MA Collins, J Addington… - Psychological …, 2024 - cambridge.org
BackgroundClinical implementation of risk calculator models in the clinical high-risk for
psychosis (CHR-P) population has been hindered by heterogeneous risk distributions …

Detecting the psychosis prodrome across high-risk populations using neuroanatomical biomarkers

N Koutsouleris, A Riecher-Rössler… - Schizophrenia …, 2015 - academic.oup.com
To date, the MRI-based individualized prediction of psychosis has only been demonstrated
in single-site studies. It remains unclear if MRI biomarkers generalize across different …

Use of neuroanatomical pattern regression to predict the structural brain dynamics of vulnerability and transition to psychosis

N Koutsouleris, C Gaser, R Bottlender… - Schizophrenia …, 2010 - Elsevier
BACKGROUND: The at-risk mental state for psychosis (ARMS) has been associated with
abnormal structural brain dynamics underlying disease transition or non-transition. To date …