Prediction of transition to psychosis from an at-risk mental state using structural neuroimaging, genetic, and environmental data

Probability of Transition to Psychosis in Individuals at Clinical High Risk

(2021) Gonzalo Salazar de Pablo et al.   JAMA Psychiatry

Evaluation of Genotype-Based Gene Expression Model Performance: A Cross-Framework and Cross-Dataset Study

(2021) Vânia Tavares et al.   Genes

The influence of risk factors on the onset and outcome of psychosis: What we learned from the GAP study

(2020) R.M. Murray et al.   SCHIZOPHRENIA RESEARCH

Detect and Correct Bias in Multi-Site Neuroimaging Datasetstn1]

(2020) Christian Wachinger et al.   MEDICAL IMAGE ANALYSIS

Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression

(2020) Nikolaos Koutsouleris et al.   JAMA Psychiatry

The Maudsley environmental risk score for psychosis

(2019) Evangelos Vassos et al.   PSYCHOLOGICAL MEDICINE

Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice

(2019) Stefania Tognin et al.   SCHIZOPHRENIA BULLETIN

Polygenic Risk Score Contribution to Psychosis Prediction in a Target Population of Persons at Clinical High Risk

(2019) Diana O. Perkins et al.   AMERICAN JOURNAL OF PSYCHIATRY

A pattern of cognitive deficits stratified for gene-and-environment risk reliably classifies patients with schizophrenia from healthy controls

(2019) Linda A. Antonucci et al.   BIOLOGICAL PSYCHIATRY

Comparing SPM12 and CAT12 segmentation pipelines: a brain tissue volume-based age and Alzheimer’s disease study

(2019) Vânia Tavares et al.   JOURNAL OF NEUROSCIENCE METHODS

Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection

(2018) Antonio F. Pardiñas et al.   NATURE GENETICS

Disorganized Gyrification Network Properties During the Transition to Psychosis

(2018) Tushar Das et al.   JAMA Psychiatry

The Complexities of Evaluating the Exposome in Psychiatry: A Data-Driven Illustration of Challenges and Some Propositions for Amendments

(2018) Sinan Guloksuz et al.   SCHIZOPHRENIA BULLETIN

Incidence of psychotic disorders and its association with methodological issues. A systematic review and meta-analyses

(2018) M.C. Castillejos et al.   SCHIZOPHRENIA RESEARCH

Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression

(2018) Nikolaos Koutsouleris et al.   JAMA Psychiatry

Predictive modeling of schizophrenia from genomic data: Comparison of polygenic risk score with kernel support vector machines approach

(2018) Timothy Vivian-Griffiths et al.   AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS

Prediction of Schizophrenia Diagnosis by Integration of Genetically Correlated Conditions and Traits

(2018) Jingchun Chen et al.   Journal of Neuroimmune Pharmacology

Cognitive Deficits in Psychotic Disorders: A Lifespan Perspective

(2018) Julia M. Sheffield et al.   NEUROPSYCHOLOGY REVIEW

Individualized prediction of psychosis in subjects with an at-risk mental state

(2017) Eleni Zarogianni et al.   SCHIZOPHRENIA RESEARCH

The “polyenviromic risk score”: Aggregating environmental risk factors predicts conversion to psychosis in familial high-risk subjects

(2017) Jaya L. Padmanabhan et al.   SCHIZOPHRENIA RESEARCH

Improved individualized prediction of schizophrenia in subjects at familial high risk, based on neuroanatomical data, schizotypal and neurocognitive features

(2017) Eleni Zarogianni et al.   SCHIZOPHRENIA RESEARCH

Gene expression elucidates functional impact of polygenic risk for schizophrenia

(2016) Menachem Fromer et al.   NATURE NEUROSCIENCE

Prediction of outcome in the psychosis prodrome using neuroanatomical pattern classification

(2016) Lana Kambeitz-Ilankovic et al.   SCHIZOPHRENIA RESEARCH

The Effect of Age Correction on Multivariate Classification in Alzheimer’s Disease, with a Focus on the Characteristics of Incorrectly and Correctly Classified Subjects

(2015) Farshad Falahati et al.   BRAIN TOPOGRAPHY

Schizophrenia

(2015) René S. Kahn et al.   Nature Reviews Disease Primers

Biological insights from 108 schizophrenia-associated genetic loci

(2014)   NATURE

Clinically meaningful biomarkers for psychosis: A systematic and quantitative review

(2014) Diana Prata et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

A meta-analysis of sex differences in human brain structure

(2014) Amber N.V. Ruigrok et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Detecting the Psychosis Prodrome Across High-Risk Populations Using Neuroanatomical Biomarkers

(2014) Nikolaos Koutsouleris et al.   SCHIZOPHRENIA BULLETIN

A Genome-wide Association Analysis of a Broad Psychosis Phenotype Identifies Three Loci for Further Investigation

(2013)   BIOLOGICAL PSYCHIATRY

Predicting sample size required for classification performance

(2012) Rosa L Figueroa et al.   BMC Medical Informatics and Decision Making

Basic Symptoms and the Prediction of First-Episode Psychosis

(2012) Frauke Schultze-Lutter et al.   CURRENT PHARMACEUTICAL DESIGN

At Risk for Schizophrenic or Affective Psychoses? A Meta-Analysis of DSM/ICD Diagnostic Outcomes in Individuals at High Clinical Risk

(2012) Paolo Fusar-Poli et al.   SCHIZOPHRENIA BULLETIN

North American Prodrome Longitudinal Study (NAPLS 2): Overview and recruitment

(2012) Jean Addington et al.   SCHIZOPHRENIA RESEARCH

The Psychosis High-Risk State

(2012) Paolo Fusar-Poli et al.   JAMA Psychiatry

Structural Brain Changes in Aging: Courses, Causes and Cognitive Consequences

(2011) Anders M. Fjell et al.   REVIEWS IN THE NEUROSCIENCES

Disease Prediction in the At-Risk Mental State for Psychosis Using Neuroanatomical Biomarkers: Results From the FePsy Study

(2011) Nikolaos Koutsouleris et al.   SCHIZOPHRENIA BULLETIN

A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia

(2010) Honghui Yang et al.   Frontiers in Human Neuroscience

Machine Learning Techniques for Single Nucleotide Polymorphism—Disease Classification Models in Schizophrenia

(2010) Vanessa Aguiar-Pulido et al.   MOLECULES

Use of Neuroanatomical Pattern Classification to Identify Subjects in At-Risk Mental States of Psychosis and Predict Disease Transition

(2009) Nikolaos Koutsouleris et al.   ARCHIVES OF GENERAL PSYCHIATRY

Combining gene expression, demographic and clinical data in modeling disease: a case study of bipolar disorder and schizophrenia

(2008) Jan Struyf et al.   BMC GENOMICS

Robust PCA for skewed data and its outlier map

(2008) Mia Hubert et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS