ArticleHuman brain mapping2017
Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.
Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice.Schizophrenia bulletin · 2021Pooled it
- Multivariable prediction of functional outcome after first-episode psychosis: a crossover validation approach in EUFEST and PSYSCAN.Schizophrenia (Heidelberg, Germany) · 2024Article
- Multimodal fusion of brain signals for robust prediction of psychosis transition.Schizophrenia (Heidelberg, Germany) · 2024Article
- Psychotic Like Experiences in Healthy Adolescents are Underpinned by Lower Fronto-Temporal Cortical Gyrification: a Study from the IMAGEN Consortium.Schizophrenia bulletin · 2023Article
- A Review of Potential Neuroimaging Biomarkers of Schizophrenia-Risk.Journal of psychiatry and brain science · 2023Article
- Automatic auditory processing features in distinct subtypes of patients at clinical high risk for psychosis: Forecasting remission with mismatch negativity.Human brain mapping · 2022Article
- Performance scaling for structural MRI surface parcellations: a machine learning analysis in the ABCD Study.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Shape features of working memory-related deep-brain regions differentiate high and low community functioning in schizophrenia.Schizophrenia research. Cognition · 2022Article
- Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosis.Translational psychiatry · 2022Article
- Evidence From Imaging Resilience Genetics for a Protective Mechanism Against Schizophrenia in the Ventral Visual Pathway.Schizophrenia bulletin · 2022Article
- Crossroad between current knowledge and new perspective of diagnostic and therapy of late-onset schizophrenia and very late-onset schizophrenia-like psychosis: An update.Frontiers in psychiatry · 2022Review
- Prediction of Facial Emotion Recognition Ability in Patients With First-Episode Schizophrenia Using Amplitude of Low-Frequency Fluctuation-Based Support Vector Regression Model.Frontiers in psychiatry · 2022Article
- The Electroretinogram as a Potential Biomarker of Psychosis in Children at Familial Risk.Schizophrenia bulletin open · 2022Article
- The Relationship Between Grey Matter Volume and Clinical and Functional Outcomes in People at Clinical High Risk for Psychosis.Schizophrenia bulletin open · 2022Article
- Distress severity in perceptual anomalies moderates the relationship between prefrontal brain structure and psychosis proneness in nonclinical individuals.European archives of psychiatry and clinical neuroscience · 2021Article
- Multivariate pattern analysis of brain structure predicts functional outcome after auditory-based cognitive training interventions.NPJ schizophrenia · 2021Article
- Individualized prediction of three- and six-year outcomes of psychosis in a longitudinal multicenter study: a machine learning approach.NPJ schizophrenia · 2021Article
- Longitudinal outcome of attenuated positive symptoms, negative symptoms, functioning and remission in people at clinical high risk for psychosis: a meta-analysis.EClinicalMedicine · 2021Article
- Overlapping Neurobiological Substrates for Early-Life Stress and Resilience to Psychosis.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021Review
- Grey-matter abnormalities in clinical high-risk participants for psychosis.Schizophrenia research · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An important focus of studies of individuals at ultra-high risk (UHR) for psychosis has been to identify biomarkers to predict which individuals will transition to psychosis. However, the majority of individuals will prove to be resilient and go on to experience remission of their symptoms and function well. The aim of this study was to investigate the possibility of using structural MRI measures collected in UHR adolescents at baseline to quantitatively predict their long-term clinical outcome and level of functioning. We included 64 UHR individuals and 62 typically developing adolescents (12-18 years old at recruitment). At six-year follow-up, we determined resilience for 43 UHR individuals. Support Vector Regression analyses were performed to predict long-term functional and clinical outcome from baseline MRI measures on a continuous scale, instead of the more typical binary classification. This led to predictive correlations of baseline MR measures with level of functioning, and negative and disorganization symptoms. The highest correlation (r = 0.42) was found between baseline subcortical volumes and long-term level of functioning. In conclusion, our results show that structural MRI data can be used to quantitatively predict long-term functional and clinical outcome in UHR individuals with medium effect size, suggesting that there may be scope for predicting outcome at the individual level. Moreover, we recommend classifying individual outcome on a continuous scale, enabling the assessment of different functional and clinical scales separately without the need to set a threshold. Hum Brain Mapp 38:704-714, 2017. © 2016 Wiley Periodicals, Inc.
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