ArticleHuman brain mapping2021
Improving the predictive potential of diffusion MRI in schizophrenia using normative models-Towards subject-level classification.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Neuroimage analysis using artificial intelligence approaches: a systematic review.Medical & biological engineering & computing · 2024Pooled it
- Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.JAMA network open · 2023Pooled it
- Lifespan normative modeling of brain microstructure.Nature communications · 2026Article
- Normative age-related structural brain deviations underlying psychopathology, cognitive impairment and neurological soft signs in schizophrenia spectrum disorders.Translational psychiatry · 2026Article
- Investigating dopaminergic abnormalities in schizophrenia and first-episode psychosis with normative modelling and multisite molecular neuroimaging.Molecular psychiatry · 2025Article
- Neurofind: using deep learning to make individualised inferences in brain-based disorders.Translational psychiatry · 2025Article
- Common neuroanatomical differential factors underlying heterogeneous gray matter volume variations in five common psychiatric disorders.Communications biology · 2025Article
- A 10-Year Longitudinal Study of Brain Cortical Thickness in People with First-Episode Psychosis Using Normative Models.Schizophrenia bulletin · 2024Article
- Lifespan Normative Models of White Matter Fractional Anisotropy: Applications to Early Psychosis.bioRxiv : the preprint server for biology · 2024Article
- Parsing heterogeneity in global and local white matter integrity at different stages across the psychosis continuum.Schizophrenia (Heidelberg, Germany) · 2024Article
- Brain health in diverse settings: How age, demographics and cognition shape brain function.NeuroImage · 2024Article
- Executive functioning, behavior, and white matter microstructure in the chronic phase after pediatric mild traumatic brain injury: results from the adolescent brain cognitive development study.Psychological medicine · 2024Article
- Matrix metalloproteinase 9 (MMP-9) activity, hippocampal extracellular free water, and cognitive deficits are associated with each other in early phase psychosis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
- Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study.Scientific data · 2024Article
- Characterization of the extracellular free water signal in schizophrenia using multi-site diffusion MRI harmonization.Molecular psychiatry · 2023Article
- Cumulative Impact of Morphometric Features in Schizophrenia in Two Independent Samples.Schizophrenia bulletin open · 2023Article
- Cognitive deficits, clinical variables, and white matter microstructure in schizophrenia: a multisite harmonization study.Molecular psychiatry · 2022Article
- Application of a Machine Learning Algorithm for Structural Brain Images in Chronic Schizophrenia to Earlier Clinical Stages of Psychosis and Autism Spectrum Disorder: A Multiprotocol Imaging Dataset Study.Schizophrenia bulletin · 2022Article
- Improving the predictive potential of diffusion MRI in schizophrenia using normative models-Towards subject-level classification.Human brain mapping · 2021Article
- Genetic polymorphism and neuroanatomical changes in schizophrenia.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologieReview
Corrections and comments
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Authors and funding
29 authors at 16 institutions in 7 countries.
Funding
Abstract
Diffusion MRI studies consistently report group differences in white matter between individuals diagnosed with schizophrenia and healthy controls. Nevertheless, the abnormalities found at the group-level are often not observed at the individual level. Among the different approaches aiming to study white matter abnormalities at the subject level, normative modeling analysis takes a step towards subject-level predictions by identifying affected brain locations in individual subjects based on extreme deviations from a normative range. Here, we leveraged a large harmonized diffusion MRI dataset from 512 healthy controls and 601 individuals diagnosed with schizophrenia, to study whether normative modeling can improve subject-level predictions from a binary classifier. To this aim, individual deviations from a normative model of standard (fractional anisotropy) and advanced (free-water) dMRI measures, were calculated by means of age and sex-adjusted z-scores relative to control data, in 18 white matter regions. Even though larger effect sizes are found when testing for group differences in z-scores than are found with raw values (p < .001), predictions based on summary z-score measures achieved low predictive power (AUC < 0.63). Instead, we find that combining information from the different white matter tracts, while using multiple imaging measures simultaneously, improves prediction performance (the best predictor achieved AUC = 0.726). Our findings suggest that extreme deviations from a normative model are not optimal features for prediction. However, including the complete distribution of deviations across multiple imaging measures improves prediction, and could aid in subject-level classification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.