The normative modeling framework for computational psychiatry
Normative modeling is an emerging and innovative framework for mapping individual
differences at the level of a single subject or observation in relation to a reference model. It …
differences at the level of a single subject or observation in relation to a reference model. It …
[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
Evidence for embracing normative modeling
In this work, we expand the normative model repository introduced in Rutherford et al.,
2022a to include normative models charting lifespan trajectories of structural surface area …
2022a to include normative models charting lifespan trajectories of structural surface area …
Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses
Site differences, or systematic differences in feature distributions across multiple data-
acquisition sites, are a known source of heterogeneity that may adversely affect large-scale …
acquisition sites, are a known source of heterogeneity that may adversely affect large-scale …
Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression
Clinical neuroimaging data availability has grown substantially in the last decade, providing
the potential for studying heterogeneity in clinical cohorts on a previously unprecedented …
the potential for studying heterogeneity in clinical cohorts on a previously unprecedented …
Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders
The substantial individual heterogeneity that characterizes people with mental illness is
often ignored by classical case–control research, which relies on group mean comparisons …
often ignored by classical case–control research, which relies on group mean comparisons …
A meta‐analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the …
Schizophrenia is associated with widespread alterations in subcortical brain structure. While
analytic methods have enabled more detailed morphometric characterization, findings are …
analytic methods have enabled more detailed morphometric characterization, findings are …
Cellular correlates of cortical thinning throughout the lifespan
Cortical thinning occurs throughout the entire life and extends to late-life neurodegeneration,
yet the neurobiological substrates are poorly understood. Here, we used a virtual-histology …
yet the neurobiological substrates are poorly understood. Here, we used a virtual-histology …
[HTML][HTML] Warped Bayesian linear regression for normative modelling of big data
Normative modelling is becoming more popular in neuroimaging due to its ability to make
predictions of deviation from a normal trajectory at the level of individual participants. It …
predictions of deviation from a normal trajectory at the level of individual participants. It …
Transdiagnostic dimensions of psychopathology explain individuals' unique deviations from normative neurodevelopment in brain structure
Psychopathology is rooted in neurodevelopment. However, clinical and biological
heterogeneity, together with a focus on case-control approaches, have made it difficult to link …
heterogeneity, together with a focus on case-control approaches, have made it difficult to link …