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] Conceptualizing mental disorders as deviations from normative functioning
Normative models are a class of emerging statistical techniques useful for understanding the
heterogeneous biology underlying psychiatric disorders at the level of the individual …
heterogeneous biology underlying psychiatric disorders at the level of the individual …
Identification of shared and differentiating genetic architecture for autism spectrum disorder, attention-deficit hyperactivity disorder and case subgroups
Attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are
highly heritable neurodevelopmental conditions, with considerable overlap in their genetic …
highly heritable neurodevelopmental conditions, with considerable overlap in their genetic …
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 …
Charting brain growth and aging at high spatial precision
Defining reference models for population variation, and the ability to study individual
deviations is essential for understanding inter-individual variability and its relation to the …
deviations is essential for understanding inter-individual variability and its relation to the …
Development of ADHD: Etiology, heterogeneity, and early life course
Attention-deficit/hyperactivity disorder (ADHD) represents a powerful entry point for
developmental approaches to psychopathology due to its substantial role in early …
developmental approaches to psychopathology due to its substantial role in early …
Resolving heterogeneity in schizophrenia through a novel systems approach to brain structure: individualized structural covariance network analysis
Reliable mapping of system-level individual differences is a critical first step toward
precision medicine for complex disorders such as schizophrenia. Disrupted structural …
precision medicine for complex disorders such as schizophrenia. Disrupted structural …
[HTML][HTML] Systematic review and meta-analysis: resting-state functional magnetic resonance imaging studies of attention-deficit/hyperactivity disorder
Objective We conducted a meta-analysis of resting state functional magnetic resonance
imaging (R-fMRI) studies in children/adolescents and adults with ADHD to assess spatial …
imaging (R-fMRI) studies in children/adolescents and adults with ADHD to assess spatial …
Advances in the computational understanding of mental illness
Computational psychiatry is a rapidly growing field attempting to translate advances in
computational neuroscience and machine learning into improved outcomes for patients …
computational neuroscience and machine learning into improved outcomes for patients …
Biomarkers of pathological dissociation: a systematic review
MI Roydeva, AATS Reinders - Neuroscience & Biobehavioral Reviews, 2021 - Elsevier
Pathological dissociation is a severe, debilitating and transdiagnostic psychiatric symptom.
This review identifies biomarkers of pathological dissociation in a transdiagnostic manner to …
This review identifies biomarkers of pathological dissociation in a transdiagnostic manner to …