Pathological dissociation is a severe, debilitating and transdiagnostic psychiatric symptom.
This review identifies biomarkers of pathological dissociation in a transdiagnostic manner to …

Pattern classification and stratification approaches have increasingly been used in research
on Autism Spectrum Disorder (ASD) over the last ten years with the goal of translation …

BackgroundThe present paper presents a fundamentally novel approach to model individual
differences of persons with the same biologically heterogeneous mental disorder. Unlike …

Abstract Human personality is 30–60% heritable according to twin and adoption studies.
Hundreds of genetic variants are expected to influence its complex development, but few …

Clinical neuroimaging data availability has grown substantially in the last decade, providing
the potential for studying heterogeneity in clinical cohorts on a previously unprecedented …

Cluster analyzes have been widely used in mental health research to decompose inter-
individual heterogeneity by identifying more homogeneous subgroups of individuals …

To tackle the phenotypic heterogeneity of schizophrenia, data-driven methods are often
applied to identify subtypes of its symptoms and cognitive deficits. However, a systematic …

Abstract Machine learning methods hold promise for personalized care in psychiatry,
demonstrating the potential to tailor treatment decisions and stratify patients into clinically …

Dementia is a highly heterogeneous condition, with pronounced individual differences in
age of onset, clinical presentation, progression rates and neuropathological hallmarks, even …

Background Autism spectrum disorder (“autism”) is a highly heterogeneous
neurodevelopmental condition with few effective treatments for core and associated …