Back to search

Article

Biotypes of deeply phenotyped depressed patients reflect signatures of adverse childhood experience and depressive cognitive biases

2025-07-03

Abstract excerpt

<h4>Background</h4> Negative Cognitive Styles (NCS) are key features of depression contributing to severe clinical outcomes by sustaining negative affect. However, depression is clinically heterogeneous, reflecting complex neurobiological and environmental interactions. Characterizing heterogeneity using multimodal data could help identify mechanisms mapping onto different phenotypes and discover high-impact biom...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
bb62e0d7-23f7-57cf-9fa2-fc784f0a8337
DOI
10.1101/2025.07.03.25330801
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Biotypes of deeply phenotyped depressed patients reflect signatures of adverse childhood experience and depressive cognitive biasesDOI 10.1101/2025.07.03.25330801
Biotypes of deeply phenotyped depressed patients reflect signatures of adverse childhood experience and depressive cognitive biases.Semantic proximity
Mapping generalizable brain-based depression subtypes across clinical, cognitive, and neurotransmitter dimensionsSemantic proximity
Parsing clinical and neurobiological sources of heterogeneity in depressionSemantic proximity
Neurocognitive deficits, psychotrauma, and inflammation shape major depressive disorder and its phenome featuresSemantic proximity
Machine Learning Reveals a Multimodal, Transdiagnostic Signature of Emotion Dysregulation Vulnerability Across Patients, Offspring, and ControlsSemantic proximity
Classification accuracy of structural and functional connectomes across different depressive phenotypesSemantic proximity
Neurobiologically Based Stratification of Recent-Onset Depression and Psychosis: Identification of Two Distinct Transdiagnostic Phenotypes.Semantic proximity
Normative modeling of brain morphology reveals neuroanatomical heterogeneity and biological subtypes in major depressive disorderSemantic proximity
Neurocognitive deficits, psychotrauma, and inflammation shape major depressive disorder and its phenome features.Semantic proximity
Deep Phenotypic Analysis of Psychiatric Features in Genetically Defined Cohorts: Application to XYY SyndromeSemantic proximity
Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structureSemantic proximity
Localizing at-risk and early psychosis populations along data-driven clinical, cognitive, and neuroanatomical spectraSemantic proximity
Select a neighboring publication to make it the new centre.