Mental Health Research Topics

Mind the gap: quantifying individual-population gap in depressive symptom dynamics through energy landscapes

The paper introduces mindGAP, a framework to quantify individual-population gaps in depressive symptom dynamics using longitudinal data, finding divergence in symptom organization associated with depression severity and traits.

DynoSys 2.0: Graph-Based Modeling of Dynamic Risk States and System Transitions in Human Behaviours Development

DynoSys 2.0 models dynamic behavioral risk states using graph-based temporal modeling with longitudinal data from the ABCD Study, showing better prediction for externalizing behaviors and substance use initiation.

Dynamic emotional updating as a computational marker of well-being

This study identifies mood variability and responsiveness to recent events as markers of well-being using computational modeling and a mood modulation task.

Neuroanatomical signatures of depression and anxiety in at-risk adolescents: A symptom-oriented perspective

This study identifies shared and unique central symptoms of depression and anxiety in at-risk adolescents and links them to specific brain regions using psychological network models.

Transdiagnostic symptomatology amidst real-world environmental uncertainty: a cross-sectional and cross-lagged panel network analysis

The paper examines how real-world environmental uncertainty interacts with intolerance of uncertainty to influence anxiety and depression symptoms over time.

Psychometric archetypes reveal biological signatures of vulnerability, resilience, and future mental health

The paper identifies psychometric archetypes in young adults that correlate with biological markers of mental health vulnerability and resilience, improving predictive models for clinical outcomes.

Temporal Generative Models for Learning Heterogeneous Group Dynamics of Ecological Momentary Data

This paper introduces HDRBM, a temporal generative model that learns heterogeneous group dynamics from ecological momentary assessment data, improving accuracy and interpretability with covariates.

Criterion Validity and Relationships between Alternative Hierarchical Dimensional Models of General and Specific Psychopathology

The paper evaluates bifactor and second-order models of psychopathology using ABCD Study data, finding both models have adequate psychometric properties but bifactor models offer clearer interpretation of associations with external variables.

Exploring the Links between Specific Depression Symptoms and Brain Structure: A Network Study

This study models a network of depression symptoms and brain structures to explore their associations and clarify biological and symptomatic heterogeneity in depression.

Sensitivity and robustness of comorbidity network analysis

This study evaluates the robustness and sensitivity of comorbidity network analysis techniques across different data sources and link determination methods.

Highly Predictive Transdiagnostic Features Shared across Schizophrenia, Bipolar Disorder, and ADHD Identified Using a Machine Learning Based Approach

The paper identifies transdiagnostic features shared across schizophrenia, bipolar disorder, and ADHD using machine learning on self-reported data, showing high predictive power for distinguishing patients from controls.