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Predictors of emergent depression included stress, coping, and social strain
Longitudinal predictive modeling identifies psychosocial and demographic risk factors for emergent major depressive disorder using machine learning explainability methods.
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Dysfunctional metacognitive beliefs may contribute to interpersonal distress
Longitudinal study shows dysfunctional metacognitive beliefs predict interpersonal distress trajectories independent of parental bonds, interpersonal style, depression and anxiety, suggesting new.
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Stress-induced alcohol-seeking differed by sex and symptom type
Sex-dependent mechanisms linking anxiety and depression to stress-induced alcohol-seeking, including subjective responses and neural connectivity differences between men and women.
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BrainADNet improves depression diagnosis across episode stages
Graph neural networks with augmented brain signals improve MDD diagnosis through gender-specific and stage-wise analysis, enabling personalized therapeutic strategies.
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Higher PCS-MDD linked to greater stress-related emotional variability
Longitudinal study examining how neural vulnerability markers predict stress-related emotional variability in adolescents using polyconnectomic depression risk scoring.
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Reasoning-based LLMs may predict antidepressant response
Study evaluates reasoning-based large language models for predicting 12-week remission in depressive disorder patients undergoing antidepressant monotherapy.
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The implications of the COVID-19 pandemic for clinical mental health care
Commission-led examination of COVID-19 pandemic effects on clinical mental health service delivery, evidence gaps, and vulnerable population impacts, with research priorities.
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Baseline severity, prior care, and attendance linked to CBT symptom change
Observational primary-care CBT analysis: higher baseline severity linked to greater absolute symptom reduction; total session count, not attendance rate, predicts outcomes; waiting time showed no.
