Scott et al. (2024) propose refinements to transdiagnostic clinical staging models to improve their reliability, consistency, and clinical usefulness in youth mental health settings.
Read moreShah et al. (2020) present the first international consensus framework for applying transdiagnostic clinical staging to youth mental health.
Read morePalminteri et al. (2016) investigate how the computational mechanisms underlying reinforcement learning develop across adolescence and adulthood.
Read moreGorry et al. (2022) outline a global framework for developing integrated, youth-focused mental health services that address the unique needs of adolescents and emerging adults.
Read moreHuys, Maia and Frank (2016) examine how computational psychiatry can integrate neuroscience, psychology, and clinical data to improve the understanding and treatment of mental illness.
Read moreBurger et al. (2023) provide reporting guidelines to improve the transparency, reproducibility, and interpretation of psychological network analyses.
Read moreBorsboom and Cramer (2013) propose a network approach to psychopathology in which mental disorders arise from interactions between symptoms rather than from an underlying latent disease.
Read moreBird et al. (2019) investigate the prevalence, structure, and potential causal mechanisms of paranoid thoughts in adolescence.
Read moreShiffman, Stone and Hufford (2008) provide a comprehensive overview of Ecological Momentary Assessment (EMA) and its value for studying behaviour, emotions, and symptoms as they occur in everyday life.
Read moreLan et al. (2025) explore healthcare professionals’ views on the feasibility and acceptability of using a computerised adaptive testing tool to assess and monitor mental health difficulties in children and young people.
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