Perceived Causal Problem Networks (PECAN)
A series of video conversations with Lars Klintwall, a clinical psychologist and associate professor at the Karolinska Institute.
Read moreA series of video conversations with Lars Klintwall, a clinical psychologist and associate professor at the Karolinska Institute.
Read moreAn introduction to the use of directed acyclic graphs (DAGS) for mechanism research in mental health.
Read moreCohen et al. (2023) propose a framework for identifying and measuring the active elements of cognitive-behavioural therapies to improve understanding of how psychological treatments work.
Read moreDuggan et al. (2014) examine how adverse events and potential harms are identified and reported in clinical trials of psychological interventions.
Read moreSmith (2012) reviews the methodological quality of single-case experimental design (SCED) research and evaluates it against contemporary standards for scientific rigour.
Read moreKendler and Campbell (2009) propose an interventionist framework for understanding causality in psychiatry that moves beyond traditional debates about the relationship between mind and brain.
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 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 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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