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  • Mentalizing without a mind: Exploring the potential of the psychotherapeutic skills of generative AI

    This paper explores the integration of generative artificial intelligence (AI) into psychotherapeutic practice through the lens of mentalization theory.

    Authors: Yirmiya, K., Fonagy, P.

  • Investigating mediators of the narcissism-conspiracy link within the epistemic trust framework

    This study examined whether the narcissism–conspiracy link is accounted for by epistemic stances of mistrust and rigidity formed developmentally.

    Authors: Brauner, F., Schwarzer, N.-H., Fonagy, P., et al.

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  • Development and validation of the Revised Epistemic Trust, Mistrust and Credulity Questionnaire (ETMCQ-R)

    This study tested a revised version of the Epistemic Trust, Mistrust and Credulity Questionnaire (the ETMCQ-R).

    Authors: Campbell, C., Delamain, H., Saunders, R., et al.

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  • Assessing mentalization in practice: Reliability of the mentalization-based treatment research adherence and competence scale

    This study introduces the Mentalization-Based Treatment Research Adherence and Competence Scale (MBT-RACS).

    Authors: Yirmiya, K., Marjoribanks, S., Fonagy, P., et al.

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  • Effect of a needs-based model of care on the characteristics of healthcare services in England: The i-THRIVE National Implementation Programme

    This study examines experiences of staff using i-THRIVE, estimates its effectiveness, and assesses how local system working relationships influence programme success.

    Authors: Sippy, R., Efstathopoulou, L., Simes, E., et al.

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  • Bridging the gap: A qualitative study exploring the impact of the involvement of researchers with lived experience on a multi-site randomised control trial in the National Probation Service in England and Wales

    This study aimed to explore the value of involving researchers with lived experience of the criminal justice system as data collectors in the Mentalization for Offending Adult Males (MOAM), a multisite RCT.

    Authors: Simes, E., Butler, S., Allison, E., et al.

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  • Identifying subgroups of individuals based on their epistemic stance, attachment dimensions and childhood trauma: A latent profile analysis

    This study examines the interplay between epistemic stance, attachment dimensions, and childhood trauma in relation to specific demographic factors and mental health outcomes.

    Authors: Delamain, H., Saunders, R., Tanzer, M., et al.

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  • Predicting criminal offence in adolescents who exhibit antisocial behaviour: A machine learning study using data from a large randomised controlled trial of multisystemic therapy

    In this study, we developed machine learning models that predict offending status with good accuracy and show interpretable machine learning analyses can complement models to inform clinical decision-making.

    Authors: Suh, J. W., Saunders, R., Simes, E., et al.

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  • Reducing self-harm in adolescents: The RISA-IPD individual patient data meta-analysis and systematic review

    In this study, we examined raw data from multiple clinical trials to find out which therapeutic treatments are most effective at preventing self-harm repetition when young people present to services having harmed themselves.

    Authors: Cottrell, D., Wright-Hughes, A., Farrin, A., et al.

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