A Computational Account of Borderline Personality Disorder: Impaired Predictive Learning About Self and Others Through Bodily Simulation

In this episode, Dr. Jud Brewer, Dr. Sarah Fineberg, and Dr. Philip Corlett explore an innovative computational psychiatry model of borderline personality disorder (BPD). Social dysfunction is a core feature of BPD, and this study proposes that individuals with BPD struggle with predictive learning about self and others due to deficits in embodied simulation—using one's own bodily experiences to infer the mental states of others. The discussion covers how computational models can help explain emotional dysregulation, attachment disruptions, and the instability of interpersonal relationships in BPD, offering new insights into treatment approaches. Tune in to discover how neuroscience, machine learning, and psychiatry intersect to deepen our understanding of personality disorders.

Full Reference:
Fineberg, S. K., Steinfeld, M., Brewer, J. A., & Corlett, P. R. (2014). A computational account of borderline personality disorder: Impaired predictive learning about self and others through bodily simulation. Frontiers in Psychiatry, 5, 111. https://doi.org/10.3389/fpsyt.2014.00111

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