Abstract
Purpose of Review
We review the literature on the use and potential use of computational psychiatry methods in borderline personality disorder.
Recent Findings
Computational approaches have been used in psychiatry to increase our understanding of the molecular, circuit, and behavioral basis of mental illness. This is of particular interest in BPD, where the collection of ecologically valid data, especially in interpersonal settings, is becoming more common and more often subject to quantification. Methods that test learning and memory in social contexts, collect data from real-world settings, and relate behavior to molecular and circuit networks are yielding data of particular interest.
Summary
Research in BPD should focus on collaborative efforts to design and interpret experiments with direct relevance to core BPD symptoms and potential for translation to the clinic.
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References
Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance
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Dr. Sarah Fineberg reports a NARSAD Young Investigator Grant from the Brain and Behavior Research Foundation and support from the Connecticut Mental Health Center. Dr. Philip Corlett reports grants from IMHRO/Janssen Rising Star Translational Research Award, NIMH (R01MH067073), CTSA (UL1 TR000142) from the National Center for Research Resources (NCRR) and the National Center for Advancing Translational Science (NCATS), components of the National Institutes of Health (NIH), and NIH roadmap for Medical Research, during the conduct of the study. Dylan Stahl was supported by the Richter Memorial Fund and the NSF COAST Award. The contents of this work are solely the responsibility of the authors and do not necessarily represent the official view of NIH or the CMHC/DMHAS.
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Fineberg, S.K., Stahl, D.S. & Corlett, P.R. Computational Psychiatry in Borderline Personality Disorder. Curr Behav Neurosci Rep 4, 31–40 (2017). https://doi.org/10.1007/s40473-017-0104-y
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DOI: https://doi.org/10.1007/s40473-017-0104-y