Differential Valuation and Learning From Social and Nonsocial Cues in Borderline Personality Disorder

Volatile interpersonal relationships are a core feature of borderline personality disorder (BPD) and lead to devastating disruption of patients’ personal and professional lives. Quantitative models of social decision making and learning hold promise for defining the underlying mechanisms of this pro...

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Vydané v:	Biological psychiatry (1969) Ročník 84; číslo 11; s. 838 - 845
Hlavní autori:	Fineberg, Sarah K., Leavitt, Jacob, Stahl, Dylan S., Kronemer, Sharif, Landry, Christopher D., Alexander-Bloch, Aaron, Hunt, Laurence T., Corlett, Philip R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 01.12.2018 Elsevier
Predmet:	Associative learning Borderline personality disorder Computational psychiatry Prediction error Social cognition Trust Associative learning Computational psychiatry Trust Borderline personality disorder Prediction error Social cognition
ISSN:	0006-3223, 1873-2402, 1873-2402
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Shrnutí:	Volatile interpersonal relationships are a core feature of borderline personality disorder (BPD) and lead to devastating disruption of patients’ personal and professional lives. Quantitative models of social decision making and learning hold promise for defining the underlying mechanisms of this problem. In this study, we tested BPD and control subject weighting of social versus nonsocial information and their learning about choices under stable and volatile conditions. We compared behavior using quantitative models. Subjects (n = 20 BPD, n = 23 control subjects) played an extended reward learning task with a partner (confederate) that requires learning about nonsocial and social cue reward probability (the social valuation task). Task experience was measured using language metrics: explicit emotions/beliefs, talk about the confederate, and implicit distress (using the previously established marker self-referentiality). Subjects’ weighting of social and nonsocial cues was tested in mixed-effect regression models. Subjects’ learning rates under stable and volatile conditions were modeled (Rescorla–Wagner approach) and group × condition interactions tested. Compared to control subjects, BPD subject debriefings included more mentions of the confederate and less distress language. BPD subjects also weighted social cues more heavily but had blunted learning responses to (nonsocial and social) volatility. This is the first report of patient behavior in the social valuation task. The results suggest that BPD subjects expect higher volatility than control subjects. These findings lay the groundwork for a neurocomputational dissection of social and nonsocial belief updating in BPD, which holds promise for the development of novel clinical interventions that more directly target pathophysiology.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0006-3223 1873-2402 1873-2402
DOI:	10.1016/j.biopsych.2018.05.020