4.6 Article

The Role of the Posterior Temporal and Medial Prefrontal Cortices in Mediating Learning from Romantic Interest and Rejection

Journal

CEREBRAL CORTEX
Volume 24, Issue 9, Pages 2502-2511

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bht102

Keywords

posterior superior temporal sulcus; rostromedial prefrontal cortex; social cognition; speed-dating; ventromedial prefrontal cortex

Categories

Funding

  1. Irish Research Council on Science, Engineering, and Technology Fellowship
  2. Wellcome Trust project grant [WT087388AIA]
  3. Gordon and Betty Moore Foundation
  4. Div Of Biological Infrastructure
  5. Direct For Biological Sciences [0922982] Funding Source: National Science Foundation

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Romantic interest or rejection can be powerful incentives not merely for their emotional impact, but for their potential to transform, in a single interaction, what we think we know about another person-or ourselves. Little is known, though, about how the brain computes expectations for, and learns from, real-world romantic signals. In a novel speed-dating paradigm, we had participants meet potential romantic partners in a series of 5-min dates, and decide whether they would be interested in seeing each partner again. Afterward, participants were scanned with functional magnetic resonance imaging while they were told, for the first time, whether that partner was interested in them or rejected them. Expressions of interest and rejection activated regions previously associated with mentalizing, including the posterior superior temporal sulcus (pSTS) and rostromedial prefrontal cortex (RMPFC); while pSTS responded to differences from the participant's own decision, RMPFC responded to prediction errors from a nreinforcement-learning model of personal desirability. Responses in affective regions were also highly sensitive to participants' expectations. Far from being inscrutable, then, responses to romantic expressions seem to involve a quantitative learning process, rooted in distinct sources of expectations, and encoded in neural networks that process both affective value and social beliefs.

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