2017
DOI: 10.1080/17470919.2017.1370010
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Why we stay with our social partners: Neural mechanisms of stay/leave decision-making

Abstract: How do we decide to keep interacting (e.g., stay) with a social partner or to switch (e.g., leave) to another? This paper investigated the neural mechanisms of stay/leave decision-making. We hypothesized that these decisions fit within a framework of value-based decision-making, and explored four potential mechanisms underlying a hypothesized bias to stay. Twenty-six participants underwent functional Magnetic Resonance Imaging (fMRI) while completing social and nonsocial versions of a stay/leave decision-makin… Show more

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Cited by 5 publications
(6 citation statements)
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“…Given the role of vmPFC in representing decision-related value signals, this suggests that vmPFC combines information about reward value and generosity when making a partner choice decision. Indeed, similar vmPFC activation was found in other work comparing social vs. non-social partner choice (Heijne, Rossi, & Sanfey, 2017). Here, participants chose one of four possible partners or slot machines that varied in expected value provided on each trial.…”
Section: Neural Correlates Of Partner Choicesupporting
confidence: 54%
“…Given the role of vmPFC in representing decision-related value signals, this suggests that vmPFC combines information about reward value and generosity when making a partner choice decision. Indeed, similar vmPFC activation was found in other work comparing social vs. non-social partner choice (Heijne, Rossi, & Sanfey, 2017). Here, participants chose one of four possible partners or slot machines that varied in expected value provided on each trial.…”
Section: Neural Correlates Of Partner Choicesupporting
confidence: 54%
“…The hypothalamus has also been shown to mediate the decision to keep interacting with a social partner or to switch to another [ 64 ]. Participants’ social stay decisions, which were apparently biased by rewards determined by the intentional generosity of social partners, as compared with non-prosocial decisions, where rewards were determined by an unintentional algorithmic process, were associated with activity of the septo-hypothalamic area along with the ventromedial prefrontal cortex and caudate nucleus.…”
Section: Resultsmentioning
confidence: 99%
“…Overall, the suggested brain networks in Table 1 include neural networks such as love, marital satisfaction, and positive illusion that are clearly related to marital behaviors and have a strong background in the marriage literature. Other suggested networks include networks such as goal-directed behavior networks and decision-making networks that were paid less attention to in the marriage studies, but some evidence suggests that they are related to marital behaviors (e.g., Ortigue et al, 2010;Heijne et al, 2018), and the results of the field section of the current study highlighted the need of paying attention to these networks. For example, making the proper staying/leaving decisions in a specific marital relationship requires the utilizing of different brain decision-making systems (Heijne et al, 2018) to consider different aspects of this critical decision (e.g., economic and moral aspects).…”
Section: Some Example Of Functions Related To Positive Marital Behaviorsmentioning
confidence: 91%
“…and benefit signals from amygdala and NAcc, respectively, are compared in vmPFC Stay/leave decision-making: (e.g., d, h, i, l, n, o) vmPFC, caudate nucleus, and septo-hypothalamic regions, striatum(Heijne et al, 2018) …”
mentioning
confidence: 99%