Evidence for an antagonistic interaction between reward and punishment sensitivity on striatal activity: A verification of the Joint Subsystems Hypothesis

Mortensen, Jørgen Assar; Lehn, Hanne; Evensmoen, Hallvard Røe; Håberg, Asta

doi:10.1016/j.paid.2014.10.023

Cited by 8 publications

(9 citation statements)

References 25 publications

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“…have associated higher reward sensitivity with greater activation in brain areas involved in the mesolimbic and mesocortical pathways. Thus, a number of studies have found this association in mesolimbic areas, including the midbrain and ventral striatal regions (Beaver et al, 2006;Carter, Macinnes, Huettel, & Adcock, 2009;Costumero et al, 2016;Costumero et al, 2013aCostumero et al, , 2013bHahn et al, 2009;Mortensen, Lehn, Evensmoen, & Håberg, 2015;Simon et al, 2010), whereas others have also reported this correlation with ventromedial prefrontal regions of the mesocortical pathway (Barrós-Loscertales et al, 2010;Beaver et al, 2006;Costumero et al, 2013b;Hahn et al, 2009;Locke & Braver, 2008;Mortensen et al, 2015;Simon et al, 2010). Functional connectivity analysis revealed that BAS scores were also associated with relatively less connectivity between the VTA and vmPFC during the processing of high-incentive monetary cues (Costumero et al, 2013a).…”

Section: Introductionmentioning

confidence: 98%

Reward network connectivity “at rest” is associated with reward sensitivity in healthy adults: A resting-state fMRI study

Adrián‐Ventura

Costumero

Parcet

et al. 2019

Cogn Affect Behav Neurosci

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The behavioral approach system (BAS), based on reinforcement sensitivity theory (RST), is a neurobehavioral system responsible for detecting and promoting motivated behaviors towards appetitive stimuli. Anatomically, the frontostriatal system has been proposed as the core of the BAS, mainly the ventral tegmental area and the ventral striatum and their dopaminergic connections with medial prefrontal structures. The RST also proposes the personality trait of reward sensitivity as a measurable construct of stable individual differences in BAS activity. However, the relationship between this trait and brain connectivity Bat rest^has been poorly studied, mainly because previous investigations have focused on studying brain activity under rewardrelated contingency paradigms. Here, we analyzed the influence of reward sensitivity on the resting-state functional connectivity (rs-FC) between BAS-related areas by correlating the BOLD time series with the scores on the Sensitivity to Reward (SR) scale in a sample of 89 healthy young adults. Rs-FC between regions of interest were all significant. Results also revealed a positive association between SR scores and the rs-FC between the VTA and the ventromedial prefrontal cortex, and between the latter structure and the anterior cingulate cortex. These results suggest that reward sensitivity could be associated with different restingstate activity in the mesocortical pathway.

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Section: Introductionmentioning

confidence: 98%

Reward network connectivity “at rest” is associated with reward sensitivity in healthy adults: A resting-state fMRI study

Adrián‐Ventura

Costumero

Parcet

et al. 2019

Cogn Affect Behav Neurosci

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“…Importantly, the impetus for the present review is not to propose a biomarker of treatment motivation in individuals with chronic pain. Previous studies have provided neuroimaging evidence of questionnaires/tasks related to mesocorticolimbic function [32][33][34][35][36] , which can help clinicians feasibly probe dysfunction of this system (i.e., patients potentially at-risk for poor treatment motivation/engagement). Because the US National Pain Strategy calls for improvements in pain self-management programs 37 , the rationale for this review is to encourage research efforts establishing a mechanistic link between mesocorticolimbic dysfunction and motivation for engagement in and adherence to pain self-management strategies.…”

mentioning

confidence: 99%

Exploring the potential role of mesocorticolimbic circuitry in motivation for and adherence to chronic pain self-management interventions

Letzen

Seminowicz

Campbell

et al. 2019

Neuroscience & Biobehavioral Reviews

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Adherence to pain self-management strategies is associated with favorable psychobehavioral outcomes among individuals with chronic pain. Substantive adherence to treatments teaching these adaptive skills proves challenging, resulting in poor individual and societal outcomes. Evidence demonstrates motivation for behavior change as a key predictor of treatment adherence. Despite behavioral techniques that target motivation, however, nonadherence persists as a barrier to positive clinical outcomes in chronic pain. Understanding the neurobiological mechanisms underlying treatment motivation might highlight novel avenues for augmentative therapies. The purpose of this review is to present theory and evidence that the mesocorticolimbic system (i.e., brain circuitry associated with reward processing and motivation) contributes to treatment motivation among chronic pain patients, ultimately influencing adherence. We review evidence for motivation as a key adherence determinant, detail neuroimaging findings relating mesocorticolimbic circuitry and motivation, and discuss data supporting mesocorticolimbic dysfunction among chronic pain patients. We propose a neurobehavioral model for adherence to pain self-management interventions, listing testable hypotheses. Finally, we discuss potential research and intervention implications from the proposed model.

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“…Two tasks investigated neural activity in response to priming tasks. Mortensen et al (2015) looked at an all-female sample using a combination of the SRSPQ and neuroticism scales to target all three RST systems. They used SR for BAS, SP for the FFFS, and neuroticism for BIS.…”

Section: Resultsmentioning

confidence: 99%

“…These systems were revised and delineated over 20 years ago, based on a wealth of research that identified anxiety and fear as separate constructs (McNaughton & Gray, 2000). One study did attempt to address this by using a neuroticism scale to index BIS and the SP scale to index FFFS (Mortensen et al, 2015). However, neuroticism cannot be considered a direct measure of BIS given its 30–45° rotation away from BIS (Pickering et al, 1999).…”

Section: Discussionmentioning

confidence: 99%

“…18 STANDEN, FIRTH, SUMICH, AND HEYM structures outside the initially proposed circuitry. BAS was associated with hippocampal functioning during priming tasks and when viewing erotic pictures (Mortensen et al, 2015;Reuter et al, 2004). The hippocampus is not included in the proposed RST circuitry for the BAS (McNaughton & Gray, 2000); however, it has been implicated in reward memory in the general reward literature (Davidow et al, 2016;Lansik et al, 2009).…”

Section: Potential Additional Structures For Rst Systemsmentioning

confidence: 99%

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The neural correlates of reinforcement sensitivity theory: A systematic review of the (f)MRI literature.

Standen¹,

Firth²,

Sumich³

et al. 2022

Psychology & Neuroscience

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Objective: Reinforcement Sensitivity Theory (RST) is a theory of motivation, emotion, and learning, that has been translated into an account of personality. RST proposes neural structures that form the basis of systems responsible for reward (behavioral approach system; BAS), punishment (flight–fight–freeze system; FFFS) and conflict processing (behavioral inhibition system; BIS). This systematic review collated studies examining psychometric measures of RST alongside structural and function Magnetic Resonance Imaging (MRI) data to (a) examine how psychometric RST is associated with the proposed neural topologies of RST, (b) identify any common associations between psychometric RST and other brain regions, and (c) provide recommendations for advancing the current literature base. Method: Initial search terms identified 10,952 papers. After processing, 39 papers that investigated the association between RST scales and neural functioning in healthy adult samples were included in this review. Results: There was general support for associations between the BAS and the structure/activity of the prefrontal cortex and ventral striatum with some additional findings for the ventral pallidum and ventral tegmental area. There was also some support for associations between BIS/FFFS and structure/activity of frontal regions, cingulate cortices and the amygdala. Conclusions: Overall, psychometric correlates of RST were associated with activity in proposed neural circuitry, with the most consistent support being found for the BAS; however, psychometric and experimental limitations still hamper the differentiation of the BIS and FFFS systems in their activation of deeper brain networks. Future studies need to include revised RST scales that separate the BIS and FFFS and implement more rigorous tasks that allow for the examination of each system both independently and codependently.

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Evidence for an antagonistic interaction between reward and punishment sensitivity on striatal activity: A verification of the Joint Subsystems Hypothesis

Cited by 8 publications

References 25 publications

Reward network connectivity “at rest” is associated with reward sensitivity in healthy adults: A resting-state fMRI study

Reward network connectivity “at rest” is associated with reward sensitivity in healthy adults: A resting-state fMRI study

Exploring the potential role of mesocorticolimbic circuitry in motivation for and adherence to chronic pain self-management interventions

The neural correlates of reinforcement sensitivity theory: A systematic review of the (f)MRI literature.

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