Stress and decision making: effects on valuation, learning, and risk-taking

https://doi.org/10.1016/j.cobeha.2016.11.015Get rights and content

Highlights

  • Acute stress can impair valuation of reward information critical to decision making.

  • Acute stress influences a shift from goal-directed to habit-based decision making.

  • Effects of acute stress on risk-taking are mixed but promising for future studies.

A wide range of stressful experiences can influence human decision making in complex ways beyond the simple predictions of a fight-or-flight model. Recent advances may provide insight into this complicated interaction, potentially in directions that could result in translational applications. Early research suggests that stress exposure influences basic neural circuits involved in reward processing and learning, while also biasing decisions toward habit and modulating our propensity to engage in risk-taking. That said, a substantial array of theoretical and methodological considerations in research on the topic challenge strong cross study comparisons necessary for the field to move forward. In this review we examine the multifaceted stress construct in the context of human decision making, emphasizing stress’ effect on valuation, learning, and risk-taking.

Section snippets

The stress construct

Stress has classically been defined as ‘the non-specific response of the body to any demand for change’, an adaptive homeostatic function [3]. It is associated with parallel activation of two biological systems: the quick-acting sympathetic-adrenal-medullary (SAM) axis, and the slow-acting hypothalamic-pituitary-adrenal (HPA) axis [4]. Sympathetic nervous system reactivity and associated catecholamine (e.g., nor/adrenaline) release promote peripheral excitation that quickly returns to baseline

Stress and valuation: reward-related processing

A central axiom of DM research rests on the principle that people act to approach rewards and avoid punishments in their environment [17]. Thus, valuation of the appetitive/aversive nature of anticipated (or received) decision outcomes is a likely candidate for stress’ modulation. Indeed, stress-altered sensitivity to rewarding/punishing outcomes (e.g., primary, food; secondary, money) appears to play a role in development of some pathologies including binge eating [18], pathological gambling [

Stress and learning: the role of habit

A logical next question relates to how stress might influence expression of previously learned outcomes. Research across disciplines supports the idea that DM processes can be placed on a spectrum ranging from (I) habitual, stimulus-bound, automatic, and less effortful, to (II) goal-directed, flexible, controlled, more effortful and resource-dependent [39, 40, 41, 42]. As learning proceeds over time to establish strong and ingrained prior expectations informing DM, might stress exposure bias

Stress and risk-taking

Another prominent emphasis in stress-DM investigations is risk-taking, a critical issue given its prevalence in stressful real-life contexts including medicine [55], psychopathology [56], and financial investing [57]. Decision-makers’ likelihood to engage in risk varies greatly based on multiple decision-inherent features including uncertainty (i.e., degree of information informing outcome predictability [58]), framing of a decision (as a potential gain or loss [59]), and valuations of outcome

Future directions

Despite some lack of internal consistency given a wide range of between-study methodological differences, the human stress and DM literature has made great advances over the last few years. For instance, there are consistent observations indicating that stress exposure reduces reward valuation upon receipt of an outcome yet questions remain at anticipation due to differences in stress-to-task latency. A growing consensus supports a propensity to shift toward habit-based from goal-directed

Conflict of interest statement

Nothing declared.

References and recommended reading

Papers of particular interest, published within the period of review, have been highlighted as:

  • • of special interest

  • •• of outstanding interest

Acknowledgements

AJP was supported by funding from the Scientific Research Network for Decision Neuroscience and Aging (subaward under NIH Grant AG039350). MRD was supported by funding from the National Institute on Drug Abuse (DA027764).

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