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      Acute stress alters individual risk taking in a time‐dependent manner and leads to anti‐social risk

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          Abstract

          Decision‐making processes can be modulated by stress, and the time elapsed from stress induction seems to be a crucial factor in determining the direction of the effects. Although current approaches consider the first post‐stress hour a uniform period, the dynamic pattern of activation of the physiological stress systems (i.e., the sympathetic nervous system and hypothalamic‐pituitary‐adrenal axis) suggests that its neurobehavioural impact might be heterogeneous. Here, we evaluate economic risk preferences on the gain domain (i.e., risk aversion) at three time points following exposure to psychosocial stress (immediately after, and 20 and 45 min from onset). Using lottery games, we examine decisions at both the individual and social levels. We find that risk aversion shows a time‐dependent change across the first post‐stress hour, evolving from less risk aversion shortly after stress to more risk averse behaviour at the last testing time. When risk implied an antisocial outcome to a third party, stressed individuals showed less regard for this person in their decisions. Participants’ cortisol levels explained their behaviour in the risk, but not the antisocial, game. Our findings reveal differential stress effects in self‐ and other‐regarding decision‐making and highlight the multidimensional nature of the immediate aftermath of stress for cognition.

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          Most cited references50

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          Dynamic adaptation of large-scale brain networks in response to acute stressors.

          Stress initiates an intricate response that affects diverse cognitive and affective domains, with the goal of improving survival chances in the light of changing environmental challenges. Here, we bridge animal data at cellular and systems levels with human work on brain-wide networks to propose a framework describing how stress-related neuromodulators trigger dynamic shifts in network balance, enabling an organism to comprehensively reallocate its neural resources according to cognitive demands. We argue that exposure to acute stress prompts a reallocation of resources to a salience network, promoting fear and vigilance, at the cost of an executive control network. After stress subsides, resource allocation to these two networks reverses, which normalizes emotional reactivity and enhances higher-order cognitive processes important for long-term survival. Copyright © 2014 Elsevier Ltd. All rights reserved.
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            Decision making under stress: a selective review.

            Many decisions must be made under stress, and many decision situations elicit stress responses themselves. Thus, stress and decision making are intricately connected, not only on the behavioral level, but also on the neural level, i.e., the brain regions that underlie intact decision making are regions that are sensitive to stress-induced changes. The purpose of this review is to summarize the findings from studies that investigated the impact of stress on decision making. The review includes those studies that examined decision making under stress in humans and were published between 1985 and October 2011. The reviewed studies were found using PubMed and PsycInfo searches. The review focuses on studies that have examined the influence of acutely induced laboratory stress on decision making and that measured both decision-making performance and stress responses. Additionally, some studies that investigated decision making under naturally occurring stress levels and decision-making abilities in patients who suffer from stress-related disorders are described. The results from the studies that were included in the review support the assumption that stress affects decision making. If stress confers an advantage or disadvantage in terms of outcome depends on the specific task or situation. The results also emphasize the role of mediating and moderating variables. The results are discussed with respect to underlying psychological and neural mechanisms, implications for everyday decision making and future research directions. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              The social dimension of stress reactivity: acute stress increases prosocial behavior in humans.

              Psychosocial stress precipitates a wide spectrum of diseases with major public-health significance. The fight-or-flight response is generally regarded as the prototypic human stress response, both physiologically and behaviorally. Given that having positive social interactions before being exposed to acute stress plays a preeminent role in helping individuals control their stress response, engaging in prosocial behavior in response to stress (tend-and-befriend) might also be a protective pattern. Little is known, however, about the immediate social responses following stress in humans. Here we show that participants who experienced acute social stress, induced by a standardized laboratory stressor, engaged in substantially more prosocial behavior (trust, trustworthiness, and sharing) compared with participants in a control condition, who did not experience socioevaluative threat. These effects were highly specific: Stress did not affect the readiness to exhibit antisocial behavior or to bear nonsocial risks. These results show that stress triggers social approach behavior, which operates as a potent stress-buffering strategy in humans, thereby providing evidence for the tend-and-befriend hypothesis.
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                Author and article information

                Contributors
                s.b@bluewin.ch
                lorenz.goette@unil.ch
                carmen.sandi@epfl.ch
                Journal
                Eur J Neurosci
                Eur. J. Neurosci
                10.1111/(ISSN)1460-9568
                EJN
                The European Journal of Neuroscience
                John Wiley and Sons Inc. (Hoboken )
                0953-816X
                1460-9568
                23 September 2016
                April 2017
                : 45
                : 7 ( doiID: 10.1111/ejn.2017.45.issue-7 )
                : 877-885
                Affiliations
                [ 1 ] Laboratory of Behavioral Genetics Brain Mind InstituteEcole Polytechnique Fédérale de Lausanne (EPFL) CH‐1015 LausanneSwitzerland
                [ 2 ] Department of Economics Faculty of Business and EconomicsUniversity of Lausanne (UNIL) CH‐1015 LausanneSwitzerland
                [ 3 ]Present address: Department of Economics Institute for Applied MicroeconomicsUniversity of Bonn Adenauerallee 24–42 D‐53012 BonnGermany
                Author notes
                [*] [* ] Correspondence: Carmen Sandi, as above.

                E‐mail: carmen.sandi@ 123456epfl.ch

                Samuel Bendahan, 1Laboratory of Behavioral Genetics, 2Department of Economics, as above.

                E‐mail: s.b@ 123456bluewin.ch

                Lorenz Goette, as above.

                E‐mail: lorenz.goette@ 123456unil.ch

                Author information
                http://orcid.org/0000-0001-6559-5736
                Article
                EJN13395
                10.1111/ejn.13395
                5396300
                27606489
                6714e4d1-3821-481a-8204-3bcea3a5236d
                © 2016 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 July 2016
                : 23 August 2016
                : 05 September 2016
                Page count
                Figures: 3, Tables: 2, Pages: 9, Words: 8744
                Funding
                Funded by: Swiss National Science Foundation
                Award ID: CR10I3‐146431
                Award ID: 31003AB‐135710
                Funded by: EPFL
                Funded by: UNIL
                Categories
                Behavioural Neuroscience
                BEHAVIOURAL NEUROSCIENCE
                 
                Featured Article
                Custom metadata
                2.0
                ejn13395
                April 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.0.9 mode:remove_FC converted:19.04.2017

                Neurosciences
                behavioural economics,behavioural neuroscience,decision‐making,resilience,stress
                Neurosciences
                behavioural economics, behavioural neuroscience, decision‐making, resilience, stress

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