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      Strong interactions between learned helplessness and risky decision-making in a rat gambling model

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          Abstract

          Risky decision-making is characteristic of depression and of addictive disorders, including pathological gambling. However it is not clear whether a propensity to risky choices predisposes to depressive symptoms or whether the converse is the case. Here we tested the hypothesis that rats showing risky decision-making in a rat gambling task (rGT) would be more prone to depressive-like behaviour in the learned helplessness (LH) model. Results showed that baseline rGT choice behaviour did not predict escape deficits in the LH protocol. In contrast, exposure to the LH protocol resulted in a significant increase in risky rGT choices on retest. Unexpectedly, control rats subjected only to escapable stress in the LH protocol showed a subsequent decrease in riskier rGT choices. Further analyses indicated that the LH protocol affected primarily rats with high baseline levels of risky choices and that among these it had opposite effects in rats exposed to LH-inducing stress compared to rats exposed only to the escape trials. Together these findings suggest that while baseline risky decision making may not predict LH behaviour it interacts strongly with LH conditions in modulating subsequent decision-making behaviour. The suggested possibility that stress controllability may be a key factor should be further investigated.

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          Chronic stress causes frontostriatal reorganization and affects decision-making.

          The ability to shift between different behavioral strategies is necessary for appropriate decision-making. Here, we show that chronic stress biases decision-making strategies, affecting the ability of stressed animals to perform actions on the basis of their consequences. Using two different operant tasks, we revealed that, in making choices, rats subjected to chronic stress became insensitive to changes in outcome value and resistant to changes in action-outcome contingency. Furthermore, chronic stress caused opposing structural changes in the associative and sensorimotor corticostriatal circuits underlying these different behavioral strategies, with atrophy of medial prefrontal cortex and the associative striatum and hypertrophy of the sensorimotor striatum. These data suggest that the relative advantage of circuits coursing through sensorimotor striatum observed after chronic stress leads to a bias in behavioral strategies toward habit.
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            The neural basis of financial risk taking.

            Investors systematically deviate from rationality when making financial decisions, yet the mechanisms responsible for these deviations have not been identified. Using event-related fMRI, we examined whether anticipatory neural activity would predict optimal and suboptimal choices in a financial decision-making task. We characterized two types of deviations from the optimal investment strategy of a rational risk-neutral agent as risk-seeking mistakes and risk-aversion mistakes. Nucleus accumbens activation preceded risky choices as well as risk-seeking mistakes, while anterior insula activation preceded riskless choices as well as risk-aversion mistakes. These findings suggest that distinct neural circuits linked to anticipatory affect promote different types of financial choices and indicate that excessive activation of these circuits may lead to investing mistakes. Thus, consideration of anticipatory neural mechanisms may add predictive power to the rational actor model of economic decision making.
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              Functional magnetic resonance imaging of reward prediction.

              Technical and conceptual advances in functional magnetic resonance imaging now allow visualization of real-time changes in oxygenation of deep subcortical regions, leading to rapid advances in scientific characterization of the neural substrates that underlie reward prediction in humans. Neuroimaging research over the past year has focused on determining the necessary neural substrates for reward prediction. While the orbitofrontal cortex has long been implicated in modality-specific reward representation, the ventral striatum (particularly the nucleus accumbens) may play a role in modality-independent representations of predicted reward. On the other hand, the mesial prefrontal cortex appears to play a role in representing reward prediction error and the dorsal caudate in linking reward to behavior. Theoretically, future studies will need to establish the specificity of these responses to reward versus punishment and anticipation versus outcome. Clinically, current findings suggest that patients can predict reward without a prefrontal cortex, but should experience difficulty correcting their behavior when reward predictions are violated.
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                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                18 November 2016
                2016
                : 6
                : 37304
                Affiliations
                [1 ]Department of Psychiatry, University of Toronto , Toronto, ON, Canada
                [2 ]Departments of Psychology and Pharmacology & Toxicology, University of Toronto , Toronto, ON, Canada
                [3 ]Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health , Toronto, ON, Canada
                [4 ]Institute of Medical Science, University of Toronto , Toronto, ON, Canada
                Author notes
                [*]

                These authors contributed equally to this work.

                Article
                srep37304
                10.1038/srep37304
                5114549
                27857171
                ac2c7445-9026-4230-b300-ffb364d5ad0c
                Copyright © 2016, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 16 May 2016
                : 27 October 2016
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