Abstract

Acutely challenging or threatening situations frequently require approach-avoidance decisions. Acute threat triggers fast autonomic changes that prepare the body to freeze, fight or flee. However, such autonomic changes may also influence subsequent instrumental approach-avoidance decisions. Since defensive bodily states are often not considered in value-based decision-making models, it remains unclear how they influence the decision-making process. Here, we aim to bridge this gap by discussing the existing literature on the potential role of threat-induced bodily states on decision making and provide a new neurocomputational framework explaining how these effects can facilitate or bias approach-avoid decisions under threat. Theoretical accounts have stated that threat-induced parasympathetic activity is involved in information gathering and decision making. Parasympathetic dominance over sympathetic activity is particularly seen during threat-anticipatory freezing, an evolutionarily conserved response to threat demonstrated across species and characterized by immobility and bradycardia. Although this state of freezing has been linked to altered information processing and action preparation, a full theoretical treatment of the interactions with value-based decision making has not yet been achieved. Our neural framework, which we term the Threat State/Value Integration (TSI) Model, will illustrate how threat-induced bodily states may impact valuation of competing incentives at three stages of the decision-making process, namely at threat evaluation, integration of rewards and threats, and action initiation. Additionally, because altered parasympathetic activity and decision biases have been shown in anxious populations, we will end with discussing how biases in this system can lead to characteristic patterns of avoidance seen in anxiety-related disorders, motivating future pre-clinical and clinical research.

Highlights

  • Responding to a threatening situation poses a dilemma with ancient evolutionary origins: our survival may be at stake if we make a wrong decision

  • Before presenting the new model, we provide an overview of the freezing state in the brain and body in the section “The Threat-Anticipatory Freezing State,” and describe evidence that threat-induced autonomic states exert influence on approach-avoidance decisions in the section “ThreatAnticipatory Freezing Is Associated With Information Gathering and Action Preparation.”

  • In contrast to the notion that freezing may enhance the cost of switching to action, in humans, stronger freezing has been observed in situations where an action has to be taken compared to when no action can be taken (Löw et al, 2015; Gladwin et al, 2016; Wendt et al, 2017) and the magnitude of freezing responses is associated with faster reaction time (Jennings and van der Molen, 2005; del Paso et al, 2015; Hashemi et al, 2019a,b; Ribeiro and Castelo-Branco, 2019). Together these findings suggest that the switch from freeze to action involves a value-based decision process and highlights the importance of incorporating the balance between parasympathetic and sympathetic activation into decision-making models

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Summary

INTRODUCTION

Responding to a threatening situation poses a dilemma with ancient evolutionary origins: our survival may be at stake if we make a wrong decision. In contrast to the notion that freezing may enhance the cost of switching to action, in humans, stronger freezing has been observed in situations where an action has to be taken compared to when no action can be taken (Löw et al, 2015; Gladwin et al, 2016; Wendt et al, 2017) and the magnitude of freezing responses is associated with faster reaction time (Jennings and van der Molen, 2005; del Paso et al, 2015; Hashemi et al, 2019a,b; Ribeiro and Castelo-Branco, 2019) Together these findings suggest that the switch from freeze to action involves a value-based decision process and highlights the importance of incorporating the balance between parasympathetic and sympathetic activation into decision-making models. This model provides a fundamental framework of the interaction of physiological and neural systems across levels of the decision hierarchy in threatening contexts

CONCLUSION
DATA AVAILABILITY STATEMENT
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