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Context and trade-offs characterize real-world threat detection systems: A review and comprehensive framework to improve research practice and resolve the translational crisis
Citation
Fendt, M and Parsons, MH and Apfelbach, R and Carthey, AJR and Dickman, CR and Endres, T and Frank, ASK and Heinz, DE and Jones, ME and Kiyokawa, Y and Kreutzmann, JC and Roelofs, K and Schneider, M and Sulger, J and Wotjak, CT and Blumstein, DT, Context and trade-offs characterize real-world threat detection systems: A review and comprehensive framework to improve research practice and resolve the translational crisis, Neuroscience and Biobehavioral Reviews, 115 pp. 25-33. ISSN 0149-7634 (2020) [Refereed Article]
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DOI: doi:10.1016/j.neubiorev.2020.05.002
Abstract
A better understanding of context in decision-making—that is, the internal and external conditions that modulate decisions—is required to help bridge the gap between natural behaviors that evolved by natural selection and more arbitrary laboratory models of anxiety and fear. Because anxiety and fear are mechanisms evolved to manage threats from predators and other exigencies, the large behavioral, ecological and evolutionary literature on predation risk is useful for re-framing experimental research on human anxiety-related disorders. We review the trade-offs that are commonly made during antipredator decision-making in wild animals along with the context under which the behavior is performed and measured, and highlight their relevance for focused laboratory models of fear and anxiety. We then develop an integrative mechanistic model of decision-making under risk which, when applied to laboratory and field settings, should improve studies of the biological basis of normal and pathological anxiety and may therefore improve translational outcomes.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | predator-prey, predation risk, fear, anxiety, animal models, bench-to-bedside gap, predator-prey models, translational neuroscience |
| Research Division: | Biological Sciences |
| Research Group: | Ecology |
| Research Field: | Behavioural ecology |
| Objective Division: | Environmental Management |
| Objective Group: | Terrestrial systems and management |
| Objective Field: | Terrestrial biodiversity |
| UTAS Author: | Frank, ASK (Dr Anke Frank) |
| UTAS Author: | Jones, ME (Professor Menna Jones) |
| ID Code: | 142314 |
| Year Published: | 2020 |
| Web of Science® Times Cited: | 7 |
| Deposited By: | Zoology |
| Deposited On: | 2021-01-07 |
| Last Modified: | 2021-03-03 |
| Downloads: | 0 |
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