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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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