TY - JOUR
T1 - Context and trade-offs characterize real-world threat detection systems
T2 - A review and comprehensive framework to improve research practice and resolve the translational crisis
AU - Fendt, Markus
AU - Parsons, Michael H.
AU - Apfelbach, Raimund
AU - Carthey, Alexandra J.R.
AU - Dickman, Chris R.
AU - Endres, Thomas
AU - Frank, Anke S.K.
AU - Heinz, Daniel E.
AU - Jones, Menna E.
AU - Kiyokawa, Yasushi
AU - Kreutzmann, Judith C.
AU - Roelofs, Karin
AU - Schneider, Miriam
AU - Sulger, Julia
AU - Wotjak, Carsten T.
AU - Blumstein, Daniel T.
N1 - Funding Information:
This review emerged from a workshop “Avoiding danger and searching for safety: From predator-prey interactions in the field to anxiety disorders in humans” at the Otto-von-Guericke University Magdeburg, Germany, that was supported by the State of Saxony-Anhalt & European Regional Development Fund (Center of Behavioral Brain Sciences; FKZ: ZS/2016/04/78113 ), the German Science Foundation (SFB779, FE483/8-1) and the Zwillenberg-Tietz foundation . DTB is supported by the Australian Research Council and the U.S. National Science Foundation . KR is supported by a VICI grant (#453-12-001) from the Netherlands Organization for Scientific Research (NWO) and a consolidator grant from the European Research Council (ERC_CoG-2017_772337). MJ is supported by the Australian Research Council and the U.S. National Institute of Health. DEH was supported by BMBF and Max Planck Society . We thank Floris Klumpers and three anonymous reviewers for valuable and constructive feedback.
Funding Information:
This review emerged from a workshop ?Avoiding danger and searching for safety: From predator-prey interactions in the field to anxiety disorders in humans? at the Otto-von-Guericke University Magdeburg, Germany, that was supported by the State of Saxony-Anhalt & European Regional Development Fund (Center of Behavioral Brain Sciences; FKZ: ZS/2016/04/78113), the German Science Foundation (SFB779, FE483/8-1) and the Zwillenberg-Tietz foundation. DTB is supported by the Australian Research Council and the U.S. National Science Foundation. KR is supported by a VICI grant (#453-12-001) from the Netherlands Organization for Scientific Research (NWO) and a consolidator grant from the European Research Council (ERC_CoG-2017_772337). MJ is supported by the Australian Research Council and the U.S. National Institute of Health. DEH was supported by BMBF and Max Planck Society. We thank Floris Klumpers and three anonymous reviewers for valuable and constructive feedback.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/8
Y1 - 2020/8
N2 - 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.
AB - 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.
KW - Animal models
KW - Anxiety
KW - Bench-to-bedside gap
KW - Fear
KW - Predator-prey models
KW - Translational neuroscience
UR - http://www.scopus.com/inward/record.url?scp=85085610480&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85085610480&partnerID=8YFLogxK
U2 - 10.1016/j.neubiorev.2020.05.002
DO - 10.1016/j.neubiorev.2020.05.002
M3 - Review article
C2 - 32439371
AN - SCOPUS:85085610480
SN - 0149-7634
VL - 115
SP - 25
EP - 33
JO - Neuroscience and Biobehavioral Reviews
JF - Neuroscience and Biobehavioral Reviews
ER -