TY - JOUR
T1 - Modeling risky decision-making in nonhuman animals
T2 - shared core features
AU - Heilbronner, Sarah R.
N1 - Funding Information:
This work was supported by the National Institutes of Health (F32MH103931).
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/8/1
Y1 - 2017/8/1
N2 - Understanding the neural mechanisms of risky decision-making is critical to developing appropriate treatments for psychiatric disorders, problem gambling, and addiction to drugs of abuse. Probing neurobiological mechanisms requires the use of nonhuman animal models (particularly rhesus macaques, rats, and mice). However, there is considerable variation across species in risk preferences. Nevertheless, there are shared core features of risky decision-making present across species. As demonstrated with a wide variety of behavioral paradigms, modulators of risk preference observed in humans are readily replicated in model species. Thus, risky decision-making represents an important implementation of reward-guided decision-making that is feasibly modeled across species.
AB - Understanding the neural mechanisms of risky decision-making is critical to developing appropriate treatments for psychiatric disorders, problem gambling, and addiction to drugs of abuse. Probing neurobiological mechanisms requires the use of nonhuman animal models (particularly rhesus macaques, rats, and mice). However, there is considerable variation across species in risk preferences. Nevertheless, there are shared core features of risky decision-making present across species. As demonstrated with a wide variety of behavioral paradigms, modulators of risk preference observed in humans are readily replicated in model species. Thus, risky decision-making represents an important implementation of reward-guided decision-making that is feasibly modeled across species.
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U2 - 10.1016/j.cobeha.2017.03.001
DO - 10.1016/j.cobeha.2017.03.001
M3 - Review article
C2 - 28523287
AN - SCOPUS:85016154228
SN - 2352-1546
VL - 16
SP - 23
EP - 29
JO - Current Opinion in Behavioral Sciences
JF - Current Opinion in Behavioral Sciences
ER -