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Trait and State-Dependent Risk Attitude of Monkeys Measured in a Single-Option Response Task

Humans and animals show diverse preferences for risks (“trait-like” risk attitude) and shift their preference depending on the state or current needs (“state-dependent” risk attitude). For a better understanding of the neural mechanisms underlying risk-sensitive decisions, useful animal models have...

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Autores principales: Fujimoto, Atsushi, Minamimoto, Takafumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692444/
https://www.ncbi.nlm.nih.gov/pubmed/31447636
http://dx.doi.org/10.3389/fnins.2019.00816
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author Fujimoto, Atsushi
Minamimoto, Takafumi
author_facet Fujimoto, Atsushi
Minamimoto, Takafumi
author_sort Fujimoto, Atsushi
collection PubMed
description Humans and animals show diverse preferences for risks (“trait-like” risk attitude) and shift their preference depending on the state or current needs (“state-dependent” risk attitude). For a better understanding of the neural mechanisms underlying risk-sensitive decisions, useful animal models have been required. Here we examined the risk attitude of three male monkeys in a single-option response task, in which an instrumental lever-release was required to obtain a chance of reward. In each trial, reward condition, either deterministic (100% of 1, 2, 3, and 4 drops of juice) or probabilistic (25, 50, 75, and 100% of 4-drop juice) was randomly selected and assigned by a unique visual cue, allowing the monkeys to evaluate the forthcoming reward. The subjective value of the reward was inferred from their performance. Model-based analysis incorporating known economic models revealed non-linear probability distortion in monkeys; unlike previous studies, they showed a simple convex or concave probability distortion curve. The direction of risk preference was consistent between early and late phases of the testing period, suggesting that our observation reflected the trait-like risk attitude of monkeys, at least under the current experimental setting. Regardless of the baseline risk preference, all monkeys showed an enhancement of risk preference in a session according to the satiation level (i.e., state-dependent risk attitude). Our results suggest that, without choice or cognitive demand, monkeys show naturalistic risk attitude – diverse and flexible like humans. Our novel approach may provide a useful animal model of risk-sensitive decisions, facilitating the investigation of the neural mechanisms of decision-making under risk.
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spelling pubmed-66924442019-08-23 Trait and State-Dependent Risk Attitude of Monkeys Measured in a Single-Option Response Task Fujimoto, Atsushi Minamimoto, Takafumi Front Neurosci Neuroscience Humans and animals show diverse preferences for risks (“trait-like” risk attitude) and shift their preference depending on the state or current needs (“state-dependent” risk attitude). For a better understanding of the neural mechanisms underlying risk-sensitive decisions, useful animal models have been required. Here we examined the risk attitude of three male monkeys in a single-option response task, in which an instrumental lever-release was required to obtain a chance of reward. In each trial, reward condition, either deterministic (100% of 1, 2, 3, and 4 drops of juice) or probabilistic (25, 50, 75, and 100% of 4-drop juice) was randomly selected and assigned by a unique visual cue, allowing the monkeys to evaluate the forthcoming reward. The subjective value of the reward was inferred from their performance. Model-based analysis incorporating known economic models revealed non-linear probability distortion in monkeys; unlike previous studies, they showed a simple convex or concave probability distortion curve. The direction of risk preference was consistent between early and late phases of the testing period, suggesting that our observation reflected the trait-like risk attitude of monkeys, at least under the current experimental setting. Regardless of the baseline risk preference, all monkeys showed an enhancement of risk preference in a session according to the satiation level (i.e., state-dependent risk attitude). Our results suggest that, without choice or cognitive demand, monkeys show naturalistic risk attitude – diverse and flexible like humans. Our novel approach may provide a useful animal model of risk-sensitive decisions, facilitating the investigation of the neural mechanisms of decision-making under risk. Frontiers Media S.A. 2019-08-07 /pmc/articles/PMC6692444/ /pubmed/31447636 http://dx.doi.org/10.3389/fnins.2019.00816 Text en Copyright © 2019 Fujimoto and Minamimoto. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Fujimoto, Atsushi
Minamimoto, Takafumi
Trait and State-Dependent Risk Attitude of Monkeys Measured in a Single-Option Response Task
title Trait and State-Dependent Risk Attitude of Monkeys Measured in a Single-Option Response Task
title_full Trait and State-Dependent Risk Attitude of Monkeys Measured in a Single-Option Response Task
title_fullStr Trait and State-Dependent Risk Attitude of Monkeys Measured in a Single-Option Response Task
title_full_unstemmed Trait and State-Dependent Risk Attitude of Monkeys Measured in a Single-Option Response Task
title_short Trait and State-Dependent Risk Attitude of Monkeys Measured in a Single-Option Response Task
title_sort trait and state-dependent risk attitude of monkeys measured in a single-option response task
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692444/
https://www.ncbi.nlm.nih.gov/pubmed/31447636
http://dx.doi.org/10.3389/fnins.2019.00816
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