• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

纹状体γ-氨基丁酸水平与金钱损失中的风险敏感性相关。

Striatal GABA levels correlate with risk sensitivity in monetary loss.

作者信息

Kondo Hirohito M, Oba Takeyuki, Ezaki Takahiro, Kochiyama Takanori, Shimada Yasuhiro, Ohira Hideki

机构信息

School of Psychology, Chukyo University, Nagoya, Aichi, Japan.

Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan.

出版信息

Front Neurosci. 2024 Jul 31;18:1439656. doi: 10.3389/fnins.2024.1439656. eCollection 2024.

DOI:10.3389/fnins.2024.1439656
PMID:39145302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11321969/
Abstract

BACKGROUND

Decision-making under risk is a common challenge. It is known that risk-taking behavior varies between contexts of reward and punishment, yet the mechanisms underlying this asymmetry in risk sensitivity remain unclear.

METHODS

This study used a monetary task to investigate neurochemical mechanisms and brain dynamics underpinning risk sensitivity. Twenty-eight participants engaged in a task requiring selection of visual stimuli to maximize monetary gains and minimize monetary losses. We modeled participant trial-and-error processes using reinforcement learning.

RESULTS

Participants with higher subjective utility parameters showed risk preference in the gain domain ( = -0.59) and risk avoidance in the loss domain ( = -0.77). Magnetic resonance spectroscopy (MRS) revealed that risk avoidance in the loss domain was associated with γ-aminobutyric acid (GABA) levels in the ventral striatum ( = -0.42), but not in the insula ( = -0.15). Using functional magnetic resonance imaging (fMRI), we tested whether risk-sensitive brain dynamics contribute to participant risky choices. Energy landscape analyses demonstrated that higher switching rates between brain states, including the striatum and insula, were correlated with risk avoidance in the loss domain ( = -0.59), a relationship not observed in the gain domain ( = -0.02).

CONCLUSIONS

These findings from MRS and fMRI suggest that distinct mechanisms are involved in gain/loss decision making, mediated by subcortical neurometabolite levels and brain dynamic transitions.

摘要

背景

风险下的决策是一项常见挑战。已知冒险行为在奖励和惩罚情境中有所不同,然而这种风险敏感性不对称背后的机制仍不清楚。

方法

本研究使用一项金钱任务来探究支持风险敏感性的神经化学机制和脑动力学。28名参与者参与了一项任务,该任务要求选择视觉刺激以最大化金钱收益并最小化金钱损失。我们使用强化学习对参与者的试错过程进行建模。

结果

主观效用参数较高的参与者在收益领域表现出风险偏好(= -0.59),在损失领域表现出风险规避(= -0.77)。磁共振波谱(MRS)显示,损失领域的风险规避与腹侧纹状体中的γ-氨基丁酸(GABA)水平相关(= -0.42),但与脑岛中的GABA水平无关(= -0.15)。使用功能磁共振成像(fMRI),我们测试了风险敏感的脑动力学是否有助于参与者的风险选择。能量景观分析表明,包括纹状体和脑岛在内的脑状态之间较高的转换率与损失领域的风险规避相关(= -0.59),而在收益领域未观察到这种关系(= -0.02)。

结论

这些来自MRS和fMRI的发现表明,不同的机制参与了收益/损失决策,由皮质下神经代谢物水平和脑动态转换介导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b5/11321969/00d523799a14/fnins-18-1439656-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b5/11321969/eb6eb8c783d5/fnins-18-1439656-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b5/11321969/bd4041c22e3e/fnins-18-1439656-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b5/11321969/31da16b7d344/fnins-18-1439656-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b5/11321969/a9c91b9e0c65/fnins-18-1439656-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b5/11321969/00d523799a14/fnins-18-1439656-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b5/11321969/eb6eb8c783d5/fnins-18-1439656-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b5/11321969/bd4041c22e3e/fnins-18-1439656-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b5/11321969/31da16b7d344/fnins-18-1439656-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b5/11321969/a9c91b9e0c65/fnins-18-1439656-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b5/11321969/00d523799a14/fnins-18-1439656-g005.jpg

相似文献

1
Striatal GABA levels correlate with risk sensitivity in monetary loss.纹状体γ-氨基丁酸水平与金钱损失中的风险敏感性相关。
Front Neurosci. 2024 Jul 31;18:1439656. doi: 10.3389/fnins.2024.1439656. eCollection 2024.
2
Individual differences in sensitivity to reward and punishment and neural activity during reward and avoidance learning.奖励与惩罚敏感性的个体差异以及奖励与回避学习过程中的神经活动。
Soc Cogn Affect Neurosci. 2015 Sep;10(9):1219-27. doi: 10.1093/scan/nsv007. Epub 2015 Feb 12.
3
Is loss avoidance differentially rewarding in adolescents versus adults? Differences in ventral striatum and anterior insula activation during the anticipation of potential monetary losses.青少年和成年人在避免损失方面的奖励有差异吗?在预期潜在货币损失时,腹侧纹状体和前岛叶的激活存在差异。
Cogn Neurosci. 2023 Jan;14(1):36-49. doi: 10.1080/17588928.2022.2038555. Epub 2022 Feb 20.
4
The Effect of Positive and Negative Feedback on Risk-Taking across Different Contexts.积极和消极反馈对不同情境下冒险行为的影响。
PLoS One. 2015 Sep 25;10(9):e0139010. doi: 10.1371/journal.pone.0139010. eCollection 2015.
5
Altered reward expectancy in individuals with recent methamphetamine dependence.近期甲基苯丙胺依赖个体的奖赏预期改变。
J Psychopharmacol. 2017 Jan;31(1):17-30. doi: 10.1177/0269881116668590. Epub 2016 Sep 27.
6
Influence of dorsolateral prefrontal cortex and ventral striatum on risk avoidance in addiction: a mediation analysis.背外侧前额叶皮层和腹侧纹状体对成瘾中风险规避的影响:一项中介分析。
Drug Alcohol Depend. 2015 Apr 1;149:10-7. doi: 10.1016/j.drugalcdep.2014.12.026. Epub 2015 Feb 16.
7
Altered monetary loss processing and reinforcement-based learning in individuals with obesity.肥胖个体的货币损失加工和基于强化的学习改变。
Brain Imaging Behav. 2018 Oct;12(5):1431-1449. doi: 10.1007/s11682-017-9786-8.
8
Shared and distinct neural activity during anticipation and outcome of win and loss: A meta-analysis of the monetary incentive delay task.在期待和赢得/输掉金钱奖励的结果期间,共享和独特的神经活动:金钱奖励延迟任务的元分析。
Neuroimage. 2022 Dec 1;264:119764. doi: 10.1016/j.neuroimage.2022.119764. Epub 2022 Nov 24.
9
Neural basis of decision making guided by emotional outcomes.由情感结果引导的决策的神经基础。
J Neurophysiol. 2015 May 1;113(9):3056-68. doi: 10.1152/jn.00564.2014. Epub 2015 Feb 18.
10
Functional connectivity of reward processing in the brain.大脑中奖励处理的功能连接性。
Front Hum Neurosci. 2009 Jan 16;2:19. doi: 10.3389/neuro.09.019.2008. eCollection 2008.

本文引用的文献

1
Prefrontal GABA and glutamate-glutamine levels affect sustained attention.前额叶 GABA 和谷氨酸-谷氨酰胺水平影响持续注意力。
Cereb Cortex. 2023 Sep 26;33(19):10441-10452. doi: 10.1093/cercor/bhad294.
2
Common and distinct neural correlates of intertemporal and risky decision-making: Meta-analytical evidence for the dual-system theory.时间和风险决策的共同和独特神经关联:双重系统理论的元分析证据。
Neurosci Biobehav Rev. 2022 Oct;141:104851. doi: 10.1016/j.neubiorev.2022.104851. Epub 2022 Sep 1.
3
Dynamic Transitions Between Brain States Predict Auditory Attentional Fluctuations.
脑状态之间的动态转换可预测听觉注意力波动。
Front Neurosci. 2022 Mar 18;16:816735. doi: 10.3389/fnins.2022.816735. eCollection 2022.
4
The hierarchical construction of value.价值的层次结构。
Curr Opin Behav Sci. 2021 Oct;41:71-77. doi: 10.1016/j.cobeha.2021.03.027. Epub 2021 May 7.
5
The role of MRS-assessed GABA in human behavioral performance.MRS 评估的 GABA 在人类行为表现中的作用。
Prog Neurobiol. 2022 May;212:102247. doi: 10.1016/j.pneurobio.2022.102247. Epub 2022 Feb 8.
6
A learning mechanism shaping risk preferences and a preliminary test of its relationship with psychopathic traits.塑造风险偏好的学习机制及其与精神病态特征关系的初步检验。
Sci Rep. 2021 Oct 21;11(1):20853. doi: 10.1038/s41598-021-00358-8.
7
An association between prediction errors and risk-seeking: Theory and behavioral evidence.预测误差与风险寻求之间的关联:理论与行为证据。
PLoS Comput Biol. 2021 Jul 16;17(7):e1009213. doi: 10.1371/journal.pcbi.1009213. eCollection 2021 Jul.
8
On the functional role of striatal and anterior cingulate GABA+ in stimulus-response binding.纹状体和前扣带回 GABA+ 在刺激-反应绑定中的功能作用。
Hum Brain Mapp. 2021 Apr 15;42(6):1863-1878. doi: 10.1002/hbm.25335. Epub 2021 Jan 9.
9
Editorial: Application of Neural Technology to Neuro-Management and Neuro-Marketing.社论:神经技术在神经管理与神经营销中的应用
Front Neurosci. 2020 Feb 14;14:53. doi: 10.3389/fnins.2020.00053. eCollection 2020.
10
The Effect of Reduced Learning Ability on Avoidance in Psychopathy: A Computational Approach.学习能力下降对精神病态中回避行为的影响:一种计算方法。
Front Psychol. 2019 Nov 1;10:2432. doi: 10.3389/fpsyg.2019.02432. eCollection 2019.