Suppr超能文献

理性的敌人并非情感:认知控制网络的参与解释了得失框架中的偏差。

Reason's Enemy Is Not Emotion: Engagement of Cognitive Control Networks Explains Biases in Gain/Loss Framing.

作者信息

Li Rosa, Smith David V, Clithero John A, Venkatraman Vinod, Carter R McKell, Huettel Scott A

机构信息

Department of Psychology and Neuroscience.

Center for Cognitive Neuroscience.

出版信息

J Neurosci. 2017 Mar 29;37(13):3588-3598. doi: 10.1523/JNEUROSCI.3486-16.2017. Epub 2017 Mar 6.

Abstract

In the classic gain/loss framing effect, describing a gamble as a potential gain or loss biases people to make risk-averse or risk-seeking decisions, respectively. The canonical explanation for this effect is that frames differentially modulate emotional processes, which in turn leads to irrational choice behavior. Here, we evaluate the source of framing biases by integrating functional magnetic resonance imaging data from 143 human participants performing a gain/loss framing task with meta-analytic data from >8000 neuroimaging studies. We found that activation during choices consistent with the framing effect were most correlated with activation associated with the resting or default brain, while activation during choices inconsistent with the framing effect was most correlated with the task-engaged brain. Our findings argue against the common interpretation of gain/loss framing as a competition between emotion and control. Instead, our study indicates that this effect results from differential cognitive engagement across decision frames. The biases frequently exhibited by human decision makers have often been attributed to the presence of emotion. Using a large fMRI sample and analysis of whole-brain networks defined with the meta-analytic tool Neurosynth, we find that neural activity during frame-biased decisions was more significantly associated with default behaviors (and the absence of executive control) than with emotion. These findings point to a role for neuroscience in shaping long-standing psychological theories in decision science.

摘要

在经典的得失框架效应中,将一场赌博描述为潜在的收益或损失会使人们分别做出规避风险或寻求风险的决策。对此效应的典型解释是,框架会以不同方式调节情绪过程,进而导致非理性的选择行为。在此,我们通过整合143名执行得失框架任务的人类参与者的功能磁共振成像数据与来自8000多项神经成像研究的元分析数据,来评估框架偏差的来源。我们发现,与框架效应一致的选择过程中的激活与静息或默认脑区的激活最为相关,而与框架效应不一致的选择过程中的激活则与参与任务的脑区最为相关。我们的研究结果反对将得失框架效应普遍解释为情绪与控制之间的竞争。相反,我们的研究表明,这种效应是由不同决策框架下认知参与的差异导致的。人类决策者经常表现出的偏差往往被归因于情绪的存在。通过使用大量功能磁共振成像样本,并利用元分析工具Neurosynth定义的全脑网络进行分析,我们发现,在有框架偏差的决策过程中,神经活动与默认行为(以及缺乏执行控制)的关联比与情绪的关联更为显著。这些发现表明神经科学在塑造决策科学中长期存在的心理学理论方面发挥着作用。

相似文献

1
Reason's Enemy Is Not Emotion: Engagement of Cognitive Control Networks Explains Biases in Gain/Loss Framing.
J Neurosci. 2017 Mar 29;37(13):3588-3598. doi: 10.1523/JNEUROSCI.3486-16.2017. Epub 2017 Mar 6.
2
Working memory loads differentially influence frame-induced bias and normative choice in risky decision making.
PLoS One. 2019 Mar 28;14(3):e0214571. doi: 10.1371/journal.pone.0214571. eCollection 2019.
3
Framing effects: behavioral dynamics and neural basis.
Neuropsychologia. 2010 Sep;48(11):3198-204. doi: 10.1016/j.neuropsychologia.2010.06.031. Epub 2010 Jul 1.
4
The order of information processing alters economic gain-loss framing effects.
Acta Psychol (Amst). 2018 Jan;182:46-54. doi: 10.1016/j.actpsy.2017.11.013. Epub 2017 Nov 11.
5
Functional connectivity with distinct neural networks tracks fluctuations in gain/loss framing susceptibility.
Hum Brain Mapp. 2015 Jul;36(7):2743-55. doi: 10.1002/hbm.22804. Epub 2015 Apr 8.
6
Erratum: Li et al., "Reason's Enemy is Not Emotion: Engagement of Cognitive Control Networks Explains Biases in Gain/Loss Framing".
J Neurosci. 2020 Jun 24;40(26):5155. doi: 10.1523/JNEUROSCI.1261-20.2020. Epub 2020 Jun 9.
7
A neuroimaging investigation of attribute framing and individual differences.
Soc Cogn Affect Neurosci. 2014 Oct;9(10):1464-71. doi: 10.1093/scan/nst140. Epub 2013 Aug 29.
8
Role of Emotion and Cognition on Age Differences in the Framing Effect.
Int J Aging Hum Dev. 2017 Sep;85(3):305-325. doi: 10.1177/0091415017691284. Epub 2017 Feb 19.
9
No Effect of Commercial Cognitive Training on Brain Activity, Choice Behavior, or Cognitive Performance.
J Neurosci. 2017 Aug 2;37(31):7390-7402. doi: 10.1523/JNEUROSCI.2832-16.2017. Epub 2017 Jul 10.
10
Observers penalize decision makers whose risk preferences are unaffected by loss-gain framing.
J Exp Psychol Gen. 2022 Sep;151(9):2043-2059. doi: 10.1037/xge0001187. Epub 2022 Feb 10.

引用本文的文献

1
A systematic review of risky-choice framing effects.
EXCLI J. 2023 Sep 19;22:1012-1031. doi: 10.17179/excli2023-6169. eCollection 2023.
2
Critical tests of fuzzy trace theory in brain and behavior: uncertainty across time, probability, and development.
Cogn Affect Behav Neurosci. 2023 Jun;23(3):746-772. doi: 10.3758/s13415-022-01058-0. Epub 2023 Feb 24.
3
Neural Support for Contributions of Utility and Narrative Processing of Evidence in Juror Decision Making.
J Neurosci. 2022 Oct 5;42(40):7624-7633. doi: 10.1523/JNEUROSCI.2434-21.2022. Epub 2022 Sep 5.
4
Social cognitive processes explain bias in juror decisions.
Soc Cogn Affect Neurosci. 2023 Feb 23;18(1). doi: 10.1093/scan/nsac057.
5
Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges.
Wiley Interdiscip Rev Cogn Sci. 2022 May;13(3):e1589. doi: 10.1002/wcs.1589. Epub 2022 Feb 8.
6
How Neurobiology Elucidates the Role of Emotions in Financial Decision-Making.
Front Psychol. 2021 Jul 19;12:697375. doi: 10.3389/fpsyg.2021.697375. eCollection 2021.
7
Positive emotion induction improves cardiovascular coping with a cognitive task.
PeerJ. 2021 Mar 12;9:e10904. doi: 10.7717/peerj.10904. eCollection 2021.
8
Greater learning transfer effect for avoidance of loss than for achievement of gain in Finnish and Russian schoolchildren.
Heliyon. 2020 Jun 9;6(6):e04158. doi: 10.1016/j.heliyon.2020.e04158. eCollection 2020 Jun.
9
The Neural Mechanism of the Social Framing Effect: Evidence from fMRI and tDCS Studies.
J Neurosci. 2020 Apr 29;40(18):3646-3656. doi: 10.1523/JNEUROSCI.1385-19.2020. Epub 2020 Apr 1.

本文引用的文献

1
Do intuitive and deliberate judgments rely on two distinct neural systems? A case study in face processing.
Front Hum Neurosci. 2015 Aug 25;9:456. doi: 10.3389/fnhum.2015.00456. eCollection 2015.
2
Rethinking fast and slow based on a critique of reaction-time reverse inference.
Nat Commun. 2015 Jul 2;6:7455. doi: 10.1038/ncomms8455.
3
NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain.
Front Neuroinform. 2015 Apr 10;9:8. doi: 10.3389/fninf.2015.00008. eCollection 2015.
4
Functional connectivity with distinct neural networks tracks fluctuations in gain/loss framing susceptibility.
Hum Brain Mapp. 2015 Jul;36(7):2743-55. doi: 10.1002/hbm.22804. Epub 2015 Apr 8.
5
Social closeness and feedback modulate susceptibility to the framing effect.
Soc Neurosci. 2015;10(1):35-45. doi: 10.1080/17470919.2014.944316. Epub 2014 Jul 30.
6
Permutation inference for the general linear model.
Neuroimage. 2014 May 15;92(100):381-97. doi: 10.1016/j.neuroimage.2014.01.060. Epub 2014 Feb 11.
7
Precuneus is a functional core of the default-mode network.
J Neurosci. 2014 Jan 15;34(3):932-40. doi: 10.1523/JNEUROSCI.4227-13.2014.
8
Manipulating the contribution of approach-avoidance to the perturbation of economic choice by valence.
Front Neurosci. 2013 Dec 4;7:228. doi: 10.3389/fnins.2013.00228. eCollection 2013.
9
Neural basis of emotional decision making in trait anxiety.
J Neurosci. 2013 Nov 20;33(47):18641-53. doi: 10.1523/JNEUROSCI.1253-13.2013.
10
A neuroimaging investigation of attribute framing and individual differences.
Soc Cogn Affect Neurosci. 2014 Oct;9(10):1464-71. doi: 10.1093/scan/nst140. Epub 2013 Aug 29.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验