scholarly journals Erratum: Li et al., “Reason's Enemy is Not Emotion: Engagement of Cognitive Control Networks Explains Biases in Gain/Loss Framing”

2020 ◽  
Vol 40 (26) ◽  
pp. 5155-5155
Keyword(s):  
Cognitive Control ◽  
Control Networks ◽  
Gain Loss ◽  
Loss Framing ◽  
Gain Loss Framing

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

2017 ◽  
Vol 37 (13) ◽  
pp. 3588-3598 ◽  
Author(s):  
Rosa Li ◽  
David V. Smith ◽  
John A. Clithero ◽  
Vinod Venkatraman ◽  
R. McKell Carter ◽  
...  
Keyword(s):  
Cognitive Control ◽  
Control Networks ◽  
Gain Loss ◽  
Loss Framing ◽  
Gain Loss Framing

scholarly journals Reason’s Enemy Is Not Emotion: Engagement of Cognitive Control Networks Explains Biases in Gain/Loss Framing

2017 ◽  
Author(s):  
Rosa Li ◽  
David V. Smith ◽  
John A. Clithero ◽  
Vinod Venkatraman ◽  
R. McKell Carter ◽  
...  
Keyword(s):  
Framing Effect ◽  
Control Networks ◽  
Decision Frames ◽  
Potential Gain ◽  
Human Decision ◽  
Human Participants ◽  
Gain Loss ◽  
And Control ◽  
Loss Framing ◽  
Gain Loss Framing

AbstractIn 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 (fMRI) data from 143 human participants performing a gain/loss framing task with meta-analytic data from over 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 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.Significance StatementThe 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 are 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 longstanding psychological theories in decision science.

scholarly journals Functional connectivity with distinct neural networks tracks fluctuations in gain/loss framing susceptibility

2015 ◽  
Vol 36 (7) ◽  
pp. 2743-2755 ◽  
Author(s):  
David V. Smith ◽  
Kamila E. Sip ◽  
Mauricio R. Delgado
Keyword(s):  
Neural Networks ◽  
Functional Connectivity ◽  
Gain Loss ◽  
Loss Framing ◽  
Gain Loss Framing

A matching law analysis of risk tolerance and gain–loss framing in football play selection.

2015 ◽  
Vol 15 (2) ◽  
pp. 112-121 ◽  
Author(s):  
Thomas S. Critchfield ◽  
Stephanie T. Stilling
Keyword(s):  
Risk Tolerance ◽  
Matching Law ◽  
Gain Loss ◽  
Loss Framing ◽  
Gain Loss Framing

scholarly journals Gain-loss framing enhances mnemonic discrimination in preschoolers

2018 ◽  
Author(s):  
Chi Ngo ◽  
Nora Newcombe ◽  
Ingrid R. Olson
Keyword(s):  
Age Groups ◽  
Memory Task ◽  
Older Children ◽  
Fine Grain ◽  
Age Related ◽  
Gain Loss ◽  
Loss Frame ◽  
Gain Frame ◽  
Loss Framing ◽  
Gain Loss Framing

Episodic memory relies on discriminating among similar elements of episodes. Mnemonic discrimination is relatively poor at age 4, and then improves markedly. We investigated whether motivation to encode items with fine grain resolution would change this picture of development, using an engaging computer-administered memory task in which a bird ate items that made the bird healthier (gain frame), sicker (loss frame), or led to no change (control condition). Using gain-loss framing led to enhanced mnemonic discrimination in 4- and 5-year-olds, but did not affect older children or adults. Despite this differential improvement, age-related differences persisted. An additional finding was that loss framing led to greater mnemonic discrimination than gain framing across age groups. Motivation only partially accounts for development in mnemonic discrimination.

Can Emotions Capture the Elusive Gain-Loss Framing Effect? A Meta-Analysis

2019 ◽  
Vol 47 (8) ◽  
pp. 1107-1130 ◽  
Author(s):  
Robin L. Nabi ◽  
Nathan Walter ◽  
Neekaan Oshidary ◽  
Camille G. Endacott ◽  
Jessica Love-Nichols ◽  
...  
Keyword(s):  
Positive Emotions ◽  
Meta Analysis ◽  
Negative Emotions ◽  
Future Research ◽  
Message Frame ◽  
Potential Impact ◽  
Gain And Loss ◽  
Gain Loss ◽  
Loss Framing ◽  
Gain Loss Framing

Although recent streams of research have suggested that emotions play a key role in generating framing effects, little is known about the affective dimension of gain and loss framing and its potential impact on persuasion. The current study adopted a meta-analytical approach, synthesizing over 30 years of literature ( k = 25, N = 5,772), to investigate this issue. The results indicate that message frame type directs the emotional response elicited in the audience, with gain frames inducing positive emotions ( d = .31, p = .02) and loss frames inducing negative emotions ( d = .22, p = .001). In turn, the experience of positive emotions enhances the influence of gain frames ( b = .18, p = .045), whereas negative emotions augment the effects of loss frames ( b = −.70, p = .01). These findings confirm that emotional responses may offer a pathway through which gain- and loss-framed messages exert persuasive influence. The study integrates the results with the emotions-as-frames perspective and proposes several promising avenues for future research.

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