The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index; none of the 22 sources its claims cite is checked for support yet.
Amygdala damage eliminates monetary loss aversion
Open accessAbstract
Losses are a possibility in many risky decisions, and organisms have evolved mechanisms to evaluate and avoid them. Laboratory and field evidence suggests that people often avoid risks with losses even when they might earn a substantially larger gain, a behavioral preference termed “loss aversion.” The cautionary brake on behavior known to rely on the amygdala is a plausible candidate mechanism for loss aversion, yet evidence for this idea has so far not been found. We studied two rare individuals with focal bilateral amygdala lesions using a series of experimental economics tasks. To measure individual sensitivity to financial losses we asked participants to play a variety of monetary gambles with possible gains and losses. Although both participants retained a normal ability to respond to changes in the gambles’ expected value and risk, they showed a dramatic reduction in loss aversion compared to matched controls. The findings suggest that the amygdala plays a key role in generating loss aversion by inhibiting actions with potentially deleterious outcomes.
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Written from the paper’s full text.
TL;DR
Two rare individuals with focal bilateral amygdala lesions showed a dramatic reduction in monetary loss aversion while retaining normal sensitivity to reward magnitude and risk. The authors conclude that the amygdala plays a necessary role in generating loss aversion, possibly by signaling prospective losses and inhibiting actions with potentially deleterious outcomes.
Key findings
- Both amygdala-lesioned participants were far more willing than matched controls to accept mixed gain–loss gambles, with significantly lower risk premiums: S.M. t(5) = 7.76, P < 0.001; A.P. t(5) = 13.57, P < 0.001.
- Loss aversion parameter λ was 0.76 for S.M. versus a control mean of 1.52 (SEM = 0.19), and 1.06 for A.P. versus a control mean of 1.76 (SEM = 0.12); A.P. was essentially loss neutral, while S.M. showed mild loss-seeking behavior.
- The lesion participants retained monotonic sensitivity to reward magnitude and disliked increased outcome variance no differently from controls; in a gain-only “double or nothing” task, acceptance rates did not differ significantly from controls (S.M. t(5) = 1.16, P > 0.1; A.P. t(5) = 0.65, P > 0.1).
- The authors interpret the pattern as evidence that the amygdala is necessary for loss aversion, with loss aversion and general risk aversion depending on partly separable neural systems.
Methods
- Case study of two women with focal bilateral amygdala lesions caused by Urbach-Wiethe disease: S.M., 43, with lesions encompassing the entire amygdala plus subjacent white matter and anterior entorhinal cortex; A.P., 23, with lesions confined to the amygdala and occupying roughly 50% of each amygdala’s volume. Each was compared with a separate group of 6 healthy controls matched on age, gender, income, and education (12 controls total).
- Loss aversion task: participants received a $50 endowment and completed 256 trials (four 64-trial sessions) of accept/reject choices for 50/50 mixed gambles with gains from +$20 to +$50 and losses from −$20 to −$50 in $2 increments, covering all 16 × 16 gain–loss pairs. Choices were analyzed with logistic regression on expected value to estimate risk premiums; bootstrap procedures generated 500 pseudosubjects, and independent two-sample two-tailed t tests compared lesion participants with controls.
- Additional analyses: variance sensitivity was assessed using the orthogonality of expected value and outcome variance in the symmetric design; a separate gain-only “double or nothing” task used sure amounts of $2 or multiples of $5 from $5 to $50, with 11 trials each presented 8 times (88 trials total).
Limitations
- Stated: the sample size of lesion participants is n = 2, which is common in neuropsychological studies because focal bilateral amygdala lesions are very rare, but this limits generalization; lesion studies remain one of the few methods for investigating causal brain–behavior relationships in humans.
- Stated: differences between S.M. and A.P. and their respective control groups may be due to sociodemographic factors such as income, education, and aging, and S.M.’s more extensive amygdala damage may also partly account for the difference between the two lesion participants.
- Evident: the study has very small samples (two lesion participants and six controls per group), and the proposed amygdala-to-striatum mechanism is not directly tested here; the paper notes that future functional connectivity studies and fMRI in lesion participants could test this idea.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both amygdala-lesioned participants showed a strikingly higher willingness to accept gambles than their matched control groups.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This procedure showed that each amygdala-lesioned participant had a significantly lower risk premium than her matched control group, S.M. t(5) = 7.76 P < 0.001; A.P. t(5) = 13.57; P < 0.001”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In this task, there was no significant difference in the acceptance rate of each lesion participant and that participant’s matched controls S.M. t(5) = 1.16, P > 0.1; A.P. t(5) = 0.65, P > 0.1”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesWhat the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The two participants have rare focal bilateral lesions of the amygdala (Fig. 1).”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our account of the findings proposes that the amygdala computes a signal of prospective loss that is integrated with other information to guide behavioral choice.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesWhat the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The first analysis exploited the fact that in our experimental design the outcome variance (VAR) of each mixed gain–loss gamble is orthogonal to the gamble’s EV (i.e., they are uncorrelated) (Fig. 5).”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our findings demonstrate that the amygdala plays a necessary role in generating loss aversion”
- Also stated in: § Abstract · hedged
“The findings suggest that the amygdala plays a key role in generating loss aversion by inhibiting actions with potentially deleterious outcomes.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § Abstract · hedged
None of the sources cited for this claim have been checked yet.
In the paper
“Our findings demonstrate that the amygdala plays a necessary role in generating loss aversion and suggest that loss aversion may reflect a simple Pavlovian approach–avoidance response mediated by the amygdala (36, 37).”
What the sources say
- Not checked yetcites [36] Kahneman D, Frederick S. Frames and brains: Elicitation and control of response tendencies. Trends Cogn Sci. 2007;11:45–46. doi: 10.1016/j.tics.2006.11.007. [DOI] [PubMed] [Google Scholar] source
- Not checked yetcites [37] Dayan P, Seymour B. Values and actions in aversion. In: Glimcher P, Camerer C, Poldrack R, Fehr E, editors. Neuroeconomics: Decision making and the brain. New York, NY: Academic Press; 2008. pp. 175–191. [Google Scholar]
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“That finding, and our present results from lesion patients, suggest that individual variance in amygdala function might contribute, together with other socioeconomic factors, to individual differences in loss aversion, even in healthy individuals.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we suggest that the amygdala may implement a very general biological mechanism for inhibiting instrumental behavior when outcomes are potentially aversive—a role that is expressed in monetary loss aversion shaping everyday financial decisions.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: The laboratory monetary gamble task measures the same loss aversion that shapes everyday financial decisions.
- It may state two separate claims as one. 12
- The quote only partly states this claim. 1
- Probably not a substantial claim. 19
None of the sources cited for this claim have been checked yet.
In the paper
“This analysis yielded λ = 0.76 for S.M., and a mean λ for the S.M. control group of 1.52 (SEM = 0.19). For A.P., λ = 1.06 whereas the mean λ for the A.P. control group was 1.76 (SEM = 0.12).”
- Also stated in: § Results · plain
“The values of λ estimated by our analysis show that neither amygdala-lesioned participant exhibits loss aversion whereas the control participant λ estimates are close to those found in previous studies (17, 18).”
What the sources say
- Not checked yetcites [17] Sokol-Hessner P, et al. Thinking like a trader selectively reduces individuals’ loss aversion. Proc Natl Acad Sci USA. 2009;106(13):5035–5040. doi: 10.1073/pnas.0806761106. [DOI] [PMC free article] [PubMed] [Google Scholar] source
- Not checked yetcites [18] Tom SM, Fox CR, Trepel C, Poldrack RA. The neural basis of loss aversion in decision-making under risk. Science. 2007;315:515–518. doi: 10.1126/science.1134239. [DOI] [PubMed] [Google Scholar] source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one. The quote only partly states this claim.
- Also stated in: § Results · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Critically, both lesion participants exhibited a marked dislike for increasing outcome variance, given a constant level of expected value. This was manifested in a reduction in gamble acceptance rates as a function of increases in the gamble’s variance (Fig. 6). Most importantly, their dislike for increased variance was no different from that of the controls.”
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Critically, both participants retained a monotonic sensitivity to reward magnitude (i.e., they preferred larger gains and smaller losses).”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Loss aversion has been well documented in the laboratory and in many field settings (2), including high-stakes game show decisions (3), financial markets (4), politics (5), trade policy for declining industries (6), rate of organ donation for transplant cases (7) and has also been evident in monkey behavior (8).”
What the sources say
- Not checked yetcites [2] Kahneman D, Tversky A. Choices, values, and frames. Am Psychol. 1984;39:341–350. [Google Scholar] source
- Not checked yetcites [3] Post T, Van den Assem M, Baltussen G, Thaler R. Deal or no deal? Decision making under risk in a large-payoff game show. Am Econ Rev. 2008;98:38–71. [Google Scholar] source
- Not checked yetcites [4] Haigh M, List J. Do professional traders exhibit myopic loss aversion? An experimental analysis. J Finance. 2005;60:523–534. [Google Scholar] source
Strength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The two participants were each compared to a separate group of 6 healthy controls (12 in total) matched to that participant on age, gender, monetary income, and education.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The first participant, S.M., is a 43-year-old woman with a high school education whose lesions encompass the entire amygdala plus subjacent white matter and anterior entorhinal cortex. The second participant, A.P., is a 23-year-old woman with a college education whose lesions are entirely confined to the amygdala and encompass roughly 50% of the amygdala.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“loss aversion appears to increase with affective enrichment of “hedonic” consumer goods (e.g., music CDs versus computer disks) (11) and more generally with emotional attachment (12).”
What the sources say
- Not checked yetcites [11] Dhar R, Wertenbroch K. Consumer choice between hedonic and utilitarian goods. J Mark Res. 2000;37:60–71. [Google Scholar] source
- Not checked yetcites [12] Ariely D, Huber J, Wertenbroch K. When do losses loom larger than gains? J Mark Res. 2005;42:134–138. [Google Scholar] source
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Across many studies, losses typically loom about 1.5–2 times as large as gains: for instance, people will avoid gambles in which they are equally likely to either lose $10 or win $15, even though the expected value of the gamble is positive ($2.50).”
What the sources say
- Not checked yetcites [1] Kahneman D, Tversky A. Prospect theory: An analysis of decision under risk. Econometrica. 1979;47:263–292. [Google Scholar] source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“recent theories of amygdala function argue that the amygdala subserves an abstract function in detecting uncertainty (13) or ambiguity (14) in the environment and in triggering arousal and vigilance as a consequence.”
What the sources say
- Not checked yetcites [13] Whalen PJ. The uncertainty of it all. Trends Cogn Sci. 2007;11:499–500. doi: 10.1016/j.tics.2007.08.016. [DOI] [PubMed] [Google Scholar] source
- Not checked yetcites [14] Hsu M, Bhatt M, Adolphs R, Tranel D, Camerer CF. Neural systems responding to degrees of uncertainty in human decision-making. Science. 2005;310:1680–1683. doi: 10.1126/science.1115327. [DOI] [PubMed] [Google Scholar] source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✗ Asserted: fails✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The authors may not put it forward as true. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“a recent study found that increased cognitive control of the autonomic emotional responses normally elicited by losses significantly reduced the susceptibility to loss aversion (17).”
What the sources say
- Not checked yetcites [17] Sokol-Hessner P, et al. Thinking like a trader selectively reduces individuals’ loss aversion. Proc Natl Acad Sci USA. 2009;106(13):5035–5040. doi: 10.1073/pnas.0806761106. [DOI] [PMC free article] [PubMed] [Google Scholar] source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✗ Asserted: fails✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The authors may not put it forward as true. The paper’s conclusions may not depend on it.
In the paper
“a tendency for amygdala-lesioned monkeys to approach stimuli that healthy monkeys avoid (15)”
What the sources say
- Not checked yetcites [15] Mason WA, Capitanio JP, Machado CJ, Mendoza SP, Amaral DG. Amygdalectomy and responsiveness to novelty in rhesus monkeys (Macaca mulatta): Generality and individual consistency of effects. Emotion. 2006;6:73–81. doi: 10.1037/1528-3542.6.1.73. [DOI] [PubMed] [Google Scholar] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“an idea motivated by a large literature implicating this brain structure in processing fear and threat (9), as well as in anticipation and experience of monetary loss (10).”
What the sources say
- Not checked yetcites [9] Adolphs R, Tranel D, Damasio H, Damasio AR. Fear and the human amygdala. J Neurosci. 1995;15:5879–5891. doi: 10.1523/JNEUROSCI.15-09-05879.1995. [DOI] [PMC free article] [PubMed] [Google Scholar] source
- Not checked yetcites [10] Kahn I, et al. The role of the amygdala in signaling prospective outcome of choice. Neuron. 2002;33:983–994. doi: 10.1016/s0896-6273(02)00626-8. [DOI] [PubMed] [Google Scholar] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
In the paper
“a recent fMRI study (18 ) did not find amygdala activation associated with loss aversion”
What the sources say
- Not checked yetcites [18] Tom SM, Fox CR, Trepel C, Poldrack RA. The neural basis of loss aversion in decision-making under risk. Science. 2007;315:515–518. doi: 10.1126/science.1134239. [DOI] [PubMed] [Google Scholar] source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A plausible explanation that reconciles our findings with the previous fMRI study is that an initial negative anticipatory response is generated in the amygdala, influences the striatal computation of the gamble’s net value, and consequently leads to behavioral loss aversion through striatal mediation of instrumental behavior.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“lesion studies are one of the few methods in human neuroscience to investigate causal relationships between brain function and behavior.”
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“this is a standard procedure used in behavioral economics, which ensures that participants evaluate each gamble independently.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“More specifically, lesions to the amygdala would result in a reduced input to downstream regions that compute value through integrating across multiple inputs.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Note that the sample size of lesion participants (n = 2) is common in neuropsychological studies—indeed, many famous studies used only a single participant. The reason is that individuals with focal brain lesions such as the bilateral amygdala lesions here are very rare.”
Strength:plain· not yet calibratedn = 2Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“This procedure (i.e., bootstrapping at individuals level) was chosen because it is a more conservative procedure than the bootstrap at trial level, as it preserves the intersubject variability present in the control group.”
Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In this view, the amygdala produces an output signal in response to prospective loss, which is conveyed to other value-sensitive brain structures such as the ventral striatum and orbitofrontal cortex.”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Amygdala and striatum have a well-documented anatomic connectivity (29) and show a tight functional coupling in stimulus–reward association and stimulus–cue devaluation (30).”
What the sources say
- Not checked yetcites [29] Amaral DG, Price JL, Pitkanen A, Carmichael ST. in The Amygdala: Neurobiological Aspects of Emotion, Memory and Mental Dysfunction. In: Aggleton JP, editor. New York: Wiley−Liss; 1992. pp. 1–66. [Google Scholar]
- Not checked yetcites [30] Baxter MG, Murray EA. The amygdala and reward. Nat Rev Neurosci. 2002;3:563–573. doi: 10.1038/nrn875. [DOI] [PubMed] [Google Scholar] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In the case of evaluation of mixed gambles, this could result in a reduced aversive signal elicited by the prospect of potential loss together with normal appetitive signals triggered by the prospect of potential gain. As a consequence (in particular when the EV of the gamble is close to zero), the appetitive response to the gain component of the gamble may outweigh the aversive component in the”
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In those examples, the amygdala is not the locus of memory or of choice, but it passes a signal to other brain regions for integration of such processes.”
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our findings could also shed some light on the nature of individual differences in loss aversion observed in many behavioral studies.”
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
None of the sources cited for this claim have been checked yet.
In the paper
“In this regard, the amygdala’s role in mediating loss aversion may be analogous to its role in modulating caudate- or hippocampal-dependent memory (31), and choice in reversal tasks (20).”
What the sources say
- Not checked yetcites [31] Packard MG, Cahill L, McGaugh JL. Amygdala modulation of hippocampal-dependent and caudate nucleus-dependent memory processes. Proc Natl Acad Sci USA. 1994;91:8477–8481. doi: 10.1073/pnas.91.18.8477. [DOI] [PMC free article] [PubMed] [Google Scholar] source
- Not checked yetcites [20] Hampton AN, Adolphs R, Tyszka MJ, O’Doherty JP. Contributions of the amygdala to reward expectancy and choice signals in human prefrontal cortex. Neuron. 2007;55:545–555. doi: 10.1016/j.neuron.2007.07.022. [DOI] [PubMed] [Google Scholar] source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper relies on this without support.
The laboratory monetary gamble task measures the same loss aversion that shapes everyday financial decisions.
“a role that is expressed in monetary loss aversion shaping everyday financial decisions.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Recent studies have shown that amygdala activity tracks the subjective values of rewards and punishments 14 and reflects individual preferences 15 .”
From Oxytocin modulates social value representations in the amygdala (2019) · cites this paper as [15]
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentt(5) = 1.16reported p > .1 · recomputed p = .298
“t(5) = 1.16, p > .1”
- Consistentt(5) = 0.65reported p > .1 · recomputed p = .544
“t(5) = 0.65, p > .1”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Two expressions for gamble variance are unequal
MinorThe stated variance calculation has an extra factor of 0.5 on its second term, so it does not equal the expression after the equals sign. For G = 20 and L = −20, the left side gives 300 and the right side gives 400.
“0.5[G − (0.5G + 0.5L)]2 + 0.5 × 0.5[L − (0.5G + 0.5L)]2”
“= (0.5G − 0.5L)2”
Citations
Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Prospect theory: An analysis of decision under risk
Kahneman, D. J., & Tversky, A. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511609220.014 · Cited by 32,720
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
Kahneman, D., & Tversky, A. (1984) · American Psychologist · doi:10.1037/0003-066x.39.4.341 · Cited by 6,544
Kahneman, D. J., & Tversky, A. (2013) · World Scientific handbook in financial economic series · doi:10.1142/9789814417358_0016 · Cited by 5,379
Serotonin transporter genetic variation and the response of the human amygdala.
Hariri, A. R., Mattay, V. S., Tessitore, A., Kolachana, B., Fera, F., Goldman, D., Egan, M. F., & Weinberger, D. R. (2002) · Science · doi:10.1126/science.1071829 · Cited by 2,340
Consumer Choice between Hedonic and Utilitarian Goods
Dhar, R., & Wertenbroch, K. (2000) · Journal of Marketing Research · doi:10.1509/jmkr.37.1.60.18718 · Cited by 2,239
The neural basis of loss aversion in decision-making under risk
Tom, S. M., Fox, C. R., Trepel, C., & Poldrack, R. A. (2007) · Science · doi:10.1126/science.1134239 · Cited by 1,733
Frames, Biases, and Rational Decision-Making in the Human Brain
Martino, B. D., Kumaran, D., Seymour, B., & Dolan, R. J. (2006) · Science · doi:10.1126/science.1128356 · Cited by 1,687
The amygdala: Neurobiological aspects of emotion, memory, and mental dysfunction.
Aggleton, J. P. (1992) · Wiley-Liss eBooks · Cited by 1,536
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- TW Buchanan, D Tranel, R Adolphs The Human Amygdala and Social Function (Oxford Univ Press, London, 2009).
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Items 301–400 of 441
Aversion to loss of place: The endowment effect for local facilities
Christiaanse, S., Haartsen, T., & Venhorst, V. A. (2023) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2023.102101 · Cited by 4
The neural correlates of contractual risk and penalty framing
Ekins, W. G., Brooks, A. M., & Berns, G. S. (2014) · Journal of Risk and Uncertainty · doi:10.1007/s11166-014-9199-7 · Cited by 3
“Furthermore, in studies of participants with brain lesions in the amygdala, researchers found no discernible loss aversion among their participants (Martino et al. 2010).”
Verwendung ökonomischer Spiele für die Diagnostik psychischer Erkrankungen
Kupferberg, A., Preuss, N., & Hasler, G. (2017) · Zeitschrift für Psychiatrie Psychologie und Psychotherapie · doi:10.1024/1661-4747/a000300 · Cited by 3
Absolute and relative stability of loss aversion across contexts.
Spektor, M. S., Kellen, D., Rieskamp, J., & Klauer, K. C. (2023) · Journal of Experimental Psychology General · doi:10.1037/xge0001513 · Cited by 4
“The study of context dependencies is likely to shed light over ongoing debates on the neural processes involved in preferential choice: De Martino et al. (2010) reported a positive relationship between activity in the amygdala and loss aversion, whereas no such relationship was found by Tom et al.…”
Do executive facial trustworthiness have impact on IPO underpricing in the Indonesia stock exchange?
Hendrawan, I. P. S., & Utama, C. A. (2024) · Review of Behavioral Finance · doi:10.1108/rbf-12-2023-0327 · Cited by 3
Westwood, S., & Philiastides, M. G. (2024) · Human Brain Mapping · doi:10.1002/hbm.70072 · Cited by 4
“…O'Doherty 2006; Seymour et al. 2004; Skvortsova, Palminteri, and Pessiglione 2014), while damage to the amygdala is known to inhibit salience processing of arousing stimuli (e.g., Anderson and Phelps 2001) as well as punishment learning (Bechara et al. 1995; De Martino, Camerer, and Adolphs 2010).”
Jin, J., Xiao, Q., Liu, Y., Xu, T. H., & Shen, Q. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf058 · Cited by 3
Can Your DNA Influence Your Bet-Placing? The Impact of Cannabinoid Receptor 1 Gene on Gambling Tasks
Qin, H., Zeng, J., Chen, H., Deng, L., & Su, L. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00458 · Cited by 3
“Reduced amygdala activation has been found to diminish the framing effect (De Martino et al., 2010).”
BackgroundThe characteristics, mechanisms and interventions of drug addicts' decision-making defects
Yang, L., Dongwei, Y. A. O., Hua, C. A. O., Wang, B., He, Y., & Su, H. (2019) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2019.00329 · Cited by 3
Roberts, H., Tyson‐Carr, J., Giesbrecht, T., & Stančák, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821413-8.00015-4 · Cited by 3
Nodular bilateral amygdala degeneration in demented individuals
Lain, A. H., Lieberman, A. P., Pfannl, R., & Hedley‐Whyte, E. T. (2010) · Acta Neuropathologica · doi:10.1007/s00401-010-0745-3 · Cited by 3
“The amygdala is a component of the limbic system that has a modulatory effect on the acquisition and consolidation of memories that evoke an emotional response [3, 4].”
Li, B., Fuming, X. U., Wang, W., Zhang, H., & Hanbing, L. U. O. (2014) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2014.01319 · Cited by 3
The effect of grade framing on task engagement, task completion, and anticipated regret
Tifferet, S. (2020) · Instructional Science · doi:10.1007/s11251-020-09516-3 · Cited by 6
Paradoxical functional facilitation and recovery in neurological and psychiatric conditions
Kapur, N. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511978098.005 · Cited by 4
Loss Aversion Under Cognitive LoadPreprint
Guillemette, M. A., James, R. N., & Larsen, J. T. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2357609 · Cited by 4
Brochard, J., & Jean Daunizeau, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.08.287714 · Cited by 3
“On the other hand, it was also shown that the prospect of a loss prospect may activate Amygdala, which would trigger a cautionary brake on behavior that facilitates loss aversion (Martino et al., 2006, 2010).”
BackgroundGrit, Loss Aversion, and Investor BehaviorPreprint
Bazley, W. J., Jannati, S., & Korniotis, G. M. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3866704 · Cited by 4
A Subtle Pronoun Shift Reduces Loss AversionPreprint
He, T., Li, Y., & Yan, J. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3945320 · Cited by 3
Where You Stand Affects the Risks You Take: Socially Reference-Dependent Risk AttitudesPreprint
Lien, J. W., & Zheng, J. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4021909 · Cited by 3
The Welfare Economics of Reference Dependence
Reck, D., & Seibold, A. (2023) · National Bureau of Economic Research · doi:10.3386/w31381 · Cited by 3
Methamphetamine related cues impact impulsive choice by decreasing loss aversion
Han, Y., Xu, R.-S., Zhou, X.-Y., Yang, X.-H.-H., Chen, R.-Y., Lin, Q.-Q., Shen, Z., & Wang, Y. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06999-7 · Cited by 2
Reward processing disruption in anxiety: fMRI evidence of vulnerability to frustration non-reward
Wan, J., Zhou, Y., Zhang, X., Li, H., & Lei, Y. (2025) · Psychological Medicine · doi:10.1017/s0033291725101840 · Cited by 2
“This may be due to the amygdala ’ s heightened sensitivity to loss aversion (De Martino, Camerer, & Adolphs, 2010; Sokol-Hessner, Camerer, & Phelps, 2013), and the few loss trials under the low-frustrated condition may not have been sufficient to detect this activation.”
Diffusion connectometry reveals white matter substrates of individual differences in loss aversion
Arioli, M., Braga, A., Cattaneo, Z., Mattavelli, G. C., Poggi, P., & Canessa, N. (2025) · Scientific Reports · doi:10.1038/s41598-025-27901-1 · Cited by 3
“The involvement of the amygdala is also supported by lesional evidence 27 .”
Nuostolių baimės efekto teorinės interpretacijos neuroekonomikoje
Tauraitė, V. (2018) · Regional Formation and Development Studies · doi:10.15181/rfds.v25i2.1747 · Cited by 2
Measuring Price Risk Aversion through Indirect Utility Functions: A Laboratory Experiment
Zeytoon-Nejad, A. (2022) · Games · doi:10.3390/g13040056 · Cited by 2
“Some scholars including psychologists and neuroscientists (e.g., Tom et al., 2007 [24]; De Martino et al., 2010 [25]; and Canessa et al., 2013 [26]) have studied the structural neural basis of loss aversion in decision-making under risk, based on Kahneman and Tversky’s prospect theory.”
BackgroundFunctional brain network properties correlate with individual risk tolerance in young adults
Jung, W. H. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e35873 · Cited by 2
Exploring aversion loss: a theoretical perspective over behavioral positive and negative markers
Marcu, R., Rad, G., & Rad, D. (2024) · Technium Social Sciences Journal · doi:10.47577/tssj.v60i1.11489 · Cited by 4
Reichert, R. A., Andrade, F. R. T., Fontelles, M., Reichert, N. C. M., de Almeida, R. M. M., & de MICHELI, D. (2025) · Springer eBooks · doi:10.1007/978-3-031-87986-9_6 · Cited by 2
Reasons and biological causes. Some reflections on Boudon’s Theory of Ordinary Rationality
Medina, F. J. L. (2014) · Papers Revista de Sociologia · doi:10.5565/rev/papers.2091 · Cited by 2
“0910230107> De Waal, F. B. M. (1996). Good natured: The origins of right and wrong in humans and other animals.”
BackgroundThe interaction between emotion and economic decision-making
Charpentier, C. J. (2016) · UCL Discovery (University College London) · Cited by 2
Aquino, T. G., Courellis, H. S., Mamelak, A. N., Rutishauser, U., & O’Doherty, J. P. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.10.528055 · Cited by 2
The Welfare Economics of Reference DependencePreprint
Reck, D., & Seibold, A. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4491224 · Cited by 2
Circadian photoreception influences loss aversion
Lander, A. C., Burge, M. T., Thomas, B. G., Phillips, A. J. K., McGlashan, E. M., & Cain, S. W. (2025) · Scientific Reports · doi:10.1038/s41598-025-97370-z · Cited by 1
“Previous work has found an association between reduced amygdala response to loss and emotional regulation strategies, including reappraisal (i.e., reframing how individuals think about outcomes) 22,32 , with damage to the amygdala reducing loss aversion 33 .”
Oxytocin restores context-specific hyperaltruistic preference
Zhang, H., Ni, Y., & Li, J. (2024) · eLife · doi:10.7554/elife.102756.3 · Cited by 1
Tang, J., Zhu, X., & Liu, J. (2025) · International Journal of Tourism Research · doi:10.1002/jtr.70159 · Cited by 1
Behavioral Biases in Investment Decisions
Nahidi, N. (2026) · Contributions to finance and accounting · doi:10.1007/978-3-032-18109-1_3 · Cited by 1
Mapping the functional neurocognitive correlates of loss aversion: A coordinate-based meta-analysis
Arioli, M., Colletti, M. P. M., Cattaneo, Z., & Canessa, N. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106937 · Cited by 1
Moreira, B. C. D. M. (2012) · Cited by 1
Report The Human Amygdala and the Induction and Experience of Fear
Feinstein, J. S., Adolphs, R., Damásio, A. R., & Tranel, D. (2011) · Cited by 1
Self-citationThe contribution of prefrontal-subcortical circuitry to risk-based decision making
St. Onge, J. R. (2012) · Open Collections · doi:10.14288/1.0072501 · Cited by 1
“Moreover, subjects with focal bilateral amygdala damage show a dramatic reduction in loss aversion compared to matched controls (De Martino et al., 2010), which is consistent with the amgydala’s role in response inhibition to fear reducing stimuli (Delgado et al., 2008).”
ResultMonoamines and Decision-Making Under Risks
Takahashi, H. (2016) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-642-35923-1_5 · Cited by 1
Emotions in a repeated Cournot duopoly game: A psychophysiological experiment.
Leppänen, I., & Hämäläinen, R. P. (2017) · Journal of Neuroscience Psychology and Economics · doi:10.1037/npe0000069 · Cited by 1
“It has been suggested that loss aversion has deep evolutionary origins in the emotional system of the brain, mainly in the amygdala (Camerer, 2005; De Martino et al., 2010).”
Predicting Emotional Reactions
Sharot, T. (2011) · Elsevier eBooks · doi:10.1016/b978-0-12-381431-9.00003-6 · Cited by 1
The Neural Correlates of Decision-Making: Review and Research Agenda
Sharda, K. (2018) · Springer eBooks · doi:10.1007/978-981-13-1894-8_13 · Cited by 1
Lin, H., Yang, J., & Hu, J. (2023) · Current Psychology · doi:10.1007/s12144-023-04668-0 · Cited by 1
“However, under loss situations, anxiety is also suggested to be associated with loss aversion (De Martino et al., 2010).”
Decomposing loss aversion from a single neural signal
Wang, R., Wang, X., Platt, M. L., & Sheng, F. (2024) · iScience · doi:10.1016/j.isci.2024.110153 · Cited by 3
Neukam, P. T., Müller, D. K., Deza-Lougovski, Y. I., Pooseh, S., Witt, S. H., Rietschel, M., & Smolka, M. N. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25126666 · Cited by 1
Achieving safety: Personal, private, and public provision
Perotti, E. C., & Terovitis, S. (2025) · Journal of Economic Theory · doi:10.1016/j.jet.2025.105962 · Cited by 1
Molina, M. G., Caicedo-Mera, J. C., Becerra, L. C., López, C. C. G., Cotrina, J. A. M., & Aponte-Canencio, D. M. (2024) · Innovar · doi:10.15446/innovar.v34n94.116813 · Cited by 1
“Research has shown that this method is significantly correlated with more complex elicitation methods while providing less noisy estimates and being easier for participants with lower mathematical abilities to understand (Charness et al ., 2013; Dave et al ., 2010; Reynaud & Couture, 2012).”
Neuroscience and Consumer Finance
Cummings, B. F., & Guillemette, M. A. (2016) · Springer eBooks · doi:10.1007/978-3-319-28887-1_27 · Cited by 1
fMRI in Economics: What Functional Imaging of the Brain Can Add to Behavioral Economics Experiments
Kodaverdian, N. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813092-6.00005-8 · Cited by 1
Nuostolių baimės efekto problematika
Tauraitė, V. (2018) · Socialinis ugdymas · doi:10.15823/su.2018.21 · Cited by 1
Why do people reject mixed gambles
Zhao, W. J., Walasek, L., & Bhatia, S. (2018) · Cognitive Science · Cited by 1
EFFECTS OF LOSS AVERSION ON THE EVALUATION OF DECISION OUTCOMES
Kokmotou, A. (2019) · University of Liverpool · doi:10.17638/03046759 · Cited by 1
“Further support for the role of the amygdala in loss aversion comes from a study with individuals with bilateral amygdala lesions (De Martino et al., 2010).”
BackgroundDynamic estimation of risk preferences: behavioral and neuroeconomic study
Chernov, G., Ladonovskaya, K., Rydych, P., & Belianin, A. V. (2022) · International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) · doi:10.1109/sibircon56155.2022.10017070 · Cited by 1
“Neural bases of decision making under risk was studied in[5], revealing the importance of various parts of the brain in risky decisions [6].”
BackgroundSelecting Anxiety: The Central Extended Amygdala as an Arbiter of Emotion-Relevant Responses
Holley, D., & Fox, D. (2025) · Springer eBooks · doi:10.1007/978-3-031-77967-1_5 · Cited by 1
Neuroimaging of Economic Decision-Making
Malecek, N. J., & Schönberg, T. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00262-1 · Cited by 2
Neuroeconomic Perspectives on the Potent but Inconsistent Motivations Characteristic of Addiction
Melrose, A. J., Hsu, E., & Monterosso, J. R. (2015) · Wiley eBooks · doi:10.1002/9781118472415.ch19 · Cited by 1
Dopaminergic drugs decrease loss aversion in Parkinson’s disease with but not without depressionPreprint
Timmer, M. H. M., Sescousse, G., Esselink, R. A. J., Piray, P., & Cools, R. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/069047 · Cited by 1
“We also assumed no subjective transformation of probabilities as described in Prospect Theory and thus assumed equal weights for the 0.5 probability of gains and losses (Tom et al., 2007; De Martino et al., 2010).”
MethodResultInfluentialThe Evolution of Systemic Approaches to Children and Adolescents
Wampler, R. S. (2020) · Wiley eBooks · doi:10.1002/9781119438519.ch34 · Cited by 1
Meet me in the middle: brain-behavior mediation analysis for fMRI experimentsPreprint
Brochard, J., & Jean Daunizeau, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.17.343798 · Cited by 1
“Now, in the context of decisions under risk, automatic fear responses may induce a default tendency to reject risky gambles, eventually yielding loss aversion (Martino et al., 2006, 2010).”
BackgroundThe role of feedback in risk-sensitivityPreprint
Dan, O., & Loewenstein, Y. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/b52ps · Cited by 1
Huynh, A. N. Q., & Huynh, T. L. D. (2021) · Journal of risk and financial management · doi:10.3390/jrfm14060262 · Cited by 1
“…the degree of loss aversion generally varies (Schmidt and Traub 2002; Vendrik and Woltjer 2007; Tanaka et al. 2010) and it mainly depends on psychological factors and emotion (Ariely et al. 2005; Lerner et al. 2004; De Martino et al. 2010; Novemsky and Kahneman 2005; Sokol-Hessner et al. 2009).”
BackgroundPark, K. F., & Shapira, Z. (2018) · Palgrave Macmillan UK eBooks · doi:10.1057/978-1-137-00772-8_250 · Cited by 1
Navigating Motivation: A Semantic and Subjective Atlas of 7 MotivesPreprint
Chierchia, G., Przyrembel, M., Lesemann, F. H. P., Bosworth, S., Snower, D. J., & Singer, T. (2018) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/wjhmq · Cited by 3
redacció, E. D. (2014) · Papers Revista de Sociologia · doi:10.5565/rev/papers.2158 · Cited by 1
Absolute and relative stability of loss aversion across contextsPreprint
Spektor, M. S., Kellen, D., Rieskamp, J., & Klauer, K. C. (2023) · doi:10.31234/osf.io/cwm2s · Cited by 1
Loss avoidance can increase and decrease cooperationPreprint
Kuper-Smith, B. J., & Korn, C. W. (2023) · doi:10.31234/osf.io/4me3h · Cited by 1
Percepção de dor, atenção visual e aversão a risco financeiro na tomada de decisão.
Brizante, J. G. (2014) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.42.2014.tde-13082014-145816
NEURAL MECHANISMS OF EMOTIONAL REGULATION AND DECISION MAKING
Gospic, K. A. M. (2011) · Figshare
Essays on decision making by children and adults on the autistic spectrum
Balatel, A. (2014) · ARCA (Università Ca' Foscari Venezia)
Are the Disabled Less Loss Averse? New Evidence from the Housing MarketPreprint
Arbel, Y., Ben‐Shahar, D., & Gabriel, S. A. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2263398
Hedonic Utility, Loss Aversion and Moral Hazard
Iantchev, E. P. (2010) · Foundations and Trends® in Microeconomics · doi:10.1561/0700000041
Why do Agents Make Suboptimal Economic Decision? An MRI Experimental Analysis of Loss Aversion
Kljajić, M. (2014) · uO Research (University of Ottawa)
ECONOMÍA MATERIAL: CUERPO Y CEREBRO
Alonso, S. (2012) · RePEc: Research Papers in Economics
Asset allocation under disappointment aversion
Xie, Y. (2015) · University of Liverpool · doi:10.17638/02005780
INDIVIDUAL DIFFERENCES IN EMOTION AND DECISION- MAKING
Heilman, R. M. (2011)
Decision making mediated by time and probability in rats prenatally exposed to ethanol
Johann, S. P. (2011) · Americanae (AECID Library)
Anxiety and Decision-Making: A Neuroeconomic View
Liu, Z., Mu, S., Liu, T., & Han, J. (2014)
Vestigial Reference PointsPreprint
Green, E. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2530623
Anxiety and Decision-Making: A Neuroeconomic View
刘, 振. (2014) · Advances in Psychology · doi:10.12677/ap.2014.44086
Money, Sex and Self-Control: Predicting the Disposition Effect?Preprint
Mintoft, B., Buetow, S., Callaghan, K., Kydd, R. R., & Sollers, J. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2136765
PERCEPÇÃO DE DOR, ATENÇÃO VISUAL E AVERSÃO A RISCO FINANCEIRO NA TOMADA DE DECISÃO
Baldo, M. V. C. (2014)
The Basal Ganglia and Decision-Making in Neuropsychiatric Disorders
Tinaz, S., & Stern, C. E. (2016) · Innovations in cognitive neuroscience · doi:10.1007/978-3-319-42743-0_15
La neuroéconomie : quelques éclairages sur un nouveau genre disciplinaire
Aimar, T. (2017) · L Actualité économique · doi:10.7202/1039884ar · Cited by 1
Does uncertainty involved in monetary acquisition affect risky decisions for others?
Ueshima, A., & Kameda, T. (2017) · The Japanese journal of psychology · doi:10.4992/jjpsy.88.16328
Nuostolių baimės efekto pritaikymo galimybės
Tauraitė, V. (2018) · Regional Formation and Development Studies · doi:10.15181/rfds.v26i3.1816
Rat Model of Pre-Motor Parkinson's Disease: Behavioral and MRI Characterization.
Rane, P. (2011) · Digital WPI
The signal for good news and value of information in human choice behavior
Sawalha, J. (2018) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r3q23rg31
Nuostolių baimės efekto kompleksinė analizė
Tauraitė, V. (2019) · Regional Formation and Development Studies · doi:10.15181/rfds.v29i3.2002
Modelling the Integration of Costs and Benefits During Decision Making
Icho, M., Thilakarathne, D. J., & Jan Treur, A. (2021) · Studies in computational intelligence · doi:10.1007/978-3-030-75583-6_22
Using Research on Neuroeconomics Games in School Leaders’ Decision-Making Training
Wang, Y. (2020) · Digital Archive @ GSU
Primate anterior insular cortex represents economic decision variables postulated by Prospect theoryPreprint
Yang, Y.-P., Li, X., & Stuphorn, V. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.12.380758
Avaliação multimétodos da tomada de decisão, regulação emocional e personalidade em jovens adultos
Pinto, A. L. D. C. B. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.59.2020.tde-11122020-154944 · Cited by 1
Serotonergic neural network related to behavioral inhibition systemPreprint
Kojima, K., Hirano, S., Kimura, Y., Seki, C., Ikoma, Y., Takahata, K., Ito, T., Yokokawa, K., Hashimoto, H., Kawamura, K., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.09.451787
Pursiainen, C., & Forsberg, T. (2021) · Springer eBooks · doi:10.1007/978-3-030-79887-1_3
Metadata
- Authors
- De Martino, B., Camerer, C. F., & Adolphs, R.
- Affiliations
- California Institute of Technology, Pasadena, CA 91125; and
- California Institute of Technology (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2010-02-23
- Volume
- 107
- Issue
- 8
- Pages
- 3788-3792
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2840433
- OpenAlex
- W2131236995
- Cited by
- 444
- References
- 46
- Citations by year
- 2026: 11 · 2025: 23 · 2024: 20 · 2023: 23 · 2022: 20 · 2021: 29 · 2020: 33 · 2019: 35 · 2018: 35 · 2017: 32 · 2016: 29 · 2015: 28 · 2014: 35 · 2013: 31 · 2012: 23
- FWCI
- 19.61
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust
- National Institute of Mental Health (R01MH080721)
- National Institute of Neurological Disorders and Stroke (P01NS019632)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
- Keywords
- loss aversion, amygdala, monetary gambles, risk aversion, expected value, neuroeconomics, behavioral economics
- MeSH terms
- Adult, Amygdala, Female, Gambling, Humans, Middle Aged
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