Overlapping and Distinct Neural Systems Code for Subjective Value during Intertemporal and Risky Decision Making
Open accessAbstract
During decision making, valuation of different types of rewards may involve partially distinct neural systems, but efficient choice behavior requires a common neural coding of stimulus value. We addressed this issue by measuring neural activity with functional magnetic resonance imaging while volunteers processed delayed and probabilistic decision options. Behaviorally, participants discounted both types of rewards in a hyperbolic manner, and discount rates, reflecting individual preferences, varied considerably between participants. Ventral striatum and orbitofrontal cortex showed a domain-general coding of subjective value regardless of whether rewards were delayed or probabilistic, strongly implicating these regions in the implementation of a common neural currency of value. In contrast, fronto-polar and lateral parietal cortex, as well as a region in the posterior cingulate cortex only correlated with the value of delayed rewards, whereas superior parietal cortex and middle occipital areas only represented the value of probabilistic rewards. These results suggest a mechanism for the neural coding of subjective value in the human brain that is based on the combination of domain-general and domain-specific valuation networks.
AI snapshot
Written from the paper’s full text.
TL;DR
Using fMRI, the authors show that ventral striatum and orbitofrontal cortex code subjective value for both delayed and probabilistic rewards, while separate fronto-parietal/posterior cingulate and parietal/occipital systems code value specific to delay and probability, respectively. A second behavioral experiment found no systematic preference between delayed and probabilistic rewards of equal subjective value.
Key findings
- Behavior was well described by hyperbolic discounting: median R² was 0.81 for delay discounting (DD) and 0.93 for probability discounting (PD); model accuracy was 84.82 ± 8.27% for DD and 86.75 ± 6.59% for PD. Discount rates were stable over ~4 months (n = 13; DD r = 0.69, p = 0.009; PD r = 0.76, p = 0.0026) and between pretest and fMRI (n = 22; DD r = 0.78, p = 0.000019; PD r = 0.74, p = 0.00008).
- A domain-general value signal appeared in left ventral striatum (−8, 4, −8; z = 5.13; DD parameter estimate 3.12 ± 0.39, PD 2.95 ± 0.40) and right central OFC (26, 18, −16; z = 3.62; DD 1.68 ± 0.35, PD 1.51 ± 0.35); ventromedial PFC also emerged at a reduced uncorrected threshold (p < 0.005).
- Delay-specific value coding was found in posterior cingulate cortex (−2, −46, 32; z = 4.33), medial PFC/frontal pole (−8, 52, 16; z = 4.05), and bilateral lateral parietal cortex (left −58, −46, 36; z = 5.72; right 54, −42, 26; z = 4.98), with positive DD but near-zero/negative PD parameter estimates.
- Probability-specific value coding was most pronounced in right superior/inferior parietal lobule (42, −38, 44; z = 5.26) and left middle occipital gyrus (−48, −62, −10; z = 5.10); parameter estimates were positive for PD and below/near zero for DD (IPS: DD −0.85 ± 0.38, PD 2.92 ± 0.38; MOG: DD −0.11 ± 0.49, PD 3.49 ± 0.49). In experiment 2 (n = 18), participants were indifferent between delayed and probabilistic rewards at a value difference of −0.003, not significantly different from 0 (t(17) = −0.074, p = 0.942).
Methods
- Experiment 1 included 22 subjects (mean age 26.3 years; eight male) who completed behavioral pretests and then fMRI. During scanning they chose between a fixed immediate €20 reward and larger delayed or probabilistic offers; delay and probability trials were randomly intermixed, with 48 delay and 48 probability trials per session across two sessions (96 trials per condition per subject). One choice was randomly selected for real payment via Amazon gift certificate, averaging €30.1 (range €20–70).
- Experiment 2 included 18 participants (13 also in experiment 1) who made repeated choices between €20 available with a given delay and €20 available with a given probability.
- fMRI data were acquired on a 3 T Siemens TIM-TRIO and analyzed in SPM5 using a general linear model with a parametric regressor for subjective value (objective amount × subject-specific discount fraction), orthogonalized against inverse delay-to-reward/probability and reward amount. Second-level random-effects analyses used a flexible factorial design; thresholds were p < 0.05 corrected for multiple comparisons using spherical search volumes, and a conjunction analysis identified regions significant in both DD and PD.
Limitations
- The paper states that the posterior cingulate delay-specific finding warrants caution because other posterior cingulate parts showed probability-specific value coding and another study (Pine et al., 2009) did not observe posterior cingulate value signals during DD.
- The paper states that ventral striatum findings may reflect prediction error rather than value, and that value and prediction error are difficult to differentiate experimentally.
- The paper states that it had no specific a priori hypotheses regarding probability-specific networks, so those results focus on the most pronounced clusters; evident from the text, the fMRI findings are correlational and the paper itself notes that a common value signal is not a necessary prerequisite for adaptive decision making.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 26 cited sources checked · 0 supported · 0 flagged
- Findingown data
Discount rates showed good long-term stability between testing sessions conducted on average 119 days apart (DD r=0.69, p=0.009; PD r=0.76, p=0.0026).
“Discount rates were tested on average 119 d apart (range of 79 -210 d) and showed good stability between testing sessions (test-retest DD, r ϭ 0.69, p ϭ 0.009; PD, r ϭ 0.76, p ϭ 0.0026)”
Quote in the paperNot a substantial claim - Findingown data
Superior parietal cortex and middle occipital areas only represented the value of probabilistic rewards.
“superior parietal cortex and middle occipital areas only represented the value of probabilistic rewards.”
- Also stated in: § Subjective valuation during probability discounting · plain
“A subset of these regions showed significantly better correlations with subjective value during PD than during DD (Fig. 5, right) (supplemental Table 5, available at www.jneurosci.org as supplemental material), the most pronounced clusters being located in the right inferior/superior intraparietal lobule and left middle occipital gyrus.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Delayed and probabilistic rewards are equally valuable if their discounted value is the same.
- Also stated in: § Subjective valuation during probability discounting · plain
- Findingown data
Fronto-polar and lateral parietal cortex, as well as a region in the posterior cingulate cortex, only correlated with the value of delayed rewards.
“fronto-polar and lateral parietal cortex, as well as a region in the posterior cingulate cortex only correlated with the value of delayed rewards”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kable and Glimcher, 2007
Not checked in the free run.
- The authors state this as an assumption: Delayed and probabilistic rewards are equally valuable if their discounted value is the same.
- Findingown data
Ventral striatum and orbitofrontal cortex showed a domain-general coding of subjective value regardless of whether rewards were delayed or probabilistic.
“Ventral striatum and orbitofrontal cortex showed a domain-general coding of subjective value regardless of whether rewards were delayed or probabilistic”
- Also stated in: § A core network for subjective reward valuation · plain
“Left ventral striatum (Ϫ8, 4, Ϫ8; z value ϭ 5.13; mean Ϯ SEM parameter estimate: DD, 3.12 Ϯ 0.39; PD, 2.95 Ϯ 0.40) and right central OFC (26, 18, Ϫ16; z value ϭ 3.62; mean Ϯ SEM parameter estimate: DD, 1.68 Ϯ 0.35; PD, 1.51 Ϯ 0.35) coded for the subjective value of both delayed and probabilistic rewards”
Quote in the paperSubstantial claim- The authors state this as an assumption: Delayed and probabilistic rewards are equally valuable if their discounted value is the same.
- Also stated in: § A core network for subjective reward valuation · plain
- Findingown data
Participants discounted both delayed and probabilistic rewards in a hyperbolic manner.
“Behaviorally, participants discounted both types of rewards in a hyperbolic manner”
- Also stated in: § Behavioral data during fMRI · boosted
“Choice preferences during scanning were again well characterized by hyperbolic functions (median R 2 : DD, 0.81; PD, 0.93).”
Quote in the paperNot a substantial claim - Also stated in: § Behavioral data during fMRI · boosted
- Findingown data
Discount rates varied considerably between participants.
“discount rates, reflecting individual preferences, varied considerably between participants.”
- Also stated in: § Behavioral data during fMRI · plain
“Discount rates showed considerable between-subject variability [median (range) discount rates: DD, 0.007 (0.0003-0.061);PD, 4.232 (0.824 -17.999)]”
Quote in the paperNot a substantial claim - Also stated in: § Behavioral data during fMRI · plain
- Findingown data
Discount rates from a behavioral pretest shortly before fMRI were highly correlated with discount rates observed during fMRI (DD r=0.78, p=0.000019; PD r=0.74, p=0.00008).
“Across all subjects (n ϭ 22), discount rates from a behavioral pretest shortly before the fMRI session (median interval between this pretest and scanning was 4 d) were highly correlated with discount rates observed during fMRI (test-retest DD, r ϭ 0.78, p ϭ 0.000019; PD, r ϭ 0.74, p ϭ 0.00008)”
Quote in the paperSubstantial claim - Findingown data
Valuation signals were observed in the parietal cortex.
“we observed valuation signals in the parietal cortex.”
Quote in the paperSubstantial claim - Findingown data
Regions were identified in which value coding was specific for delayed or probabilistic rewards.
“Second, we also identified regions in which value coding was specific for delayed or probabilistic rewards”
Quote in the paperSubstantial claim - Findingown data
The hyperbolic discounting model accurately predicted participants' choices (DD accuracy 84.82 ± 8.27%, PD 86.75 ± 6.59%).
“The hyperbolic discounting model accurately predicted participants' choices (mean Ϯ SD accuracy: DD, 84.82 Ϯ 8.27%, one-sample t test vs chance, t (21) ϭ 48.01, p Ͻ 0.001; PD, 86.75 Ϯ 6.59%, one-sample t test vs chance, t (21) ϭ 61.75, p Ͻ 0.001)”
Quote in the paperSubstantial claim - Findingown data
Parameter estimates of subjective value regressor were positive for PD and below or ~0 for DD for IPS and MOG.
“Parameter estimates of the subjective value regressor were positive for PD and below or ϳ0 for DD, for both the IPS (mean Ϯ SEM parameter estimate: DD, Ϫ0.85 Ϯ 0.38; PD, 2.92 Ϯ 0.38) and MOG (mean Ϯ SEM parameter estimate: DD, Ϫ0.11 Ϯ 0.49; PD, 3.49 Ϯ 0.49).”
Quote in the paperSubstantial claim - Findingown data
Brain activity in posterior cingulate cortex, medial PFC/frontal pole, bilateral lateral parietal cortex, and left ventral striatum showed positive correlation with subjective value of delayed rewards.
“observing correlations with subjective value in posterior cingulate cortex [peak coordinates x, y, z (in mm): Ϫ2, Ϫ46, 32; z value ϭ 4.33], medial PFC/frontal pole (Ϫ8, 52, 16; z value ϭ 4.05), bilateral lateral parietal cortex (left: Ϫ58, Ϫ46, 36; z value ϭ 5.72; right: 54, Ϫ42, 26; z value ϭ 4.98), and left ventral striatum (Ϫ8, 4, Ϫ8; z value ϭ 5.29).”
Quote in the paperSubstantial claim - Findingown data
A subset of regions showed significantly better correlations with subjective value during PD than during DD, most pronounced in right inferior/superior intraparietal lobule and left middle occipital gyrus.
“A subset of these regions showed significantly better correlations with subjective value during PD than during DD (Fig. 5, right) (supplemental Table 5, available at www.jneurosci.org as supplemental material), the most pronounced clusters being located in the right inferior/superior intraparietal lobule and left middle occipital gyrus.”
Quote in the paperSubstantial claim - Findingown data
Reaction times were shorter for trials with higher-value options.
“RTs were shorter for trials with higher-value options.”
Quote in the paperNot a substantial claim - Findingown data
Regions in left ventral striatum and right OFC showed significant correlation with subjective value for both DD and PD.
“Regions in which the correlation with subjective value was significant (display threshold, p Ͻ 0.001, uncorrected) for both DD and PD in left ventral striatum (VS; a) and right OFC (b).”
Quote in the paperSubstantial claim - Findingown data
At a reduced uncorrected threshold of p<0.005, the conjunction also revealed activity in a region of ventromedial PFC.
“At a reduced uncorrected threshold of p Ͻ 0.005, this conjunction also revealed activity in a region of the ventromedial PFC (Ϫ4, 34, Ϫ6; z value ϭ 3.09; mean Ϯ SEM parameter estimate: DD, 1.27 Ϯ 0.36; PD, 1.27 Ϯ 0.36).”
Quote in the paperNot a substantial claim - Findingown data
The subjective value correlation was significantly greater for DD than PD in the same set of regions identified by Kable and Glimcher (2007), with the exception of the ventral striatum.
“Figure 4 (right) and supplemental Table 3 (available at www.jneurosci.org as sup-plemental material) show regions in which the subjective value correlation was significantly greater for DD than PD, and, with the exception of the ventral striatum, the same set of regions showed this pattern”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kable and Glimcher, 2007
Not checked in the free run.
- Findingown data
Subjective value correlated better with the fMRI data than reward magnitude, inverse delay-to-reward or reward probability alone, in all of the above mentioned regions from the primary GLM.
“Subjective value correlated better with the fMRI data than reward magnitude, inverse delay-to-reward or reward probability alone, in all of the above mentioned regions from the primary GLM”
Quote in the paperSubstantial claim - Findingown data
Accuracy of the hyperbolic model was comparable for DD and PD (paired t test, t(21)=-0.964, p=0.346).
“and accuracy was comparable for DD and PD (paired t test, t (21) ϭ Ϫ0.964, p ϭ 0.346).”
Quote in the paperNot a substantial claim - Findingown data
Left ventral striatum and right central OFC coded for the subjective value of both delayed and probabilistic rewards.
“Left ventral striatum (Ϫ8, 4, Ϫ8; z value ϭ 5.13; mean Ϯ SEM parameter estimate: DD, 3.12 Ϯ 0.39; PD, 2.95 Ϯ 0.40) and right central OFC (26, 18, Ϫ16; z value ϭ 3.62; mean Ϯ SEM parameter estimate: DD, 1.68 Ϯ 0.35; PD, 1.51 Ϯ 0.35) coded for the subjective value of both delayed and probabilistic rewards”
Quote in the paperSubstantial claim- The authors state this as an assumption: Delayed and probabilistic rewards are equally valuable if their discounted value is the same.
- Findingown data
The mean indifference point (-0.003) was not significantly different from 0 (t(17)=-0.074, p=0.942).
“which is not significantly different from 0 (one-sample t test against zero, t (17) ϭ Ϫ0.074, p ϭ 0.942)”
Quote in the paperSubstantial claim - Findingcitation
Peaks in the right superior parietal cortex and left middle occipital gyrus are close to regions implicated in processing numerosities and magnitudes regardless of format.
“the peaks in the right superior parietal cortex and the left middle occipital gyrus are remarkably close to regions implicated in a range of different tasks that involve the processing of numerosities and magnitudes, regardless of format of presentation (Pinel et al., 2004;Piazza et al., 2007)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Pinel et al., 2004
Not checked in the free run.
- cites Piazza et al., 2007
Not checked in the free run.
- Findingown data
A common system including ventral striatum and OFC coded for subjective value of both delayed and probabilistic monetary rewards.
“First, a common system including ventral striatum and OFC coded for subjective value of both delayed and probabilistic monetary rewards”
- Also stated in: § Discussion · plain
“Regions in which the correlation with subjective value was significant (display threshold, p Ͻ 0.001, uncorrected) for both DD and PD in left ventral striatum (VS; a) and right OFC (b).”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingcitation
The delay-specific posterior cingulate region overlaps with a region identified previously (Kable and Glimcher, 2007).
“The posterior cingulate region that we identified as delay specific overlaps with a region identified previously (Kable and Glimcher, 2007)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kable and Glimcher, 2007
Not checked in the free run.
- Findingown data
A common value signal was observed in ventromedial PFC, albeit at a reduced uncorrected threshold.
“and we also observed a common value signal in this region, albeit at a reduced uncorrected threshold.”
Quote in the paperSubstantial claim - Findingown data
Ventral striatum and OFC activity correlated with subject-specific estimates of stimulus value derived from a hyperbolic model of reward discounting.
“Ventral striatum and OFC activity correlated with subjectspecific estimates of stimulus value, derived from a hyperbolic model of reward discounting.”
Quote in the paperSubstantial claim - Findingown data
A similar set of regions, with exception of ventral striatum, showed better correlation with subjective value during PD than during DD, including intraparietal sulcus and middle occipital gyrus.
“A similar set of regions, with the exception of the ventral striatum, showed a better correlation with subjective value during PD than during DD, including the intraparietal sulcus and middle occipital gyrus (right).”
Quote in the paperSubstantial claim - Findingown data
Individual discount rates were highly stable over a time period of up to 4 months.
“Furthermore, individual discount rates were highly stable over a time period of up to 4 months.”
- Also stated in: § Discussion · plain
“Discount rates (k parameters) showed long-term stability across 4 months (n ϭ 13 subjects; a, delay discounting, p ϭ 0.009; c, probability discounting, p ϭ 0.0026)”
Quote in the paperNot a substantial claim - Also stated in: § Discussion · plain
- Findingown data
Regions in intraparietal sulcus, bilateral posterior parietal, prefrontal and inferior temporal cortices, as well as ventral striatum showed positive correlation with subjective value of probabilistic option.
“Regions of the intraparietal sulcus, bilateral posterior parietal, prefrontal and inferior temporal cortices, as well as the ventral striatum showed this pattern (left).”
Quote in the paperSubstantial claim - Findingown data
In experiment 2, participants were indifferent between delayed and probabilistic rewards at a subjective value difference of -0.003.
“The mean indifference point is depicted in Figure 7c, showing that participants were indifferent between delayed and probabilistic rewards at a value difference of Ϫ0.003”
Quote in the paperNot a substantial claim - Findingown data
A network of regions, most pronounced in right superior/inferior parietal lobule and left middle occipital gyrus, along with ventral striatum, correlated with subjective value during PD.
“Figure 5 (left) shows that a network of regions, the most pronounced being located in the right superior/inferior parietal lobule (42, Ϫ38, 44; z value ϭ 5.26) and the left middle occipital gyrus (Ϫ48, Ϫ62, Ϫ10; z value ϭ 5.10), along with ventral striatum (Ϫ8, 4, Ϫ8; z value ϭ 5.13), correlated with subjective value during PD”
Quote in the paperSubstantial claim - Findingown data
The frontal pole and a subregion of the posterior cingulate cortex have a specific role in coding for value in the context of delays.
“our results indicate a specific role of the frontal pole and a subregion of the posterior cingulate cortex in coding for value in the context of delays.”
Quote in the paperSubstantial claim - Premisenone given
Only two studies directly investigated the neural system representing the subjective value of discounted monetary rewards.
“Until now, only two studies directly investigated the neural system representing the subjective value of discounted monetary rewards (Kable and Glimcher, 2007;Pine et al., 2009)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Kable and Glimcher, 2007
Not checked in the free run.
- cites Pine et al., 2009
Not checked in the free run.
- Interpretationown data
The neural coding of subjective value in the human brain is based on a combination of domain-general and domain-specific valuation networks.
“These results suggest a mechanism for the neural coding of subjective value in the human brain that is based on the combination of domaingeneral and domain-specific valuation networks.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Delayed and probabilistic rewards are equally valuable if their discounted value is the same.
- Interpretationown data
Ventral striatum and orbitofrontal cortex are implicated in the implementation of a common neural currency of value.
“strongly implicating these regions in the implementation of a common neural currency of value.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Delayed and probabilistic rewards are equally valuable if their discounted value is the same.
- Interpretationown data
The stability of discount rates provides strong evidence for a trait-like stability of individual preferences.
“providing strong evidence for a trait-like stability of individual preferences (Ohmura et al., 2006;Kable and Glimcher, 2007;Ballard and Knutson, 2009).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Ohmura et al., 2006
Not checked in the free run.
- cites Kable and Glimcher, 2007
Not checked in the free run.
- cites Ballard and Knutson, 2009
Not checked in the free run.
- Interpretationown data
The network comprising left ventral striatum and right central OFC is strongly implicated in domain-general reward valuation.
“strongly implicating this network in domain-general reward valuation”
Quote in the paperSubstantial claim- The authors state this as an assumption: Delayed and probabilistic rewards are equally valuable if their discounted value is the same.
- Interpretationown data
The ventral striatum and OFC are part of an integrated system jointly supporting reward processing independent of the precise nature of the decision option being evaluated.
“the present findings show that the ventral striatum and OFC are part of an integrated system, jointly supporting reward processing in a manner that is independent of the precise nature of the decision option that is being evaluated.”
Quote in the paperSubstantial claim - Interpretationown data
The observation of extensive domain-specific valuation networks is in line with the hypothesis that distinct processes underlie delay discounting and probability discounting.
“The observation of these extensive domain-specific valuation networks is in line with the hypothesis that distinct processes underlie DD and PD (Green and Myerson, 2004).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Green and Myerson, 2004
Not checked in the free run.
- Interpretationown data
The domain-specific value coding effects are unlikely to be attributable to different intrinsic values associated with delayed and probabilistic rewards.
“and experiment 2 suggests that these effects are unlikely to be attributable to different intrinsic values associated with delayed and probabilistic rewards.”
Quote in the paperSubstantial claim - Interpretationcitation
These regions may show abstract coding of magnitudes.
“suggesting an abstract coding of magnitudes in these regions.”
Quote in the paperNot a substantial claim- Rests on an assumption: Only during probability discounting is it possible to compute expected values.
- Interpretationcitation
Different decision options may compete for behavioral control via a common neural value signal instantiated in ventral striatum and OFC.
“Our data furthermore suggest that such different decision options may compete for behavioral control via a common neural value signal instantiated in the ventral striatum and OFC (Hare et al., 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hare et al., 2008
Not checked in the free run.
- Interpretationown data
This supports interpreting the fMRI data in terms of subjective value rather than other aspects of the rewards.
“supporting our preference in interpreting the fMRI data in terms of subjective value rather than other aspects of the rewards.”
Quote in the paperSubstantial claim - Interpretationown data
The present findings suggest a possible mechanism for coding of subjective value in the human brain based on two distinct types of value signals.
“The present findings thus suggest a possible mechanism for the coding of subjective value in the human brain that is based on two distinct types of value signals.”
Quote in the paperSubstantial claim - Interpretationreasoning
Decision options from different domains may compete for neurocognitive resources through this common neural currency.
“through which decision options from different domains may compete for neurocognitive resources.”
Quote in the paperSubstantial claim - Interpretationown data
The common value system including ventral striatum and OFC provides the neural basis of a common neural currency of stimulus value.
“strongly implicating this network in providing the neural basis of a common neural currency of stimulus value.”
Quote in the paperSubstantial claim - Interpretationown data
The delay-specific regions may specifically integrate reward magnitude and delay (but not probability) into a neural code of subjective value.
“Our data, conversely, suggest that, over and above a possible role of these regions in mentally simulating impeding waiting times during intertemporal choice (Luhmann et al., 2008), these regions may specifically integrate reward magnitude and delay (but not probability) into a neural code of subjective value.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Luhmann et al., 2008
Not checked in the free run.
- Interpretationown data
Subjective value coding involves mechanisms specific to the type of decision option evaluated.
“On the one hand, subjective value coding involves mechanisms that are specific to the type of decision option that is evaluated.”
Quote in the paperSubstantial claim - Interpretationown data
Participants showed no systematic preference for either delayed or probabilistic rewards.
“indicating no systematic preference for either type of reward.”
Quote in the paperNot a substantial claim - Interpretationown data
The paper's data dissociate neural mechanisms of reward valuation into domain-specific and domain-general networks.
“Together, our data dissociate neural mechanisms of reward valuation into domain-specific and domain-general networks.”
Quote in the paperSubstantial claim - Interpretationcitation
The delay-specific regions overlap with a system implicated in episodic future thought.
“Nonetheless, the delay-specific regions overlap with a system implicated in episodic future thought (Addis et al., 2007;Schacter et al., 2007;Szpunar et al., 2007).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Addis et al., 2007
Not checked in the free run.
- cites Schacter et al., 2007
Not checked in the free run.
- cites Szpunar et al., 2007
Not checked in the free run.
- Interpretationown data
The individual propensity for participants to be impulsive or risk-averse was well preserved during fMRI.
“indicating that the individual propensity for participants to be impulsive or risk-averse was well preserved during fMRI.”
Quote in the paperSubstantial claim
- May combine two claims. 13
- Classified as probably not a substantial claim. 16
May combine two claims.
Findingown dataParticipants discounted monetary value over both time and probability in a hyperbolic manner.
“Behaviorally, our data show that participants discounted monetary value over both time and probability in a hyperbolic manner.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataReaction times were generally faster in higher value trials relative to lower and similar valued trials.
“reflecting the fact that RTs were generally faster in higher value trials relative to lower and similar valued trials.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThere was a negative but nonsignificant correlation between DD and PD discount rates (r=-0.24, p=0.28).
“there was a negative but nonsignificant correlation between the DD and PD discount rates (r ϭ Ϫ0.24, p ϭ 0.28).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe parameter estimate of the subjective value regressor was positive for DD, whereas it was approximately 0 for PD in both FP/mPFC and PCC.
“The parameter estimate of the subjective value regressor was positive for DD, whereas it was ϳ0 for PD in both FP/mPFC (mean Ϯ SEM parameter estimate: DD, 1.59 Ϯ 0.32; PD, Ϫ0.48 Ϯ 0.32) and PCC (mean Ϯ SEM parameter estimate: DD, 1.86 Ϯ 0.42; PD, Ϫ0.57Ϯ 0.42).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThere was a main effect of value on reaction times, with faster RTs in higher value trials relative to lower and similar valued trials.
“There was a main effect of value (F (1.912,40.161)ϭ 20.731,pϽ0.001)butnointeractionwithcondition(conditionϫvalueinteraction, F (1.947,40.161)ϭ 1.794, p ϭ 0.18), reflecting the fact that RTs were generally faster in higher value trials relative to lower and similar valued trials.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere was a main effect of value on reaction times (F(1.912,40.161)=20.731, p<0.001) but no interaction with condition.
“There was a main effect of value (F (1.912,40.161)ϭ 20.731,pϽ0.001)butnointeractionwithcondition(conditionϫvalueinteraction, F (1.947,40.161)ϭ 1.794, p ϭ 0.18)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataReaction times were comparable for the delay discounting and probability discounting conditions.
“Reaction times were comparable for the two conditions (mean Ϯ SD RT: DD, 791 Ϯ 86 ms; PD, 809 Ϯ 95 ms; main effect condition, F (1,21) ϭ 0.022, p ϭ 0.833).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataA more lateral parietal region coded for value during delay discounting, whereas a more superior parietal region coded for value during probability discounting, with minimal overlap.
“a more lateral parietal region coded for value during DD, whereas a more superior parietal region coded for value during PD, with minimal overlap.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDiscount rates showed stability between behavioral and fMRI sessions for delay discounting (p=0.00001) and probability discounting (p=0.00008).
“and between behavioral and fMRI sessions (n ϭ 22 subjects; b, delay discounting, p ϭ 0.00001; d, probability discounting, p ϭ 0.00008).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the present setting, domain-specific mechanisms included frontal pole, posterior cingulate subregion, and lateral parietal cortex for delayed rewards, and middle occipital gyrus and superior parietal cortex for probabilistic rewards.
“In the present setting, these mechanisms included frontal pole, a subregion of the posterior cingulate and lateral parietal cortex for the valuation of delayed rewards, and, among others, middle occipital gyrus and superior parietal cortex that were specific for the valuation of probabilistic rewards”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataReaction times were comparable for DD and PD conditions (DD 791 ± 86 ms; PD 809 ± 95 ms; main effect condition F(1,21)=0.022, p=0.833).
“Reaction times were comparable for the two conditions (mean Ϯ SD RT: DD, 791 Ϯ 86 ms; PD, 809 Ϯ 95 ms; main effect condition, F (1,21) ϭ 0.022, p ϭ 0.833).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDiscount rates (k parameters) showed long-term stability across 4 months for delay discounting (p=0.009) and probability discounting (p=0.0026).
“Discount rates (k parameters) showed long-term stability across 4 months (n ϭ 13 subjects; a, delay discounting, p ϭ 0.009; c, probability discounting, p ϭ 0.0026)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThere was no interaction between condition and value on reaction times.
“butnointeractionwithcondition(conditionϫvalueinteraction, F (1.947,40.161)ϭ 1.794, p ϭ 0.18)”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationThe subjective value of rewards declines in a hyperbolic manner with increasing delay-to-reward and decreasing reward probability.
“delay discounting (DD) and probability discounting (PD), referring to the phenomena that the subjective value of rewards declines in a hyperbolic manner with increasing delay-to-reward and decreasing reward probability.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Green and Myerson, 2004
Not checked in the free run.
- cites Kalenscher and Pennartz, 2008
Not checked in the free run.
May combine two claims.
PremisecitationDelayed and probabilistic rewards may be conceptually related because delay discounting may arise at least partly from the future being inherently more uncertain than the present.
“Also, delayed and probabilistic rewards may be conceptu-ally related (Hayden and Platt, 2007), because delay discounting may arise at least partly from the future being inherently more uncertain than the present (Rachlin et al., 1991).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Hayden and Platt, 2007
Not checked in the free run.
- cites Rachlin et al., 1991
Not checked in the free run.
May combine two claims.
PremisecitationActivity in ventromedial prefrontal cortex and striatum correlated with subjective value, whereas posterior cingulate activity was only observed in the study by Kable and Glimcher (2007).
“revealed that activity in ventromedial prefrontal cortex (PFC) and striatum correlated with subjective value, whereas posterior cingulate activity was only observed in the study by Kable and Glimcher (2007).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Kable and Glimcher, 2007
Not checked in the free run.
- cites Pine et al., 2009
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe frontal pole shows a positive correlation with the amount of details generated during future thinking.
“and shows a positive correlation with the amount of details generated during future thinking (Addis and Schacter, 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Addis and Schacter, 2008
Not checked in the free run.
May combine two claims.
Interpretationown dataVentral striatum and OFC coded for subjective value in a domain-general manner, integrating results from domain-specific valuation systems into a common neural currency of value.
“Ventral striatum and OFC coded for subjective value in a domaingeneral manner, integrating results from domain-specific valuation systems into a common neural currency of value”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataSubjects provided informed written consent.
“Subjects were reimbursed for participation and provided informed written consent”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study procedure was approved by the local ethics committee.
“the study procedure was approved by the local ethics committee.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing). May combine two claims.
PremisecitationPosterior cingulate and ventral striatum are more involved in intertemporal choices, whereas regions in posterior parietal cortex and lateral PFC are more involved in risky choices.
“another study (Weber and Huettel, 2008) suggested that posterior cingulate and ventral striatum are more involved in intertemporal choices, whereas regions in the posterior parietal cortex and lateral PFC are more involved in risky choices.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Weber and Huettel, 2008
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe frontal pole is more involved in elaboration of future scenarios than elaboration of past scenarios.
“the frontal pole is more involved in elaboration of future scenarios than elaboration of past scenarios (Addis et al., 2009)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Addis et al., 2009
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationActivity in posterior cingulate, frontal pole, and lateral parietal cortex increases with increasing anticipated delay until reward delivery.
“a recent study (Luhmann et al., 2008) that showed activity increases in posterior cingulate, frontal pole, and lateral parietal cortex with increasing anticipated delay until reward delivery.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Luhmann et al., 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenCorrection for multiple comparisons was performed using spherical search volumes centered at peak coordinates from previous studies.
“Correction for multiple comparisons was performed using spherical search volumes centered at peak coordinates from previous studies.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe parietal cortex plays a role in representing stimulus value, with possible differences as a function of decision option.
“Our data therefore confirm a role of the parietal cortex in representing stimulus value but suggest possible differences as a function of decision option.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe analysis used a threshold of p<0.05 corrected for multiple comparisons based on the familywise error rate.
“For all analyses, the threshold was set to p Ͻ 0.05 corrected for multiple comparisons (based on the familywise error rate).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTo account for residual variance caused by subject movement, the realignment parameters were included as additional regressors at the first level.
“To account for residual variance caused by subject movement, the realignment parameters were included as additional regressors at the first level.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
Delayed and probabilistic rewards are equally valuable if their discounted value is the same.
“Experiment 1 was based on the assumption that delayed and probabilistic rewards are equally valuable if their discounted value is the same.”
“To directly test this assumption, we conducted an additional behavioral experiment.”
The paper relies on this without support.
Only during probability discounting is it possible to compute expected values.
“Only during PD it is possible to compute expected values”
The paper relies on this without support.
Value and prediction errors are often highly correlated.
“Given that value and prediction errors are often highly correlated”
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?
The rank-order correlation of discounting rates is comparable to that of other psychological traits across test-retest intervals from 3 months to 4 years.
“the rank-order correlation of these discounting rates is comparable to other psychological traits across the 3-month to 4-year range of test-retest intervals explored thus far”
From Changing Delay Discounting and Impulsive Choice: Implications for Addictions, Prevention, and Human Health (2019) · cites this paper as Peters & Büchel, 2009
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.
Interaction ANOVA degrees of freedom do not match
MinorWith 22 subjects, the denominator degrees of freedom for this within-subject interaction should be 21 times the corrected numerator degrees of freedom: 1.947 × 21 = 40.887, not 40.161. The reported denominator instead matches the separate main effect of value.
Reported 40.161 · recomputed 40.887
“conditionϫvalueinteraction, F (1.947,40.161)ϭ 1.794, p ϭ 0.18”
Delay-discounting correlation has two different p-values
MinorThe Results report p = 0.000019 for the behavioral-to-fMRI delay-discounting correlation, while the Figure 2 caption reports p = 0.00001 for the same comparison.
“test-retest DD, r ϭ 0.78, p ϭ 0.000019; PD, r ϭ 0.74, p ϭ 0.00008”
“b, delay discounting, p ϭ 0.00001; d, probability discounting, p ϭ 0.00008”
Cites
Remembering the past to imagine the future: the prospective brain
Schacter, D. L., Addis, D. R., & Buckner, R. L. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2213 · Cited by 2,394 · cited 1× · see citing works
“Nonetheless, the delay-specific regions overlap with a system implicated in episodic future thought (Addis et al., 2007; Schacter et al., 2007; Szpunar et al., 2007).”
BackgroundAddis, D. R., Wong, A. T., & Schacter, D. L. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.10.016 · Cited by 1,949 · see citing works
Self-Control in Decision-Making Involves Modulation of the vmPFC Valuation System
Hare, T. A., Camerer, C. F., & Rangel, A. (2009) · Science · doi:10.1126/science.1168450 · Cited by 1,928 · see citing works
The neural correlates of subjective value during intertemporal choice
Kable, J. W., & Glimcher, P. W. (2007) · Nature Neuroscience · doi:10.1038/nn2007 · Cited by 1,916 · see citing works
Valid conjunction inference with the minimum statistic
Nichols, T. E., Brett, M., Andersson, J., Wager, T. D., & Poline, J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.005 · Cited by 1,885 · see citing works
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 · see citing works
Neural correlates of decision variables in parietal cortex
Platt, M. L., & Glimcher, P. W. (1999) · Nature · doi:10.1038/22268 · Cited by 1,721 · see citing works
A Discounting Framework for Choice With Delayed and Probabilistic Rewards.
Green, L., & Myerson, J. (2004) · Psychological Bulletin · doi:10.1037/0033-2909.130.5.769 · Cited by 1,676 · see citing works
Neurons in the orbitofrontal cortex encode economic value
Padoa-Schioppa, C., & Assad, J. A. (2006) · Nature · doi:10.1038/nature04676 · Cited by 1,598 · see citing works
Temporal difference models and reward-related learning in the human brain
O'Doherty, J. P., Dayan, P., Friston, K., Critchley, H., & Dolan, R. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00169-7 · Cited by 1,522 · see citing works
SUBJECTIVE PROBABILITY AND DELAY
Rachlin, H., Raineri, A., & Cross, D. (1991) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1991.55-233 · Cited by 1,341 · see citing works
Neural Predictors of Purchases
Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., & Loewenstein, G. (2007) · Neuron · doi:10.1016/j.neuron.2006.11.010 · Cited by 1,171 · see citing works
Marketing actions can modulate neural representations of experienced pleasantness
Plassmann, H., O'Doherty, J., Shiv, B., & Rangel, A. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706929105 · Cited by 1,122 · see citing works
Representation of Action-Specific Reward Values in the Striatum
Samejima, K., Ueda, Y., Doya, K., & Kimura, M. (2005) · Science · doi:10.1126/science.1115270 · Cited by 939 · see citing works
Orbitofrontal cortex and its contribution to decision-making.
Wallis, J. D. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.30.051606.094334 · Cited by 938 · see citing works
Temporal Prediction Errors in a Passive Learning Task Activate Human Striatum
McClure, S. M., Berns, G. S., & Montague, P. R. (2003) · Neuron · doi:10.1016/s0896-6273(03)00154-5 · Cited by 917 · see citing works
Beauty in a smile: the role of medial orbitofrontal cortex in facial attractiveness
O’Doherty, J., Winston, J., Critchley, H., Perrett, D., Burt, D. M., & Dolan, R. J. (2003) · Neuropsychologia · doi:10.1016/s0028-3932(02)00145-8 · Cited by 898 · see citing works
Orbitofrontal Cortex Encodes Willingness to Pay in Everyday Economic Transactions
Plassmann, H., O'Doherty, J., & Rangel, A. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2131-07.2007 · Cited by 855 · see citing works
A Magnitude Code Common to Numerosities and Number Symbols in Human Intraparietal Cortex
Manuela Piazza, A., Pinel, P., Bihan, D. L., & Dehaene, S. (2007) · Neuron · doi:10.1016/j.neuron.2006.11.022 · Cited by 827 · see citing works
Kringelbach, M. L. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.10.1064 · Cited by 824 · see citing works
Hare, T. A., O'Doherty, J., Camerer, C. F., Schultz, W., & Rangel, A. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.1309-08.2008 · Cited by 792 · see citing works
Neural substrates of envisioning the future
Szpunar, K. K., Watson, J. M., & McDermott, K. B. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610082104 · Cited by 784 · see citing works
Pinel, P., Manuela Piazza, A., Bihan, D. L., & Dehaene, S. (2004) · Neuron · doi:10.1016/s0896-6273(04)00107-2 · Cited by 695 · see citing works
Addis, D. R., Pan, L., Vu, M.-A. T., Laiser, N., & Schacter, D. L. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.10.026 · Cited by 600 · see citing works
Dissociable neural representations of future reward magnitude and delay during temporal discounting
Ballard, K., & Knutson, B. D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.004 · Cited by 450 · see citing works
Dorris, M. C., & Glimcher, P. W. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.009 · Cited by 428 · see citing works
Value Representations in the Primate Striatum during Matching Behavior
Lau, B., & Glimcher, P. W. (2008) · Neuron · doi:10.1016/j.neuron.2008.02.021 · Cited by 411 · see citing works
Gläscher, J., Hampton, A. N., & O'Doherty, J. P. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn098 · Cited by 387 · see citing works
Prediction error as a linear function of reward probability is coded in human nucleus accumbens
Abler, B., Walter, H., Erk, S., Kammerer, H., & Spitzer, M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.001 · Cited by 376 · see citing works
Amount of reward has opposite effects on the discounting of delayed and probabilistic outcomes.
Green, L., Myerson, J., & Ostaszewski, P. (1999) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.25.2.418 · Cited by 312 · see citing works
Visualization of Group Inference Data in Functional Neuroimaging
Gläscher, J. P. (2009) · Neuroinformatics · doi:10.1007/s12021-008-9042-x · Cited by 306 · see citing works
Neural Response to Reward Anticipation under Risk Is Nonlinear in Probabilities
Hsu, M., Krajbich, I. M., Zhao, C., & Camerer, C. F. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5296-08.2009 · Cited by 280 · see citing works
The Role of Human Orbitofrontal Cortex in Value Comparison for Incommensurable Objects
FitzGerald, T. H. B., Seymour, B., & Dolan, R. J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0717-09.2009 · Cited by 279 · see citing works
Addis, D. R., & Schacter, D. L. (2007) · Hippocampus · doi:10.1002/hipo.20405 · Cited by 275 · see citing works
Three-month stability of delay and probability discounting measures.
Ohmura, Y., Takahashi, T., Kitamura, N., & Wehr, P. (2006) · Experimental and Clinical Psychopharmacology · doi:10.1037/1064-1297.14.3.318 · Cited by 258 · see citing works
Is a bird in the hand worth two in the future? The neuroeconomics of intertemporal decision-making
Tobias Kalenscher, A., & Pennartz, C. M. A. (2007) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2007.11.004 · Cited by 222 · see citing works
Encoding of Marginal Utility across Time in the Human Brain
Pine, A., Seymour, B., Roiser, J. P., Bossaerts, P. L., Friston, K. J., Curran, H. V., & Dolan, R. J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1126-09.2009 · Cited by 201 · see citing works
Amount of reward has opposite effects on the discounting of delayed and probabilistic outcomes.
Green, L., Myerson, J., & Ostaszewski, P. (1999) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.25.2.418 · Cited by 199 · see citing works
The neural substrates of probabilistic and intertemporal decision making
Weber, B. J., & Huettel, S. A. (2008) · Brain Research · doi:10.1016/j.brainres.2008.07.105 · Cited by 179 · see citing works
The Neurobiology of Reference-Dependent Value Computation
De Martino, B., Kumaran, D., Holt, B., & Dolan, R. J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4832-08.2009 · Cited by 174 · see citing works
Neural Antecedents of the Endowment Effect
Knutson, B. D., Wimmer, G. E., Rick, S. I., Hollon, N. G., Prelec, D., & Loewenstein, G. F. (2008) · Neuron · doi:10.1016/j.neuron.2008.05.018 · Cited by 162 · see citing works
Neural Dissociation of Delay and Uncertainty in Intertemporal Choice
Luhmann, C. C., Chun, M. M., Yi, D.-J., Lee, D., & Wang, X. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5058-08.2008 · Cited by 150 · see citing works
Temporal Discounting Predicts Risk Sensitivity in Rhesus Macaques
Hayden, B. Y., & Platt, M. L. (2007) · Current Biology · doi:10.1016/j.cub.2006.10.055 · Cited by 147 · see citing works
Decision biases in intertemporal choice and choice under uncertainty: Testing a common account
Chapman, G. B., & Weber, B. J. (2006) · Memory & Cognition · doi:10.3758/bf03193582 · Cited by 48 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Model-based influences on humans’ choices and striatal prediction errors
Daw, N. D., Gershman, S. J., Seymour, B., Dayan, P., & Dolan, R. J. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.027 · Cited by 1,779 · see citing works
An opportunity cost model of subjective effort and task performance
Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12003196 · Cited by 1,381 · see citing works
The root of all value: a neural common currency for choice
Levy, D. J., & Glimcher, P. W. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.06.001 · Cited by 1,342 · see citing works
Peters, J., & Büchel, C. (2010) · Neuron · doi:10.1016/j.neuron.2010.03.026 · Cited by 871 · see citing works
Self-citationValue, pleasure and choice in the ventral prefrontal cortex
Grabenhorst, F., & Rolls, E. T. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.12.004 · Cited by 766 · see citing works
Informatic parcellation of the network involved in the computation of subjective value
Clithero, J. A., & Rangel, A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst106 · Cited by 706 · see citing works
The neural mechanisms of inter-temporal decision-making: understanding variability
Peters, J., & Büchel, C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.03.002 · Cited by 693 · see citing works
Self-citationNeurobiology of economic choice: a good-based model
Padoa-Schioppa, C. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113648 · Cited by 600 · see citing works
Separate Valuation Subsystems for Delay and Effort Decision Costs
Prévost, C., Pessiglione, M., Météreau, E., Cléry-Melin, M.-L., & Dreher, J.-C. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2752-10.2010 · Cited by 499 · see citing works
A neural mechanism mediating the impact of episodic prospection on farsighted decisions
Benoit, R. G., Gilbert, S. J., & Burgess, P. W. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.6559-10.2011 · Cited by 422 · see citing works
Neural representations of subjective reward value
Peters, J., & Büchel, C. (2010) · Behavioural Brain Research · doi:10.1016/j.bbr.2010.04.031 · Cited by 405 · see citing works
Self-citationNoreika, V., Falter, C. M., & Rubia, K. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.09.036 · Cited by 339 · see citing works
Episodic future thinking: expansion of the temporal window in individuals with alcohol dependence
Snider, S. E., LaConte, S. M., & Bickel, W. K. (2016) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.13112 · Cited by 241 · see citing works
Miedl, S. F. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1552 · Cited by 229 · see citing works
Remember the future II: Meta-analyses and functional overlap of working memory and delay discounting
Wesley, M. J., & Bickel, W. K. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.08.008 · Cited by 205 · see citing works
van den Bos, W., Rodriguez, C. A., Schweitzer, J. B., & McClure, S. M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4105-13.2014 · Cited by 178 · see citing works
Skvortsova, V., Palminteri, S., & Pessiglione, M. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1350-14.2014 · Cited by 177 · see citing works
Kim, C. K., Ye, L., Jennings, J. H., Pichamoorthy, N., Tang, D. D., Yoo, A.-C. W., Ramakrishnan, C., & Deisseroth, K. (2017) · Cell · doi:10.1016/j.cell.2017.07.020 · Cited by 145 · see citing works
Neural correlates of cognitive control in gambling disorder: a systematic review of fMRI studies
Moccia, L., Pettorruso, M., De Crescenzo, F., De Risio, L., di Nuzzo, L., Martinotti, G., Bifone, A., Janiri, L., & Di Nicola, M. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.04.025 · Cited by 158 · see citing works
TOWARDS A GENERAL MODEL OF TEMPORAL DISCOUNTING
van den Bos, W., & McClure, S. M. (2013) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.6 · Cited by 149 · see citing works
Peper, J. S., Mandl, R. C. W., Braams, B. R., de Water, E., Heijboer, A. C., Koolschijn, P. C. M. P., & Crone, E. A. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs163 · Cited by 144 · see citing works
Palombo, D. J., Keane, M. M., & Verfaellie, M. (2015) · Hippocampus · doi:10.1002/hipo.22376 · Cited by 145 · see citing works
Anterior hippocampus and goal-directed spatial decision making
Viard, A., Doeller, C. F., Hartley, T., Bird, C. M., & Burgess, N. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4640-10.2011 · Cited by 144 · see citing works
Separate and overlapping brain areas encode subjective value during delay and effort discounting
Massar, S. A. A., Libedinsky, C., Weiyan, C., Huettel, S. A., & Chee, M. W. L. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.080 · Cited by 123 · see citing works
Neural representation of expected value in the adolescent brain
Barkley-Levenson, E., & Galván, A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1319762111 · Cited by 114 · see citing works
A critical role for the hippocampus in the valuation of imagined outcomes
Lebreton, M., Bertoux, M., Boutet, C., Lehericy, S., Dubois, B., Fossati, P., & Pessiglione, M. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001684 · Cited by 114 · see citing works
Heightened aversion to risk and loss in depressed patients with a suicide attempt history
Baek, K., Kwon, J., Chae, J.-H., Chung, Y. A., Kralik, J. D., Min, J.-A., Huh, H., Choi, K. M., Jang, K.-I., Lee, N.-B., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-10541-5 · Cited by 98 · see citing works
Cue-Induced Craving Increases Impulsivity via Changes in Striatal Value Signals in Problem Gamblers
Miedl, S. F., Büchel, C., & Peters, J. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.5020-13.2014 · Cited by 87 · see citing works
Self-citationCservenka, A., Casimo, K., Fair, D. A., & Nagel, B. J. (2014) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2013.12.004 · Cited by 86 · see citing works
de Water, E., Cillessen, A. H. N., & Scheres, A. (2014) · Child Development · doi:10.1111/cdev.12245 · Cited by 80 · see citing works
Episodic future thinking is related to impulsive decision making in healthy adolescents
Bromberg, U., Wiehler, A., & Peters, J. (2015) · Child Development · doi:10.1111/cdev.12390 · Cited by 79 · see citing works
Self-citationMechanisms of impulsive choice: I. Individual differences in interval timing and reward processing
Marshall, A. T., Smith, A. P., & Kirkpatrick, K. (2014) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.88 · Cited by 75 · see citing works
Rung, J. M., Peck, S., Hinnenkamp, J. E., Preston, E., & Madden, G. J. (2019) · Perspectives on Behavior Science · doi:10.1007/s40614-019-00200-7 · Cited by 65 · see citing works
Neural mechanisms of economic choices in mice
Kuwabara, M., Kang, N., Holy, T. E., & Padoa-Schioppa, C. (2020) · eLife · doi:10.7554/elife.49669 · Cited by 56 · see citing works
Effects of prospective thinking on intertemporal choice: the role of familiarity
Sasse, L. K., Peters, J., Büchel, C., & Brassen, S. (2015) · Human Brain Mapping · doi:10.1002/hbm.22912 · Cited by 54 · see citing works
Self-citationAlves, M. B., Dalle Molle, R., Desai, M., Ross, M. G., & Silveira, P. P. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.03.019 · Cited by 45 · see citing works
Patros, C. H. G., Alderson, R. M., Hudec, K. L., Tarle, S. J., & Lea, S. E. (2017) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2016.09.008 · Cited by 29 · see citing works
Dorsolateral caudate nucleus differentiates cocaine from natural reward-associated contextual cues
Liu, H.-S., Chefer, S., Lu, H., Guillem, K., Rea, W., Kurup, P., Yang, Y., Peoples, L., & Stein, E. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1207531110 · Cited by 23 · see citing works
Now or not-now? The influence of alexithymia on intertemporal decision-making
Scarpazza, C., Sellitto, M., & di Pellegrino, G. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2017.03.001 · Cited by 21 · see citing works
- Authors
- Peters, J., & Büchel, C.
- Affiliations
- University Medical Center Hamburg-Eppendorf (DE)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-12-16
- Volume
- 29
- Issue
- 50
- Pages
- 15727-15734
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6666169
- OpenAlex
- W1975745304
- Semantic Scholar
- 19672dd273a1a114357e1a0aff843f2ca9ee2e3d
- Cited by
- 400
- References
- 44
- Citations by year
- 2026: 12 · 2025: 9 · 2024: 12 · 2023: 22 · 2022: 19 · 2021: 15 · 2020: 69 · 2019: 18 · 2018: 19 · 2017: 30 · 2016: 19 · 2015: 29 · 2014: 39 · 2013: 29 · 2012: 29
- FWCI
- 9.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- subjective value, intertemporal choice, risky decision making, delay discounting, hyperbolic discounting, probabilistic reward, ventral striatum, orbitofrontal cortex, posterior cingulate cortex, parietal cortex, reward valuation
- MeSH terms
- Adult, Choice Behavior, Decision Making, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Psychomotor Performance, Reward, Risk-Taking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review