Evidence map›Paper›PMID 29373590›Full record

ArticlePloS one2018

Risk preferences impose a hidden distortion on measures of choice impulsivity.

Silvia Lopez-Guzman, Anna B Konova, Kenway Louie, Paul W Glimcher

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
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  11. A Neuroeconomics Approach to Obesity.Biological psychiatry · 2022
    Review
  12. Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges.Wiley interdisciplinary reviews. Cognitive science · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Silvia Lopez-GuzmanCenter for Neural Science, New York University, New York, United States of America.ORCID 0000-0003-0271-3576
Anna B KonovaCenter for Neural Science, New York University, New York, United States of America.
Kenway LouieCenter for Neural Science, New York University, New York, United States of America.
Paul W GlimcherCenter for Neural Science, New York University, New York, United States of America.

Funding

Vision Core Grant- Design and Fabrication ModuleP30EY013079 · NEI · NEW YORK UNIVERSITY · PI MOVSHON, J ANTHONY · 2000 to 2025
$14.2M
Training Systems and Integrative NeuroscienceT32MH019524 · NIMH · NEW YORK UNIVERSITY · PI KIORPES, LYNNE · 1992 to 2025
$5.2M
Adaptation in decision circuits: temporal history and the efficiency of choiceR01MH104251 · NIMH · NEW YORK UNIVERSITY · PI LOUIE, KENWAY · 2015 to 2019
$1.9M
Neural Mechanisms of Cost and Benefit Integration During Decision-MakingR01DA038063 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GLIMCHER, PAUL W · 2014 to 2018
$1.7M
Neuroeconomic investigation of craving in opioid addictionF32DA039648 · NIDA · NEW YORK UNIVERSITY · PI KONOVA, ANNA BORISOVA · 2015 to 2017
$164k
NEI NIH HHS P30 EY013079NIDA NIH HHS F32 DA039648NIDA NIH HHS R01 DA038063NIMH NIH HHS R01 MH104251NIMH NIH HHS T32 MH019524
6 · The paper itself

Abstract

Measuring temporal discounting through the use of intertemporal choice tasks is now the gold standard method for quantifying human choice impulsivity (impatience) in neuroscience, psychology, behavioral economics, public health and computational psychiatry. A recent area of growing interest is individual differences in discounting levels, as these may predispose to (or protect from) mental health disorders, addictive behaviors, and other diseases. At the same time, more and more studies have been dedicated to the quantification of individual attitudes towards risk, which have been measured in many clinical and non-clinical populations using closely related techniques. Economists have pointed to interactions between measurements of time preferences and risk preferences that may distort estimations of the discount rate. However, although becoming standard practice in economics, discount rates and risk preferences are rarely measured simultaneously in the same subjects in other fields, and the magnitude of the imposed distortion is unknown in the assessment of individual differences. Here, we show that standard models of temporal discounting -such as a hyperbolic discounting model widely present in the literature which fails to account for risk attitudes in the estimation of discount rates- result in a large and systematic pattern of bias in estimated discounting parameters. This can lead to the spurious attribution of differences in impulsivity between individuals when in fact differences in risk attitudes account for observed behavioral differences. We advance a model which, when applied to standard choice tasks typically used in psychology and neuroscience, provides both a better fit to the data and successfully de-correlates risk and impulsivity parameters. This results in measures that are more accurate and thus of greater utility to the many fields interested in individual differences in impulsivity.

Indexed as

Choice BehaviorImpulsive BehaviorRisk-TakingAdultAttitudeFemaleHumansMaleMiddle AgedTime Factors

Identifiers

PMID29373590
PMCPMC5786295

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.