Evidence map›Paper›PMID 30966919›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019

Computational psychiatry of impulsivity and risk: how risk and time preferences interact in health and disease.

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

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Risk taking and impulsive behaviour: fundamental discoveries, theoretical perspectives and clinical implications.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
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

3 authors.

Silvia Lopez-Guzman1 Center for Neural Science, New York University , New York, NY 10003 , USA.
Anna B Konova1 Center for Neural Science, New York University , New York, NY 10003 , USA.
Paul W Glimcher1 Center for Neural Science, New York University , New York, NY 10003 , USA.

Funding

Computational neuroeconomic models of addiction: quantifying progression and treatment in opioid use disorderR01DA043676 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GLIMCHER, PAUL W, ROTROSEN, JOHN P · 2017 to 2021
$2.1M
NIDA NIH HHS R01 DA043676
6 · The paper itself

Abstract

Choice impulsivity is an important subcomponent of the broader construct of impulsivity and is a key feature of many psychiatric disorders. Choice impulsivity is typically quantified as temporal discounting, a well-documented phenomenon in which a reward's subjective value diminishes as the delay to its delivery is increased. However, an individual's proclivity to-or more commonly aversion to- risk can influence nearly all of the standard experimental tools available for measuring temporal discounting. Despite this interaction, risk preference is a behaviourally and neurobiologically distinct construct that relates to the economic notion of utility or subjective value. In this opinion piece, we discuss the mathematical relationship between risk preferences and time preferences, their neural implementation, and propose ways that research in psychiatry could, and perhaps should, aim to account for this relationship experimentally to better understand choice impulsivity and its clinical implications. This article is part of the theme issue 'Risk taking and impulsive behaviour: fundamental discoveries, theoretical perspectives and clinical implications'.

Indexed as

Delay DiscountingImpulsive BehaviorRewardRisk-TakingHumansMental DisordersModels, PsychologicalTime Factorschoice impulsivitydelay discountingeconomic modelsfunctional MRIpsychiatryrisk

Identifiers

PMID30966919
PMCPMC6335456

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.