Evidence map›Paper›PMID 37015952›Full record

ArticleScientific reports2023

Risk taking for potential losses but not gains increases with time of day.

Rachel L Bedder, Matilde M Vaghi, Raymond J Dolan, Robb B Rutledge

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Review
  3. How Outcome Framing and Feedback Influence Decision Patterns over Time.Behavioral sciences (Basel, Switzerland) · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Smartphones and the Neuroscience of Mental Health.Annual review of neuroscience · 2021
    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

4 authors.

Rachel L BedderMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK. rlbedder@princeton.edu.
Matilde M VaghiMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK.
Raymond J DolanMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK.
Robb B RutledgeMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Remote computational phenotyping of behavioral and affective dynamics in major depressionR01MH124110 · NIMH · YALE UNIVERSITY · PI RUTLEDGE, ROBB BROOKS · 2020 to 2024
$4.0M
Medical Research Council MR/N02401X/1NCATS NIH HHS UL1 TR001863NIMH NIH HHS R01 MH124110Wellcome TrustWellcome Trust 098362/Z/12/ZWellcome Trust 203147/Z/16/Z
6 · The paper itself

Abstract

Humans exhibit distinct risk preferences when facing choices involving potential gains and losses. These preferences are believed to be subject to neuromodulatory influence, particularly from dopamine and serotonin. As neuromodulators manifest circadian rhythms, this suggests decision making under risk might be affected by time of day. Here, in a large subject sample collected using a smartphone application, we found that risky options with potential losses were increasingly chosen over the course of the day. We observed this result in both a within-subjects design (N = 2599) comparing risky options chosen earlier and later in the day in the same individuals, and in a between-subjects design (N = 26,720) showing our effect generalizes across ages and genders. Using computational modelling, we show this diurnal change in risk preference reflects a decrease in sensitivity to increasing losses, but no change was observed in the relative impacts of gains and losses on choice (i.e., loss aversion). Thus, our findings reveal a striking diurnal modulation in human decision making, a pattern with potential importance for real-life decisions that include voting, medical decisions, and financial investments.

Indexed as

Decision MakingRisk-TakingComputer SimulationDopamineFemaleHumansInvestmentsMaleDopamine

Identifiers

PMID37015952
PMCPMC10073197

What OpenQuestion holds

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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.