Evidence map›Paper›PMID 34128464›Full record

ArticleeLife2021

The temporal representation of experience in subjective mood.

Hanna Keren, Charles Zheng, David C Jangraw, Katharine Chang, Aria Vitale, Robb B Rutledge, Francisco Pereira, Dylan M Nielson, Argyris Stringaris

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Naturalistic reinforcement learning.Trends in cognitive sciences · 2024
    Review
  7. Article
  8. Computational models of subjective feelings in psychiatry.Neuroscience and biobehavioral reviews · 2023
    Review
  9. Article
  10. A longitudinalJournal of neurology · 2022
    Article
  11. Review
  12. Article
  13. Sources of normativity in childhood depression.European child & adolescent psychiatry · 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

9 authors at 2 institutions in 2 countries.

Hanna KerenSection of Clinical and Computational Psychiatry, National Institute of Mental Health, National Institutes of Health, Bethesda, United States.ORCID 0000-0003-4122-656X
Charles ZhengMachine Learning Team, National Institute of Mental Health, National Institutes of Health, Bethesda, United States.
David C JangrawEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, United States.
Katharine ChangSection of Clinical and Computational Psychiatry, National Institute of Mental Health, National Institutes of Health, Bethesda, United States.
Aria VitaleSection of Clinical and Computational Psychiatry, National Institute of Mental Health, National Institutes of Health, Bethesda, United States.
Robb B RutledgeDepartment of Psychology, Yale University, New Haven, United States.ORCID 0000-0001-7337-5039
Francisco PereiraMachine Learning Team, National Institute of Mental Health, National Institutes of Health, Bethesda, United States.
Dylan M Nielson *Section of Clinical and Computational Psychiatry, National Institute of Mental Health, National Institutes of Health, Bethesda, United States.
Argyris Stringaris *Section of Clinical and Computational Psychiatry, National Institute of Mental Health, National Institutes of Health, Bethesda, United States.
National Institutes of Health · USWellcome Centre for Human Neuroimaging · GB

Funding

Mood, Brain, and Development UnitZIAMH002957 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI STRINGARIS, ARGYRIOS · 2017 to 2022
$14.8M
Machine Learning TeamZICMH002968 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PEREIRA, FRANCISCO · 2018 to 2025
$13.9M
Remote computational phenotyping of behavioral and affective dynamics in major depressionR01MH124110 · NIMH · YALE UNIVERSITY · PI RUTLEDGE, ROBB BROOKS · 2020 to 2024
$4.0M
Intramural NIH HHS ZIA MH002957Medical Research Council MR/N02401X/1NIMH NIH HHS R01 MH124110
6 · The paper itself

Abstract

Humans refer to their mood state regularly in day-to-day as well as clinical interactions. Theoretical accounts suggest that when reporting on our mood we integrate over the history of our experiences; yet, the temporal structure of this integration remains unexamined. Here, we use a computational approach to quantitatively answer this question and show that early events exert a stronger influence on reported mood (a primacy weighting) compared to recent events. We show that a Primacy model accounts better for mood reports compared to a range of alternative temporal representations across random, consistent, or dynamic reward environments, different age groups, and in both healthy and depressed participants. Moreover, we find evidence for neural encoding of the Primacy, but not the Recency, model in frontal brain regions related to mood regulation. These findings hold implications for the timing of events in experimental or clinical settings and suggest new directions for individualized mood interventions.

Indexed as

Models, NeurologicalModels, PsychologicalAdultAffectComputational BiologyFemaleFrontal LobeHumansMagnetic Resonance ImagingMaleMemory, Short-TermMiddle AgedRewardanterior cingulate cortexcomputational psychiatryfMRIhumanmoodneuroscienceprimacy modelreward

Identifiers

PMID34128464
PMCPMC8241441
OpenAlexW3169806489

What OpenQuestion holds

Textmetadata
LicenceCC0
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.