Evidence map›Paper›PMID 31082477›Full record

ReviewBehavioural processes2019

Quantity versus quality: Convergent findings in effort-based choice tasks.

Evan E Hart, Alicia Izquierdo

Abstract readReview
In one paragraph

Review in Behavioural processes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. eLife · 2025
    Article
  2. Article
  3. Article
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  5. Article
  6. Review
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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

2 authors.

Evan E HartDepartment of Psychology, University of California at Los Angeles, Los Angeles, CA, USA. Electronic address: evanhart@ucla.edu.
Alicia IzquierdoDepartment of Psychology, University of California at Los Angeles, Los Angeles, CA, USA; The Brain Research Institute, University of California at Los Angeles, Los Angeles, CA, USA; Integrative Center for Learning and Memory, University of California at Los Angeles, CA, USA; Integrative Center for Addictions, University of California at Los Angeles, CA, USA. Electronic address: aizquie@psych.ucla.edu.

Funding

CRCNS Research Proposal: Cortico-amygdalar substrates of adaptive learningR01DA047870 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Alicia Izquierdo, Alireza Soltani · 2018 to 2026
$4.1M
NIDA NIH HHS R01 DA047870
6 · The paper itself

Abstract

Organisms must frequently make cost-benefit decisions based on time, risk, and effort in choosing rewards to pursue. Various tasks have been developed to assess effort-based choice in rats, and experimenters have found largely similar results across tasks and brain regions. In this review, we focus primarily on the convergence of different effort-based choice tasks where quality or quantity of reward are manipulated. In the former, the rat is typically presented with the option to work for a preferred reward or select a less preferred, but freely-available reward. In such paradigms, the rewards are of different identities but are confirmed to differ qualitatively in value by a food preference task when both are freely-available. In the latter task type, rats are required to select between higher magnitude versus lower magnitudes of the same reward, but each with a similar effort requirement. We discuss the strengths/limitations of these paradigms, and describe brain regions that have been probed that result in converging or equivocal findings. Results are also reviewed with reference to a need for future work, and the broader impacts and implications of studies probing the mechanisms of effort.

Indexed as

Choice BehaviorPhysical ExertionAnimalsDecision MakingFood PreferencesRewardAnterior cingulate cortexBasolateral amygdalaDiscountingOrbitofrontal cortexReinforcement learning

Identifiers

PMID31082477
PMCPMC6557689

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.