Evidence map›Paper›PMID 28466068›Full record

ArticleeNeuro

Brain Stimulation Reward Supports More Consistent and Accurate Rodent Decision-Making than Food Reward.

Matthew S McMurray, Sineadh M Conway, Jamie D Roitman

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Matthew S McMurrayDepartment of Psychology, Miami University, Oxford, OH 45056.ORCID 0000-0002-1898-2933
Sineadh M ConwayDepartment of Psychology, University of Illinois at Chicago, Chicago, IL 60607.ORCID 0000-0002-6458-9219
Jamie D RoitmanDepartment of Psychology, University of Illinois at Chicago, Chicago, IL 60607.ORCID 0000-0002-6924-8229
University of Illinois Chicago · USMiami University · US

Funding

Modulation of NAc-DA Signaling by Learning Motivational State and PeptidesR01DA025634 · NIDA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ROITMAN, MITCHELL F · 2009 to 2024
$5.1M
NIDA NIH HHS R01 DA025634
6 · The paper itself

Abstract

Animal models of decision-making rely on an animal's motivation to decide and its ability to detect differences among various alternatives. Food reinforcement, although commonly used, is associated with problematic confounds, especially satiety. Here, we examined the use of brain stimulation reward (BSR) as an alternative reinforcer in rodent models of decision-making and compared it with the effectiveness of sugar pellets. The discriminability of various BSR frequencies was compared to differing numbers of sugar pellets in separate free-choice tasks. We found that BSR was more discriminable and motivated greater task engagement and more consistent preference for the larger reward. We then investigated whether rats prefer BSR of varying frequencies over sugar pellets. We found that animals showed either a clear preference for sugar reward or no preference between reward modalities, depending on the frequency of the BSR alternative and the size of the sugar reward. Overall, these results suggest that BSR is an effective reinforcer in rodent decision-making tasks, removing food-related confounds and resulting in more accurate, consistent, and reliable metrics of choice.

Indexed as

Reinforcement, PsychologyRewardAnimalsBehavior, AnimalBrainChoice BehaviorConditioning, OperantDecision MakingElectric StimulationFoodMaleMotivationRats, Long-EvansBrain stimulation rewarddecisionfood rewardintracranial self-stimulationpreference

Identifiers

PMID28466068
PMCPMC5411162
OpenAlexW2606755402

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.