Evidence map›Paper›PMID 28716096›Full record

ArticleMolecular brain2017

Optimizing reproducibility of operant testing through reinforcer standardization: identification of key nutritional constituents determining reward strength in touchscreens.

Eun Woo Kim, Benjamin U Phillips, Christopher J Heath, So Yeon Cho, Hyunjeong Kim, Jemeen Sreedharan, Ho-Taek Song, Jong Eun Lee, Timothy J Bussey, Chul Hoon Kim and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular brain, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

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  16. Blockade of muscarinic acetylcholine receptors facilitates motivated behaviour and rescues a model of antipsychotic-induced amotivation.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019
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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

12 authors at 6 institutions in 3 countries.

Eun Woo KimDepartment of Psychiatry, Institute of Behavioral Science in Medicine, BK21 Plus Project for Medical Sciences, Severance Biomedical Science Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul, 03722, Republic of Korea.
Benjamin U PhillipsDepartment of Psychology and MRC/Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Street, Cambridge, CB2 3EB, UK.
Christopher J HeathSchool of Life, Health and Chemical Sciences, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK.
So Yeon ChoDepartment of Psychiatry, Institute of Behavioral Science in Medicine, BK21 Plus Project for Medical Sciences, Severance Biomedical Science Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul, 03722, Republic of Korea.
Hyunjeong KimDepartment of Psychiatry, Institute of Behavioral Science in Medicine, BK21 Plus Project for Medical Sciences, Severance Biomedical Science Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul, 03722, Republic of Korea.
Jemeen SreedharanThe Babraham Institute, Cambridge, CB22 3AT, UK.
Ho-Taek SongDepartment of Radiology, Severance Biomedical Science Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul, 03722, Republic of Korea.
Jong Eun LeeDepartment of Anatomy, BK21 Plus Project for Medical Sciences, Severance Biomedical Science Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul, 03722, Republic of Korea.
Timothy J BusseyDepartment of Psychology and MRC/Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Street, Cambridge, CB2 3EB, UK.
Chul Hoon KimDepartment of Pharmacology, BK21 Plus Project for Medical Sciences, Severance Biomedical Science Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul, 03722, Republic of Korea. kimhoon@yuhs.ac.
Eosu KimDepartment of Psychiatry, Institute of Behavioral Science in Medicine, BK21 Plus Project for Medical Sciences, Severance Biomedical Science Institute, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul, 03722, Republic of Korea. kimeosu@yuhs.ac.
Lisa M SaksidaDepartment of Psychology and MRC/Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Street, Cambridge, CB2 3EB, UK.
Yonsei University · KRBabraham Institute · GBThe Open University · GBUniversity of Cambridge · GBWellcome Trust · GBWestern University · CA

Funding

Medical Research CouncilMotor Neurone Disease Association SREEDHARAN/APR16/849-791Motor Neurone Disease Association SREEDHARAN/JAN13/943-795National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/N001451/1
6 · The paper itself

Abstract

Reliable and reproducible assessment of animal learning and behavior is a central aim of basic and translational neuroscience research. Recent developments in automated operant chamber technology have led to the possibility of universal standard protocols, in addition to increased translational potential, reliability and accuracy. However, the impact of regional and national differences in the supplies of available reinforcers in this system on behavioural performance and inter-laboratory variability is an unknown and at present uncontrolled variable. Therefore, we aimed to identify which constituent(s) of the reward determines reinforcer strength to enable improved standardization of this parameter across laboratories. Male C57BL/6 mice were examined in the touchscreen-based fixed ratio (FR) and progressive ratio (PR) schedules, reinforced with different kinds of milk-based reinforcers to directly compare the incentive values of plain milk (PM, high-calorie: high-fat/low-sugar), strawberry-flavored milk (SM, high-calorie: low-fat/high-sugar), and semi-skimmed low-fat milk (LM, low-calorie: low-fat/low-sugar) on the basis of differences in caloric content, sugar/fat content, and flavor. Use of a higher caloric content reward was effective in increasing operant training acquisition rate. Total trial number completed in FR and breakpoint in PR were higher using the two isocaloric milk products (PM and SM) than the lower caloric LM, with comparable outcomes between PM and SM conditions, suggesting that total caloric content determines reward strength. Analysis of within-session changes in response rate revealed that overall outputs in FR and PR primarily depend on the response rate at the initial phase of a session, which itself was dependent on reinforcer caloric content. Interestingly, the rate of satiation, indicated by decay in response rate within a FR session, was highest when reinforced with SM, suggesting a rapid satiating effect of sugar. The key contribution of reward caloric content to operant performance was confirmed in a multi-laboratory study using the touchscreen 5-choice serial reaction time task (5-CSRTT) reinforced by two isocaloric milk-based liquid rewards with different countries of origin, which yielded consistent performance parameters across sites. Our results indicate that milk-based liquid reinforcer standardization can be facilitated by matching caloric content across laboratories despite regional or national differences in other non-caloric aspects of the reinforcers.

Indexed as

Conditioning, OperantNutritional Physiological PhenomenaReinforcement, PsychologyRewardAnimalsBehavior, AnimalChoice BehaviorEnergy IntakeMaleMice, Inbred C57BLMilkReference StandardsReproducibility of ResultsTask Performance and AnalysisCaloriesOperant behaviorReinforcerStandardizationTouchscreen chamber

Identifiers

PMID28716096
PMCPMC5512767
OpenAlexW2735718245

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.