Evidence map›Paper›PMID 36778344›Full record

ArticleResearch square2023

Reward Maximization Assessed Using a Sequential Patch Depletion Task in a Large Sample of Heterogeneous Stock Rats.

Amy M Gancarz, Suzanne H Mitchell, Anthony M George, Connor D Martin, Marisa C Turk, Heather M Bool, Fahmida Aktar, Francis Kwarteng, Abraham A Palmer, Paul J Meyer and 3 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Amy M GancarzCalifornia State University, Bakersfield.
Suzanne H MitchellOregon Health & Science University.
Anthony M GeorgeUniversity at Buffalo.
Connor D MartinUniversity at Buffalo.
Marisa C TurkUniversity at Buffalo.
Heather M BoolUniversity at Buffalo.
Fahmida AktarUniversity at Buffalo.
Francis KwartengUniversity at Buffalo.
Abraham A PalmerUniversity of California, San Diego.
Paul J MeyerUniversity at Buffalo.
Jerry B RichardsUniversity at Buffalo.
David M DietzUniversity at Buffalo.
Keita IsiwariUniversity at Buffalo.
University at Buffalo, State University of New York · USCalifornia State University, Bakersfield · USOregon Health & Science University · USUniversity of California San Diego · US

Funding

Sequencing CoreP50DA037844 · NIDA · UNIVERSITY OF CHICAGO · PI PALMER, ABRAHAM A · 2014 to 2023
$27.4M
Identification of genetic features of delay discounting using a heterogeneous stock rat modelU01DA046077 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI MITCHELL, SUZANNE H · 2018 to 2022
$2.5M
NIDA NIH HHS P50 DA037844NIDA NIH HHS U01 DA046077
6 · The paper itself

Abstract

Choice behavior requires animals to evaluate both short- and long-term advantages and disadvantages of all potential alternatives. Impulsive choice is traditionally measured in laboratory tasks by utilizing delay discounting (DD), a paradigm that offers a choice between a smaller immediate reward, or a larger more delayed reward. This study tested a large sample of Heterogeneous Stock (HS) male (n = 896) and female (n = 898) rats, part of a larger genetic study, to investigate whether measures of reward maximization overlapped with traditional models of delay discounting via the patch depletion model using a Sequential Patch Depletion procedure. In this task, rats were offered a concurrent choice between two water "patches" and could elect to "stay" in the current patch or "leave" for an alternative patch. Staying in the current patch resulted in decreasing subsequent reward magnitudes, whereas the choice to leave a patch was followed by a delay and a resetting to the maximum reward magnitude. Based on the delay in a given session, different visit durations were necessary to obtain the maximum number of rewards. Visit duration may be analogous to an indifference point in traditional DD tasks. While differences in traditional DD measures (e.g., delay gradient) have been detected between males and females, these effects were small and inconsistent. However, when examining measures of reward maximization, females made fewer patch changes at all delays and spent more time in the patch before leaving for the alternative patch compared to males. This pattern of choice resulted in males having a higher rate of reinforcement than females. Consistent with this, there was some evidence that females deviated from the optimal more, leading to less reward. Measures of reward maximization were only weakly associated with traditional DD measures and may represent distinctive underlying processes. Taken together, females performance differed from males with regard to reward maximization that were not observed utilizing traditional measures of DD, suggesting that the patch depletion model was more sensitive to modest sex differences when compared to traditional DD measures in a large sample of HS rats.

Identifiers

PMID36778344
PMCPMC9915773
OpenAlexW4319067118

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.