Evidence map›Paper›PMID 38971889›Full record

ArticleCommunications biology2024

RECORD, a high-throughput, customizable system that unveils behavioral strategies leveraged by rodents during foraging-like decision-making.

Raquel J Ibáñez Alcalá, Dirk W Beck, Alexis A Salcido, Luis D Davila, Atanu Giri, Cory N Heaton, Kryssia Villarreal Rodriguez, Lara I Rakocevic, Safa B Hossain, Neftali F Reyes and 31 more

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

41 authors.

Raquel J Ibáñez Alcalá *Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.ORCID 0009-0008-0440-9192
Dirk W Beck *Computational Science Program, University of Texas at El Paso, El Paso, TX, USA.
Alexis A Salcido *Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.ORCID 0000-0002-1063-5902
Luis D Davila *Computational Science Program, University of Texas at El Paso, El Paso, TX, USA.
Atanu Giri *Computational Science Program, University of Texas at El Paso, El Paso, TX, USA.
Cory N Heaton *Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.ORCID 0009-0000-0251-1371
Kryssia Villarreal Rodriguez *Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Lara I Rakocevic *Computational Science Program, University of Texas at El Paso, El Paso, TX, USA.
Safa B Hossain *Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.ORCID 0009-0004-7336-3301
Neftali F Reyes *Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.ORCID 0000-0002-4168-2322
Serina A Batson *Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.ORCID 0000-0001-5367-8286
Andrea Y Macias *Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Sabrina M Drammis *Artificial Intelligence Laboratory, Department of Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Kenichiro Negishi *National Institute on Drug Abuse, Baltimore, MD, USA.ORCID 0000-0001-8283-9202
Qingyang Zhang *Department of Biomedical Informatics, Harvard Medical School, Cambridge, MA, USA.
Shreeya Umashankar Beck *Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Paulina Vara *Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.ORCID 0000-0003-3248-9034
Arnav JoshiComputational Science Program, University of Texas at El Paso, El Paso, TX, USA.
Austin J FrancoDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Bianca J Hernandez CarbajalDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Miguel M OrdonezDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Felix Y RamirezDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Jonathan D LopezDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Nayeli LozanoDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Abigail RamirezDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Linnete LegaspyDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Paulina L CruzDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Abril A ArmentaDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Stephanie N VielDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Jessica I AguirreDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Odalys QuintanarDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Fernanda MedinaDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Pablo M OrdonezDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Alfonzo E MunozDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Gustavo E Martínez GaudierDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Gabriela M NaimeDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Rosalie E PowersDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Laura E O'DellDepartment of Psychology, University of Texas at El Paso, El Paso, TX, USA.
Travis M MoschakDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
Ki A GoosensDepartment of Psychiatry, Center for Translational Medicine and Pharmacology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Ki.goosens@mssm.edu.ORCID 0000-0002-5246-2261
Alexander FriedmanDepartment of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA. Afriedman@utep.edu.ORCID 0009-0006-0882-5324

Funding

A2: Striosomal models of drug use and costR01DA058653 · NIDA · UNIVERSITY OF TEXAS EL PASO · PI Alexander Friedman, Travis M Moschak · 2024 to 2026
$1.7M
Neural circuitry of distress toleranceR00DA045764 · NIDA · UNIVERSITY OF TEXAS EL PASO · PI MOSCHAK, TRAVIS M · 2021 to 2023
$745k
Neural circuitry of distress toleranceK99DA045764 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOSCHAK, TRAVIS M · 2019 to 2020
$232k
National Science Foundation (NSF) 2235858NIDA NIH HHS K99 DA045764NIDA NIH HHS R00 DA045764NIDA NIH HHS R01 DA058653U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) DA045764U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) R01DA058653
6 · The paper itself

Abstract

Translational studies benefit from experimental designs where laboratory organisms use human-relevant behaviors. One such behavior is decision-making, however studying complex decision-making in rodents is labor-intensive and typically restricted to two levels of cost/reward. We design a fully automated, inexpensive, high-throughput framework to study decision-making across multiple levels of rewards and costs: the REward-COst in Rodent Decision-making (RECORD) system. RECORD integrates three components: 1) 3D-printed arenas, 2) custom electronic hardware, and 3) software. We validated four behavioral protocols without employing any food or water restriction, highlighting the versatility of our system. RECORD data exposes heterogeneity in decision-making both within and across individuals that is quantifiably constrained. Using oxycodone self-administration and alcohol-consumption as test cases, we reveal how analytic approaches that incorporate behavioral heterogeneity are sensitive to detecting perturbations in decision-making. RECORD is a powerful approach to studying decision-making in rodents, with features that facilitate translational studies of decision-making in psychiatric disorders.

Indexed as

Behavior, AnimalDecision MakingAlcohol DrinkingAnimalsFeeding BehaviorMaleMiceOxycodoneRatsRewardSelf AdministrationSoftwareOxycodone

Identifiers

PMID38971889
PMCPMC11227549

What Socratic 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 Socratic graph.