Evidence map›Paper›PMID 36997312›Full record

ArticleeNeuro2023

LIQ HD (Lick Instance Quantifier Home Cage Device): An Open-Source Tool for Recording Undisturbed Two-Bottle Drinking Behavior in a Home Cage Environment.

Nicholas Petersen, Danielle N Adank, Ritika Raghavan, Danny G Winder, Marie A Doyle

Open access · goldAbstract read
In one paragraph

Article in eNeuro, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Nicholas PetersenVanderbilt Brain Institute, Vanderbilt University School of Medicine, Nashville, TN 37232.
Danielle N AdankVanderbilt Brain Institute, Vanderbilt University School of Medicine, Nashville, TN 37232.
Ritika RaghavanVanderbilt Brain Institute, Vanderbilt University School of Medicine, Nashville, TN 37232.
Danny G WinderVanderbilt Brain Institute, Vanderbilt University School of Medicine, Nashville, TN 37232 danny.winder@vanderbilt.edu marie.doyle@vanderbilt.edu.
Marie A DoyleVanderbilt Brain Institute, Vanderbilt University School of Medicine, Nashville, TN 37232 danny.winder@vanderbilt.edu marie.doyle@vanderbilt.edu.ORCID 0000-0002-3144-5163
Vanderbilt University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
MULTIDISCIPLINARY TRAINING IN MOLECULAR ENDOCRINOLOGYT32DK007563 · NIDDK · VANDERBILT UNIVERSITY · PI Richard M O'Brien · 1988 to 2026
$15.9M
Program in NeurogenomicsT32MH065215 · NIMH · VANDERBILT UNIVERSITY · PI ROGER J COLBRAN · 2002 to 2026
$6.4M
TRAINING PROGRAM IN ION CHANNEL AND TRANSPORTER BIOLOGYT32NS007491 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENTON, JEROD S. · 2001 to 2020
$4.1M
Alcohol action on extended amygdala glutamate synapsesR37AA019455 · NIAAA · VANDERBILT UNIVERSITY · PI WINDER, DANNY G. · 2015 to 2024
$3.9M
Norepinephrine-dopamine interactions underlying arousalR01NS102306 · NINDS · EMORY UNIVERSITY · PI MITRANO, DARLENE A, WEINSHENKER, DAVID · 2017 to 2021
$1.8M
Alcohol action on extended amygdala glutamate synapsesR01AA019455 · NIAAA · VANDERBILT UNIVERSITY · PI WINDER, DANNY G. · 2010 to 2014
$1.8M
Investigating the role of BNST GluN2D subunit-containing NMDARs in ethanol-induced plasticity and behaviorF32AA029592 · NIAAA · VANDERBILT UNIVERSITY · PI DOYLE, MARIE ALTHEA · 2021 to 2022
$133k
Neuron-astrocyte interactions mediating ethanol and noradrenergic modulation of wake-promoting vPAG dopamine neuronsF30AA029599 · NIAAA · VANDERBILT UNIVERSITY · PI PETERSEN, NICHOLAS · 2022 to 2024
$115k
NIAAA NIH HHS F30 AA029599NIAAA NIH HHS F32 AA029592NIAAA NIH HHS R01 AA019455NIAAA NIH HHS R37 AA019455NIDDK NIH HHS T32 DK007563NIGMS NIH HHS T32 GM007347NIMH NIH HHS T32 MH065215NINDS NIH HHS R01 NS102306NINDS NIH HHS T32 NS007491
6 · The paper itself

Abstract

Investigation of rodent drinking behavior has provided insight into drivers of thirst, circadian rhythms, anhedonia, and drug and ethanol consumption. Traditional methods of recording fluid intake involve weighing bottles, which is cumbersome and lacks temporal resolution. Several open-source devices have been designed to improve drink monitoring, particularly for two-bottle choice tasks. However, beam-break sensors lack the ability to detect individual licks for bout microstructure analysis. Thus, we designed LIQ HD (Lick Instance Quantifier Home cage Device) with the goal of using capacitive sensors to increase accuracy and analyze lick microstructure, building a device compatible with ventilated home cages, increasing scale with prolonged undisturbed recordings, and creating a design that is easy to build and use with an intuitive touchscreen graphical user interface. The system tracks two-bottle choice licking behavior in up to 18 rodent cages, or 36 single bottles, on a minute-to-minute timescale controlled by a single Arduino microcontroller. The data are logged to a single SD card, allowing for efficient downstream analysis. LIQ HD accuracy was validated with sucrose, quinine, and ethanol two-bottle choice tasks. The system measures preference over time and changes in bout microstructure, with undisturbed recordings tested up to 7 d. All designs and software are open-source to allow other researchers to build on the system and adapt LIQ HD to their animal home cages.

Indexed as

Alcohol DrinkingBehavior, AnimalAnimalsDrinkingEthanolRodentiaEthanolbout microstructurecapacitive sensordrinking behaviorlickometertwo-bottle choice

Identifiers

PMID36997312
PMCPMC10112549
OpenAlexW4361266891

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.