Evidence map›Paper›PMID 29209998›Full record

ArticleCognitive, affective & behavioral neuroscience2018

Rodent ultrasonic vocalizations as biomarkers of future alcohol use: A predictive analytic approach.

Nitish Mittal, W Todd Maddox, Timothy Schallert, Christine L Duvauchelle

Open access · bronzeAbstract read
In one paragraph

Article in Cognitive, affective & behavioral neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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  4. Review
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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

4 authors at 2 institutions in 1 country.

Nitish MittalCollege of Pharmacy, Division of Pharmacology and Toxicology, The University of Texas at Austin, 2409 University Avenue, Stop A1915, Austin, TX, 78712, USA.
W Todd MaddoxCognitive Design and Statistical Consulting, Austin, TX, 78746, USA.
Timothy SchallertWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, 2500 Speedway, Stop A4800, Austin, TX, 78712, USA.
Christine L DuvauchelleCollege of Pharmacy, Division of Pharmacology and Toxicology, The University of Texas at Austin, 2409 University Avenue, Stop A1915, Austin, TX, 78712, USA. duvauchelle@mail.utexas.edu.
The University of Texas at Austin · USStatistical Research (United States) · US

Funding

Integrative Neuroscience Initiative on Alcoholism - West - SupplementU01AA013517 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI ROBERTO, MARISA · 2001 to 2014
$12.7M
Integrative Neuroscience Initiative on AlcoholismU24AA013517 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI ROBERTO, MARISA · 2015 to 2016
$1.5M
NIAAA NIH HHS U01 AA013517NIAAA NIH HHS U24 AA013517
6 · The paper itself

Abstract

Excessive alcohol consumption has a vast, negative impact on society. Rodent models have been successful in furthering our understanding of the biological underpinnings that drive alcohol consumption. Rodents emit ultrasonic vocalizations (USVs) that are each composed of several acoustic characteristics (e.g., frequency, duration, bandwidth, power). USVs reflect neurotransmitter activity in the ascending limb of the mesolimbic dopaminergic and cholinergic neurotransmitter systems and serve as noninvasive, real-time biomarkers of dopaminergic and cholinergic neurotransmission in the limbic system. In the present study, we recorded spontaneously emitted USVs from alcohol-naïve Long-Evans (LE) rats and then measured their alcohol intake. We compared the USV acoustic characteristics and alcohol consumption data from these LE rats with previously published data from selectively bred high-alcohol (P and HAD-1) and low-alcohol (NP and LAD-1) drinking lines from studies with the same experimental method. Predictive analytic techniques were applied simultaneously to this combined data set and revealed that (a) USVs emitted by alcohol-naïve rats accurately discriminated among high-alcohol consuming, LE, and low-alcohol consuming rat lines, and (b) future alcohol consumption in these same rat lines was reliably predicted from the USV data collected in an alcohol-naïve state. To our knowledge, this is the first study to show that alcohol consumption is predicted directly from USV profiles of alcohol-naïve rats. Because USV acoustic characteristics are sensitive to underlying neural activity, these findings suggest that baseline differences in mesolimbic cholinergic and dopaminergic tone could determine the propensity for future alcohol consumption in rodents.

Indexed as

EthanolUltrasonicsAlcohol DrinkingAnimalsBehavior, AnimalBiomarkersMaleRats, Long-EvansVocalization, AnimalBiomarkersEthanolAlcoholism biomarkerAnimal modelsLinear discriminant analysisLong-Evans ratsPredictive analyticsSelectively bred rats

Identifiers

PMID29209998
PMCPMC5825270
OpenAlexW2772420849

What OpenQuestion holds

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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.