Evidence map›Paper›PMID 28118495›Full record

ArticleAlcoholism, clinical and experimental research2017

Negative Affect-Associated USV Acoustic Characteristics Predict Future Excessive Alcohol Drinking and Alcohol Avoidance in Male P and NP Rats.

James M Reno, Neha Thakore, Lawrence K Cormack, Timothy Schallert, Richard L Bell, W Todd Maddox, Christine L Duvauchelle

Abstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

James M RenoWaggoner Center for Alcohol and Addiction Research , The University of Texas at Austin, Austin, Texas.
Neha ThakoreWaggoner Center for Alcohol and Addiction Research , The University of Texas at Austin, Austin, Texas.
Lawrence K CormackDepartment of Psychology , College of Liberal Arts, The University of Texas at Austin, Austin, Texas.
Timothy SchallertWaggoner Center for Alcohol and Addiction Research , The University of Texas at Austin, Austin, Texas.
Richard L BellDepartment of Psychiatry , Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, Indiana.
W Todd MaddoxCognitive Design and Statistical Consulting , LLC, Austin, Texas.
Christine L DuvauchelleWaggoner Center for Alcohol and Addiction Research , The University of Texas at Austin, Austin, Texas.

Funding

Translational Research and Science Education (OUT)P60AA007611 · NIAAA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI DAVID A. KAREKEN · 2003 to 2026
$45.5M
Integrative Neuroscience Initiative on Alcoholism - West - SupplementU01AA013517 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI ROBERTO, MARISA · 2001 to 2014
$12.7M
Neurochemical & Behavioral Correlates of ETOH EffectsT32AA007471 · NIAAA · UNIVERSITY OF TEXAS AUSTIN · PI Kimberly Nixon · 1987 to 2026
$9.2M
Rodents with Genetic Differences in Alcohol PreferenceR24AA015512 · NIAAA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI BELL, RICHARD LOWELL · 2005 to 2014
$5.1M
Rat Animal Models Core (RAMC)U01AA013522 · NIAAA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI BELL, RICHARD LOWELL · 2001 to 2014
$4.3M
Rodents with Genetic Differences in Alcohol PreferenceU24AA015512 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI BELL, RICHARD LOWELL · 2015 to 2019
$2.7M
Rat Animal Models & Drug and Gene Testing Core (RAM-DGTC)U24AA013522 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI BELL, RICHARD LOWELL · 2015 to 2021
$2.4M
Genetic Influences on Dual Processing Modes of Reward and Punishment LearningR01DA032457 · NIDA · UNIVERSITY OF TEXAS AT AUSTIN · PI BEEVERS, CHRISTOPHER G · 2012 to 2016
$2.2M
Tests of neurobiologically-inspired Model of the Motivation-Learning InterfaceR01MH077708 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI MADDOX, W TODD TODD · 2007 to 2011
$1.5M
NIAAA NIH HHS P60 AA007611NIAAA NIH HHS R24 AA015512NIAAA NIH HHS T32 AA007471NIAAA NIH HHS U01 AA013517NIAAA NIH HHS U01 AA013522NIAAA NIH HHS U24 AA013522NIAAA NIH HHS U24 AA015512NIDA NIH HHS R01 DA032457NIMH NIH HHS R01 MH077708
6 · The paper itself

Abstract

backgroundNegative emotional status and adverse emotional events increase vulnerability to alcohol abuse. Ultrasonic vocalizations (USVs) emitted by rats are a well-established model of emotional status that can reflect positive or negative affective responses in real time. Most USV studies assess counts, yet each USV is a multidimensional data point characterized by several acoustic characteristics that may provide insight into the neurocircuitry underlying emotional response.

methodsUSVs emitted from selectively bred alcohol-naïve and alcohol-experienced alcohol-preferring and nonpreferring rats (P and NP rats) were recorded during 4-hour sessions on alternating days over 4 weeks. Linear mixed modeling (LMM) and linear discriminant analysis (LDA) were applied to USV acoustic characteristics (e.g., frequency, duration, power, and bandwidth) of negative affect (22 to 28 kilohertz [kHz])- and positive (50 to 55 kHz) affect-related USVs.

resultsHundred percent separation between alcohol-naïve P and NP rats was achieved through a linear combination (produced by LDA) of USV acoustic characteristics of 22- to 28-kHz USVs, whereas poor separation (36.5%) was observed for 50- to 55-kHz USVs. 22- to 28-kHz LDA separation was high (87%) between alcohol-experienced P and NP rats, but was poor for 50- to 55-kHz USVs (57.3%). USV mean frequency and duration were the highest weighted characteristics in both the naïve and experienced 22- to 28-kHz LDA representations suggesting that alcohol experience does not alter the representations. LMM analyses of 22- to 28-kHz USV acoustic characteristics matched the LDA results. Poor LDA separation was observed between alcohol-naïve and alcohol-experienced P rats for both 22- to 28-kHz and 50- to 55-kHz USVs.

conclusionsAdvanced statistical analysis of negative affect-associated USV data predicts future behaviors of excessive alcohol drinking and alcohol avoidance in selectively bred rats. USV characteristics across rat lines reveal affect-related motivation to consume alcohol and may predict neural pathways mediating emotional response. Further characterization of these differences could delineate particular neurocircuitry and methods to ameliorate dysregulated emotional states often observed in human alcohol abusers.

Indexed as

Ultrasonic WavesAlcohol DrinkingAlcoholismAnimalsAvoidance LearningMaleRatsVocalization, AnimalAlcohol-Preferring and Nonpreferring RatsLinear Discriminant AnalysisLinear Mixed ModelMultidimensional DataSelectively Bred Rats

Identifiers

PMID28118495
PMCPMC5378600

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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.