Alcohol-Preferring Rats and 22-kHz Negative-Affect Ultrasonic Vocalizations

Christine L. Duvauchelle, William T. Maddox, James M. Reno, Neha Thakore, Nitish Mittal, Lawrence K. Cormack, Richard Bell, Rueben Gonzales, Timothy Schallert

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter reviews the growing body of research focused on understanding the relationship between emotion and alcohol vulnerability in animal models of alcohol use disorders. Emotional status is directly modeled in rodents through analyses of ultrasonic vocalizations (USVs) with 22-kHz calls signaling negative affect and 50-kHz calls signaling positive affect. We review work with selectively bred high-alcohol drinking “P” and “HAD-1” rat lines that reveals high spontaneous rates of negative-affect USV emissions. We make the case that a focus on USV counts underutilizes the rich multidimensional acoustic properties associated with USVs. We argue that algorithms such as our WAAVES algorithm make the application of advanced statistics to the multidimensional USV acoustic properties feasible, and will allow more accurate characterization of emotional phenotypes. We briefly review some of our unpublished data that takes this approach. We show that advanced statistical techniques such as linear mixed modeling and linear discriminant function analysis reveal important properties of the data previously unexamined using call counts. For example, across three data sets (alcohol-naïve male P vs. NP, alcohol-naïve female vs. male HAD-1, and alcohol-naïve male P vs. Long Evans rats) we show that individual acoustic characteristics as well as the full complement of acoustic characteristics taken together differ across groups when the focus is on negative-affect calls but not positive-affect calls. The implications of this work for human alcohol research are discussed.

Original languageEnglish (US)
Title of host publicationHandbook of Behavioral Neuroscience
PublisherElsevier B.V.
Pages401-411
Number of pages11
ISBN (Print)9780128096000
DOIs
StatePublished - Jan 1 2018

Publication series

NameHandbook of Behavioral Neuroscience
Volume25
ISSN (Print)1569-7339

Fingerprint

Ultrasonics
Alcohols
Acoustics
Long Evans Rats
Discriminant Analysis
Focus Groups
Research
Alcohol Drinking
Rodentia
Emotions
Animal Models
Phenotype

Keywords

  • Alcohol
  • Emotion
  • HAD-1 rat
  • P rat
  • Selective breeding
  • Ultrasonic vocalization

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Behavioral Neuroscience

Cite this

Duvauchelle, C. L., Maddox, W. T., Reno, J. M., Thakore, N., Mittal, N., Cormack, L. K., ... Schallert, T. (2018). Alcohol-Preferring Rats and 22-kHz Negative-Affect Ultrasonic Vocalizations. In Handbook of Behavioral Neuroscience (pp. 401-411). (Handbook of Behavioral Neuroscience; Vol. 25). Elsevier B.V.. https://doi.org/10.1016/B978-0-12-809600-0.00038-X

Alcohol-Preferring Rats and 22-kHz Negative-Affect Ultrasonic Vocalizations. / Duvauchelle, Christine L.; Maddox, William T.; Reno, James M.; Thakore, Neha; Mittal, Nitish; Cormack, Lawrence K.; Bell, Richard; Gonzales, Rueben; Schallert, Timothy.

Handbook of Behavioral Neuroscience. Elsevier B.V., 2018. p. 401-411 (Handbook of Behavioral Neuroscience; Vol. 25).

Research output: Chapter in Book/Report/Conference proceedingChapter

Duvauchelle, CL, Maddox, WT, Reno, JM, Thakore, N, Mittal, N, Cormack, LK, Bell, R, Gonzales, R & Schallert, T 2018, Alcohol-Preferring Rats and 22-kHz Negative-Affect Ultrasonic Vocalizations. in Handbook of Behavioral Neuroscience. Handbook of Behavioral Neuroscience, vol. 25, Elsevier B.V., pp. 401-411. https://doi.org/10.1016/B978-0-12-809600-0.00038-X
Duvauchelle CL, Maddox WT, Reno JM, Thakore N, Mittal N, Cormack LK et al. Alcohol-Preferring Rats and 22-kHz Negative-Affect Ultrasonic Vocalizations. In Handbook of Behavioral Neuroscience. Elsevier B.V. 2018. p. 401-411. (Handbook of Behavioral Neuroscience). https://doi.org/10.1016/B978-0-12-809600-0.00038-X
Duvauchelle, Christine L. ; Maddox, William T. ; Reno, James M. ; Thakore, Neha ; Mittal, Nitish ; Cormack, Lawrence K. ; Bell, Richard ; Gonzales, Rueben ; Schallert, Timothy. / Alcohol-Preferring Rats and 22-kHz Negative-Affect Ultrasonic Vocalizations. Handbook of Behavioral Neuroscience. Elsevier B.V., 2018. pp. 401-411 (Handbook of Behavioral Neuroscience).
@inbook{fe2653e6adb845849827a272d9ba033e,
title = "Alcohol-Preferring Rats and 22-kHz Negative-Affect Ultrasonic Vocalizations",
abstract = "This chapter reviews the growing body of research focused on understanding the relationship between emotion and alcohol vulnerability in animal models of alcohol use disorders. Emotional status is directly modeled in rodents through analyses of ultrasonic vocalizations (USVs) with 22-kHz calls signaling negative affect and 50-kHz calls signaling positive affect. We review work with selectively bred high-alcohol drinking “P” and “HAD-1” rat lines that reveals high spontaneous rates of negative-affect USV emissions. We make the case that a focus on USV counts underutilizes the rich multidimensional acoustic properties associated with USVs. We argue that algorithms such as our WAAVES algorithm make the application of advanced statistics to the multidimensional USV acoustic properties feasible, and will allow more accurate characterization of emotional phenotypes. We briefly review some of our unpublished data that takes this approach. We show that advanced statistical techniques such as linear mixed modeling and linear discriminant function analysis reveal important properties of the data previously unexamined using call counts. For example, across three data sets (alcohol-na{\"i}ve male P vs. NP, alcohol-na{\"i}ve female vs. male HAD-1, and alcohol-na{\"i}ve male P vs. Long Evans rats) we show that individual acoustic characteristics as well as the full complement of acoustic characteristics taken together differ across groups when the focus is on negative-affect calls but not positive-affect calls. The implications of this work for human alcohol research are discussed.",
keywords = "Alcohol, Emotion, HAD-1 rat, P rat, Selective breeding, Ultrasonic vocalization",
author = "Duvauchelle, {Christine L.} and Maddox, {William T.} and Reno, {James M.} and Neha Thakore and Nitish Mittal and Cormack, {Lawrence K.} and Richard Bell and Rueben Gonzales and Timothy Schallert",
year = "2018",
month = "1",
day = "1",
doi = "10.1016/B978-0-12-809600-0.00038-X",
language = "English (US)",
isbn = "9780128096000",
series = "Handbook of Behavioral Neuroscience",
publisher = "Elsevier B.V.",
pages = "401--411",
booktitle = "Handbook of Behavioral Neuroscience",

}

TY - CHAP

T1 - Alcohol-Preferring Rats and 22-kHz Negative-Affect Ultrasonic Vocalizations

AU - Duvauchelle, Christine L.

AU - Maddox, William T.

AU - Reno, James M.

AU - Thakore, Neha

AU - Mittal, Nitish

AU - Cormack, Lawrence K.

AU - Bell, Richard

AU - Gonzales, Rueben

AU - Schallert, Timothy

PY - 2018/1/1

Y1 - 2018/1/1

N2 - This chapter reviews the growing body of research focused on understanding the relationship between emotion and alcohol vulnerability in animal models of alcohol use disorders. Emotional status is directly modeled in rodents through analyses of ultrasonic vocalizations (USVs) with 22-kHz calls signaling negative affect and 50-kHz calls signaling positive affect. We review work with selectively bred high-alcohol drinking “P” and “HAD-1” rat lines that reveals high spontaneous rates of negative-affect USV emissions. We make the case that a focus on USV counts underutilizes the rich multidimensional acoustic properties associated with USVs. We argue that algorithms such as our WAAVES algorithm make the application of advanced statistics to the multidimensional USV acoustic properties feasible, and will allow more accurate characterization of emotional phenotypes. We briefly review some of our unpublished data that takes this approach. We show that advanced statistical techniques such as linear mixed modeling and linear discriminant function analysis reveal important properties of the data previously unexamined using call counts. For example, across three data sets (alcohol-naïve male P vs. NP, alcohol-naïve female vs. male HAD-1, and alcohol-naïve male P vs. Long Evans rats) we show that individual acoustic characteristics as well as the full complement of acoustic characteristics taken together differ across groups when the focus is on negative-affect calls but not positive-affect calls. The implications of this work for human alcohol research are discussed.

AB - This chapter reviews the growing body of research focused on understanding the relationship between emotion and alcohol vulnerability in animal models of alcohol use disorders. Emotional status is directly modeled in rodents through analyses of ultrasonic vocalizations (USVs) with 22-kHz calls signaling negative affect and 50-kHz calls signaling positive affect. We review work with selectively bred high-alcohol drinking “P” and “HAD-1” rat lines that reveals high spontaneous rates of negative-affect USV emissions. We make the case that a focus on USV counts underutilizes the rich multidimensional acoustic properties associated with USVs. We argue that algorithms such as our WAAVES algorithm make the application of advanced statistics to the multidimensional USV acoustic properties feasible, and will allow more accurate characterization of emotional phenotypes. We briefly review some of our unpublished data that takes this approach. We show that advanced statistical techniques such as linear mixed modeling and linear discriminant function analysis reveal important properties of the data previously unexamined using call counts. For example, across three data sets (alcohol-naïve male P vs. NP, alcohol-naïve female vs. male HAD-1, and alcohol-naïve male P vs. Long Evans rats) we show that individual acoustic characteristics as well as the full complement of acoustic characteristics taken together differ across groups when the focus is on negative-affect calls but not positive-affect calls. The implications of this work for human alcohol research are discussed.

KW - Alcohol

KW - Emotion

KW - HAD-1 rat

KW - P rat

KW - Selective breeding

KW - Ultrasonic vocalization

UR - http://www.scopus.com/inward/record.url?scp=85046994357&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85046994357&partnerID=8YFLogxK

U2 - 10.1016/B978-0-12-809600-0.00038-X

DO - 10.1016/B978-0-12-809600-0.00038-X

M3 - Chapter

AN - SCOPUS:85046994357

SN - 9780128096000

T3 - Handbook of Behavioral Neuroscience

SP - 401

EP - 411

BT - Handbook of Behavioral Neuroscience

PB - Elsevier B.V.

ER -