2016
DOI: 10.3791/53871
|View full text |Cite
|
Sign up to set email alerts
|

Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication

Abstract: Mice emit ultrasonic vocalizations in different contexts throughout development and in adulthood. These vocal signals are now currently used as proxies for modeling the genetic bases of vocal communication deficits. Characterizing the vocal behavior of mouse models carrying mutations in genes associated with neuropsychiatric disorders such as autism spectrum disorders will help to understand the mechanisms leading to social communication deficits. We provide here protocols to reliably elicit ultrasonic vocaliz… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
52
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
4
2
2
1

Relationship

1
8

Authors

Journals

citations
Cited by 53 publications
(55 citation statements)
references
References 34 publications
3
52
0
Order By: Relevance
“…Conversely, some other models, (i.e., Pcdh19 X LacZ /Y; (Lim et al 2019)) did not show gross brain developmental abnormalities, but they did show some ASD-related behavioral phenotypes (Table 1). We found here that in rats electroporated with shRNA-Pcdh19 in the somatosensory cortex, brain developmental abnormalities were accompanied by decreased vocalisation and huddling behaviour in young pups, and poor sociability in adult animals, as already shown in animal models of ASD (Wöhr and Scattoni 2013;Scattoni, Crawley, and Ricceri 2009;Ferhat et al 2016;Szczurkowska et al 2018;Naskar et al 2019). Interestingly, also a large number (32%) of people with EIEE9 carry a diagnosis of ASD (Smith et al 2018;Clarke 2015)) with social deficits early in life that persist and may become more prominent in adulthood (Depienne et al 2011).…”
Section: Discussionsupporting
confidence: 69%
“…Conversely, some other models, (i.e., Pcdh19 X LacZ /Y; (Lim et al 2019)) did not show gross brain developmental abnormalities, but they did show some ASD-related behavioral phenotypes (Table 1). We found here that in rats electroporated with shRNA-Pcdh19 in the somatosensory cortex, brain developmental abnormalities were accompanied by decreased vocalisation and huddling behaviour in young pups, and poor sociability in adult animals, as already shown in animal models of ASD (Wöhr and Scattoni 2013;Scattoni, Crawley, and Ricceri 2009;Ferhat et al 2016;Szczurkowska et al 2018;Naskar et al 2019). Interestingly, also a large number (32%) of people with EIEE9 carry a diagnosis of ASD (Smith et al 2018;Clarke 2015)) with social deficits early in life that persist and may become more prominent in adulthood (Depienne et al 2011).…”
Section: Discussionsupporting
confidence: 69%
“…Mice possess a more varied repertoire of vocalizations as compared with rats. Mice have been found to emit a wide range of frequency‐modulated USVs (emissions staying between 30 and 110 kHz) that can be divided into predictable syllables, that is, time‐separated emissions, with individual emissions possessing one of a number of consistently occurring frequency patterns . In mice, these vocalizations have traditionally thought to be primarily linked to male courtship behavior, although more recent research indicates that male and female mice alike may also emit these calls as a territorial response to intruders (for review see Reference ).…”
Section: Modes Of Communication Important To Social Learningmentioning
confidence: 99%
“…At P6, individual pups were isolated from their mother and litter and placed on a cotton-padded dish into a thermo-controlled (26°C) soundproof chamber. Ultra-sonic vocalizations (USV) were recorded for 5 min using the UltraSoundGate Condenser Microphone and 116 USB Audio device (Avisoft Bioacoustics), as described [14,15]. Four pups were recorded simultaneously in parallel chambers.…”
Section: Behavioral Variablesmentioning
confidence: 99%
“…Four pups were recorded simultaneously in parallel chambers. Sonograms were analyzed with the AvisoftSASLab Pro software (version 5.2.12, Avisoft Bioacoustics) based on automated recognition of USV using a 25 kHz cut-off frequency and a 2-7 ms element separation, as described in [14]. Misidentified USV were manually curated and number and duration of USV were automatically extracted.…”
Section: Behavioral Variablesmentioning
confidence: 99%