TY - JOUR A1 - Hepbasli, Denis A1 - Gredy, Sina A1 - Ullrich, Melanie A1 - Reigl, Amelie A1 - Abeßer, Marco A1 - Raabe, Thomas A1 - Schuh, Kai T1 - Genotype- and Age-Dependent Differences in Ultrasound Vocalizations of SPRED2 Mutant Mice Revealed by Machine Deep Learning T2 - Brain Sciences N2 - Vocalization is an important part of social communication, not only for humans but also for mice. Here, we show in a mouse model that functional deficiency of Sprouty-related EVH1 domain-containing 2 (SPRED2), a protein ubiquitously expressed in the brain, causes differences in social ultrasound vocalizations (USVs), using an uncomplicated and reliable experimental setting of a short meeting of two individuals. SPRED2 mutant mice show an OCD-like behaviour, accompanied by an increased release of stress hormones from the hypothalamic–pituitary–adrenal axis, both factors probably influencing USV usage. To determine genotype-related differences in USV usage, we analyzed call rate, subtype profile, and acoustic parameters (i.e., duration, bandwidth, and mean peak frequency) in young and old SPRED2-KO mice. We recorded USVs of interacting male and female mice, and analyzed the calls with the deep-learning DeepSqueak software, which was trained to recognize and categorize the emitted USVs. Our findings provide the first classification of SPRED2-KO vs. wild-type mouse USVs using neural networks and reveal significant differences in their development and use of calls. Our results show, first, that simple experimental settings in combination with deep learning are successful at identifying genotype-dependent USV usage and, second, that SPRED2 deficiency negatively affects the vocalization usage and social communication of mice. KW - SPRED KW - SPRED2 KW - mice KW - neural networks KW - ultrasound vocalizations KW - DeepSqueak Y1 - 2021 UR - https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/24852 UR - https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-248525 SN - 2076-3425 VL - 11 IS - 10 ER -