Computational Analysis of Neonatal Mouse Ultrasonic Vocalization. Issue 2 (21st May 2018)

• Record Type: Journal Article
• Authors: Ó Broin, Pilib; Beckert, Michael V.; Takahashi, Tomohisa; Izumi, Takeshi; Ye, Kenny; Kang, Gina; Pouso, Patricia; Topolski, Mackenzie; Pena, Jose L.; Hiroi, Noboru
• Editors: Auwerx, Johan; Ackerman, Susan L.; Brown, Stephen D.; Justice, Monica J.; Nadeau, Joseph
• Is Part Of: Current protocols in mouse biology. Volume 8:Issue 2(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-05-21
• Subjects: autism spectrum disorder -- entropy -- Markov model -- mouse models -- sPLS‐DA -- USV -- schizophrenia; Mice -- Genetics -- Laboratory manuals; Mice; Animals, Laboratory; Research; Mice -- Genetics; Periodicals; Laboratory manuals; 616.027333
• DOI: 10.1002/cpmo.46
• Languages: English
• ISSNs: 2161-2617

Abstract

Abstract: Neonatal vocalization is structurally altered in mouse models of autism spectrum disorder (ASD). Our published data showed that pup vocalization, under conditions of maternal separation, contains sequences whose alterations in a genetic mouse model of ASD impair social communication between pups and mothers. We describe details of a method which reveals the statistical structure of call sequences that are functionally critical for optimal maternal care. Entropy analysis determines the degree of non‐random call sequencing. A Markov model determines the actual call sequences used by pups. Sparse partial least squares discriminant analysis (sPLS‐DA) identifies call sequences that differentiate groups and reveals the degrees of individual variability in call sequences between groups. These three sets of analyses can be used to identify the otherwise hidden call structure that is altered in mouse models of developmental neuropsychiatric disorders, including not only autism but also schizophrenia. © 2018 by John Wiley & Sons, Inc.