Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87021
Title: Early Vocal Development in Autism Spectrum Disorder, Rett Syndrome, and Fragile X Syndrome: Insights from Studies Using Retrospective Video Analysis
Authors: Roche, Laura
Zhang, Dajie
Bartl-Pokorny, Katrin D.
Pokorny, Florian B.
Schuller, Björn W.
Esposito, Gianluca
Bölte, Sven
Roeyers, Herbert
Poustka, Luise
Gugatschka, Markus
Waddington, Hannah
Vollmann, Ralf
Einspieler, Christa
Marschik, Peter B.
Keywords: Vocalisation Analysis
Autism Spectrum Disorder
Issue Date: 2018
Source: Roche, L., Zhang, D., Bartl-Pokorny, K. D., Pokorny, F. B., Schuller, B. W., Esposito, G., et al. (2018). Early Vocal Development in Autism Spectrum Disorder, Rett Syndrome, and Fragile X Syndrome: Insights from Studies Using Retrospective Video Analysis. Advances in Neurodevelopmental Disorders, in press.
Series/Report no.: Advances in Neurodevelopmental Disorders
Abstract: This article provides an overview of studies assessing the early vocalisations of children with autism spectrum disorder (ASD), Rett syndrome (RTT), and fragile X syndrome (FXS) using retrospective video analysis (RVA) during the first 2 years of life. Electronic databases were systematically searched and a total of 23 studies were selected. These studies were then categorised according to whether children were later diagnosed with ASD (13 studies), RTT (8 studies), or FXS (2 studies) and then described in terms of (a) participant characteristics, (b) control group characteristics, (c) video footage, (d) behaviours analysed, and (e) main findings. This overview supports the use of RVA in analysing the early development of vocalisations in children later diagnosed with ASD, RTT, or FXS and provides an in-depth analysis of vocalisation presentation, complex vocalisation production, and the rate and/or frequency of vocalisation production across the three disorders. Implications are discussed in terms of extending crude vocal analyses to more precise methods that might provide more powerful means by which to discriminate between disorders during early development. A greater understanding of the early manifestation of these disorders may then lead to improvements in earlier detection.
URI: https://hdl.handle.net/10356/87021
http://hdl.handle.net/10220/44329
ISSN: 2366-7532
DOI: 10.1007/s41252-017-0051-3
Rights: © 2018 Springer International Publishing AG, part of Springer Nature. This is the author created version of a work that has been peer reviewed and accepted for publication by Advances in Neurodevelopmental Disorders, Springer International Publishing AG. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/s41252-017-0051-3].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:HSS Journal Articles

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