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Acoustic Properties of Cries in 12-Month Old Infants at High-Risk of Autism Spectrum Disorder / Lisa M. UNWIN in Journal of Autism and Developmental Disorders, 47-7 (July 2017)
[article]
Titre : Acoustic Properties of Cries in 12-Month Old Infants at High-Risk of Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Lisa M. UNWIN, Auteur ; Ildiko BRUZ, Auteur ; Murray T. MAYBERY, Auteur ; Victoria REYNOLDS, Auteur ; Natalie CICCONE, Auteur ; Cheryl DISSANAYAKE, Auteur ; Martha HICKEY, Auteur ; Andrew J. O. WHITEHOUSE, Auteur Article en page(s) : p.2108-2119 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders Crying Infant siblings Acoustic properties Index. décimale : PER Périodiques Résumé : There is preliminary evidence that infant siblings of children with Autism Spectrum Disorder (ASD) have an atypical pattern of cry, characterized by higher fundamental frequency and increased dysphonation. This prospective study collected multiple cry samples of 12-month old siblings of children with ASD (n?=?22, ‘high-risk’ group) and 12-month olds with no family history of ASD (n?=?27, ‘low risk’ group). While there was no difference between groups in the fundamental frequency or degree of phonation of the cry samples, the duration of each cry unit was significantly shorter in the high-risk siblings (p?.05). The six infant siblings who received a diagnosis of ASD at age two had amongst the shortest recorded cry durations. En ligne : https://doi.org/10.1007/s10803-017-3119-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=314
in Journal of Autism and Developmental Disorders > 47-7 (July 2017) . - p.2108-2119[article] Acoustic Properties of Cries in 12-Month Old Infants at High-Risk of Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Lisa M. UNWIN, Auteur ; Ildiko BRUZ, Auteur ; Murray T. MAYBERY, Auteur ; Victoria REYNOLDS, Auteur ; Natalie CICCONE, Auteur ; Cheryl DISSANAYAKE, Auteur ; Martha HICKEY, Auteur ; Andrew J. O. WHITEHOUSE, Auteur . - p.2108-2119.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 47-7 (July 2017) . - p.2108-2119
Mots-clés : Autism spectrum disorders Crying Infant siblings Acoustic properties Index. décimale : PER Périodiques Résumé : There is preliminary evidence that infant siblings of children with Autism Spectrum Disorder (ASD) have an atypical pattern of cry, characterized by higher fundamental frequency and increased dysphonation. This prospective study collected multiple cry samples of 12-month old siblings of children with ASD (n?=?22, ‘high-risk’ group) and 12-month olds with no family history of ASD (n?=?27, ‘low risk’ group). While there was no difference between groups in the fundamental frequency or degree of phonation of the cry samples, the duration of each cry unit was significantly shorter in the high-risk siblings (p?.05). The six infant siblings who received a diagnosis of ASD at age two had amongst the shortest recorded cry durations. En ligne : https://doi.org/10.1007/s10803-017-3119-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=314 “Is voice a marker for Autism spectrum disorder? A systematic review and meta-analysis” / Riccardo FUSAROLI in Autism Research, 10-3 (March 2017)
[article]
Titre : “Is voice a marker for Autism spectrum disorder? A systematic review and meta-analysis” Type de document : Texte imprimé et/ou numérique Auteurs : Riccardo FUSAROLI, Auteur ; Anna LAMBRECHTS, Auteur ; Dan BANG, Auteur ; Dermot M. BOWLER, Auteur ; Sebastian B. GAIGG, Auteur Article en page(s) : p.384-407 Langues : Anglais (eng) Mots-clés : voice speech acoustic properties machine learning biomarker Index. décimale : PER Périodiques Résumé : Individuals with Autism Spectrum Disorder (ASD) tend to show distinctive, atypical acoustic patterns of speech. These behaviors affect social interactions and social development and could represent a non-invasive marker for ASD. We systematically reviewed the literature quantifying acoustic patterns in ASD. Search terms were: (prosody OR intonation OR inflection OR intensity OR pitch OR fundamental frequency OR speech rate OR voice quality OR acoustic) AND (autis* OR Asperger). Results were filtered to include only: empirical studies quantifying acoustic features of vocal production in ASD, with a sample size >2, and the inclusion of a neurotypical comparison group and/or correlations between acoustic measures and severity of clinical features. We identified 34 articles, including 30 univariate studies and 15 multivariate machine-learning studies. We performed meta-analyses of the univariate studies, identifying significant differences in mean pitch and pitch range between individuals with ASD and comparison participants (Cohen's d of 0.4–0.5 and discriminatory accuracy of about 61–64%). The multivariate studies reported higher accuracies than the univariate studies (63–96%). However, the methods used and the acoustic features investigated were too diverse for performing meta-analysis. We conclude that multivariate studies of acoustic patterns are a promising but yet unsystematic avenue for establishing ASD markers. We outline three recommendations for future studies: open data, open methods, and theory-driven research. En ligne : http://dx.doi.org/10.1002/aur.1678 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304
in Autism Research > 10-3 (March 2017) . - p.384-407[article] “Is voice a marker for Autism spectrum disorder? A systematic review and meta-analysis” [Texte imprimé et/ou numérique] / Riccardo FUSAROLI, Auteur ; Anna LAMBRECHTS, Auteur ; Dan BANG, Auteur ; Dermot M. BOWLER, Auteur ; Sebastian B. GAIGG, Auteur . - p.384-407.
Langues : Anglais (eng)
in Autism Research > 10-3 (March 2017) . - p.384-407
Mots-clés : voice speech acoustic properties machine learning biomarker Index. décimale : PER Périodiques Résumé : Individuals with Autism Spectrum Disorder (ASD) tend to show distinctive, atypical acoustic patterns of speech. These behaviors affect social interactions and social development and could represent a non-invasive marker for ASD. We systematically reviewed the literature quantifying acoustic patterns in ASD. Search terms were: (prosody OR intonation OR inflection OR intensity OR pitch OR fundamental frequency OR speech rate OR voice quality OR acoustic) AND (autis* OR Asperger). Results were filtered to include only: empirical studies quantifying acoustic features of vocal production in ASD, with a sample size >2, and the inclusion of a neurotypical comparison group and/or correlations between acoustic measures and severity of clinical features. We identified 34 articles, including 30 univariate studies and 15 multivariate machine-learning studies. We performed meta-analyses of the univariate studies, identifying significant differences in mean pitch and pitch range between individuals with ASD and comparison participants (Cohen's d of 0.4–0.5 and discriminatory accuracy of about 61–64%). The multivariate studies reported higher accuracies than the univariate studies (63–96%). However, the methods used and the acoustic features investigated were too diverse for performing meta-analysis. We conclude that multivariate studies of acoustic patterns are a promising but yet unsystematic avenue for establishing ASD markers. We outline three recommendations for future studies: open data, open methods, and theory-driven research. En ligne : http://dx.doi.org/10.1002/aur.1678 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304