Early Predictors of Growth in Diversity of Key Consonants Used in Communication in Initially Preverbal Children with Autism Spectrum Disorder / Tiffany G. WOYNAROSKI in Journal of Autism and Developmental Disorders, 46-3 (March 2016)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 46-3 (March 2016) . - p.1013-1024 Titre : Early Predictors of Growth in Diversity of Key Consonants Used in Communication in Initially Preverbal Children with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Tiffany G. WOYNAROSKI, Auteur ; Linda R. WATSON, Auteur ; Elizabeth GARDNER, Auteur ; Cassandra R. NEWSOM, Auteur ; Bahar KECELI-KAYSILI, Auteur ; Paul J. YODER, Auteur Article en page(s) : p.1013-1024 Langues : Anglais (eng) Mots-clés : Vocal communication  Consonant inventory  Predictors  Autism  Intentional communication  Parent linguistic responses  Receptive vocabulary Index. décimale : PER Périodiques Résumé : Diversity of key consonants used in communication (DKCC) is a value-added predictor of expressive language growth in initially preverbal children with autism spectrum disorder (ASD). Studying the predictors of DKCC growth in young children with ASD might inform treatment of this under-studied aspect of prelinguistic development. Eighty-seven initially preverbal preschoolers with ASD and their parents were observed at five measurement periods. In this longitudinal correlational investigation, we found that child intentional communication acts and parent linguistic responses to child leads predicted DKCC growth, after controlling for two other predictors and two background variables. As predicted, receptive vocabulary mediated the association between the value-added predictors and endpoint DKCC. En ligne : http://dx.doi.org/10.1007/s10803-015-2647-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=281 [article] Early Predictors of Growth in Diversity of Key Consonants Used in Communication in Initially Preverbal Children with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Tiffany G. WOYNAROSKI, Auteur ; Linda R. WATSON, Auteur ; Elizabeth GARDNER, Auteur ; Cassandra R. NEWSOM, Auteur ; Bahar KECELI-KAYSILI, Auteur ; Paul J. YODER, Auteur . - p.1013-1024. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 46-3 (March 2016) . - p.1013-1024 Mots-clés : Vocal communication  Consonant inventory  Predictors  Autism  Intentional communication  Parent linguistic responses  Receptive vocabulary Index. décimale : PER Périodiques Résumé : Diversity of key consonants used in communication (DKCC) is a value-added predictor of expressive language growth in initially preverbal children with autism spectrum disorder (ASD). Studying the predictors of DKCC growth in young children with ASD might inform treatment of this under-studied aspect of prelinguistic development. Eighty-seven initially preverbal preschoolers with ASD and their parents were observed at five measurement periods. In this longitudinal correlational investigation, we found that child intentional communication acts and parent linguistic responses to child leads predicted DKCC growth, after controlling for two other predictors and two background variables. As predicted, receptive vocabulary mediated the association between the value-added predictors and endpoint DKCC. En ligne : http://dx.doi.org/10.1007/s10803-015-2647-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=281

Longitudinal Relations Between Early Sensory Responsiveness and Later Communication in Infants with Autistic and Non-autistic Siblings / Varsha GARLA ; Kacie DUNHAM ; Jennifer E. MARKFELD ; Sarah M. BOWMAN ; Alexandra J. GOLDEN ; Claire DALY ; Sophia KAISER ; Nisha MAILAPUR ; Sweeya RAJ ; Pooja SANTAPURAM ; Evan SUZMAN ; Ashley E. AUGUSTINE ; Aine MUHUMUZA ; Carissa J. CASCIO ; Kathryn L. WILLIAMS ; Anne V. KIRBY ; Bahar KECELI-KAYSILI ; Tiffany G. WOYNAROSKI in Journal of Autism and Developmental Disorders, 54-2 (February 2024)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 54-2 (February 2024) . - p.594-606 Titre : Longitudinal Relations Between Early Sensory Responsiveness and Later Communication in Infants with Autistic and Non-autistic Siblings Type de document : Texte imprimé et/ou numérique Auteurs : Varsha GARLA, Auteur ; Kacie DUNHAM, Auteur ; Jennifer E. MARKFELD, Auteur ; Sarah M. BOWMAN, Auteur ; Alexandra J. GOLDEN, Auteur ; Claire DALY, Auteur ; Sophia KAISER, Auteur ; Nisha MAILAPUR, Auteur ; Sweeya RAJ, Auteur ; Pooja SANTAPURAM, Auteur ; Evan SUZMAN, Auteur ; Ashley E. AUGUSTINE, Auteur ; Aine MUHUMUZA, Auteur ; Carissa J. CASCIO, Auteur ; Kathryn L. WILLIAMS, Auteur ; Anne V. KIRBY, Auteur ; Bahar KECELI-KAYSILI, Auteur ; Tiffany G. WOYNAROSKI, Auteur Article en page(s) : p.594-606 Index. décimale : PER Périodiques Résumé : Early differences in sensory responsiveness may contribute to difficulties with communication among autistic children; however, this theory has not been longitudinally assessed in infants at increased familial versus general population-level likelihood for autism (Sibs-autism vs. Sibs-NA) using a comprehensive battery of sensory responsiveness and communication. In a sample of 40 infants (20 Sibs-autism, of whom six were later diagnosed with autism; 20 Sibs-NA), we tested (a) associations between sensory responsiveness at 12?18 months and communication 9 months later and (b) evaluated whether such associations were moderated by sibling group, autism diagnosis, or age. We found negative zero-order correlations between sensory responsiveness (i.e., caregiver reported hyperresponsiveness and hyporesponsiveness; an observational measure of hyperresponsiveness) and later communication. Additionally, caregiver reported sensory seeking was negatively associated with later expressive communication only in Sibs-NA. Limitations include our relatively small sample size of infants diagnosed with autism. Implications for future research are discussed. En ligne : https://doi.org/10.1007/s10803-022-05817-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=520 [article] Longitudinal Relations Between Early Sensory Responsiveness and Later Communication in Infants with Autistic and Non-autistic Siblings [Texte imprimé et/ou numérique] / Varsha GARLA, Auteur ; Kacie DUNHAM, Auteur ; Jennifer E. MARKFELD, Auteur ; Sarah M. BOWMAN, Auteur ; Alexandra J. GOLDEN, Auteur ; Claire DALY, Auteur ; Sophia KAISER, Auteur ; Nisha MAILAPUR, Auteur ; Sweeya RAJ, Auteur ; Pooja SANTAPURAM, Auteur ; Evan SUZMAN, Auteur ; Ashley E. AUGUSTINE, Auteur ; Aine MUHUMUZA, Auteur ; Carissa J. CASCIO, Auteur ; Kathryn L. WILLIAMS, Auteur ; Anne V. KIRBY, Auteur ; Bahar KECELI-KAYSILI, Auteur ; Tiffany G. WOYNAROSKI, Auteur . - p.594-606. in Journal of Autism and Developmental Disorders > 54-2 (February 2024) . - p.594-606 Index. décimale : PER Périodiques Résumé : Early differences in sensory responsiveness may contribute to difficulties with communication among autistic children; however, this theory has not been longitudinally assessed in infants at increased familial versus general population-level likelihood for autism (Sibs-autism vs. Sibs-NA) using a comprehensive battery of sensory responsiveness and communication. In a sample of 40 infants (20 Sibs-autism, of whom six were later diagnosed with autism; 20 Sibs-NA), we tested (a) associations between sensory responsiveness at 12?18 months and communication 9 months later and (b) evaluated whether such associations were moderated by sibling group, autism diagnosis, or age. We found negative zero-order correlations between sensory responsiveness (i.e., caregiver reported hyperresponsiveness and hyporesponsiveness; an observational measure of hyperresponsiveness) and later communication. Additionally, caregiver reported sensory seeking was negatively associated with later expressive communication only in Sibs-NA. Limitations include our relatively small sample size of infants diagnosed with autism. Implications for future research are discussed. En ligne : https://doi.org/10.1007/s10803-022-05817-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=520

The stability and validity of automated vocal analysis in preverbal preschoolers with autism spectrum disorder / Tiffany G. WOYNAROSKI in Autism Research, 10-3 (March 2017)  

Public ISBD [article]  inAutism Research > 10-3 (March 2017) . - p.508-519 Titre : The stability and validity of automated vocal analysis in preverbal preschoolers with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Tiffany G. WOYNAROSKI, Auteur ; D. Kimbrough OLLER, Auteur ; Bahar KECELI-KAYSILI, Auteur ; Dongxin XU, Auteur ; Jeffrey A. RICHARDS, Auteur ; Jill GILKERSON, Auteur ; Sharmistha GRAY, Auteur ; Paul J. YODER, Auteur Article en page(s) : p.508-519 Langues : Anglais (eng) Mots-clés : useful speech  language  vocalizations  automated vocal analysis  LENA  preschool  preverbal  autism Index. décimale : PER Périodiques Résumé : Theory and research suggest that vocal development predicts “useful speech” in preschoolers with autism spectrum disorder (ASD), but conventional methods for measurement of vocal development are costly and time consuming. This longitudinal correlational study examines the reliability and validity of several automated indices of vocalization development relative to an index derived from human coded, conventional communication samples in a sample of preverbal preschoolers with ASD. Automated indices of vocal development were derived using software that is presently “in development” and/or only available for research purposes and using commercially available Language ENvironment Analysis (LENA) software. Indices of vocal development that could be derived using the software available for research purposes: (a) were highly stable with a single day-long audio recording, (b) predicted future spoken vocabulary to a degree that was nonsignificantly different from the index derived from conventional communication samples, and (c) continued to predict future spoken vocabulary even after controlling for concurrent vocabulary in our sample. The score derived from standard LENA software was similarly stable, but was not significantly correlated with future spoken vocabulary. Findings suggest that automated vocal analysis is a valid and reliable alternative to time intensive and expensive conventional communication samples for measurement of vocal development of preverbal preschoolers with ASD in research and clinical practice. En ligne : http://dx.doi.org/10.1002/aur.1667 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304 [article] The stability and validity of automated vocal analysis in preverbal preschoolers with autism spectrum disorder [Texte imprimé et/ou numérique] / Tiffany G. WOYNAROSKI, Auteur ; D. Kimbrough OLLER, Auteur ; Bahar KECELI-KAYSILI, Auteur ; Dongxin XU, Auteur ; Jeffrey A. RICHARDS, Auteur ; Jill GILKERSON, Auteur ; Sharmistha GRAY, Auteur ; Paul J. YODER, Auteur . - p.508-519. Langues : Anglais (eng) in Autism Research > 10-3 (March 2017) . - p.508-519 Mots-clés : useful speech  language  vocalizations  automated vocal analysis  LENA  preschool  preverbal  autism Index. décimale : PER Périodiques Résumé : Theory and research suggest that vocal development predicts “useful speech” in preschoolers with autism spectrum disorder (ASD), but conventional methods for measurement of vocal development are costly and time consuming. This longitudinal correlational study examines the reliability and validity of several automated indices of vocalization development relative to an index derived from human coded, conventional communication samples in a sample of preverbal preschoolers with ASD. Automated indices of vocal development were derived using software that is presently “in development” and/or only available for research purposes and using commercially available Language ENvironment Analysis (LENA) software. Indices of vocal development that could be derived using the software available for research purposes: (a) were highly stable with a single day-long audio recording, (b) predicted future spoken vocabulary to a degree that was nonsignificantly different from the index derived from conventional communication samples, and (c) continued to predict future spoken vocabulary even after controlling for concurrent vocabulary in our sample. The score derived from standard LENA software was similarly stable, but was not significantly correlated with future spoken vocabulary. Findings suggest that automated vocal analysis is a valid and reliable alternative to time intensive and expensive conventional communication samples for measurement of vocal development of preverbal preschoolers with ASD in research and clinical practice. En ligne : http://dx.doi.org/10.1002/aur.1667 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304

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