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 Auteurs : Tiffany G. WOYNAROSKI, Auteur ; Linda R. WATSON, Auteur ; Elizabeth GARDNER, Auteur ; Cassandra R. NEWSOM, Auteur ; Bahar KEÇELI-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] / Tiffany G. WOYNAROSKI, Auteur ; Linda R. WATSON, Auteur ; Elizabeth GARDNER, Auteur ; Cassandra R. NEWSOM, Auteur ; Bahar KEÇELI-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

Examining the latent structure and correlates of sensory reactivity in autism: a multi-site integrative data analysis by the autism sensory research consortium / Roseann SCHAAF ; Karla K. AUSDERAU ; Grace T. BARANEK ; D Jonah BARRETT ; Carissa J. CASCIO ; Rachel L. DUMONT ; Ekomobong E. Eyoh ; Michelle D. FAILLA ; Jacob I. FELDMAN ; Jennifer H. FOSS-FEIG ; Heather L. GREEN ; Shulamite A. GREEN ; Jason L. HE ; Elizabeth A. KAPLAN-KAHN ; Bahar KEÇELI-KAYSILI ; Keren MACLENNAN ; Zoe MAILLOUX ; Elysa J. MARCO ; Lisa E. MASH ; Elizabeth P. MCKERNAN ; Sophie MOLHOLM ; Stewart H. MOSTOFSKY ; Nicolaas A. J. PUTS ; Caroline E. ROBERTSON ; Natalie RUSSO ; Nicole SHEA ; John SIDERIS ; James S. SUTCLIFFE ; Teresa TAVASSOLI ; Mark T. WALLACE ; Ericka L. WODKA ; Tiffany G. WOYNAROSKI in Molecular Autism, 14 (2023)  

Public ISBD [article]  inMolecular Autism > 14 (2023) . - 31 p. Titre : Examining the latent structure and correlates of sensory reactivity in autism: a multi-site integrative data analysis by the autism sensory research consortium Type de document : texte imprimé Auteurs : Roseann SCHAAF, Auteur ; Karla K. AUSDERAU, Auteur ; Grace T. BARANEK, Auteur ; D Jonah BARRETT, Auteur ; Carissa J. CASCIO, Auteur ; Rachel L. DUMONT, Auteur ; Ekomobong E. Eyoh, Auteur ; Michelle D. FAILLA, Auteur ; Jacob I. FELDMAN, Auteur ; Jennifer H. FOSS-FEIG, Auteur ; Heather L. GREEN, Auteur ; Shulamite A. GREEN, Auteur ; Jason L. HE, Auteur ; Elizabeth A. KAPLAN-KAHN, Auteur ; Bahar KEÇELI-KAYSILI, Auteur ; Keren MACLENNAN, Auteur ; Zoe MAILLOUX, Auteur ; Elysa J. MARCO, Auteur ; Lisa E. MASH, Auteur ; Elizabeth P. MCKERNAN, Auteur ; Sophie MOLHOLM, Auteur ; Stewart H. MOSTOFSKY, Auteur ; Nicolaas A. J. PUTS, Auteur ; Caroline E. ROBERTSON, Auteur ; Natalie RUSSO, Auteur ; Nicole SHEA, Auteur ; John SIDERIS, Auteur ; James S. SUTCLIFFE, Auteur ; Teresa TAVASSOLI, Auteur ; Mark T. WALLACE, Auteur ; Ericka L. WODKA, Auteur ; Tiffany G. WOYNAROSKI, Auteur Article en page(s) : 31 p. Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : BACKGROUND: Differences in responding to sensory stimuli, including sensory hyperreactivity (HYPER), hyporeactivity (HYPO), and sensory seeking (SEEK) have been observed in autistic individuals across sensory modalities, but few studies have examined the structure of these "supra-modal" traits in the autistic population. METHODS: Leveraging a combined sample of 3868 autistic youth drawn from 12 distinct data sources (ages 3-18 years and representing the full range of cognitive ability), the current study used modern psychometric and meta-analytic techniques to interrogate the latent structure and correlates of caregiver-reported HYPER, HYPO, and SEEK within and across sensory modalities. Bifactor statistical indices were used to both evaluate the strength of a "general response pattern" factor for each supra-modal construct and determine the added value of "modality-specific response pattern" scores (e.g., Visual HYPER). Bayesian random-effects integrative data analysis models were used to examine the clinical and demographic correlates of all interpretable HYPER, HYPO, and SEEK (sub)constructs. RESULTS: All modality-specific HYPER subconstructs could be reliably and validly measured, whereas certain modality-specific HYPO and SEEK subconstructs were psychometrically inadequate when measured using existing items. Bifactor analyses supported the validity of a supra-modal HYPER construct (?(H)=.800) but not a supra-modal HYPO construct (?(H)=.653), and supra-modal SEEK models suggested a more limited version of the construct that excluded some sensory modalities (?(H)=.800; 4/7 modalities). Modality-specific subscales demonstrated significant added value for all response patterns. Meta-analytic correlations varied by construct, although sensory features tended to correlate most with other domains of core autism features and co-occurring psychiatric symptoms (with general HYPER and speech HYPO demonstrating the largest numbers of practically significant correlations). LIMITATIONS: Conclusions may not be generalizable beyond the specific pool of items used in the current study, which was limited to caregiver report of observable behaviors and excluded multisensory items that reflect many "real-world" sensory experiences. CONCLUSION: Of the three sensory response patterns, only HYPER demonstrated sufficient evidence for valid interpretation at the supra-modal level, whereas supra-modal HYPO/SEEK constructs demonstrated substantial psychometric limitations. For clinicians and researchers seeking to characterize sensory reactivity in autism, modality-specific response pattern scores may represent viable alternatives that overcome many of these limitations. En ligne : http://dx.doi.org/10.1186/s13229-023-00563-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513 [article] Examining the latent structure and correlates of sensory reactivity in autism: a multi-site integrative data analysis by the autism sensory research consortium [texte imprimé] / Roseann SCHAAF, Auteur ; Karla K. AUSDERAU, Auteur ; Grace T. BARANEK, Auteur ; D Jonah BARRETT, Auteur ; Carissa J. CASCIO, Auteur ; Rachel L. DUMONT, Auteur ; Ekomobong E. Eyoh, Auteur ; Michelle D. FAILLA, Auteur ; Jacob I. FELDMAN, Auteur ; Jennifer H. FOSS-FEIG, Auteur ; Heather L. GREEN, Auteur ; Shulamite A. GREEN, Auteur ; Jason L. HE, Auteur ; Elizabeth A. KAPLAN-KAHN, Auteur ; Bahar KEÇELI-KAYSILI, Auteur ; Keren MACLENNAN, Auteur ; Zoe MAILLOUX, Auteur ; Elysa J. MARCO, Auteur ; Lisa E. MASH, Auteur ; Elizabeth P. MCKERNAN, Auteur ; Sophie MOLHOLM, Auteur ; Stewart H. MOSTOFSKY, Auteur ; Nicolaas A. J. PUTS, Auteur ; Caroline E. ROBERTSON, Auteur ; Natalie RUSSO, Auteur ; Nicole SHEA, Auteur ; John SIDERIS, Auteur ; James S. SUTCLIFFE, Auteur ; Teresa TAVASSOLI, Auteur ; Mark T. WALLACE, Auteur ; Ericka L. WODKA, Auteur ; Tiffany G. WOYNAROSKI, Auteur . - 31 p. Langues : Anglais (eng) in Molecular Autism > 14 (2023) . - 31 p. Index. décimale : PER Périodiques Résumé : BACKGROUND: Differences in responding to sensory stimuli, including sensory hyperreactivity (HYPER), hyporeactivity (HYPO), and sensory seeking (SEEK) have been observed in autistic individuals across sensory modalities, but few studies have examined the structure of these "supra-modal" traits in the autistic population. METHODS: Leveraging a combined sample of 3868 autistic youth drawn from 12 distinct data sources (ages 3-18 years and representing the full range of cognitive ability), the current study used modern psychometric and meta-analytic techniques to interrogate the latent structure and correlates of caregiver-reported HYPER, HYPO, and SEEK within and across sensory modalities. Bifactor statistical indices were used to both evaluate the strength of a "general response pattern" factor for each supra-modal construct and determine the added value of "modality-specific response pattern" scores (e.g., Visual HYPER). Bayesian random-effects integrative data analysis models were used to examine the clinical and demographic correlates of all interpretable HYPER, HYPO, and SEEK (sub)constructs. RESULTS: All modality-specific HYPER subconstructs could be reliably and validly measured, whereas certain modality-specific HYPO and SEEK subconstructs were psychometrically inadequate when measured using existing items. Bifactor analyses supported the validity of a supra-modal HYPER construct (?(H)=.800) but not a supra-modal HYPO construct (?(H)=.653), and supra-modal SEEK models suggested a more limited version of the construct that excluded some sensory modalities (?(H)=.800; 4/7 modalities). Modality-specific subscales demonstrated significant added value for all response patterns. Meta-analytic correlations varied by construct, although sensory features tended to correlate most with other domains of core autism features and co-occurring psychiatric symptoms (with general HYPER and speech HYPO demonstrating the largest numbers of practically significant correlations). LIMITATIONS: Conclusions may not be generalizable beyond the specific pool of items used in the current study, which was limited to caregiver report of observable behaviors and excluded multisensory items that reflect many "real-world" sensory experiences. CONCLUSION: Of the three sensory response patterns, only HYPER demonstrated sufficient evidence for valid interpretation at the supra-modal level, whereas supra-modal HYPO/SEEK constructs demonstrated substantial psychometric limitations. For clinicians and researchers seeking to characterize sensory reactivity in autism, modality-specific response pattern scores may represent viable alternatives that overcome many of these limitations. En ligne : http://dx.doi.org/10.1186/s13229-023-00563-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513

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 KEÇELI-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 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 KEÇELI-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] / 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 KEÇELI-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

Predicting Intentional Communication in Preverbal Preschoolers with Autism Spectrum Disorder / Micheal SANDBANK in Journal of Autism and Developmental Disorders, 47-6 (June 2017)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 47-6 (June 2017) . - p.1581-1594 Titre : Predicting Intentional Communication in Preverbal Preschoolers with Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Micheal SANDBANK, Auteur ; Tiffany G. WOYNAROSKI, Auteur ; Linda R. WATSON, Auteur ; Elizabeth GARDNER, Auteur ; Bahar KEÇELI-KAYSILI, Auteur ; Paul J. YODER, Auteur Article en page(s) : p.1581-1594 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Intentional communication  Motor imitation  Predictors Longitudinal Index. décimale : PER Périodiques Résumé : Intentional communication has previously been identified as a value-added predictor of expressive language in preverbal preschoolers with autism spectrum disorder. In the present study, we sought to identify value-added predictors of intentional communication. Of five theoretically-motivated putative predictors of intentional communication measured early in the study (at study entry and 4 months after), three had significant zero-order correlations with later intentional communication (12 months after study entry) and were thus added to a linear model that predicted later intentional communication scores controlling for initial intentional communication scores at study entry. After controlling for initial intentional communication, early motor imitation was the only predictor that accounted for a significant amount of variance in children’s later intentional communication. En ligne : http://dx.doi.org/10.1007/s10803-017-3052-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=307 [article] Predicting Intentional Communication in Preverbal Preschoolers with Autism Spectrum Disorder [texte imprimé] / Micheal SANDBANK, Auteur ; Tiffany G. WOYNAROSKI, Auteur ; Linda R. WATSON, Auteur ; Elizabeth GARDNER, Auteur ; Bahar KEÇELI-KAYSILI, Auteur ; Paul J. YODER, Auteur . - p.1581-1594. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 47-6 (June 2017) . - p.1581-1594 Mots-clés : Autism spectrum disorder  Intentional communication  Motor imitation  Predictors Longitudinal Index. décimale : PER Périodiques Résumé : Intentional communication has previously been identified as a value-added predictor of expressive language in preverbal preschoolers with autism spectrum disorder. In the present study, we sought to identify value-added predictors of intentional communication. Of five theoretically-motivated putative predictors of intentional communication measured early in the study (at study entry and 4 months after), three had significant zero-order correlations with later intentional communication (12 months after study entry) and were thus added to a linear model that predicted later intentional communication scores controlling for initial intentional communication scores at study entry. After controlling for initial intentional communication, early motor imitation was the only predictor that accounted for a significant amount of variance in children’s later intentional communication. En ligne : http://dx.doi.org/10.1007/s10803-017-3052-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=307

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 Auteurs : Tiffany G. WOYNAROSKI, Auteur ; D. Kimbrough OLLER, Auteur ; Bahar KEÇELI-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] / Tiffany G. WOYNAROSKI, Auteur ; D. Kimbrough OLLER, Auteur ; Bahar KEÇELI-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

The stability of joint engagement states in infant siblings of children with and without ASD: Implications for measurement practices / Kristen BOTTEMA-BEUTEL in Autism Research, 12-3 (March 2019)  

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