Canonical babbling trajectories across the first year of life in autism and typical development / Gordon RAMSAY ; Edina R. BENE ; Pumpki Lei SU ; Hyunjoo YOO ; Cheryl KLAIMAN ; Stormi L. PULVER ; Shana RICHARDSON ; Moira L. PILEGGI ; Natalie BRANE ; D. Kimbrough OLLER in Autism, 28-12 (December 2024)  

Public ISBD [article]  inAutism > 28-12 (December 2024) . - p.3078-3091 Titre : Canonical babbling trajectories across the first year of life in autism and typical development Type de document : Texte imprimé et/ou numérique Auteurs : Gordon RAMSAY, Auteur ; Edina R. BENE, Auteur ; Pumpki Lei SU, Auteur ; Hyunjoo YOO, Auteur ; Cheryl KLAIMAN, Auteur ; Stormi L. PULVER, Auteur ; Shana RICHARDSON, Auteur ; Moira L. PILEGGI, Auteur ; Natalie BRANE, Auteur ; D. Kimbrough OLLER, Auteur Article en page(s) : p.3078-3091 Langues : Anglais (eng) Mots-clés : autism spectrum disorders  canonical babbling  communication and language  early detection  vocal development Index. décimale : PER Périodiques Résumé : This study explores vocal development as an early marker of autism, focusing on canonical babbling rate and onset, typically established by 7 months. Previous reports suggested delayed or reduced canonical babbling in infants later diagnosed with autism, but the story may be complicated. We present a prospective study on 44 infants later diagnosed with autism spectrum disorder compared with 127 infants later identified as typically developing who were followed longitudinally with day-long recordings from 0 to 13 months. Eight 5-min segments from each of their recordings were coded for canonical and noncanonical syllables. The results confirmed many reports that canonical babbling is a robust feature of human vocal development in the first year of life, with small overall mean differences in canonical babbling rates between the autism spectrum disorder and typically developing groups beginning around 9?months, primarily in males. Our findings highlight the importance of considering sex differences in vocal communication as part of the early detection and diagnosis of autism when determining the need for communication supports to maximize outcomes. Lay Abstract Our study examined how babies develop their ability to talk to help identify early signs of autism. We looked at babies' production of babbling with mature syllables across the first year of life. Babies usually start producing mature babbling at 7 months of age before they say their first words. Some studies have suggested that babies who are later diagnosed with autism produce this kind of babbling less frequently in their first year of life, but other studies have shown complicated outcomes. In this new study, we followed 44 autistic babies and compared them to 127 typically developing babies. We recorded the babies once every month, all day long, from the time that they were born until they were around 13?months old. Then, we studied their mature babbling from segments of these recordings. We found that the rate at which babies used mature babbling was lower in boys with autism, and higher in girls with autism, compared to babies without autism. This research helps us understand how babies with autism learn to talk. It also raises important questions about differences between boys and girls with autism. Our study can help us improve how scientists and clinicians can identify autism earlier, which could lead to better communication supports for autistic children and their families. En ligne : https://dx.doi.org/10.1177/13623613241253908 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=543 [article] Canonical babbling trajectories across the first year of life in autism and typical development [Texte imprimé et/ou numérique] / Gordon RAMSAY, Auteur ; Edina R. BENE, Auteur ; Pumpki Lei SU, Auteur ; Hyunjoo YOO, Auteur ; Cheryl KLAIMAN, Auteur ; Stormi L. PULVER, Auteur ; Shana RICHARDSON, Auteur ; Moira L. PILEGGI, Auteur ; Natalie BRANE, Auteur ; D. Kimbrough OLLER, Auteur . - p.3078-3091. Langues : Anglais (eng) in Autism > 28-12 (December 2024) . - p.3078-3091 Mots-clés : autism spectrum disorders  canonical babbling  communication and language  early detection  vocal development Index. décimale : PER Périodiques Résumé : This study explores vocal development as an early marker of autism, focusing on canonical babbling rate and onset, typically established by 7 months. Previous reports suggested delayed or reduced canonical babbling in infants later diagnosed with autism, but the story may be complicated. We present a prospective study on 44 infants later diagnosed with autism spectrum disorder compared with 127 infants later identified as typically developing who were followed longitudinally with day-long recordings from 0 to 13 months. Eight 5-min segments from each of their recordings were coded for canonical and noncanonical syllables. The results confirmed many reports that canonical babbling is a robust feature of human vocal development in the first year of life, with small overall mean differences in canonical babbling rates between the autism spectrum disorder and typically developing groups beginning around 9?months, primarily in males. Our findings highlight the importance of considering sex differences in vocal communication as part of the early detection and diagnosis of autism when determining the need for communication supports to maximize outcomes. Lay Abstract Our study examined how babies develop their ability to talk to help identify early signs of autism. We looked at babies' production of babbling with mature syllables across the first year of life. Babies usually start producing mature babbling at 7 months of age before they say their first words. Some studies have suggested that babies who are later diagnosed with autism produce this kind of babbling less frequently in their first year of life, but other studies have shown complicated outcomes. In this new study, we followed 44 autistic babies and compared them to 127 typically developing babies. We recorded the babies once every month, all day long, from the time that they were born until they were around 13?months old. Then, we studied their mature babbling from segments of these recordings. We found that the rate at which babies used mature babbling was lower in boys with autism, and higher in girls with autism, compared to babies without autism. This research helps us understand how babies with autism learn to talk. It also raises important questions about differences between boys and girls with autism. Our study can help us improve how scientists and clinicians can identify autism earlier, which could lead to better communication supports for autistic children and their families. En ligne : https://dx.doi.org/10.1177/13623613241253908 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=543

Erratum to: Vocal Patterns in Infants with Autism Spectrum Disorder: Canonical Babbling Status and Vocalization Frequency / Elena PATTEN in Journal of Autism and Developmental Disorders, 44-10 (October 2014)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 44-10 (October 2014) . - p.2429-2429 Titre : Erratum to: Vocal Patterns in Infants with Autism Spectrum Disorder: Canonical Babbling Status and Vocalization Frequency Type de document : Texte imprimé et/ou numérique Auteurs : Elena PATTEN, Auteur ; Katie BELARDI, Auteur ; Grace T. BARANEK, Auteur ; Linda R. WATSON, Auteur ; Jeffrey D. LABBAN, Auteur ; D. Kimbrough OLLER, Auteur Article en page(s) : p.2429-2429 Langues : Anglais (eng) Index. décimale : PER Périodiques En ligne : http://dx.doi.org/10.1007/s10803-014-2214-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=240 [article] Erratum to: Vocal Patterns in Infants with Autism Spectrum Disorder: Canonical Babbling Status and Vocalization Frequency [Texte imprimé et/ou numérique] / Elena PATTEN, Auteur ; Katie BELARDI, Auteur ; Grace T. BARANEK, Auteur ; Linda R. WATSON, Auteur ; Jeffrey D. LABBAN, Auteur ; D. Kimbrough OLLER, Auteur . - p.2429-2429. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 44-10 (October 2014) . - p.2429-2429 Index. décimale : PER Périodiques En ligne : http://dx.doi.org/10.1007/s10803-014-2214-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=240

Foundations of Vocal Category Development in Autistic Infants / Pumpki Lei SU in Journal of Autism and Developmental Disorders, 55-3 (March 2025)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 55-3 (March 2025) . - p.862-872 Titre : Foundations of Vocal Category Development in Autistic Infants Type de document : Texte imprimé et/ou numérique Auteurs : Pumpki Lei SU, Auteur ; Hyunjoo YOO, Auteur ; Gordon RAMSAY, Auteur ; Helen L. LONG, Auteur ; Edina R. BENE, Auteur ; Cheryl KLAIMAN, Auteur ; Stormi L. PULVER, Auteur ; Shana RICHARDSON, Auteur ; Moira L. PILEGGI, Auteur ; Natalie BRANE, Auteur ; D. Kimbrough OLLER, Auteur Article en page(s) : p.862-872 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : The present study compared the infant?s tendency in the first year of life to produce clusters of particular vocal types (squeals, vocants, and growls) in typically developing (TD) and autistic infants. Vocal clustering provides evidence of vocal category formation and may establish a foundation for speech development. Specifically, we compared the extent of vocal clustering across outcome groups and age groups. We also examined the associations between the extent of vocal clustering and later outcomes at 2 years within the autistic group. Randomly selected 5-min segments (27,153 5-min segments total) from 1293 all-day home recordings from 103 TD infants and 44 autistic infants across the first year were humancoded (about 9.75 h of data coded per infant on average) to derive vocal clustering patterns. Fisher?s exact tests were used to compare the occurrence of squeals versus vocants, as well as growls versus vocants, across coded segments. Infants in both groups demonstrated clear clustering patterns of squeals and growls across all age groups. The extent of vocal clustering in the autistic group did not correlate significantly with later language, repetitive behavior, or autism severity outcomes. These findings highlight the robustness of the systematic production of vocal categories across the first year of life. The similarity of the clustering patterns in the TD and autistic groups suggests that vocal category formation through active infant vocal exploration is a robust feature of early speech development. En ligne : https://doi.org/10.1007/s10803-024-06267-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=548 [article] Foundations of Vocal Category Development in Autistic Infants [Texte imprimé et/ou numérique] / Pumpki Lei SU, Auteur ; Hyunjoo YOO, Auteur ; Gordon RAMSAY, Auteur ; Helen L. LONG, Auteur ; Edina R. BENE, Auteur ; Cheryl KLAIMAN, Auteur ; Stormi L. PULVER, Auteur ; Shana RICHARDSON, Auteur ; Moira L. PILEGGI, Auteur ; Natalie BRANE, Auteur ; D. Kimbrough OLLER, Auteur . - p.862-872. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 55-3 (March 2025) . - p.862-872 Index. décimale : PER Périodiques Résumé : The present study compared the infant?s tendency in the first year of life to produce clusters of particular vocal types (squeals, vocants, and growls) in typically developing (TD) and autistic infants. Vocal clustering provides evidence of vocal category formation and may establish a foundation for speech development. Specifically, we compared the extent of vocal clustering across outcome groups and age groups. We also examined the associations between the extent of vocal clustering and later outcomes at 2 years within the autistic group. Randomly selected 5-min segments (27,153 5-min segments total) from 1293 all-day home recordings from 103 TD infants and 44 autistic infants across the first year were humancoded (about 9.75 h of data coded per infant on average) to derive vocal clustering patterns. Fisher?s exact tests were used to compare the occurrence of squeals versus vocants, as well as growls versus vocants, across coded segments. Infants in both groups demonstrated clear clustering patterns of squeals and growls across all age groups. The extent of vocal clustering in the autistic group did not correlate significantly with later language, repetitive behavior, or autism severity outcomes. These findings highlight the robustness of the systematic production of vocal categories across the first year of life. The similarity of the clustering patterns in the TD and autistic groups suggests that vocal category formation through active infant vocal exploration is a robust feature of early speech development. En ligne : https://doi.org/10.1007/s10803-024-06267-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=548

Stability and Validity of an Automated Measure of Vocal Development From Day-Long Samples in Children With and Without Autism Spectrum Disorder / Paul J. YODER in Autism Research, 6-2 (April 2013)  

Public ISBD [article]  inAutism Research > 6-2 (April 2013) . - p.103-107 Titre : Stability and Validity of an Automated Measure of Vocal Development From Day-Long Samples in Children With and Without Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Paul J. YODER, Auteur ; D. Kimbrough OLLER, Auteur ; Jeffrey A. RICHARDS, Auteur ; Sharmistha GRAY, Auteur ; Jill GILKERSON, Auteur Année de publication : 2013 Article en page(s) : p.103-107 Langues : Anglais (eng) Mots-clés : infants  pediatrics  developmental psychology  clinical psychology Index. décimale : PER Périodiques Résumé : Individual difference measures of vocal development may eventually aid our understanding of the variability in spoken language acquisition in children with autism spectrum disorder (ASD). Large samples of child vocalizations may be needed to maximize the stability of vocal development estimates. Day-long vocal samples can now be automatically analyzed based on acoustic characteristics of speech likeness identified in theoretically driven and empirically cross-validated quantitative models of typical vocal development. This report indicates that a single day-long recording can produce a stable estimate for a measure of vocal development that is highly related to expressive spoken language in a group of young children with ASD and in a group that is typically developing. En ligne : http://dx.doi.org/10.1002/aur.1271 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=199 [article] Stability and Validity of an Automated Measure of Vocal Development From Day-Long Samples in Children With and Without Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Paul J. YODER, Auteur ; D. Kimbrough OLLER, Auteur ; Jeffrey A. RICHARDS, Auteur ; Sharmistha GRAY, Auteur ; Jill GILKERSON, Auteur . - 2013 . - p.103-107. Langues : Anglais (eng) in Autism Research > 6-2 (April 2013) . - p.103-107 Mots-clés : infants  pediatrics  developmental psychology  clinical psychology Index. décimale : PER Périodiques Résumé : Individual difference measures of vocal development may eventually aid our understanding of the variability in spoken language acquisition in children with autism spectrum disorder (ASD). Large samples of child vocalizations may be needed to maximize the stability of vocal development estimates. Day-long vocal samples can now be automatically analyzed based on acoustic characteristics of speech likeness identified in theoretically driven and empirically cross-validated quantitative models of typical vocal development. This report indicates that a single day-long recording can produce a stable estimate for a measure of vocal development that is highly related to expressive spoken language in a group of young children with ASD and in a group that is typically developing. En ligne : http://dx.doi.org/10.1002/aur.1271 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=199

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

Vocal Patterns in Infants with Autism Spectrum Disorder: Canonical Babbling Status and Vocalization Frequency / Elena PATTEN in Journal of Autism and Developmental Disorders, 44-10 (October 2014)  

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What Automated Vocal Analysis Reveals About the Vocal Production and Language Learning Environment of Young Children with Autism / Steven F. WARREN in Journal of Autism and Developmental Disorders, 40-5 (May 2010)  

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