Language ENvironment Analysis (LENA) in Phelan-McDermid Syndrome: Validity and Suggestions for Use in Minimally Verbal Children with Autism Spectrum Disorder / Jacquelin RANKINE 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.1605-1617 Titre : Language ENvironment Analysis (LENA) in Phelan-McDermid Syndrome: Validity and Suggestions for Use in Minimally Verbal Children with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Jacquelin RANKINE, Auteur ; Erin LI, Auteur ; Stacey LURIE, Auteur ; Hillary RIEGER, Auteur ; Emily FOURIE, Auteur ; Paige M. SIPER, Auteur ; A. Ting WANG, Auteur ; Joseph D. BUXBAUM, Auteur ; Alexander KOLEVZON, Auteur Article en page(s) : p.1605-1617 Langues : Anglais (eng) Mots-clés : Phelan-McDermid syndrome  22q13 deletion syndrome  Autism spectrum disorder  Automated vocal analysis  Language ENvironment  Analysis  Minimally verbal Index. décimale : PER Périodiques Résumé : Phelan-McDermid syndrome (PMS) is a single-locus cause of developmental delay, autism spectrum disorder, and minimal verbal abilities. There is an urgent need to identify objective outcome measures of expressive language for use in this and other minimally verbal populations. One potential tool is an automated language processor called Language ENvironment Analysis (LENA). LENA was used to obtain over 542 h of audio in 18 children with PMS. LENA performance was adequate in a subset of children with PMS, specifically younger children and those with fewer stereotypic vocalizations. One LENA-derived language measure, Vocalization Ratio, had improved accuracy in this sample and may represent a novel expressive language measure for use in severely affected populations. En ligne : http://dx.doi.org/10.1007/s10803-017-3082-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=308 [article] Language ENvironment Analysis (LENA) in Phelan-McDermid Syndrome: Validity and Suggestions for Use in Minimally Verbal Children with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Jacquelin RANKINE, Auteur ; Erin LI, Auteur ; Stacey LURIE, Auteur ; Hillary RIEGER, Auteur ; Emily FOURIE, Auteur ; Paige M. SIPER, Auteur ; A. Ting WANG, Auteur ; Joseph D. BUXBAUM, Auteur ; Alexander KOLEVZON, Auteur . - p.1605-1617. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 47-6 (June 2017) . - p.1605-1617 Mots-clés : Phelan-McDermid syndrome  22q13 deletion syndrome  Autism spectrum disorder  Automated vocal analysis  Language ENvironment  Analysis  Minimally verbal Index. décimale : PER Périodiques Résumé : Phelan-McDermid syndrome (PMS) is a single-locus cause of developmental delay, autism spectrum disorder, and minimal verbal abilities. There is an urgent need to identify objective outcome measures of expressive language for use in this and other minimally verbal populations. One potential tool is an automated language processor called Language ENvironment Analysis (LENA). LENA was used to obtain over 542 h of audio in 18 children with PMS. LENA performance was adequate in a subset of children with PMS, specifically younger children and those with fewer stereotypic vocalizations. One LENA-derived language measure, Vocalization Ratio, had improved accuracy in this sample and may represent a novel expressive language measure for use in severely affected populations. En ligne : http://dx.doi.org/10.1007/s10803-017-3082-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=308

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