Language ENvironment Analysis (LENA) in Phelan-McDermid Syndrome: Validity and Suggestions for Use in Minimally Verbal Children with Autism Spectrum Disorder.
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 a...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 47; no. 6; pp. 1605 - 1618 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123057570&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123057570 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: Jun2017 vid: 47 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 123057570 123057570 144068802 123057570 10.1007/s10803-017-3082-8 123057570 ppf: 1605 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Language ENvironment Analysis (LENA) in Phelan-McDermid Syndrome: Validity and Suggestions for Use in Minimally Verbal Children with Autism Spectrum Disorder. aug: au: Rankine, Jacquelin Li, Erin Lurie, Stacey Rieger, Hillary Fourie, Emily Siper, Paige Wang, A. Buxbaum, Joseph Kolevzon, Alexander affil: Seaver Autism Center for Research and Treatment , Icahn School of Medicine at Mount Sinai , One Gustave L. Levy Place New York 10029 USA sug: subj: Language Disorders Diagnosis Autism Spectrum Disorder Developmental Disabilities Instrument Validation Speech and Language Assessment Human Syndrome Clinical Assessment Tools Reliability and Validity ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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