ASSESSMENT OF FUNCTIONAL BEHAVIOR OF CHILDREN WITH AUTISM SPECTRUM DISORDERS IN EARLY AGE IN COLLABORATION WITH FAMILIES AND SPEECH THERAPISTS/ANKSTYVOJO AMŽIAUS ASS TURINČIŲ VAIKŲ FUNKCINIO ELGESIO VERTINIMAS BENDRADARBIAUJANT ŠEIMOMS IR LOGOPEDUI

The aim of the research presented in this article is to reveal the possibilities of applying the methodology of the assessment of functional behavior of children with autism spectrum disorders in early age in collaboration with specialists (speech therapists) and parents. The research involved 16 speech therapists working in health and education systems. Šiame straipsnyje pateikiamo tyrimo tikslas – atskleisti ankstyvojo amžiaus autizmo spektro sutrikimą turinčių vaikų, funkcinio elgesio vertinimo metodikos taikymo galimybes, bendradarbiaujant specialistams (logopedams) ir tėvams. Tyrime dalyvavo 17 logopedų, dirbančių sveikatos apsaugos ir švietimo sistemose.

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The DIRFloortime Approach in Speech Therapy for Speech Development in Children with ADs and Other Disorders. Recommendations for Parents and Teachers

Autism and Developmental Disorders ◽

10.17759/autdd.2019170205 ◽

2019 ◽

Vol 17 (2) ◽

pp. 46-57

Author(s):

E.S. Gomozova ◽

M.A. Gomozova

Keyword(s):

Autism Spectrum Disorders ◽

Intervention Program ◽

Speech Therapy ◽

Children With Autism ◽

Autism Spectrum ◽

Speech Development ◽

Developmental Approach ◽

Spectrum Disorders ◽

Speech Therapists

The “RecheTsvetik” center offers an intervention program based on the DIRFloortime developmental approach for speech development in children with autism spectrum disorders. The main rule when working with a child is to help him learn how to use ideas and words and to associate words and ideas of a parent or a teacher with his own desires and intentions. This article provides recommendations and techniques used by DIR speech therapists to develop speech in children with autism spectrum disorders and is intended for parents and teachers.

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Detecting Abnormal Word Utterances in Children With Autism Spectrum Disorders

Perceptual and Motor Skills ◽

10.1177/0031512517716855 ◽

2017 ◽

Vol 124 (5) ◽

pp. 961-973 ◽

Cited By ~ 15

Author(s):

Yasushi Nakai ◽

Tetsuya Takiguchi ◽

Gakuyo Matsui ◽

Noriko Yamaoka ◽

Satoshi Takada

Keyword(s):

Machine Learning ◽

Autism Spectrum Disorders ◽

False Negative ◽

False Negative Rate ◽

Children With Autism ◽

Autism Spectrum ◽

Single Word ◽

Voice Analysis ◽

Spectrum Disorders ◽

Speech Therapists

Abnormal prosody is often evident in the voice intonations of individuals with autism spectrum disorders. We compared a machine-learning-based voice analysis with human hearing judgments made by 10 speech therapists for classifying children with autism spectrum disorders ( n = 30) and typical development ( n = 51). Using stimuli limited to single-word utterances, machine-learning-based voice analysis was superior to speech therapist judgments. There was a significantly higher true-positive than false-negative rate for machine-learning-based voice analysis but not for speech therapists. Results are discussed in terms of some artificiality of clinician judgments based on single-word utterances, and the objectivity machine-learning-based voice analysis adds to judging abnormal prosody.

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Disfluency Characteristics Observed in Young Children With Autism Spectrum Disorders: A Preliminary Report

Perspectives on Fluency and Fluency Disorders ◽

10.1044/ffd20.2.42 ◽

2010 ◽

Vol 20 (2) ◽

pp. 42-50 ◽

Cited By ~ 11

Author(s):

Laura W. Plexico ◽

Julie E. Cleary ◽

Ashlynn McAlpine ◽

Allison M. Plumb

Keyword(s):

Autism Spectrum Disorders ◽

Young Children ◽

Children With Autism ◽

Descriptive Study ◽

Autism Spectrum ◽

Typically Developing ◽

Children With Asd ◽

Young Children With Autism ◽

Spectrum Disorders ◽

Developmental Stuttering

This descriptive study evaluates the speech disfluencies of 8 verbal children between 3 and 5 years of age with autism spectrum disorders (ASD). Speech samples were collected for each child during standardized interactions. Percentage and types of disfluencies observed during speech samples are discussed. Although they did not have a clinical diagnosis of stuttering, all of the young children with ASD in this study produced disfluencies. In addition to stuttering-like disfluencies and other typical disfluencies, the children with ASD also produced atypical disfluencies, which usually are not observed in children with typically developing speech or developmental stuttering. (Yairi & Ambrose, 2005).

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