Literature DB >> 32560365

Behavioral and Autonomic Responses in Treating Children with High-Functioning Autism Spectrum Disorder: Clinical and Phenomenological Insights from Two Case Reports.

Lucia Billeci1, Ettore Caterino2, Alessandro Tonacci1, Maria Luisa Gava3.   

Abstract

In this study, we aimed to evaluate the process applied in subjects with Autism Spectrum Disorder (ASD) to elaborate and communicate their experiences of daily life activities, as well as to assess the autonomic nervous system response that subtend such a process. This procedure was evaluated for the first time in two eight-year-old girls with high-functioning ASDs. The subjects performed six months of training, based on the cognitive-motivational-individualized (c.m.i.®) approach, which mainly consisted in building domestic procedures and re-elaborating acquired experiences through drawing or the use of icons made by the children. Together with behavioral observations, the response of the autonomic nervous system during such re-elaboration was recorded. A change in communicative and interactive competences was observed, moving from a condition of spontaneity to one in which the girls were engaged in relating their experiences to a parent. Autonomic response highlighted how, in communicating their own experiences, they achieved a state of cognitive activation, which enabled a greater communicative and emotional connection with the interlocutor. This is a proof-of-concept study on the application of the c.m.i.®, which needs to be extensively validated in the clinical setting.

Entities:  

Keywords:  autonomic nervous system; communication; experience; high-functioning autism; language; wearable technologies

Year:  2020        PMID: 32560365     DOI: 10.3390/brainsci10060382

Source DB:  PubMed          Journal:  Brain Sci        ISSN: 2076-3425


  2 in total

1.  The Challenging Heterogeneity of Autism: Editorial for Brain Sciences Special Issue "Advances in Autism Research".

Authors:  Antonio Narzisi
Journal:  Brain Sci       Date:  2020-12-07

2.  Towards Robot-Assisted Therapy for Children With Autism-The Ontological Knowledge Models and Reinforcement Learning-Based Algorithms.

Authors:  Intissar Salhi; Mohammed Qbadou; Soukaina Gouraguine; Khalifa Mansouri; Chris Lytridis; Vassilis Kaburlasos
Journal:  Front Robot AI       Date:  2022-04-06
  2 in total

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