scholarly journals Collective intentionality and autism: Against the exclusion of the “social misfits”

2019 ◽  
Vol 30 (1) ◽  
pp. 135-148
Author(s):  
Kristina Lekic
Keyword(s):  
Diagnostic Criteria ◽  
Autistic Spectrum Disorders ◽  
Collective Intentionality ◽  
Human Beings ◽  
Autistic Spectrum ◽  
Psychological States ◽  
The Social ◽  
Spectrum Disorders ◽  
Shed Light

The paper aims to shed light on Searle?s notion of collective intentionality (CI) as a primitive phenomenon shared by all humans. The latter could be problematic given that there are individuals who are unable to grasp collective intentionality and fully collaborate within the framework of ?we-intentionality?. Such is the case of individuals with autism, given that the lack of motivation and skills for sharing psychological states with others is one of the diagnostic criteria for Autistic Spectrum Disorders (ASD). The paper will argue that exclusion of individuals with autism is not a threat for Searle?s notion of collective intentionality, as the notion can be read as merely a biological disposition that all human beings share. Furthermore, the paper proposes the extension of Searle?s concept of CI so it can include behaviors of individuals who have the disposition towards CI, but which was not evolved through ontogenesis; namely, for individuals with autism.

The use of the Social Cognitive Skills Test with children with autistic spectrum disorders

2008 ◽  
Vol 12 (1) ◽  
pp. 49-57 ◽  
Author(s):  
Naomi Coleman ◽  
Dougal Julian Hare ◽  
Peter Farrell ◽  
Teun Van Manen
Keyword(s):  
Cognitive Skills ◽  
Social Cognitive ◽  
Autistic Spectrum Disorders ◽  
Autistic Spectrum ◽  
The Social ◽  
Spectrum Disorders

scholarly journals Mobile Applications to Improve Emotional Intelligence in Autism – A Review

2018 ◽  
Vol 12 (6) ◽  
pp. 47 ◽  
Author(s):  
Chara Papoutsi ◽  
Athanasios S. Drigas ◽  
Charalabos Skianis
Keyword(s):  
Emotional Intelligence ◽  
Children And Adolescents ◽  
Mobile Applications ◽  
Autistic Spectrum Disorders ◽  
Social Environments ◽  
Human Beings ◽  
Autistic Spectrum ◽  
Healthy Development ◽  
The People ◽  
Spectrum Disorders

<p>The ability to understand and regulate emotions in ourselves and others is essential for the healthy development of all human beings. It helps people comprehend themselves and other people, it guides response and decision making and enhances the capacity to develop social relationships. People with Autistic Spectrum Disorders have deficiencies in Emotional Intelligence skills and that leads to difficulties in understanding themselves and the people in their social environments in relation to emotions, feelings and thoughts. The usability of mobile applications developed for children and adolescents with ASD is important because it gives the opportunity to practice in an accessible and creative way to enhance their emotional intelligence. The current article aims to carry out a systematic review of mobile applications on improving emotional intelligence in children and adolescents with Autistic Spectrum Disorders.</p>

scholarly journals Efficacy of three screening instruments in the identification of autistic-spectrum disorders

2007 ◽  
Vol 191 (6) ◽  
pp. 554-559 ◽  
Author(s):  
Tony Charman ◽  
Gillian Baird ◽  
Emily Simonoff ◽  
Tom Loucas ◽  
Susie Chandler ◽  
...  
Keyword(s):  
Characteristic Curve ◽  
High Sensitivity ◽  
Educational Needs ◽  
Autistic Spectrum Disorders ◽  
Social Responsiveness ◽  
Screening Instruments ◽  
Special Educational Needs ◽  
Autistic Spectrum ◽  
The Social ◽  
Spectrum Disorders

BackgroundScreening instruments for autistic-spectrum disorders have not been compared in the same sample.AimsTo compare the Social Communication Questionnaire (SCQ), the Social Responsiveness Scale (SRS) and the Children's Communication Checklist (CCC).MethodScreen and diagnostic assessments on 119 children between 9 and 13 years of age with special educational needs with and without autistic-spectrum disorders were weighted to estimate screen characteristics for a realistic target population.ResultsThe SCQ performed best (area under receiver operating characteristic curve (AUC)=0.90; sensitivity 0.86; specificity 0.78). The SRS had a lower AUC (0.77) with high sensitivity (0.78) and moderate specificity (0.67). The CCC had a high sensitivity but lower specificity (AUC=0.79; sensitivity 0.93; specificity 0.46). The AUC of the SRS and CCC was lower for children with IQ < 70. Behaviour problems reduced specificity for all three instruments.ConclusionsThe SCQ, SRS and CCC showed strong to moderate ability to identify autistic-spectrum disorder in this at-risk sample of school-age children with special educational needs.

Prefrontal Cortex Hypothesis and Autistic Spectrum Disorders

2006 ◽  
Author(s):  
Robert E. Nida ◽  
Christopher Lopata ◽  
Martin A. Volker ◽  
Marcus L. Thomeer ◽  
Gloria K. Lee ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Autistic Spectrum Disorders ◽  
Autistic Spectrum ◽  
Spectrum Disorders

Genetic testing for autistic spectrum disorders

2020 ◽  
pp. 78-79
Author(s):  
Е.А. Померанцева ◽  
А.А. Исаев ◽  
А.П. Есакова ◽  
И.В. Поволоцкая ◽  
Е.В. Денисенкова ◽  
...  
Keyword(s):  
Genetic Testing ◽  
American Academy ◽  
Autistic Spectrum Disorder ◽  
Genetic Factors ◽  
Molecular Genetic ◽  
Autistic Spectrum Disorders ◽  
Autistic Spectrum ◽  
American Academy Of Pediatrics ◽  
Spectrum Disorders ◽  
Testing Algorithm

Согласно рекомендациям Американской академии педиатрии при постановке диагноза аутизм, следует направить семью на консультацию генетика и генетическое обследование. Однако оптимальный подход к алгоритму генетического обследования при выявлении расстройства аутистического спектра еще предстоит разработать. В рамках исследования было проведено сравнение выявляемости генетических факторов аутизма различными молекулярно-генетическими тестами. According to American Academy of Pediatrics recent guidelines, each family with a child diagnosed with autistic spectrum disorder should be reffered to a medical geneticist and offered genetic tests. However, an optimal genetic testing algorithm has yet to be developed. This study was conducted to compare abilities of different molecular-genetic methods to detect genetic factors of autistic spectrum disorders.

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