Children’s Glasgow Sensory Questionnaire (C-GSQ): Validation of a Simplified and Visually Aided Questionnaire

2021 ◽  
Author(s):  
Lauren Brown ◽  
Elliot Millington ◽  
Ashley Elizabeth Robertson ◽  
David Simmons
Keyword(s):  
Measurement Error ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Autistic Children ◽  
Sensory Sensitivities ◽  
Growing Body ◽  
Future Work ◽  
Sensory Questionnaire

Sensory sensitivities have been linked to autism in a growing body of literature. Despite this, current measures assessing sensory sensitivities do not appear to fully capture this, especially in children. This study aimed to adapt an adult measure of sensory sensitivities – the Glasgow Sensory Questionnaire – for use with children aged between aged between 8 and 11. 234 children filled out this adaption while their caregivers completed the Autism Spectrum Quotient: Children’s Version. The results found that the two questionnaires had a significant but surprisingly small correlation. Future work should look at identifying the extent to which the Children’s Glasgow Sensory Questionnaire is capturing greater sensory difficulties in non-autistic children or increased measurement error.

scholarly journals Descriptive analysis of the Autism Spectrum Quotient (AQ) in a sample of Brazilian adults

2020 ◽  
Author(s):  
Ana Luiza Costa Alves ◽  
Jonas Jardim de Paula ◽  
Debora Marques de Miranda ◽  
Marco Aurelio Romano-Silva
Keyword(s):  
Descriptive Analysis ◽  
Autistic Traits ◽  
Clinical Score ◽  
Autism Spectrum ◽  
Self Report ◽  
Autism Spectrum Quotient ◽  
Clinical Validity ◽  
Autism Diagnosis ◽  
Stereotyped Behaviors ◽  
Future Work

Background: The Autism Spectrum Disorder is characterized by the presence of difficulties in social interaction, inflexible, repetitive and/or stereotyped behaviors and interests. The Autism Spectrum Quotient (AQ) is a self-report instrument with 50 items created to quantify autistic traits in individuals older than 18 years with average or above-average intelligence. Objectives: The principal aim was to present a brief descriptive analysis of the AQ in a heterogeneous sample of Brazilian adults, also, to measure the clinical validity of the scale. Method: We recruited all the participants in Brazil (N=1024). Then we described the distribution in the general population (N=385) and investigated the AQ accuracy in a sample of autistic adults (N=32). Results: Our results suggested that autism traits were normally distributed in the population, but Brazilian adults have shown a different profile from the original study. Further, we found that 24 adults from the sample had a clinical score on the AQ, compatible with their previous autism diagnosis. Discussion: Our population probably reports more symptoms compared to other because the original clinical score represents a lower percentile in our sample. Also, future work will be required to adequate the use of the AQ in the Brazilian population.

Humor preference and the Autism Quotient in an undergraduate sample

2013 ◽  
Vol 26 (3) ◽  
Author(s):  
David Rawlings
Keyword(s):  
Regression Analysis ◽  
Real Life ◽  
Autism Spectrum ◽  
The Self ◽  
Self Report ◽  
Autism Spectrum Quotient ◽  
The Novel ◽  
Autistic Children ◽  
Attention Switching ◽  
Humor Appreciation

AbstractMost previous studies relating autism and humor have compared responses to jokes or cartoons in autistic children and controls. The present study used the Humor Appreciation Measure (HAM, Rawlings 2008), which measures responses to hypothetical real life situations, as well as jokes; and employed the Autism-spectrum Quotient (AQ, Baron-Cohen et al. 1995), a self-report instrument which assumes that autism exists on a continuum. In an undergraduate sample (N = 126), substantial correlations were reported between the total AQ score and the “unpleasant/aversive” ratings of potentially humorous, non-violent situations involving other people and the self. Correlational and regression analysis indicated that the strongest relationships with humor variables involved the Attention Switching sub-scale. The overall importance of Attention Switching was further examined by correlating individual sub-scale items with relevant humor variables. It is argued that the correlation between humor and Attention Switching is dependent on participants' relative tendency to avoid situations associated with the novel or unpredictable.

Development of Neural Structure and Function in Autism Spectrum Disorder: Potential Implications for Learning Language

2020 ◽  
Vol 29 (4) ◽  
pp. 1783-1797
Author(s):  
Kelly L. Coburn ◽  
Diane L. Williams
Keyword(s):  
Autism Spectrum Disorder ◽  
Language Development ◽  
Diffusion Tensor ◽  
Autism Spectrum ◽  
Language Intervention ◽  
Spectrum Disorder ◽  
Autistic Children ◽  
Neural Structure ◽  
Complex Information ◽  
And Function

Purpose Neurodevelopmental processes that begin during gestation and continue throughout childhood typically support language development. Understanding these processes can help us to understand the disruptions to language that occur in neurodevelopmental conditions, such as autism spectrum disorder (ASD). Method For this tutorial, we conducted a focused literature review on typical postnatal brain development and structural and functional magnetic resonance imaging, diffusion tensor imaging, magnetoencephalography, and electroencephalography studies of the neurodevelopmental differences that occur in ASD. We then integrated this knowledge with the literature on evidence-based speech-language intervention practices for autistic children. Results In ASD, structural differences include altered patterns of cortical growth and myelination. Functional differences occur at all brain levels, from lateralization of cortical functions to the rhythmic activations of single neurons. Neuronal oscillations, in particular, could help explain disrupted language development by elucidating the timing differences that contribute to altered functional connectivity, complex information processing, and speech parsing. Findings related to implicit statistical learning, explicit task learning, multisensory integration, and reinforcement in ASD are also discussed. Conclusions Consideration of the neural differences in autistic children provides additional scientific support for current recommended language intervention practices. Recommendations consistent with these neurological findings include the use of short, simple utterances; repetition of syntactic structures using varied vocabulary; pause time; visual supports; and individualized sensory modifications.

Short Report: Speeded Reasoning Moderates the Inverse Relationship Between Autistic-Like Traits and Emotion Recognition

2019 ◽  
Author(s):  
Alex Bertrams ◽  
Katja Schlegel
Keyword(s):  
Emotion Recognition ◽  
Inverse Relationship ◽  
Time Pressure ◽  
Recognition Performance ◽  
Autism Spectrum ◽  
Autism Spectrum Quotient ◽  
Short Report ◽  
Reasoning Ability ◽  
Reasoning Test ◽  
The Mind

People high in autistic-like traits have been found to have difficulties with recognizing emotions from nonverbal expressions. However, findings on the autism—emotion recognition relationship are inconsistent. In the present study, we investigated whether speeded reasoning ability (reasoning performance under time pressure) moderates the inverse relationship between autistic-like traits and emotion recognition performance. We expected the negative correlation between autistic-like traits and emotion recognition to be less strong when speeded reasoning ability was high. MTurkers (N = 217) completed the ten item version of the Autism Spectrum Quotient (AQ-10), two emotion recognition tests using videos with sound (Geneva Emotion Recognition Test, GERT-S) and pictures (Reading the Mind in the Eyes Test, RMET), and Baddeley's Grammatical Reasoning test to measure speeded reasoning. As expected, the higher the ability in speeded reasoning, the less were higher autistic-like traits related to lower emotion recognition performance. These results suggest that a high ability in making quick mental inferences may (partly) compensate for difficulties with intuitive emotion recognition related to autistic-like traits.

Initial Evidence for Increased Weather Salience in Autism Spectrum Conditions

2018 ◽  
Author(s):  
Matthew J. Bolton ◽  
William G. Blumberg ◽  
Lara K. Ault ◽  
H. Michael Mogil ◽  
Stacie H. Hanes
Keyword(s):  
Cognitive Processing ◽  
Physical Disability ◽  
Autism Spectrum ◽  
Autism Spectrum Conditions ◽  
Weather Information ◽  
Autistic People ◽  
Neurological Functioning ◽  
Future Work ◽  
Logical Rules ◽  
Attention To Detail

Weather is important to all people, including vulnerable populations (those whose circumstances include cognitive processing, hearing, or vision differences, physical disability, homelessness, and other scenarios and factors). Autism spectrum conditions (ASC) affect information-processing and areas of neurological functioning that potentially inhibit the reception of hazardous weather information, and is of particular concern for weather messengers. People on the autism spectrum tend to score highly in tests of systemizing, a psychological process that heavily entails attention to detail and revolves around the creation of logical rules to explain things that occur in the world. This article reports the results of three preliminary studies examining weather salience–psychological attention to weather–and its potential relationships with systemizing in autistic people. Initial findings suggest that enhanced weather salience exists among autistic individuals compared to those without the condition, and that this may be related to systemizing. These findings reveal some possible strategies for communicating weather to autistic populations and motivate future work on a conceptual model that blends systemizing and chaos theory to better understand weather salience.

scholarly journals Diachronic Tendency and Thinking Style Across the Broader Autism Spectrum: Sources of Individual Differences?

2021 ◽  
Author(s):  
Stian Orm ◽  
Ella Holt Holmberg ◽  
Paul L. Harris ◽  
Maria Nunez ◽  
Francisco Pons
Keyword(s):  
Autistic Traits ◽  
Broader Autism Phenotype ◽  
Autism Spectrum ◽  
Inner Speech ◽  
Autism Spectrum Quotient ◽  
Present Moment ◽  
Thinking Style ◽  
Mental Images ◽  
High School Degree ◽  
Future Events

Abstract Objectives First, to see whether previous studies showing a limited capacity to spontaneously evoke the past and the future of a present moment (diachronic tendency) and a prevalence of mental images over inner speech (thinking style) in individuals with autism spectrum disorder could be replicated in individuals belonging to the broader autism phenotype. Second, to test the hypothesis that individuals thinking with mental images have a more limited diachronic tendency compared with individuals thinking with inner speech. Methods Adults (N = 309, Mage = 31.5 years, 76% women) with at least a high school degree were assessed with the Autism Spectrum Quotient, a test of diachronic tendency comprising four pictures varying in social interactivity and dynamicity, and a thinking style scale comprising three items representing three different everyday situations. Results The results showed that adults with many autistic traits have a limited diachronic tendency but only when the situation is socially interactive and dynamic, think more in mental images than individuals with no or few autistic traits but nevertheless still think more with inner speech than with mental images, and the more the participants reported thinking in inner speech, the more they evoked past and future events when describing a socially interactive and dynamic situation. Conclusions More autistic traits are associated with a limited diachronic tendency in socially interactive and dynamic situations and more thinking in mental images, and thinking style could be one of the determinants of diachronic tendency in socially interactive and dynamic situations.

scholarly journals A novel automated autism spectrum disorder detection system

2021 ◽  
Author(s):  
Shu Lih Oh ◽  
V. Jahmunah ◽  
N. Arunkumar ◽  
Enas W. Abdulhay ◽  
Raj Gururajan ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Developmental Disorder ◽  
Detection System ◽  
Brain Activity ◽  
Limited Range ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Nonlinear Features ◽  
Genetic And Environmental Factors ◽  
Future Work

AbstractAutism spectrum disorder (ASD) is a neurological and developmental disorder that begins early in childhood and lasts throughout a person’s life. Autism is influenced by both genetic and environmental factors. Lack of social interaction, communication problems, and a limited range of behaviors and interests are possible characteristics of autism in children, alongside other symptoms. Electroencephalograms provide useful information about changes in brain activity and hence are efficaciously used for diagnosis of neurological disease. Eighteen nonlinear features were extracted from EEG signals of 40 children with a diagnosis of autism spectrum disorder and 37 children with no diagnosis of neuro developmental disorder children. Feature selection was performed using Student’s t test, and Marginal Fisher Analysis was employed for data reduction. The features were ranked according to Student’s t test. The three most significant features were used to develop the autism index, while the ranked feature set was input to SVM polynomials 1, 2, and 3 for classification. The SVM polynomial 2 yielded the highest classification accuracy of 98.70% with 20 features. The developed classification system is likely to aid healthcare professionals as a diagnostic tool to detect autism. With more data, in our future work, we intend to employ deep learning models and to explore a cloud-based detection system for the detection of autism. Our study is novel, as we have analyzed all nonlinear features, and we are one of the first groups to have uniquely developed an autism (ASD) index using the extracted features.

scholarly journals Early Detection Methods for Silicosis in Australia and Internationally: A Review of the Literature

2021 ◽  
Vol 18 (15) ◽  
pp. 8123
Author(s):  
Emma K. Austin ◽  
Carole James ◽  
John Tessier
Keyword(s):  
Early Detection ◽  
Literature Review ◽  
Detection Method ◽  
Detection Methods ◽  
X Rays ◽  
Review Of The Literature ◽  
Occupational Lung Disease ◽  
Work Related ◽  
Growing Body ◽  
Future Work

Pneumoconiosis, or occupational lung disease, is one of the world’s most prevalent work-related diseases. Silicosis, a type of pneumoconiosis, is caused by inhaling respirable crystalline silica (RCS) dust. Although silicosis can be fatal, it is completely preventable. Hundreds of thousands of workers globally are at risk of being exposed to RCS at the workplace from various activities in many industries. Currently, in Australia and internationally, there are a range of methods used for the respiratory surveillance of workers exposed to RCS. These methods include health and exposure questionnaires, spirometry, chest X-rays, and HRCT. However, these methods predominantly do not detect the disease until it has significantly progressed. For this reason, there is a growing body of research investigating early detection methods for silicosis, particularly biomarkers. This literature review summarises the research to date on early detection methods for silicosis and makes recommendations for future work in this area. Findings from this review conclude that there is a critical need for an early detection method for silicosis, however, further laboratory- and field-based research is required.

scholarly journals Robot-Assisted Autism Therapy (RAAT). Criteria and Types of Experiments Using Anthropomorphic and Zoomorphic Robots. Review of the Research

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3720
Author(s):  
Barbara Szymona ◽  
Marcin Maciejewski ◽  
Robert Karpiński ◽  
Kamil Jonak ◽  
Elżbieta Radzikowska-Büchner ◽  
...  
Keyword(s):  
Body Schema ◽  
Autism Spectrum ◽  
The Body ◽  
Review Of The Literature ◽  
Robot Assisted ◽  
Social Contacts ◽  
Joint Activities ◽  
Autism Therapy ◽  
Real Person ◽  
Future Work

Supporting the development of a child with autism is a multi-profile therapeutic work on disturbed areas, especially understanding and linguistic expression used in social communication and development of social contacts. Previous studies show that it is possible to perform some therapy using a robot. This article is a synthesis review of the literature on research with the use of robots in the therapy of children with the diagnosis of early childhood autism. The review includes scientific journals from 2005–2021. Using descriptors: ASD (Autism Spectrum Disorders), Social robots, and Robot-based interventions, an analysis of available research in PubMed, Scopus and Web of Science was done. The results showed that a robot seems to be a great tool that encourages contact and involvement in joint activities. The review of the literature indicates the potential value of the use of robots in the therapy of people with autism as a facilitator in social contacts. Robot-Assisted Autism Therapy (RAAT) can encourage child to talk or do exercises. In the second aspect (prompting during a conversation), a robot encourages eye contact and suggests possible answers, e.g., during free conversation with a peer. In the third aspect (teaching, entertainment), the robot could play with autistic children in games supporting the development of joint attention. These types of games stimulate the development of motor skills and orientation in the body schema. In future work, a validation test would be desirable to check whether children with ASD are able to do the same with a real person by learning distrust and cheating the robot.

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