scholarly journals Neural-level associations of non-verbal pragmatic comprehension in young Finnish autistic adults

2021 ◽  
Vol 80 (1) ◽  
pp. 1909333
Author(s):  
Aija Kotila ◽  
Jussi Tohka ◽  
Jukka-Pekka Kauppi ◽  
Ilaria Gabbatore ◽  
Leena Mäkinen ◽  
...  
2020 ◽  
Author(s):  
Amandine Lassalle ◽  
Michael X Cohen ◽  
Laura Dekkers ◽  
Elizabeth Milne ◽  
Rasa Gulbinaite ◽  
...  

Background: People with an Autism Spectrum Condition diagnosis (ASD) are hypothesized to show atypical neural dynamics, reflecting differences in neural structure and function. However, previous results regarding neural dynamics in autistic individuals have not converged on a single pattern of differences. It is possible that the differences are cognitive-set-specific, and we therefore measured EEG in autistic individuals and matched controls during three different cognitive states: resting, visual perception, and cognitive control.Methods: Young adults with and without an ASD (N=17 in each group) matched on age (range 20 to 30 years), sex, and estimated Intelligence Quotient (IQ) were recruited. We measured their behavior and their EEG during rest, a task requiring low-level visual perception of gratings of varying spatial frequency, and the “Simon task” to elicit activity in the executive control network. We computed EEG power and Inter-Site Phase Clustering (ISPC; a measure of connectivity) in various frequency bands.Results: During rest, there were no ASD vs. controls differences in EEG power, suggesting typical oscillation power at baseline. During visual processing, without pre-baseline normalization, we found decreased broadband EEG power in ASD vs. controls, but this was not the case during the cognitive control task. Furthermore, the behavioral results of the cognitive control task suggest that autistic adults were better able to ignore irrelevant stimuli.Conclusions: Together, our results defy a simple explanation of overall differences between ASD and controls, and instead suggest a more nuanced pattern of altered neural dynamics that depend on which neural networks are engaged.


2019 ◽  
Author(s):  
Mark Somerville ◽  
Sarah E. MacPherson ◽  
Sue Fletcher-Watson

Camouflaging is a frequently reported behaviour in autistic people, which entails the use of strategies to compensate for and mask autistic traits in social situations. Camouflaging is associated with poor mental health in autistic people. This study examined the manifestation of camouflaging in a non-autistic sample, examining the relationship between autistic traits, camouflaging, and mental health. In addition, the role of executive functions as a mechanism underpinning camouflaging was explored. Sixty-three non-autistic adults completed standardised self-report questionnaires which measured: autistic traits, mental health symptoms, and camouflaging behaviours. In addition, a subset (n=51) completed three tests of executive function measuring inhibition, working memory, and set-shifting. Multiple linear regression models were used to analyse data. Results indicated that autistic traits are not associated with mental health symptoms when controlling for camouflaging, and camouflaging predicted increased mental health symptoms. Camouflaging did not correlate with any measure of executive function. These findings have implications for understanding the relationship between autistic traits and mental health in non-autistic people and add to the growing development of theory and knowledge about the mechanism and effects of camouflaging.


2021 ◽  
Vol 39 ◽  
pp. 101042
Author(s):  
Lisa Quadt ◽  
Sarah N Garfinkel ◽  
James S Mulcahy ◽  
Dennis EO Larsson ◽  
Marta Silva ◽  
...  

Autism ◽  
2021 ◽  
pp. 136236132110240
Author(s):  
Jung-Chi Chang ◽  
Meng-Chuan Lai ◽  
Yueh-Ming Tai ◽  
Susan Shur-Fen Gau

Cross-sectional research has demonstrated the overrepresentation of gender dysphoria in children and adults with autism spectrum disorder. However, the predictors and underlying mechanisms of this co-occurrence remain unclear. This follow-up study aimed to explore baseline (childhood/adolescence) predictors for the follow-up (adulthood) self-reported wish to be of the opposite sex and to investigate its mental health correlates in a sample of 88 autistic individuals as compared with 42 typically developing controls. An item on the Adult Self-Report Inventory-4, “I wish I was the opposite sex,” was used. We compared mental health symptoms between adults with and without this item endorsement. We used prediction models to explore family and autism-related predictors in childhood/adolescence to endorse this item in adulthood. There were more adults endorsing the item in the autism spectrum disorder group compared with the typically developing group. Autistic adults who endorsed the item experienced more mental health challenges, more bullying victimization, more suicidal ideations, and worse quality of life. Lower parent-reported family support and more stereotyped/repetitive behaviors during childhood/adolescence predicted the self-reported wish to be of the opposite sex in adulthood in autistic individuals. It is necessary to raise more attention to gender development and related mental health impact in autistic individuals. Lay abstract Autistic people/people with autism spectrum disorder are more likely to experience gender dysphoria. However, the possible longitudinal predictors and underlying mechanisms of this co-occurrence are unclear. To fill this knowledge gap, we assessed 88 people with autism spectrum disorder and 42 typically developing individuals at their average ages of 13.0 (baseline, childhood/adolescence) and 20.2 years old (follow-up, adulthood). At follow-up, their endorsement on the item “I wish I was the opposite sex” was used to evaluate gender dysphoric symptoms. We compared mental health symptoms between adults with and without this item endorsement at the follow-up assessment. We explored parent-reported family and autism characteristics-related predictors in childhood/adolescence to this item endorsement in adulthood. We found that more autistic adults reported the wish to be of the opposite sex than did typically developing individuals. Autistic adults who endorsed this item experienced more mental health challenges, more school bullying and cyberbullying, more suicidal ideation, and worse quality of life. Moreover, parent-reported lower family support and more stereotyped/repetitive behaviors during childhood/adolescence predicted the self-reported wish to be of the opposite sex in adulthood in autistic individuals. More attention and support should be provided to autistic people regarding gender development and related mental health and quality of life impact, especially during the transition period to young adulthood.


Autism ◽  
2021 ◽  
Vol 25 (5) ◽  
pp. 1469-1480
Author(s):  
Maya Bowri ◽  
Laura Hull ◽  
Carrie Allison ◽  
Paula Smith ◽  
Simon Baron-Cohen ◽  
...  

This study explored demographic and psychological predictors of alcohol use and misuse in a high-functioning, community sample of 237 autistic adults aged 18–75 (mean = 41.92 and standard deviation = 13.3) recruited in the United Kingdom. An online survey measured demographic information, autistic traits, depression, generalised anxiety, social anxiety, mental well-being, social camouflaging and alcohol use with the Alcohol Use Disorders Identification Test. The sample was divided into three groups (non-drinkers, non-hazardous drinkers and hazardous drinkers) and multinomial logistic regression models were used to investigate associations between alcohol use and demographic factors, autistic traits, mental health variables and social camouflaging. Our results demonstrated a U-shaped pattern among autistic adults, with non-drinkers and hazardous drinkers scoring significantly higher than non-hazardous drinkers on levels of autistic traits, depression, generalised anxiety and social anxiety. In multivariate analysis, autistic non-drinkers were less likely to be male (odds ratio = 0.44; 95% confidence interval = 0.22–0.87) and had more autistic traits (odds ratio = 2.50; 95% confidence interval = 1.19–5.28). Gender and level of autistic traits may be the most significant factors in predicting alcohol use in the autistic community. Lay abstract Alcohol use and misuse are associated with a variety of negative physical, psychological and social consequences. The limited existing research on substance use including alcohol use in autistic adults has yielded mixed findings, with some studies concluding that autism reduces the likelihood of substance use and others suggesting that autism may increase an individual’s risk for substance misuse. This study investigated demographic and psychological predictors of alcohol use and misuse in a sample of 237 autistic adults. An online survey was used to obtain data on demographic information, autistic traits, depression, generalised anxiety, social anxiety, mental well-being, social camouflaging and alcohol use. The sample was divided into three groups (non-drinkers, non-hazardous drinkers and hazardous drinkers) in order to investigate associations between alcohol use and demographic factors, autistic traits, mental health variables and social camouflaging. Our results demonstrated a U-shaped pattern among autistic adults, with non-drinkers and hazardous drinkers scoring higher than non-hazardous drinkers on levels of autistic traits, depression, generalised anxiety and social anxiety. Autistic non-drinkers were less likely to be male and had more autistic traits. Gender and level of autistic traits may be the most significant factors in predicting alcohol use in the autistic community.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Laura Hull ◽  
Lily Levy ◽  
Meng-Chuan Lai ◽  
K. V. Petrides ◽  
Simon Baron-Cohen ◽  
...  

Abstract Background There is inconsistent evidence for a clear pattern of association between ‘camouflaging’ (strategies used to mask and/or compensate for autism characteristics during social interactions) and mental health. Methods This study explored the relationship between self-reported camouflaging and generalised anxiety, depression, and social anxiety in a large sample of autistic adults and, for the first time, explored the moderating effect of gender, in an online survey. Results Overall, camouflaging was associated with greater symptoms of generalised anxiety, depression, and social anxiety, although only to a small extent beyond the contribution of autistic traits and age. Camouflaging more strongly predicted generalised and social anxiety than depression. No interaction between camouflaging and gender was found. Limitations These results cannot be generalised to autistic people with intellectual disability, or autistic children and young people. The sample did not include sufficient numbers of non-binary people to run separate analyses; therefore, it is possible that camouflaging impacts mental health differently in this population. Conclusions The findings suggest that camouflaging is a risk factor for mental health problems in autistic adults without intellectual disability, regardless of gender. We also identified levels of camouflaging at which risk of mental health problems is highest, suggesting clinicians should be particularly aware of mental health problems in those who score at or above these levels.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Elizabeth Weir ◽  
Carrie Allison ◽  
Ken K. Ong ◽  
Simon Baron-Cohen

Abstract Background Studies of autistic children suggest that restricted eating, reduced physical activity, and sleep disorders are common; however, no studies attempt to broadly describe the diet, exercise, and sleep patterns of autistic adults or consider relationships between lifestyle behaviors and the widely reported increased risks of obesity and chronic conditions. To address this, the authors developed the largest study of lifestyle patterns of autistic adults and assessed their relationships to body mass index, health outcomes, and family history. Methods We administered an anonymized, online survey to n = 2386 adults (n = 1183 autistic) aged 16–90 years of age. We employed Fisher’s exact tests and binomial logistic regression to describe diet, exercise, and sleep patterns; mediation of seizure disorders on sleep; body mass index (BMI); relationships of lifestyle factors to BMI, cardiovascular conditions, and diabetic conditions; and sex differences among autistic adults. Results Autistic adults, and particularly autistic females, exhibit unhealthy diet, exercise, and sleep patterns; they are also more likely to be underweight or obese. Limited sleep duration and high rates of sleep disturbances cannot be accounted for by epilepsy or seizure disorders. Lifestyle factors are positively related to higher risk of cardiovascular conditions among autistic males, even more than family history. Limitations Our sample may not be representative of all autistic and non-autistic people, as it primarily comprised individuals who are white, female, have a high school education or higher, and reside in the UK. Our sampling methods may also exclude some individuals on the autism spectrum, and particularly those with moderate to severe intellectual disability. This is a cross-sectional sample that can test for relationships between factors (e.g., lifestyle factors and health outcomes) but cannot assess the direction of these relationships. Conclusions Autistic adults are less likely to meet minimal health recommendations for diet, exercise, and sleep—and these unhealthy behaviors may relate to excess risk of cardiovascular conditions. Although the present study can only provide preliminary, correlational evidence, our findings suggest that diet, exercise, and sleep should be considered and further investigated as key targets for reducing the now widely reported and dramatically increased risks of health comorbidity and premature death among autistic individuals compared to others. Physicians should work cooperatively with patients to provide health education and develop individualized strategies for how to better manage challenges with diet, exercise, and sleep.


2020 ◽  
Vol 2 (2) ◽  
pp. 144-151 ◽  
Author(s):  
Cheryl L. Dickter ◽  
Joshua A. Burk ◽  
Janice L. Zeman ◽  
Sara C. Taylor

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