1.4 SOCIAL INFORMATION PROCESSING IN AUTISM SPECTRUM DISORDER

2016 ◽  
Vol 55 (10) ◽  
pp. S100-S101
Author(s):  
Diana J. Back ◽  
Sunday M. Francis ◽  
Emma Skankland ◽  
Lucinda H. Wasserburg ◽  
Suma Jacob
2015 ◽  
Vol 8 (5) ◽  
pp. 486-496 ◽  
Author(s):  
Nicole M. Russo-Ponsaran ◽  
Clark McKown ◽  
Jason K. Johnson ◽  
Adelaide W. Allen ◽  
Bernadette Evans-Smith ◽  
...  

2016 ◽  
Vol 2 (4) ◽  
pp. 154-171 ◽  
Author(s):  
Verity Chester ◽  
Peter E. Langdon

Purpose Social deficits are central within conceptualisations of autism spectrum disorder (ASD), and separately linked to offending behaviour. Social problem-solving interventions are often used with offenders, but little research has examined the social information processing (SIP) skills of individuals with ASD and a history of criminal offending behaviours. The paper aims to discuss this issue. Design/methodology/approach This conceptual paper will introduce the SIP model, review SIP research as applied to those with ASD and in forensic populations, and further consider the relevance to the assessment and treatment of offenders with ASD. Findings Difficulties in all areas of the SIP model are noted in ASD and research suggests these difficulties may be directly linked to behaviour. Practical implications It is possible that identifying SIP abilities and deficits could improve the effectiveness of rehabilitation programmes for this group. Originality/value This paper reviews the utility of social information models in the offending behaviour of people with ASD.


2018 ◽  
Author(s):  
Amanda K Easson ◽  
Anthony R McIntosh

Variability of neural signaling is an important index of healthy brain functioning, as is signal complexity, which relates to information processing capacity. It is thought that alterations in variability and complexity may underlie certain brain dysfunctions. Here, resting-state fMRI was used to examine brain signal variability and complexity in male children and adolescents with and without autism spectrum disorder (ASD), a highly heterogeneous neurodevelopmental disorder. Variability was measured using the mean square successive difference (MSSD) of the time series, and complexity of these time series was assessed using sample entropy. A categorical approach was implemented to determine if the brain measures differed between diagnostic groups (ASD and typically developing (TD) groups). A dimensional approach was used to examine the continuum of relationships between each brain measure and behavioural severity, age, IQ, and the global efficiency (GE) of each participant's structural connectome, a metric that reflects the structural capacity for information processing. Using the categorical approach, no significant group differences were found for neither MSSD nor entropy. However, the dimensional approach revealed significant positive correlations between each brain measure, GE, and age. Further, negative correlations were observed between each brain measure and behavioural severity across all participants, whereby lower MSSD and entropy were associated with more severe ASD behaviours. These results reveal the nature of variability and complexity of fMRI signals in children and adolescents with and without ASD, and highlight the importance of taking a dimensional approach when analyzing brain function in ASD.


2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Sheena K. Au-Yeung ◽  
Valerie Benson ◽  
Monica Castelhano ◽  
Keith Rayner

Minshew and Goldstein (1998) postulated that autism spectrum disorder (ASD) is a disorder of complex information processing. The current study was designed to investigate this hypothesis. Participants with and without ASD completed two scene perception tasks: a simple “spot the difference” task, where they had to say which one of a pair of pictures had a detail missing, and a complex “which one's weird” task, where they had to decide which one of a pair of pictures looks “weird”. Participants with ASD did not differ from TD participants in their ability to accurately identify the target picture in both tasks. However, analysis of the eye movement sequences showed that participants with ASD viewed scenes differently from normal controls exclusively for the complex task. This difference in eye movement patterns, and the method used to examine different patterns, adds to the knowledge base regarding eye movements and ASD. Our results are in accordance with Minshew and Goldstein's theory that complex, but not simple, information processing is impaired in ASD.


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