The differential effects of Autism and Down's Syndrome on sexual behavior.

Although sexuality plays a major role in the socialization of people, few studies have examined the sexual behaviors of individuals with developmental disabilities. Because of this, we decided to investigate sexuality in adolescents with autism spectrum disorder (ASD) and Down's syndrome (Ds) and to compare them with typically developing adolescents, by surveying their parents. Specifically, it was hypothesized that young people with ASD would display lower levels over five domains: social behavior, privacy, sex education, sexual behavior, and parental concerns, than peers with Ds and typically developing young people. In addition, we sought to verify developmental trends in five domains with age for each group. Overall, 269 parents participated; 94 parents of typically developing adolescents, 93 parents of adolescents diagnosed with Ds, and 82 parents of adolescents diagnosed with ASD. Participants were surveyed with a Sexual Behavior Scale developed by Stokes and Kaur [] that assesses parents' reports of their child's: social behavior, privacy awareness, sex education, sexual behavior and parental concerns about the child's behaviors. It was found that three groups were significantly different on all five domains, adolescents with ASD reportedly displaying lower levels than other groups. Moreover, there was a significant improvement in knowledge of privacy and parental concerns with age for adolescents with ASD and a decline in sex education for adolescents with Ds. The results obtained emphasize the need to train adolescents with developmental disability, and especially for adolescents with ASD through sex education programs. Autism Res 2015.

Increased premotor cortex activation in high functioning autism during action observation

The mirror neuron (MN) hypothesis of autism has received considerable attention, but to date has produced inconsistent findings. Using functional MRI, participants with high functioning autism or Asperger's syndrome were compared to typically developing individuals (n=12 in each group). Participants passively observed hand gestures that included waving, pointing, and grasping. Concerning the MN network, both groups activated similar regions including prefrontal, inferior parietal and superior temporal regions, with the autism group demonstrating significantly greater activation in the dorsal premotor cortex. Concerning other regions, participants with autism demonstrated increased activity in the anterior cingulate and medial frontal gyrus, and reduced activation in calcarine, cuneus, and middle temporal gyrus. These results suggest that during observation of hand gestures, frontal cortex activation is affected in autism, which we suggest may be linked to abnormal functioning of the MN system.

Diagnosing autism: Australian paediatric research network surveys

AIM: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with reported prevalence of more than 1/100. In Australia, paediatricians are often involved in diagnosing ASD and providing long-term management. However, it is not known how paediatricians diagnose ASD. This study aimed to investigate whether the way Australian paediatricians diagnose ASD is in line with current recommendations. METHODS: Members of the Australian Paediatric Research Network were invited to answer questions about their ASD diagnostic practice in a multi-topic survey and also as part of a study about parents needs around the time of a diagnosis of ASD. RESULTS: The majority of the 124 paediatricians who responded to the multi-topic survey and most who responded to the parent needs survey reported taking more than one session to make a diagnosis of ASD. Most paediatricians included information from preschool, child care or school when making a diagnosis, and over half included information from speech pathology or psychology colleagues more than 50% of the time. The main reasons for not including assessment information in the diagnostic process were service barriers such as no regular service available or long waiting lists. More than 70% reported ordering audiology and genetic tests more than half of the time. CONCLUSION: Not all paediatricians are following current recommendations for diagnosing ASD more than 50% of the time. While there are good reasons why current diagnostic approaches may fall short of expected standards, these need to be overcome to ensure diagnostic validity and optimal services for all children and their families.

Implicit and explicit motor learning: Application to children with Autism Spectrum Disorder (ASD)

Aims and objectives: This study aims to determine whether children with Autism Spectrum Disorder (ASD) are capable of learning a motor skill both implicitly and explicitly. Methods: In the present study, 30 boys with ASD, aged 7-11 with IQ average of 81.2, were compared with 32 typical IQ- and age-matched boys on their performance on a serial reaction time task (SRTT). Children were grouped by ASD and typical children and by implicit and explicit learning groups for the SRTT. Results: Implicit motor learning occurred in both children with ASD (p = .02) and typical children (p = .01). There were no significant differences between groups (p = .39). However, explicit motor learning was only observed in typical children (p = .01) not children with ASD (p = .40). There was a significant difference between groups for explicit learning (p = .01). Discussion: The results of our study showed that implicit motor learning is not affected in children with ASD. Implications for implicit and explicit learning are applied to the CO-OP approach of motor learning with children with ASD.

Autism behind bars : a review of the research literature and discussion of key issues

Individuals with autism spectrum disorder (ASD) may experience difficulties coping at all levels of involvement in the criminal justice system. Questions remain, however, regarding the presence and type of difficulties faced by individuals with ASD in the context of incarceration within prison settings. Despite the potential impact for community safety and concerns regarding justice, these issues have received very little academic attention. The research that does exist is generally limited by poor methodology and small sample sizes. The current paper provides a brief review and discussion of the limited extant literature regarding the experiences of prisoners with ASD with the view to summarising areas of difficulties potentially faced by such individuals. It is hoped that this brief review may highlight the need for academic attention in order to inform practice and policy regarding the criminal justice response to this potentially vulnerable population.

Exploring the effect of gender and age on stress and emotional distress in adults with autism spectrum disorder

One hundred nine people with autism spectrum disorder (ASD) completed the Depression Anxiety Stress Scales (DASS), andStress Survey Schedule (SSS). Compared with Australian norms for DASS depression, anxiety, and stress, both males andfemales with ASD showed elevated scores. Females aged 25 to 44 years scored significantly higher on the DASS depressionsubscale than same aged males and younger males and females. Significant gender and age differences were evident onSSS subscales. In comparison with males, females were more stressed on Pleasant Events, Sensory/Personal Contact, andSocial and Environmental subscales, and adult females in particular were more stressed on items around Change and SocialThreats and Anticipation/Uncertainty. Young people were less stressed on seven of the eight SSS subscales than olderpeople. It appears that emotional vulnerability in people with ASD varies according to gender and age, with adult femalesat particular risk.

Association between autism symptoms and functioning in children with ADHD

OBJECTIVE: To examine the association between autism spectrum disorder (ASD) symptoms and (a) social functioning, (b) mental health, (c) quality of life and (d) sleep in children with and without attention-deficit hyperactivity disorder (ADHD).

METHODS: Participants were 6-10-year-old children with ADHD (N=164) and without ADHD (N=198). ADHD was assessed via community-based screening (wave 1) and case confirmation using the Diagnostic Interview Schedule for Children IV (DISC-IV) (wave 2). ASD symptoms were identified using the Social Communication Questionnaire (SCQ). Outcome measures were social functioning (Strengths and Difficulties Questionnaire (SDQ)), mental health (DISC-IV, SDQ), quality of life (QoL, Pediatric Quality of Life Inventory 4.0) and sleep problem severity.

RESULTS: Greater ASD symptoms were associated with more parent and teacher-reported peer problems and emotional and conduct problems. For every SD increase in SCQ scores, internalising (OR 1.8, 95% CI 1.3 to 2.6, p=0.001) and externalising disorders (OR 1.5, 95% CI 1.1 to 2.1, p=0.02) increased, QoL decreased by 6.7 units (p<0.001), and moderate/severe sleep problems increased (OR 1.5, 95% CI 1.0 to 2.2, p=0.04). Most findings held in analyses adjusting for socio-demographic factors, ADHD symptom severity and comorbidities (when not the outcome), with the exception of externalising disorders and sleep problems.

CONCLUSIONS: ASD symptoms are associated with poorer functioning in children with ADHD. It is important to identify and potentially manage ASD symptoms in children with ADHD given that they exacerbate functional impairments in this already vulnerable group.

Exploring factors related to the anger superiority effect in children with Autism Spectrum Disorder

Despite face and emotion recognition deficits, individuals with Autism Spectrum Disorder (ASD) appear to experience the anger superiority effect, where an angry face in a crowd is detected faster than a neutral face. This study extended past research to examine the impacts of ecologically valid photographic stimuli, gender and anxiety symptoms on the anger superiority effect in children with and without ASD. Participants were 81, 7-12year old children, 42 with ASD matched on age, gender and perceptual IQ to 39 typically developing (TYP) children. The photographic stimuli did not impact on task performance in ASD with both groups exhibiting the anger superiority effect. There were no gender differences and no associations with anxiety. Age was associated with the effect in the TYP but not ASD group. These findings confirm a robust effect of speeded detection of threat in ASD which does not appear to be confounded by gender or anxiety, but may have different underlying age-associated mechanisms.

Association between autism symptoms and family functioning in children with attention-deficit/hyperactivity disorder: a community-based study

Autism spectrum disorder (ASD) symptoms are elevated in populations of children with attention-deficit/hyperactivity disorder (ADHD). This study examined cross-sectional associations between ASD symptoms and family functioning in children with and without ADHD. Participants were recruited to a longitudinal cohort study, aged 6-10 years (164 ADHD; 198 controls). ADHD cases were ascertained using community-based screening and diagnostic confirmation from a diagnostic interview. ASD symptoms were measured using the Social Communication Questionnaire. Outcome variables were parent mental health, family quality of life (FQoL), couple conflict and support, and parenting behaviours. After adjustment for a range of child and family factors (including other mental health comorbidities), higher ASD symptoms were associated with poorer FQoL across all three domains; emotional impact (p = 0.008), family impact (p = 0.001) and time impact (p = 0.003). In adjusted analyses by subgroup, parents of children with ADHD+ASD had poorer parent self-efficacy (p = 0.01), poorer FQoL (p ≤ 0.05), with weak evidence of an association for less couple support (p = 0.06), compared to parents of children with ADHD only. Inspection of covariates in the adjusted analyses indicated that the association between ASD symptoms and most family functioning measures was accounted forby child internalising and externalising disorders, ADHD severity, and socioeconomic status; however, ASD symptoms appear to be independently associated with poorer FQoL in children with ADHD. The presence of ASD symptoms in children with ADHD may signal the need for enhanced family support.

Single pulse TMS-EEG reveals no electrophysiological abnormality in adults with high-functioning Autism Spectrum Disorder

 Objective: Neuroimaging and electrophysiological research have revealed a range of neural abnormalities in autism spectrum disorder (ASD), but a comprehensive understanding remains elusive. We utilized a novel methodology among individuals with ASD and matched controls, combining transcranial magnetic stimulation (TMS) with concurrent electroencephalogram (EEG) recording (TMS-EEG) to explore cortical function and connectivity in three sites implicated in the neuropathophysiology of ASD (dorsolateral prefrontal cortex, primary motor cortex, and temporoparietal junction). As there is evidence for neurobiological gender differences in ASD, we also examined the influence of biological sex.

Methods: TMS pulses were applied to each of the three sites (right lateralized) during 20-channel EEG recording.

Results: We did not identify any differences in the EEG response to TMS between ASD and control groups. This finding remained when data were stratified by sex. Nevertheless, traits and characteristics associated with ASD were correlated with the neurophysiological response to TMS.

Conclusion: While TMS-EEG did not appear to clarify the neuropathophysiology of ASD, the relationships identified between the neurophysiological response to TMS and clinical characteristics warrant further investigation.

Technology use and teenagers diagnosed with high-functioning Autism: in and across differentiated spaces

This chapter investigates how social uses of technology situated within specific differentiated spaces enable youth diagnosed with Autism Spectrum Disorder (ASD) to counter pre-conceived notions of autism as a form of limitation. In particular, we explore the richly layered, complex and creative lives that are enacted by young people who attend The Lab, an Australian-based technology club for youth diagnosed with High Functioning Autism (HFA) or Asperger’s Syndrome (AS).

Relationship between executive functioning and symptoms of attention-deficit/hyperactivity disorder and autism spectrum disorder in 6-8 year old children

This study examined relationships between executive functioning (EF) and ADHD/ASD symptoms in 339 6-8 year-old children to characterise EF profiles associated with ADHD and ADHD + ASD. ADHD status was assessed using screening surveys and diagnostic interviews. ASD symptoms were measured using the Social Communication Questionnaire, and children completed assessments of EF. We found the EF profile of children with ADHD + ASD did not differ from ADHD-alone and that lower-order cognitive skills contributed significantly to EF. Dimensionally, ASD and inattention symptoms were differentially associated with EF, whereas hyperactivity symptoms were unrelated to EF. Differences between categorical and dimensional findings suggest it is important to use both diagnostic and symptom based approaches in clinical settings when assessing these children's functional abilities.

Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data

The spectrum nature and heterogeneity within autism spectrum disorders (ASD) pose as a challenge for treatment. Personalisation of syllabus for children with ASD can improve the efficacy of learning by adjusting the number of opportunities and deciding the course of syllabus. We research the data-motivated approach in an attempt to disentangle this heterogeneity for personalisation of syllabus. With the help of technology and a structured syllabus, collecting data while a child with ASD masters the skills is made possible. The performance data collected are, however, growing and contain missing elements based on the pace and the course each child takes while navigating through the syllabus. Bayesian nonparametric methods are known for automatically discovering the number of latent components and their parameters when the model involves higher complexity. We propose a nonparametric Bayesian matrix factorisation model that discovers learning patterns and the way participants associate with them. Our model is built upon the linear Poisson gamma model (LPGM) with an Indian buffet process prior and extended to incorporate data with missing elements. In this paper, for the first time we have presented learning patterns deduced automatically from data mining and machine learning methods using intervention data recorded for over 500 children with ASD. We compare the results with non-negative matrix factorisation and K-means, which being parametric, not only require us to specify the number of learning patterns in advance, but also do not have a principle approach to deal with missing data. The F1 score observed over varying degree of similarity measure (Jaccard Index) suggests that LPGM yields the best outcome. By observing these patterns with additional knowledge regarding the syllabus it may be possible to observe the progress and dynamically modify the syllabus for improved learning.