1. Ainsworth MK, Evmenova AS, Behrmann M, Jerome M. {{Teaching phonics to groups of middle school students with autism, intellectual disabilities and complex communication needs}}. {Res Dev Disabil}. 2016; 56: 165-76.
For students who have severe and multiple disabilities including intellectual disability, complex communication needs, physical and/or sensory disabilities, and autism, there are many barriers to literacy acquisition. The purpose of this study was to teach letter-sound correspondence to small groups of students with significant intellectual disabilities and comorbid communication disorders using the ALL (Accessible Literacy Learning) curriculum. The eight participants in this study, who ranged in age from 11 to 16 years of age and had primary diagnoses of cerebral palsy, autism, Rett syndrome, Down syndrome, and intellectual disability, were placed into four groups for instruction in phonics. The instruction followed the scripted lessons of ALL Curriculum. There was moderate evidence of the functional relation between the use of the ALL Curriculum and participants’ progress towards letter-sound correspondence. Each group of participants demonstrated an increased performance in the treatment phase. The results of the visual analysis were supported by the statistically significant differences yielded by the randomization test analysis. Implications are discussed in terms of the importance of literacy instruction for students with all abilities and needs.
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2. Bennett M, Goodall E. {{Towards an Agenda for Research for Lesbian, Gay, Bisexual, Transgendered and/or Intersexed People with an Autism Spectrum Diagnosis}}. {J Autism Dev Disord}. 2016.
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3. Capriola NN, Maddox BB, White SW. {{No Offense Intended: Fear of Negative Evaluation in Adolescents and Adults with Autism Spectrum Disorder}}. {J Autism Dev Disord}. 2016.
Social anxiety disorder (SAD) is a common comorbidity for individuals with autism spectrum disorder (ASD). The present study examined the cardinal cognitive component of SAD, fear of negative evaluation (FNE), in adolescents and adults with ASD (n = 44; 59 % with social anxiety) and those without ASD (n = 69; 49 % with social anxiety). Group (ASD or non-ASD) significantly moderated the relationship between social disability, as well as social motivation impairment, and FNE, such that there was a stronger positive relationship for the adolescents and adults without ASD. Few differences emerged between those with and without ASD, with respect to specific indicators of FNE. Clinical implications are discussed, including the importance of assessing FNE among individuals with ASD.
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4. Chan JS, Langer A, Kaiser J. {{Temporal integration of multisensory stimuli in autism spectrum disorder: a predictive coding perspective}}. {J Neural Transm (Vienna)}. 2016.
Recently, a growing number of studies have examined the role of multisensory temporal integration in people with autism spectrum disorder (ASD). Some studies have used temporal order judgments or simultaneity judgments to examine the temporal binding window, while others have employed multisensory illusions, such as the sound-induced flash illusion (SiFi). The SiFi is an illusion created by presenting two beeps along with one flash. Participants perceive two flashes if the stimulus-onset asynchrony (SOA) between the two flashes is brief. The temporal binding window can be measured by modulating the SOA between the beeps. Each of these tasks has been used to compare the temporal binding window in people with ASD and typically developing individuals; however, the results have been mixed. While temporal order and simultaneity judgment tasks have shown little temporal binding window differences between groups, studies using the SiFi have found a wider temporal binding window in ASD compared to controls. In this paper, we discuss these seemingly contradictory findings and suggest that predictive coding may be able to explain the differences between these tasks.
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5. Cohen IL, Liu X, Hudson M, Gillis J, Cavalari RN, Romanczyk RG, Karmel BZ, Gardner JM. {{Using the PDD Behavior Inventory as a Level 2 Screener: A Classification and Regression Trees Analysis}}. {J Autism Dev Disord}. 2016.
In order to improve discrimination accuracy between Autism Spectrum Disorder (ASD) and similar neurodevelopmental disorders, a data mining procedure, Classification and Regression Trees (CART), was used on a large multi-site sample of PDD Behavior Inventory (PDDBI) forms on children with and without ASD. Discrimination accuracy exceeded 80 %, generalized to an independent validation set, and generalized across age groups and sites, and agreed well with ADOS classifications. Parent PDDBIs yielded better results than teacher PDDBIs but, when CART predictions agreed across informants, sensitivity increased. Results also revealed three subtypes of ASD: minimally verbal, verbal, and atypical; and two, relatively common subtypes of non-ASD children: social pragmatic problems and good social skills. These subgroups corresponded to differences in behavior profiles and associated bio-medical findings.
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6. Edmiston EK, Jones RM, Corbett BA. {{Physiological Response to Social Evaluative Threat in Adolescents with Autism Spectrum Disorder}}. {J Autism Dev Disord}. 2016.
The Trier Social Stress Test (TSST) was employed to study response to social evaluative threat in male adolescents with Autism Spectrum Disorder (ASD, n = 21) and typical development (n = 13). Participants wore a mobile electrocardiogram to collect heart rate data. There were significant group effects on respiratory sinus arrhythmia (RSA), a measure of parasympathetic nervous system function, with lower values in ASD (F = 4.97). Bivariate correlations also showed a significant relationship between parent reports of social problems and RSA response to the TSST (r = -0.586). These findings suggest that autonomic dysregulation may contribute to social deficits in adolescents with ASD.
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7. Ferguson BJ, Marler S, Altstein LL, Lee EB, Akers J, Sohl K, McLaughlin A, Hartnett K, Kille B, Mazurek M, Macklin EA, McDonnell E, Barstow M, Bauman ML, Margolis KG, Veenstra-VanderWeele J, Beversdorf DQ. {{Psychophysiological Associations with Gastrointestinal Symptomatology in Autism Spectrum Disorder}}. {Autism Res}. 2016.
Autism spectrum disorder (ASD) is often accompanied by gastrointestinal disturbances, which also may impact behavior. Alterations in autonomic nervous system functioning are also frequently observed in ASD. The relationship between these findings in ASD is not known. We examined the relationship between gastrointestinal symptomatology, examining upper and lower gastrointestinal tract symptomatology separately, and autonomic nervous system functioning, as assessed by heart rate variability and skin conductance level, in a sample of 120 individuals with ASD. Relationships with co-occurring medical and psychiatric symptoms were also examined. While the number of participants with significant upper gastrointestinal tract problems was small in this sample, 42.5% of participants met criteria for functional constipation, a disorder of the lower gastrointestinal tract. Heart rate variability, a measure of parasympathetic modulation of cardiac activity, was found to be positively associated with lower gastrointestinal tract symptomatology at baseline. This relationship was particularly strong for participants with co-occurring diagnoses of anxiety disorder and for those with a history of regressive ASD or loss of previously acquired skills. These findings suggest that autonomic function and gastrointestinal problems are intertwined in children with ASD; although it is not possible to assess causality in this data set. Future work should examine the impact of treatment of gastrointestinal problems on autonomic function and anxiety, as well as the impact of anxiety treatment on gastrointestinal problems. Clinicians should be aware that gastrointestinal problems, anxiety, and autonomic dysfunction may cluster in children with ASD and should be addressed in a multidisciplinary treatment plan. Autism Res 2016. (c) 2016 International Society for Autism Research, Wiley Periodicals, Inc.
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8. Huang JY, Tian Y, Wang HJ, Shen H, Wang H, Long S, Liao MH, Liu ZR, Wang ZM, Li D, Tao RR, Cui TT, Moriguchi S, Fukunaga K, Han F, Lu YM. {{Functional Genomic Analyses Identify Pathways Dysregulated in Animal Model of Autism}}. {CNS Neurosci Ther}. 2016.
BACKGROUND: Autism spectrum disorders (ASDs) are a heterogeneous group of neurodevelopmental disorders that display complicated behavioral symptoms. METHODS: Using gene expressing profiling and the weighted gene co-expression network analysis (WGCNA), we studied genes coregulated by similar factors such as genetic variants or environmental effects in the hippocampus in an animal model of autism. RESULTS: From microarray data, we identified 21,388 robustly expressed genes of which 721 genes were found to be differently expressed in the valproic acid-treated group compared to the control group. WGCNA identified multiple co-expression modules known to associate with cognitive function, inflammation, synaptic, and positive regulation of protein kinase activating. Many of these modules, however, have not been previously linked to autism spectrum disorders which included G-protein signaling, immunity, and neuroactive ligand-receptor interaction pathway. The downregulation of the highly connected (hub) genes Taar7h and Taar7b in neuroactive ligand-receptor interaction pathway was validated by qRT-PCR. Immunoblotting and immunohistochemistry further showed that TAAR7 expression was downregulated not only in valproic acid-treated animals, but also BTBR T+tf/J mice. CONCLUSIONS: This study highlights the advantages of gene microarrays to uncover co-expression modules associated with autism and suggests that Taars and related gene regulation networks may play a significant role in autism.
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9. Matson JL, Cervantes PE, Peters WJ. {{Autism spectrum disorders: management over the lifespan}}. {Expert Rev Neurother}. 2016.
INTRODUCTION: For the majority of the autism spectrum disorder (ASD) population, symptoms begin within the first years of life and associated difficulties continue throughout the lifespan. Currently, the research literature focuses more heavily on problems in childhood. However, given that adulthood accounts for the majority of life, more focus should be placed on evidence-based, lifelong treatment and management strategies for ASD. AREAS COVERED: This paper reviews the topic of lifelong ASD management, primarily emphasizing issues in adolescence and adulthood. Among the topics discussed are timing and methods of treatment across the lifespan, and specific intervention targets that emerge or are more relevant to this older cohort. Expert Review: Several advances have been made in the treatment of adolescent and adult specific issues. However, research should continue to focus on these areas. Greater focus on coordination of care across disciplines and policy regarding ASD management over the lifespan is also required.
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10. Notwell JH, Heavner WE, Fazel Darbandi S, Katzman S, McKenna WL, Ortiz-Londono CF, Tastad D, Eckler MJ, Rubenstein JL, McConnell SK, Chen B, Bejerano G. {{TBR1 regulates autism risk genes in the developing neocortex}}. {Genome Res}. 2016.
Exome sequencing studies have identified multiple genes harboring de novo loss-of-function (LoF) variants in individuals with autism spectrum disorders (ASD), including TBR1, a master regulator of cortical development. We performed ChIP-seq for TBR1 during mouse cortical neurogenesis and show that TBR1-bound regions are enriched adjacent to ASD genes. ASD genes were also enriched among genes that are differentially expressed in Tbr1 knockouts, which together with the ChIP-seq data, suggests direct transcriptional regulation. Of the 9 ASD genes examined, 7 were misexpressed in the cortices of Tbr1 knockout mice, including 6 with increased expression in the deep cortical layers. ASD genes with adjacent cortical TBR1 ChIP-seq peaks also showed unusually low levels of LoF mutations in a reference human population and among Icelanders. We then leveraged TBR1 binding to identify an appealing subset of candidate ASD genes. Our findings highlight a TBR1-regulated network of ASD genes in the developing neocortex that are relatively intolerant to LoF mutations, indicating that these genes may play critical roles in normal cortical development.
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11. Polfuss M, Johnson N, Bonis SA, Hovis SL, Apollon F, Sawin KJ. {{Autism Spectrum Disorder and the Child’s Weight-Related Behaviors: A Parents’ Perspective}}. {J Pediatr Nurs}. 2016.
To explore parent perspectives of how the attributes of their child’s autism spectrum disorder(ASD) impact nutrition, physical activity, screen time behaviors and risk for obesity. Secondarily, we examined the parent’s perception of the healthcare providers (HCP) influence on these weight-related behaviors. DESIGN AND METHOD: We conducted and audio-recorded telephone interviews with parents of children with ASD (n=8) using a structured question guide. Data were transcribed and thematic analysis was conducted. Issues surrounding weight-related behaviors and parental strategies used were reported. RESULTS: Two overarching themes with eight subthemes emerged: (1) Challenges related to features of ASD (subthemes included fixation on food, sensory issues/rigidity, developmental factors, impaired social skills, and medication effects) and (2) Challenges related to the care of children with ASD (subthemes included lack of individualized care planning, picking your battles and the impact of ASD on family). CONCLUSION: Strategies extracted from the parent narratives promoted both healthy and unhealthy weight-related behaviors. The key finding in this study is that some parents did not follow HCP guidance when they perceived that the HCP did not understand their particular situation. PRACTICE IMPLICATIONS: Implementation of healthy weight-related behaviors can be optimized when providers consider the child’s challenging ASD behaviors, affirm the difficulties encountered by the family and provide guidance that builds on the individual child/family strengths.
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12. Wong CM, Koh HC. {{Brief Report: Investigating the Implications of Applying the New DSM-5 Criteria for Diagnosing Autism Spectrum Disorder in a Preschool Population in Singapore}}. {J Autism Dev Disord}. 2016.
Diagnostic reports for 206 children who underwent an assessment for autism spectrum disorder (ASD) using the DSM-IV-TR criteria, were re-evaluated using the DSM-5 criteria. Mean age of the children at time of diagnosis was 3 years 10 months. Of the 202 children diagnosed with ASD on the DSM-IV-TR, 184 (91.1 %) also met the DSM-5 criteria for ASD. The overall concordance rate of ASD diagnosis on the DSM-IV-TR and DSM-5 was higher than that reported in other studies. Of the 18 children who did not meet DSM-5 criteria for ASD, 16 children met all social communication criteria but did not fulfil at least two restricted and repetitive behaviour (RRB) criteria. Six of those children had further RRBs emerging later on follow-up.
