1. Fluegge K. {{Re: « Worsening Psychosis After Fever of Unknown Origin in an Adolescent Boy with Autism » by Huynh et al. (J Child Adolesc Psychopharmacol 2013; 23:224-227)}}. {J Child Adolesc Psychopharmacol};2017 (Jan 19)
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2. Getahun D, Fassett MJ, Peltier MR, Wing DA, Xiang AH, Chiu V, Jacobsen SJ. {{Association of Perinatal Risk Factors with Autism Spectrum Disorder}}. {Am J Perinatol};2017 (Jan 18)
Objective To examine the association between exposures to perinatal factors and autism spectrum disorders (ASD). Study Design A retrospective cohort study of ASD among children born in Kaiser Permanente Southern California hospitals between 1991 and 2009 (n = 594,638). Medical records were used to determine exposure to perinatal (antepartum and intrapartum) complications. ASD was diagnosed using DSM-IV criteria. Multivariable Cox regression was used to estimate hazard ratios (HRs). Result Children with ASD were more likely to be exposed to perinatal complications (HR = 1.15, 95% confidence interval [CI]: 1.09-1.21) than neurotypical children. Children exposed to antepartum (HR = 1.22, 95% CI: 1.10-1.36) and intrapartum (HR = 1.10, 95% CI: 1.04-1.17) complications were at increased risk of ASD. The risk was even greater when both antepartum and intrapartum conditions were present (HR = 1.44, 95% CI: 1.26-1.63). Conclusion Exposure to antepartum or intrapartum complications increases the risk of ASD in the offspring. Therefore, pregnancy complications may help identify children who could benefit from early screening and intervention for this common neurodevelopmental condition.
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3. Guloksuz SA, Abali O, Aktas Cetin E, Bilgic Gazioglu S, Deniz G, Yildirim A, Kawikova I, Guloksuz S, Leckman JF. {{Elevated plasma concentrations of S100 calcium-binding protein B and tumor necrosis factor alpha in children with autism spectrum disorders}}. {Rev Bras Psiquiatr};2017 (Jan 12):0.
Objective:: To investigate plasma concentrations of S100B (a calcium-binding protein derived primarily from the glia) and inflammatory cytokines in children with autism and the relationship between S100B and cytokine concentrations. Methods:: Plasma levels of S100B, tumor necrosis factor alpha (TNF-alpha), interferon gamma, interleukin (IL)-1beta, IL-4, IL-6, IL-10, and IL-17A were measured in 40 unmedicated children with autism and 35 normally developing healthy children. The severity of autism was assessed using the Childhood Autism Rating Scale (CARS). Results:: Concentrations of both S100B and TNF-alpha were higher in children with autism before and after adjusting for a priori-selected confounders (age, sex, and body mass index). S100B concentrations were higher in children with severe autism compared to children with mild-moderate autism. However, this association remained as a trend after adjusting for confounders. S100B concentrations correlated positively with TNF-alpha concentrations. Conclusion:: Our findings showing an increase in peripheral concentrations of S100B and TNF-alpha provide limited support to the hypothesis about the roles of altered immune function and S100B in autism spectrum disorder (ASD). Studies of larger numbers of well-characterized individuals with ASD are needed to clarify the potential role of the immune system in the pathophysiology of this disorder.
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4. Jack A, Pelphrey KA. {{Annual Research Review: Understudied populations within the autism spectrum – current trends and future directions in neuroimaging research}}. {J Child Psychol Psychiatry};2017 (Jan 19)
BACKGROUND: Autism spectrum disorders (ASDs) are a heterogeneous group of neurodevelopmental conditions that vary in both etiology and phenotypic expression. Expressions of ASD characterized by a more severe phenotype, including autism with intellectual disability (ASD + ID), autism with a history of developmental regression (ASD + R), and minimally verbal autism (ASD + MV) are understudied generally, and especially in the domain of neuroimaging. However, neuroimaging methods are a potentially powerful tool for understanding the etiology of these ASD subtypes. SCOPE AND METHODOLOGY: This review evaluates existing neuroimaging research on ASD + MV, ASD + ID, and ASD + R, identified by a search of the literature using the PubMed database, and discusses methodological, theoretical, and practical considerations for future research involving neuroimaging assessment of these populations. FINDINGS: There is a paucity of neuroimaging research on ASD + ID, ASD + MV, and ASD + R, and what findings do exist are often contradictory, or so sparse as to be ungeneralizable. We suggest that while greater sample sizes and more studies are necessary, more important would be a paradigm shift toward multimodal (e.g. imaging genetics) approaches that allow for the characterization of heterogeneity within etiologically diverse samples.
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5. Johnson KA, Vladescu JC, Kodak T, Sidener TM. {{An assessment of differential reinforment procedures for learners with autism spectrum disorder}}. {J Appl Behav Anal};2017 (Jan 19)
Differential reinforcement procedures may promote unprompted correct responding, resulting in a quicker transfer of stimulus control than nondifferential reinforcement. Recent studies that have compared reinforcement arrangements have found that the most effective arrangement may differ across participants. The current study conducted an assessment of differential reinforcement arrangements (i.e., quality, schedule, and magnitude) and nondifferential reinforcement to identify the most effective arrangement for each participant. The assessment phase showed that the quality arrangement was the most efficient for all participants during auditory-visual matching. Next, a validation phase was conducted to evaluate whether the assessment would predict the most effective arrangement across multiple skills. The results from the assessment phase were validated for all participants for the same skill. However, the results were only validated for one participant during the other skills (i.e., tact and intraverbal). The results are discussed in light of previous research and future areas of research.
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6. Mukherjee SB. {{Autism Spectrum Disorders – Diagnosis and Management}}. {Indian J Pediatr};2017 (Jan 19)
Autism Spectrum Disorder (ASD) is a neuro-developmental disorder commonly seen in children. It is characterized by age inappropriate, impaired social communication and the presence of stereotypic behavior. This disorder is hypothesized to result from cerebral dysfunction arising from a complex interaction between genetic, epigenetic and environmental factors. ASD should be suspected in children failing ASD specific screening tests, in the presence of red flags in social, language and/or play domains, in children with developmental or language delay, abnormal behavior, poor school performance or in those who are at high risk. Comprehensive assessment comprises of a step-wise approach that includes taking a detailed history, performing a holistic examination and observing the child closely in relation to play, social interaction and behavior. Diagnosis is established by application of the diagnostic criteria for ASD of the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM V). The degree of severity, intellectual and language impairment and presence of other illnesses should be specified. Functional assessment identifies an individual’s strengths and weaknesses. All these are important to formulate a customized intervention plan along with the family. The goal is to build up skills enabling optimal and as far as possible normal functioning while simultaneously reducing maladaptive behavior. This is achieved by a multi-disciplinary team comprising of various personnel experienced in tackling issues in ASD related to their respective areas of expertise. Intervention is primarily non-pharmacological, based on behavioral modification strategies. Drugs are only indicated in the reduction of target symptoms refractory to behavioral intervention. Although there is no cure, timely and appropriate intervention can improve the quality of life significantly.
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7. Wang Y, Zhang YB, Liu LL, Cui JF, Wang J, Shum DH, van Amelsvoort T, Chan RC. {{A Meta-Analysis of Working Memory Impairments in Autism Spectrum Disorders}}. {Neuropsychol Rev};2017 (Jan 19)
Autism spectrum disorders (ASD) are characterized by executive dysfunction, and working memory (WM) comprises one core component of executive function. Many studies have investigated WM impairments in individuals with ASD, however, a conclusive agreement has not been reached. The present study provided a meta-analytic review of WM impairments in individuals with ASD and evaluated potential moderating variables of this problem. Twenty-eight studies were included in this study, and the participants comprised 819 individuals with ASD and 875 healthy controls. A significant WM impairment (Cohen’s d = -0.61) was identified in the individuals with ASD, however, this impairment was not associated with age. Results of moderation analyses showed that (a) spatial WM was more severely impaired than verbal WM and (b) the component of cognitive processing (maintenance vs. maintenance plus manipulation) did not affect the severity of WM impairments. These findings suggest that WM is impaired in individuals with ASD and may have implications for interventions related to WM impairments in these individuals.
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8. Whitehouse AJ, Cooper MN, Bebbington K, Alvares G, Lin A, Wray J, Glasson EJ. {{Evidence of a reduction over time in the behavioral severity of autistic disorder diagnoses}}. {Autism Res};2017 (Jan 19)
The increasing prevalence of Autism Spectrum Disorders (ASD) may in part be due to a shift in the diagnostic threshold that has led to individuals with a less severe behavioral phenotype receiving a clinical diagnosis. This study examined whether there were changes over time in the qualitative and quantitative phenotype of individuals who received the diagnosis of Autistic Disorder. Data were from a prospective register of new diagnoses in Western Australia (n = 1252). From 2000 to 2006, we examined differences in both the percentage of newly diagnosed cases that met each criterion as well as severity ratings of the behaviors observed (not met, partially met, mild/moderate and extreme). Linear regression determined there was a statistically significant reduction from 2000 to 2006 in the percentage of new diagnoses meeting two of 12 criteria. There was also a reduction across the study period in the proportion of new cases rated as having extreme severity on six criteria. There was a reduction in the proportion of individuals with three or more criteria rated as extreme from 2000 (16.0%) to 2006 (1.6%), while percentage of new cases with no « extreme » rating on any criteria increased from 58.5% to 86.6% across the same period. This study provides the first clear evidence of a reduction over time in the behavioral severity of individuals diagnosed with Autistic Disorder during a period of stability in diagnostic criteria. A shift toward diagnosing individuals with less severe behavioral symptoms may have contributed to the increasing prevalence of Autistic Disorder diagnoses. Autism Res 2017. (c) 2016 International Society for Autism Research, Wiley Periodicals, Inc.
