1. Charpentier J, Kovarski K, Houy-Durand E, Malvy J, Saby A, Bonnet-Brilhault F, Latinus M, Gomot M. {{Emotional prosodic change detection in autism Spectrum disorder: an electrophysiological investigation in children and adults}}. {J Neurodev Disord};2018 (Sep 18);10(1):28.
BACKGROUND: Autism spectrum disorder (ASD) is characterized by atypical behaviors in social environments and in reaction to changing events. While this dyad of symptoms is at the core of the pathology along with atypical sensory behaviors, most studies have investigated only one dimension. A focus on the sameness dimension has shown that intolerance to change is related to an atypical pre-attentional detection of irregularity. In the present study, we addressed the same process in response to emotional change in order to evaluate the interplay between alterations of change detection and socio-emotional processing in children and adults with autism. METHODS: Brain responses to neutral and emotional prosodic deviancies (mismatch negativity (MMN) and P3a, reflecting change detection and orientation of attention toward change, respectively) were recorded in children and adults with autism and in controls. Comparison of neutral and emotional conditions allowed distinguishing between general deviancy and emotional deviancy effects. Moreover, brain responses to the same neutral and emotional stimuli were recorded when they were not deviants to evaluate the sensory processing of these vocal stimuli. RESULTS: In controls, change detection was modulated by prosody: in children, this was characterized by a lateralization of emotional MMN to the right hemisphere, and in adults, by an earlier MMN for emotional deviancy than for neutral deviancy. In ASD, an overall atypical change detection was observed with an earlier MMN and a larger P3a compared to controls suggesting an unusual pre-attentional orientation toward any changes in the auditory environment. Moreover, in children with autism, deviancy detection depicted reduced MMN amplitude. In addition in children with autism, contrary to adults with autism, no modulation of the MMN by prosody was present and sensory processing of both neutral and emotional vocal stimuli appeared atypical. CONCLUSIONS: Overall, change detection remains altered in people with autism. However, differences between children and adults with ASD evidence a trend toward normalization of vocal processing and of the automatic detection of emotion deviancy with age.
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2. Chenausky K, Norton A, Tager-Flusberg H, Schlaug G. {{Behavioral predictors of improved speech output in minimally verbal children with autism}}. {Autism Res};2018 (Sep 19)
We investigated the relationship between eight theoretically motivated behavioral variables and a spoken-language-related outcome measure, after 25 sessions of treatment for speech production in 38 minimally verbal children with autism. After removing potential predictors that were uncorrelated with the outcome variable, two remained. We used both complete-case and multiple-imputation analyses to address missing predictor data and performed linear regressions to identify significant predictors of change in percent syllables approximately correct after treatment. Baseline phonetic inventory (the number of English phonemes repeated correctly) was the most robust predictor of improvement. In the group of 17 participants with complete data, ADOS score also significantly predicted the outcome. In contrast to some earlier studies, nonverbal IQ, baseline levels of expressive language, and younger age did not significantly predict improvement. The present results are not only consistent with previous studies showing that verbal imitation and autism severity significantly predict spoken language outcomes in preschool-aged minimally verbal children with autism, but also extend these findings to older minimally verbal children with autism. Autism Res 2018. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: We wished to understand what baseline factors predicted whether minimally verbal children with autism would improve after treatment for spoken language. The outcome measure was change in percentage (%) syllables approximately correct on a set of 30 two-syllable words or phrases. Fifteen were both practiced in treatment and tested; the remainder were not practiced in treatment, but only tested, to assess how well children were able to generalize their new skills to an untrained set of words. Potential predictors tested were sex, age, expressive language, phonetic inventory (the number of English speech sounds repeated correctly), autism severity, and nonverbal IQ. Phonetic inventory and (for some children) autism severity predicted children’s posttreatment improvement. Nonverbal IQ and expressive language ability did not predict improvement, nor did younger age, suggesting that some older children with autism may be candidates for speech therapy.
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3. Hatta K, Hosozawa M, Tanaka K, Shimizu T. {{Exploring Traits of Autism and Their Impact on Functional Disability in Children with Somatic Symptom Disorder}}. {J Autism Dev Disord};2018 (Sep 18)
Subclinical traits of autism were measured in children with somatic symptom disorder (SSD, n = 28) and compared with age-matched controls (n = 26) using the Autism Spectrum Quotient (AQ) children’s version. The KINDL(R) quality of life questionnaire was used to assess functional disability. Although there was no significant group difference in total traits of autism, SSD group had significantly greater difficulty in attention switching domain. Logistic regression analysis confirmed attention switching and age were associated with increased likelihood of SSD. In SSD group, difficulty in attention switching significantly negatively correlated with total, family, and friends quality of life scores. In conclusion, assessment and treatment targeting difficulties in attention switching could be useful when dealing with children with SSD.
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4. Hollander E, Uzunova G, Taylor BP, Noone R, Racine E, Doernberg E, Freeman K, Ferretti CJ. {{Randomized Crossover Feasibility Trial of Helminthic Trichuris Suis Ova vs. Placebo for Repetitive Behaviors in Adult Autism Spectrum Disorder}}. {World J Biol Psychiatry};2018 (Sep 19):1-25.
OBJECTIVES: Inflammatory mechanisms are implicated in the etiology of Autism Spectrum Disorder (ASD), and use of the immunomodulator Trichuris Suis Ova (TSO) is a novel treatment approach. This pilot study determined the effect sizes for TSO vs. placebo on repetitive behaviors, irritability and global functioning in adults with ASD. METHODS: A 28-week double-blind, randomized two-period crossover study of TSO vs. placebo in 10 ASD adults, ages 17 to 35, was completed, with a 4-week washout between each 12-week period at Montefiore Medical Center, Albert Einstein College of Medicine. Subjects with ASD, history of seasonal, medication or food allergies, Y-BOCS >/= 6 and IQ >/=70 received 2500 TSO ova or matching placebo every two weeks of each 12-week period. RESULTS: Large effect sizes for improvement in repetitive behaviors (d = 1.0), restricted interests (d = 0.82), rigidity (d = 0.79), and irritability (d = 0.78) were observed after 12 weeks of treatment. No changes were observed in the social-communication domain. Differences between treatment groups did not reach statistical significance. TSO had only minimal, non-serious side effects. CONCLUSIONS: This proof-of-concept study demonstrates the feasibility of TSO for the treatment of ASD, including a favorable safety profile, and moderate to large effect sizes for reducing repetitive behaviors and irritability.
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5. Li C, Zhu G, Feng J, Xu Q, Zhou Z, Zhou B, Hu C, Liu C, Li H, Wang Y, Yan W, Ge X, Xu X. {{Improving the early screening procedure for autism spectrum disorder in young children: Experience from a community-based model in shanghai}}. {Autism Res};2018 (Sep 19)
Most children with autism spectrum disorder (ASD) are not diagnosed until the age of 4, thus missing the opportunity for early intervention. The objective of this study was to investigate the feasibility of an early screening program for ASD applied during well-child visits in a community-based sample. The study lasted for 4 years and was divided into two stages. Stage I involved the implementation of the basic screening model in 2014. Toddlers received level 1 screening via section A of the Chinese-validated version of the Checklist for Autism in Toddlers (CHAT-23) during 18- and 24-month well-child visits in Xuhui District, Shanghai, China. Screen-positive children were referred to receive section B of the CHAT-23 for level 2 screening, and those still screen-positive were referred to undergo diagnosis and evaluation. Stage II involved the implementation of the improved screening model from 2015 to 2017 with the following modifications: (a) an added observational component in level 1 screening; (b) telephone follow-ups with the screen-positive families; and (c) dissemination of information on ASD to families. The results showed that 42 of 22,247 screened children were diagnosed with ASD. The ASD diagnosis rates were 0.1% in Stage I and 0.21% in Stage II. The screen-positive rate and the show rate of referral for level 1 screening increased by 76.92% and 58.43%, respectively, in Stage II compared to Stage I. Our results suggest that with appropriate logistic support, this two-level screening model is feasible and effective for the early screening of ASD during well-child visits. Autism Res 2018. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Difficulty in the timely identification of autism spectrum disorder (ASD) results in missed opportunities for many ASD children to receive early intervention. In this study, we established an early screening model for ASD among children aged 18-24 months in the community by relying on the three-level child healthcare system in China. The results showed that this model can effectively identify and diagnose ASD in children at an early age and thus enable early intervention.
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6. Mendonsa LE, Tiwari S. {{A Survey of Knowledge and Beliefs regarding Autism in Speech-Language Pathologists in India}}. {Folia Phoniatr Logop};2018 (Sep 19);70(3-4):191-202.
BACKGROUND: Speech-language pathologists (SLPs) are significant team members in the identification, assessment, and rehabilitation of children with autism. With a recent upsurge in the number of children with autism, there arises a need to examine SLPs knowledge and skills in identification and intervention of children with autism. AIM: The present study is, thus, a novel attempt aimed to investigate knowledge and belief of SLPs in the assessment and intervention of autism in the Indian context. METHOD: A total of 219 SLPs participated in a web-based online survey. The study adopted a cross-sectional observational research design. RESULTS: The results of the study showed around 43% of the total SLPs obtained a good score on the knowledge section and 27% received a positive rating for the belief section. Additionally, factors like « educational qualification, » « duration of clinical experience, » and « caseload of children with autism » influenced knowledge and beliefs of SLPs about autism. CONCLUSION: The study results indicate that SLPs practicing in India show average and below average scores on a questionnaire assessing knowledge and beliefs regarding autism. The study findings have implications towards developing improved training and course structure related to assessment and intervention of children with autism for SLPs practicing in India.
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7. Prendeville P, Kinsella W. {{The Role of Grandparents in Supporting Families of Children with Autism Spectrum Disorders: A Family Systems Approach}}. {J Autism Dev Disord};2018 (Sep 18)
A family systems approach is required to identify the needs of families of children with autism. This paper explores how grandparents support children with autism and their parents using a family systems perspective. A thematic analysis of eighteen semi-structured interviews was conducted with participants from nine families, capturing experiences of both parents’ and grandparents’. Themes identified were family recalibrating; strengthening the family system; and current needs and future concerns of grandparents. The views of families indicated the overwhelming need to acknowledge the grandparental role in supporting families that strengthen the family system by supporting the needs of a child with autism. Findings revealed that grandfathers have a calming role in these families where children have significant behavioural difficulties.
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8. Tani H, Ishikawa N, Kobayashi Y, Yamaoka S, Fujii Y, Kaneko K, Takahashi T, Kobayashi M. {{Anti-MOG antibody encephalitis mimicking neurological deterioration in a case of Rett syndrome with MECP2 mutation}}. {Brain Dev};2018 (Nov);40(10):943-946.
BACKGROUND: Rett syndrome (RTT) is a neurodevelopmental disorder primarily caused by mutations in the methyl-CpG-binding protein 2 (MECP2) gene, resulting in developmental regression after normal development during infancy. Transient presentation of many autistic features is also commonly seen in RTT. Anti-myelin oligodendrocyte glycoprotein (MOG)-antibody encephalitis is an acquired relapsing demyelinating syndrome characterized by a variety of neuroinflammatory symptoms. Here, we report a case of anti-MOG antibody encephalitis in a patient with genetically confirmed RTT, which mimicked many of the features of RTT. CASE REPORT: A three-year-old girl presented with subacute verbal and motor dysfunction, along with involuntary movements and marked irritability. Magnetic resonance imaging (MRI) revealed extensive white matter lesions, with anti-MOG antibodies detected in the serum and cerebrospinal fluid, resulting in an initial diagnosis of anti-MOG antibody encephalitis. However, additional testing of the MECP2 gene was performed in response to persistent involuntary hand movements in combination with progressive verbal and motor deterioration. Sequencing analysis revealed a known pathogenic mutation in MEPC2, indicating a concurrent diagnosis of RTT. CONCLUSION: Both RTT and anti-MOG antibody encephalitis are rare conditions. Similarities in disease presentation suggest that anti-MOG antibody encephalitis may mimic many of the symptoms of RTT.
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9. Thabtah F. {{An accessible and efficient autism screening method for behavioural data and predictive analyses}}. {Health Informatics J};2018 (Sep 19):1460458218796636.
Autism spectrum disorder is associated with significant healthcare costs, and early diagnosis can substantially reduce these. Unfortunately, waiting times for an autism spectrum disorder diagnosis are lengthy due to the fact that current diagnostic procedures are time-consuming and not cost-effective. Overall, the economic impact of autism and the increase in the number of autism spectrum disorder cases across the world reveal an urgent need for the development of easily implemented and effective screening methods. This article proposes a new mobile application to overcome the problem by offering users and the health community a friendly, time-efficient and accessible mobile-based autism spectrum disorder screening tool called ASDTests. The proposed ASDTests app can be used by health professionals to assist their practice or to inform individuals whether they should pursue formal clinical diagnosis. Unlike existing autism screening apps being tested, the proposed app covers a larger audience since it contains four different tests, one each for toddlers, children, adolescents and adults as well as being available in 11 different languages. More importantly, the proposed app is a vital tool for data collection related to autism spectrum disorder for toddlers, children, adolescent and adults since initially over 1400 instances of cases and controls have been collected. Feature and predictive analyses demonstrate small groups of autistic traits improving the efficiency and accuracy of screening processes. In addition, classifiers derived using machine learning algorithms report promising results with respect to sensitivity, specificity and accuracy rates.
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10. Varcin KJ, Newnham JP, Whitehouse AJO. {{Maternal pre-pregnancy weight and autistic-like traits among offspring in the general population}}. {Autism Res};2018 (Sep 19)
There is an emerging body of evidence demonstrating that maternal obesity at the time of conception increases the risk for Autism Spectrum Disorders (ASD) among offspring. We explored whether pre-pregnancy weight was related to autistic-like traits among offspring not diagnosed with ASD. A large sample of women, recruited during the second trimester of pregnancy, had their height measured and reported their pre-pregnancy weight. These measurements were then converted to a Body Mass Index (BMI) using the formula: (weight in kilograms)/(height in metres(2) ). At 19-20 years of age, 1238 offspring of these women completed a measure of autistic-like traits, the Autism-Spectrum Quotient (AQ). Regression analyses identified a positive association between increasing maternal pre-pregnancy BMI and increasing AQ Total Score amongst offspring; this association was maintained even after controlling for a range of variables including maternal/obstetric factors (age at conception, education, smoking, alcohol consumption, hypertensive diseases, diabetes, threatened abortion), paternal BMI at pregnancy, and child factors (parity, sex) (P < .01, R(2) =.03). Chi-square analyses found that women with pre-pregnancy obesity (BMI >/= 30) were more likely to have offspring with high scores (>/=26) on the AQ (P = .01). Follow-up binary logistic regression analyses also accounting for the same obstetric and sociodemographic variables found that the offspring of women with pre-pregnancy obesity were at a statistically significantly increased risk of having high scores (>/=26) on the AQ (OR: 2.80; 95% CI: 1.06, 7.43). This study provides further evidence that maternal pre-pregnancy obesity is associated with autism-like behaviors in offspring. LAY SUMMARY: The current study explored whether pre-pregnancy weight was related to autistic-like traits among offspring not diagnosed with ASD. We found that pre-pregnancy body mass index in women is associated with the amount of autistic-like traits in their children in early adulthood. Specifically, women who were obese at the time of conception were more likely to have a child who had high levels of autistic-like traits in early adulthood.
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11. Zhang M, Ma W, Zhang J, He Y, Wang J. {{Analysis of gut microbiota profiles and microbe-disease associations in children with autism spectrum disorders in China}}. {Sci Rep};2018 (Sep 18);8(1):13981.
Autism spectrum disorder (ASD) is a set of complex neurodevelopmental disorders. Recent studies reported that children with ASD have altered gut microbiota profiles compared with typical development (TD) children. However, few studies on gut bacteria of children with ASD have been conducted in China. Here, in order to elucidate changes of fecal microbiota in children with ASD, 16S rRNA sequencing was conducted and the 16S rRNA (V3-V4) gene tags were amplified. We investigated differences in fecal microbiota between 35 children with ASD and 6 TD children. At the phylum level, the fecal microbiota of ASD group indicated a significant increase of the Bacteroidetes/Firmicutes ratio. At the genus level, we found that the relative abundance of Sutterella, Odoribacter and Butyricimonas was much more abundant in the ASD group whereas the abundance of Veillonella and Streptococcus was decreased significantly compared to the control group. Functional analysis demonstrated that butyrate and lactate producers were less abundant in the ASD group. In addition, we downloaded the association data set of microbe-disease from human microbe-disease association database and constructed a human disease network including ASD using our gut microbiome results. In this microbe-disease network based on microbe similarity of diseases, we found that ASD is positively correlated with periodontal, negatively related to type 1 diabetes. Therefore, these results suggest that microbe-based disease analysis is able to predict novel connection between ASD and other diseases and may play a role in revealing the pathogenesis of ASD.
