1. Conti E, Retico A, Palumbo L, Spera G, Bosco P, Biagi L, Fiori S, Tosetti M, Cipriani P, Cioni G, Muratori F, Chilosi A, Calderoni S. {{Autism Spectrum Disorder and Childhood Apraxia of Speech: Early Language-Related Hallmarks across Structural MRI Study}}. {Journal of personalized medicine}. 2020; 10(4).
Autism Spectrum Disorder (ASD) and Childhood Apraxia of Speech (CAS) are developmental disorders with distinct diagnostic criteria and different epidemiology. However, a common genetic background as well as overlapping clinical features between ASD and CAS have been recently reported. To date, brain structural language-related abnormalities have been detected in both the conditions, but no study directly compared young children with ASD, CAS and typical development (TD). In the current work, we aim: (i) to test the hypothesis that ASD and CAS display neurostructural differences in comparison with TD through morphometric Magnetic Resonance Imaging (MRI)-based measures (ASD vs. TD and CAS vs. TD); (ii) to investigate early possible disease-specific brain structural patterns in the two clinical groups (ASD vs. CAS); (iii) to evaluate predictive power of machine-learning (ML) techniques in differentiating the three samples (ASD, CAS, TD). We retrospectively analyzed the T1-weighted brain MRI scans of 68 children (age range: 34-74 months) grouped into three cohorts: (1) 26 children with ASD (mean age ± standard deviation: 56 ± 11 months); (2) 24 children with CAS (57 ± 10 months); (3) 18 children with TD (55 ± 13 months). Furthermore, a ML analysis based on a linear-kernel Support Vector Machine (SVM) was performed. All but one brain structures displayed significant higher volumes in both ASD and CAS children than TD peers. Specifically, ASD alterations involved fronto-temporal regions together with basal ganglia and cerebellum, while CAS alterations are more focused and shifted to frontal regions, suggesting a possible speech-related anomalies distribution. Caudate, superior temporal and hippocampus volumes directly distinguished the two conditions in terms of greater values in ASD compared to CAS. The ML analysis identified significant differences in brain features between ASD and TD children, whereas only some trends in the ML classification capability were detected in CAS as compared to TD peers. Similarly, the MRI structural underpinnings of two clinical groups were not significantly different when evaluated with linear-kernel SVM. Our results may represent the first step towards understanding shared and specific neural substrate in ASD and CAS conditions, which subsequently may contribute to early differential diagnosis and tailoring specific early intervention.
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2. Downs SJ, Boddy LM, McGrane B, Rudd JR, Melville CA, Foweather L. {{Motor competence assessments for children with intellectual disabilities and/or autism: a systematic review}}. {BMJ open sport & exercise medicine}. 2020; 6(1): e000902.
OBJECTIVE: Gross motor competence is essential for daily life functioning and participation in physical activities. Prevalence of gross motor competence in children with intellectual disabilities (ID) and/or autism is unclear. This systematic review aimed to identify appropriate assessments for children with ID and/or autism. DESIGN & DATA SOURCES: An electronic literature search was conducted using the EBSCOhost platform searching MEDLINE, Education Research Complete, ERIC, CINAHL Plus and SPORTDiscus databases. ELIGIBILITY CRITERIA: Included studies sampled children with ID and/or autism aged between 1 and 18 yrs, used field-based gross motor competence assessments, reported measurement properties, and were published in English. The utility of assessments were appraised for validity, reliability, responsiveness and feasibility. RESULTS: The initial search produced 3182 results, with 291 full text articles screened. 13 articles including 10 assessments of motor competence were included in this systematic review. There was limited reporting across measurement properties, mostly for responsiveness and some aspects of validity. The Bruininks-Oseretsky Test of Motor Proficiency-2 followed by The Test of Gross Motor Development-2 demonstrated the greatest levels of evidence for validity and reliability. Feasibility results were varied, most instruments required little additional equipment (n=8) and were suitable for a school setting, but, additional training (n=7) was needed to score and interpret the results. CONCLUSION: This review found the BOT-2 followed by the TGMD-2 to be the most psychometrically appropriate motor competency assessments for children with ID and/or autism in field-based settings. Motor competence assessment research is limited for these cohorts and more research is needed. PROSPERO REGISTRATION NUMBER: CRD42019129464.
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3. Erden YJ, Hummerstone H, Rainey S. {{Automating autism assessment: What AI can bring to the diagnostic process}}. {Journal of evaluation in clinical practice}. 2020.
This paper examines the use of artificial intelligence (AI) for the diagnosis of autism spectrum disorder (ASD, hereafter autism). In so doing we examine some problems in existing diagnostic processes and criteria, including issues of bias and interpretation, and on concepts like the ‘double empathy problem’. We then consider how novel applications of AI might contribute to these contexts. We’re focussed specifically on adult diagnostic procedures as childhood diagnosis is already well covered in the literature.
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4. Howell M, Bradshaw J, Langdon PE. {{‘There isn’t a checklist in the world that’s got that on it’: Special needs teachers’ opinions on the assessment and teaching priorities of pupils on the autism spectrum}}. {Journal of intellectual disabilities : JOID}. 2020: 1744629520972901.
Two focus groups were conducted with special needs teachers to: (a) identify barriers to learning for autistic pupils, (b) consider broad assessment domains and specific skills or behaviours which teachers consider important for these pupils, and (c) give their opinions on teacher assessments. Data analysis resulted in six main themes: (a) barriers to learning, (b) teacher priorities for autistic pupils, (c) ways of overcoming barriers, (d) the concept of ‘true mastery’, (e) assessing the bigger picture, and (f) practicalities of assessment. Results showed that teachers have priorities for the pupils they know well and concerns about the assessments they regularly use. To ensure face and content validity of teacher assessments, and for assessments to be useful to and valued by the teachers who use them, it is recommended that teachers have opportunities to input during various aspects of the assessment development process.
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5. Lai X, Zhang Q, Zhu J, Yang T, Guo M, Li Q, Liu H, Wu QH, Chen J, Li TY. {{A weekly vitamin A supplementary program alleviates social impairment in Chinese children with autism spectrum disorders and vitamin A deficiency}}. {European journal of clinical nutrition}. 2020.
BACKGROUND: Children in China with Autism Spectrum Disorders (ASD) are prone to vitamin A deficiency (VAD). The present study compared two vitamin A supplements (VAS) in two groups of children with ASD and VAD to explore a better VAS program for children with ASD. METHOD: A total of 138 3-8-year-old children with ASD (118 males and 20 females) were enrolled in this 6-month study. Of these 138 children, 82 who had VAD (ASD-VAD) were divided into two VAS groups that received the recommended VAS program (RNI-VAS) or a weekly dose of VAS (WD-VAS). The 56 children who had normal vitamin A levels (ASD-VAN) served as a control group. The Social Responsiveness Scale (SRS) was used to assess the severity of social impairment before and after the interventions. Their serum retinol (VA) and oxytocin (OXT) concentrations, the mRNA expression of retinoic acid receptors (RARs), and CD38 gene in peripheral blood was measured before and after the 6-month intervention. RESULTS: The WD-VAS program increased VA levels better than the RNI-VAS program did (P < 0.01), and it significantly decreased SRS scores (P < 0.05). In addition, the change in VA was positively correlated with the change in mRNA levels in RARβ (r = 0.2441, P = 0.0092), the CD38 in PBMC (r = 0.2729, P = 0.0033), and the change in OXT concentration in serum (r = 0.3735, P < 0.0001). VA was also negatively correlated with changes in SRS scores across the three groups (r = -0.2615, P = 0.0026). CONCLUSION: The WD-VAS might be more suitable for children with ASD and VAD than other interventions to improve both VA and social functioning, which may be mediated through the RARβ-CD38-OXT axis. Lien vers le texte intégral (Open Access ou abonnement)
6. McGrath K, Bonuck K, Mann M. {{Exploratory spatial analysis of autism rates in New York school districts: role of sociodemographic and language differences}}. {J Neurodev Disord}. 2020; 12(1): 35.
BACKGROUND: Literature on autism spectrum disorder (ASD) suggests lower ASD prevalence and higher age of diagnosis among children of color, from lower socioeconomic backgrounds, and from families with lower educational levels. These disparities have been attributed to factors such as limited access to diagnostic and treatment services, less opportunity for upward mobility to locales with ample resources, and linguistic barriers. However, few studies describe prevalence and geographic differences of ASD diagnoses by English Language Learner (ELL) status. OBJECTIVES: The primary objectives of this study are to (1) spatially explore the prevalence of ASD among New York State school districts and (2) examine differences of ASD prevalence rates between ELLs and native English-speaking peers. METHODS: Using the 2016-2017 district-level data on public and non-public school age students (3-21 years old) receiving special education services in New York, we analyzed sociodemographic trends among school districts with varying percentages (low, medium, and high ranges) of students with ASD and ELLs. To do this, we conducted exploratory spatial analyses using GIS software, analysis of school district level demographic data, and multivariate linear regression. RESULTS: In contrast to prior research on ASD prevalence among minority groups, we found disproportionately higher rates of ASD among school districts with higher proportions of Black and Hispanic students. Geographic analysis revealed statistically significant clustering of school districts with high ASD rates in New York City and Albany. Higher proportions of ELLs tended to be concentrated in densely populated, urban, and geographically smaller school districts and had higher proportions of Black, Hispanic, and Asian students. CONCLUSIONS: Schools with higher rates of ASD and ELL students tend to be concentrated in urban regions throughout New York and have higher representation of Black and Hispanic/Latino students, as well as higher rates of learning disabilities in general. Further research is warranted to explore possible reasons for this phenomenon.
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7. Roman-Urrestarazu A, Yáñez C, López-Garí C, Elgueta C, Allison C, Brayne C, Troncoso M, Baron-Cohen S. {{Autism screening and conditional cash transfers in Chile: Using the Quantitative Checklist (Q-CHAT) for early autism detection in a low resource setting}}. {Autism}. 2020: 1362361320972277.
Getting a diagnosis of autism can take long, because autism is different across people, but also because it depends on the way it gets diagnosed. This is especially important in poorer countries or in the case of poor people living in wealthier countries that have significant groups of disadvantaged communities. We adapted a 10-item version of the Q-CHAT-25 questionnaire for use in routine health check-ups programme in Chile and recruited 287 participants under the age of three divided into three groups: Controls (125), Developmental Delay (149) and Autism Spectrum Condition (13). Our results show that a short questionnaire for autism screening can be successfully applied in a health-check programme in poor resource settings. Our results show that our questionnaire had good overall performance, not different to its longer version, the Q-CHAT-25. Our questionnaire was autism specific, with good sensitivity and reliability, and is suitable to be used in a screening setting. This study provides evidence that the implementation of Autism Spectrum Condition screening programmes using the Q-CHAT-10 provides value for money and improves diagnosis of Autism Spectrum Condition in those participating in routine health check-up programmes in developing countries or poor areas of wealthy countries.
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8. Turcotte P, Shea L. {{Physical health needs and self-reported health status among adults with autism}}. {Autism}. 2020: 1362361320971099.
Self-reported health can be a powerful measure of how adults with autism spectrum disorder view their overall health. The goal of this study was to determine how health statuses of adults with autism spectrum disorder change, when they are currently receiving or need more physical health services. The Pennsylvania autism needs assessment included a survey of individuals with autism aged 18 years or older responding for themselves. They indicated whether their health status changed over the previous year as improved, decreased, or remained stable. We found that most adults with autism spectrum disorder had their health remain the same (68%). We also found that adults who said their health got worse needed more physical health services, compared to those whose health remained stable, or got better. Supporting the health of adults with autism can be complex and finding out more about how physical health services play a role in that care is important.
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9. Volk HE, Park B, Hollingue C, Jones KL, Ashwood P, Windham GC, Lurman F, Alexeeff SE, Kharrazi M, Pearl M, Van de Water J, Croen LA. {{Maternal immune response and air pollution exposure during pregnancy: insights from the Early Markers for Autism (EMA) study}}. {J Neurodev Disord}. 2020; 12(1): 42.
BACKGROUND: Perinatal exposure to air pollution and immune system dysregulation are two factors consistently associated with autism spectrum disorders (ASD) and other neurodevelopmental outcomes. However, little is known about how air pollution may influence maternal immune function during pregnancy. OBJECTIVES: To assess the relationship between mid-gestational circulating levels of maternal cytokines/chemokines and previous month air pollution exposure across neurodevelopmental groups, and to assess whether cytokines/chemokines mediate the relationship between air pollution exposures and risk of ASD and/or intellectual disability (ID) in the Early Markers for Autism (EMA) study. METHODS: EMA is a population-based, nested case-control study which linked archived maternal serum samples collected during weeks 15-19 of gestation for routine prenatal screening, birth records, and Department of Developmental Services (DDS) records. Children receiving DDS services for ASD without intellectual disability (ASD without ID; n = 199), ASD with ID (ASD with ID; n = 180), ID without ASD (ID; n = 164), and children from the general population (GP; n = 414) with no DDS services were included in this analysis. Serum samples were quantified for 22 cytokines/chemokines using Luminex multiplex analysis technology. Air pollution exposure for the month prior to maternal serum collection was assigned based on the Environmental Protection Agency’s Air Quality System data using the maternal residential address reported during the prenatal screening visit. RESULTS: Previous month air pollution exposure and mid-gestational maternal cytokine and chemokine levels were significantly correlated, though weak in magnitude (ranging from - 0.16 to 0.13). Ten pairs of mid-pregnancy immune markers and previous month air pollutants were significantly associated within one of the child neurodevelopmental groups, adjusted for covariates (p < 0.001). Mid-pregnancy air pollution was not associated with any neurodevelopmental outcome. IL-6 remained associated with ASD with ID even after adjusting for air pollution exposure. CONCLUSION: This study suggests that maternal immune activation is associated with risk for neurodevelopmental disorders. Furthermore, that prenatal air pollution exposure is associated with small, but perhaps biologically relevant, effects on maternal immune system function during pregnancy. Additional studies are needed to better evaluate how prenatal exposure to air pollution affects the trajectory of maternal immune activation during pregnancy, if windows of heightened susceptibility can be identified, and how these factors influence neurodevelopment of the offspring. Lien vers le texte intégral (Open Access ou abonnement)
