1. Fleury VP, Trevors G, Kendeou P. {{Public Perception of Autism Treatments: The Role of Credibility and Evidence}}. {J Autism Dev Disord}. 2019.
We explored the influence of credibility and evidence on public perceptions of ASD treatments using survey methodology. Participants (N = 379) read texts about different ASD treatments. The text presentation was based on a 2 x 2 within-subjects factorial design with treatment status [evidence based practices (EBP) vs. non-EBP] and source credibility in the text (credible vs. non-credible) as the independent variables. An instructional manipulation condition served as a between subjects factor. Respondents were more familiar with non-EBPs than EBPs, but viewed EBPs as being more credible and were more likely to endorse them compared to pseudoscientific practices. Interactions between source credibility and instructional manipulation were found on ratings of credibility and recommendation of both EBP and non-EBP texts. Implications of these findings are discussed.
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2. Gouder L, Vitrac A, Goubran-Botros H, Danckaert A, Tinevez JY, Andre-Leroux G, Atanasova E, Lemiere N, Biton A, Leblond CS, Poulet A, Boland A, Deleuze JF, Benchoua A, Delorme R, Bourgeron T, Cloez-Tayarani I. {{Altered spinogenesis in iPSC-derived cortical neurons from patients with autism carrying de novo SHANK3 mutations}}. {Sci Rep}. 2019; 9(1): 94.
The synaptic protein SHANK3 encodes a multidomain scaffold protein expressed at the postsynaptic density of neuronal excitatory synapses. We previously identified de novo SHANK3 mutations in patients with autism spectrum disorders (ASD) and showed that SHANK3 represents one of the major genes for ASD. Here, we analyzed the pyramidal cortical neurons derived from induced pluripotent stem cells from four patients with ASD carrying SHANK3 de novo truncating mutations. At 40-45 days after the differentiation of neural stem cells, dendritic spines from pyramidal neurons presented variable morphologies: filopodia, thin, stubby and muschroom, as measured in 3D using GFP labeling and immunofluorescence. As compared to three controls, we observed a significant decrease in SHANK3 mRNA levels (less than 50% of controls) in correlation with a significant reduction in dendritic spine densities and whole spine and spine head volumes. These results, obtained through the analysis of de novo SHANK3 mutations in the patients’ genomic background, provide further support for the presence of synaptic abnormalities in a subset of patients with ASD.
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3. Jones RM, Plesa Skwerer D, Pawar R, Hamo A, Carberry C, Ajodan EL, Caulley D, Silverman MR, McAdoo S, Meyer S, Yoder A, Clements M, Lord C, Tager-Flusberg H. {{How effective is LENA in detecting speech vocalizations and language produced by children and adolescents with ASD in different contexts?}}. {Autism Res}. 2019.
The LENA system was designed and validated to provide information about the language environment in children 0 to 4 years of age and its use has been expanded to populations with a number of communication profiles. Its utility in children 5 years of age and older is not yet known. The present study used acoustic data from two samples of children with autism spectrum disorders (ASD) to evaluate the reliability of LENA automated analyses for detecting speech utterances in older, school age children, and adolescents with ASD, in clinic and home environments. Participants between 5 and 18 years old who were minimally verbal (study 1) or had a range of verbal abilities (study 2) completed standardized assessments in the clinic (study 1 and 2) and in the home (study 2) while speech was recorded from a LENA device. We compared LENA segment labels with manual ground truth coding by human transcribers using two different methods. We found that the automated LENA algorithms were not successful (<50% reliable) in detecting vocalizations from older children and adolescents with ASD, and that the proportion of speaker misclassifications by the automated system increased significantly with the target-child's age. The findings in children and adolescents with ASD suggest possibly misleading results when expanding the use of LENA beyond the age ranges for which it was developed and highlight the need to develop novel automated methods that are more appropriate for older children. Autism Research 2019. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Current commercially available speech detection algorithms (LENA system) were previously validated in toddlers and children up to 48 months of age, and it is not known whether they are reliable in older children and adolescents. Our data suggest that LENA does not adequately capture speech in school age children and adolescents with autism and highlights the need to develop new automated methods for older children. Lien vers le texte intégral (Open Access ou abonnement)
4. Lieder I, Adam V, Frenkel O, Jaffe-Dax S, Sahani M, Ahissar M. {{Perceptual bias reveals slow-updating in autism and fast-forgetting in dyslexia}}. {Nat Neurosci}. 2019.
Individuals with autism and individuals with dyslexia both show reduced use of previous sensory information (stimuli statistics) in perceptual tasks, even though these are very different neurodevelopmental disorders. To better understand how past sensory information influences the perceptual experience in these disorders, we first investigated the trial-by-trial performance of neurotypical participants in a serial discrimination task. Neurotypical participants overweighted recent stimuli, revealing fast updating of internal sensory models, which is adaptive in changing environments. They also weighted the detailed stimuli distribution inferred by longer-term accumulation of stimuli statistics, which is adaptive in stable environments. Compared to neurotypical participants, individuals with dyslexia weighted earlier stimuli less heavily, whereas individuals with autism spectrum disorder weighted recent stimuli less heavily. Investigating the dynamics of perceptual inference reveals that individuals with dyslexia rely more on information about the immediate past, whereas perception in individuals with autism is dominated by longer-term statistics.
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5. Miranda A, Berenguer C, Rosello B, Baixauli I. {{Relationships between the social communication questionnaire and pragmatic language, socialization skills, and behavioral problems in children with autism spectrum disorders}}. {Appl Neuropsychol Child}. 2019: 1-12.
The Social Communication Questionnaire (SCQ) is one of the most widely used screening instruments for autism spectrum disorder (ASD). This study examined the relationships between the reciprocal social interaction, communication, and repetitive/stereotyped factors on the Strength and Difficulties Questionnaire (SDQ) and pragmatic, socialization, and behavioral problems in children with ASD and children with typical development (TD). Participants were seven- to 11-year-old children with ASD without intellectual disability (n = 52) and with TD (n = 37). The two groups were matched on age and intelligence quotient. Significant differences were found between the two groups on the SCQ domains and the outcome measures (pragmatic language, socialization skills, and behavioral problems). Furthermore, multiple regression analysis exploring the relationships between the SCQ and the criterion variables showed that reciprocal social interaction and repetitive/stereotyped behaviors had an important weight in the prediction of daily life social skills in typically developing children (34%). However, the model with the highest percentage of explained variance in children with ASD involved pragmatic language, with reciprocal social interaction as the best predictor, even reaching 41%. The findings highlight the suitability of routinely including the SCQ in the first stage of assessment protocols for ASD, and, in particular, they show its capacity to predict a valuable repertoire of behaviors.
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6. Tonacci A, Bagnato G, Pandolfo G, Billeci L, Sansone F, Conte R, Gangemi S. {{MicroRNA Cross-Involvement in Autism Spectrum Disorders and Atopic Dermatitis: A Literature Review}}. {J Clin Med}. 2019; 8(1).
Autism Spectrum Disorder (ASD) is a category of neurodevelopmental disturbances seriously affecting social skills, to which the scientific community has paid great attention in last decades. To date, their pathogenesis is still unknown, but several studies highlighted the relevance of gene-environment interactions in the onset of ASD. In addition, an immune involvement was seen in a wide number of ASD subjects, leading several researchers to hypothesize a possible common pathogenesis between ASD and immune disturbances, including Atopic Dermatitis (AD). In general, among potential contributing factors, microRNAs (miRNAs), small molecules capable of controlling gene expression and targeting mRNA transcripts, might represent one of the major circulating link, possibly unraveling the connections between neurodevelopmental and immune conditions. Under such premises, we conducted a systematic literature review, under the PRISMA guidelines, trying to define the panel of common miRNAs involved in both ASD and AD. The review retrieved articles published between January 1, 2005, and December 13, 2018, in PubMed, ScienceDirect, PsycARTICLES, and Google Scholar. We found a handful of works dealing with miRNAs in ASD and AD, with the most overlapping dysregulated miRNAs being miR-146 and miR-155. Two possible compounds are abnormally regulated in both ASD and AD subjects, possibly cross-contributing to the interactions between the two disorders, setting the basis to investigate more precisely the possible link between ASD and AD from another, not just clinical, perspective.
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7. Veddum L, Pedersen HL, Landert AL, Bliksted V. {{Do patients with high-functioning autism have similar social cognitive deficits as patients with a chronic cause of schizophrenia?}}. {Nord J Psychiatry}. 2019: 1-7.
OBJECTIVE: There is substantial evidence that both patients with schizophrenia and patients with autism spectrum disorders (ASD) have impaired social cognition including theory of mind (ToM) deficits. However, it remains unclear if both verbal (explicit) and non-verbal (implicit) ToM as well as social perception are similarly affected in both disorders. METHODS: Twenty-one patients diagnosed with schizophrenia and 11 patients diagnosed with ASD were matched one-to-one to healthy controls based on gender, age, and educational level. Social functioning was measured by Personal and Social Performance (PSP) scale. Neurocognition was measured using Brief Assessment of Cognition in Schizophrenia (BACS-DK), and four subtests from Wechsler Adult Intelligence (WAIS-IV) scale were applied to estimate IQ. The Animated Triangles Task was used to measure implicit ToM, while explicit ToM and social perception were measured by The Awareness and Social Inference Test (TASIT). RESULTS: Patients with schizophrenia had deficits in implicit ToM and complex social perception compared to their matched controls, but no problems with explicit ToM. Surprisingly, patients with ASD solely had deficits with regard to complex social perception compared to their matched controls. The two patient groups were similar regarding estimated IQ, social functioning and years of education, but differed in age and neurocognition. When adjusting the p-values for age and neurocognitive deficits, both patients groups had similar social cognitive deficits. CONCLUSIONS: Results imply that we compared schizophrenia patients with substantial neurocognitive deficits to a group of high-functioning patients with ASD. However, these two subgroups may have the same level of social cognitive deficits.
