Pubmed du 21/09/19

samedi 21 septembre 2019

1. Charbonneau G, Bertone A, Veronneau M, Girard S, Pelland M, Mottron L, Lepore F, Collignon O. Within- and Cross-Modal Integration and Attention in the Autism Spectrum. J Autism Dev Disord ;2019 (Sep 19)

Although impairment in sensory integration is suggested in the autism spectrum (AS), empirical evidences remain equivocal. We assessed the integration of low-level visual and tactile information within and across modalities in AS and typically developing (TD) individuals. TD individuals demonstrated increased redundancy gain for cross-modal relative to double tactile or visual stimulation, while AS individuals showed similar redundancy gain between cross-modal and double tactile conditions. We further observed that violation of the race model inequality for cross-modal conditions was observed over a wider proportion of the reaction times distribution in TD than AS individuals. Importantly, the reduced cross-modal integration in AS individuals was not related to atypical attentional shift between modalities. We conclude that AS individuals displays selective decrease of cross-modal integration of low-level information.

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2. de Castro Paiva GC, de Souza Costa D, Malloy-Diniz LF, Marques de Miranda D, Jardim de Paula J. Temporal Reward Discounting in Children with Attention Deficit/Hyperactivity Disorder (ADHD), and Children with Autism Spectrum Disorder (ASD) : A Systematic Review. Dev Neuropsychol ;2019 (Sep 20):1-13.

Children with ADHD and ASD may present differences in the affective-motivational processes. We systematically review the literature regarding temporal discounting in children up to 12 years with ADHD and ASD. Six articles were included, five studies with ADHD children (n = 231), one with ASD children (n = 21), all including typically developing children as controls (n = 210). Five studies (four with ADHD and one with ASD) found greater temporal reward discounting for clinical groups. Occurrence of ADHD appears to rush even more the decision-making process at this stage of development, but there is still a lack in the literature, especially evaluating individuals with ASD.

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3. Halayem S, Ben Amor A, Touati M, Belhaj A, Gouider R, Mrad R, Bouden A. Contributions of autism evaluation unit in the clinical diagnosis of autism spectrum disorders. Tunis Med ;2019 (Feb) ;97(2):352-359.

BACKGROUND : Based on the recognized principles of assessment of autistic disorders, the child and adolescent psychiatry department in Razi Hospital developed, in coordination with the department of neurology of Razi Hospital and the department of genetics of Charles Nicolle’s Hospital an assessment unit for autism spectrum disorders. OBJECTIVE : To describe the clinical characteristics in terms of severity and comorbidities of children assessed for autism spectrum disorders. METHODS : We compiled data about clinical examination of autistic symptoms using the Autism Diagnostic Interview Revised (ADI-R) and the Childhood autism Rating Scale (CARS). Each child developmental age was determined using the Psycho Educative Profile (PEP-R). Neurological examination completed with electroencephalography and genetics testing (caryoptype and X fragile) were performed. RESULTS : Fifty-two children were included in our study. The mean age was 6.6 years with a sex ratio of 6.5. The severity of the clinical presentations was assessed through the following score means : CARS 35, ADI-B : 20, ADI-C : 13, ADI-D : 7, functional developmental age : 2.4 years. Comorbidity with epilepsy was present in 7% of cases and an intellectual disability was found in 80% of them. Genetic tests were normal. CONCLUSION : Our results will be discussed in the light of international recommendations.

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4. Saroukhani S, Samms-Vaughan M, Lee M, Bach MA, Bressler J, Hessabi M, Grove ML, Shakespeare-Pellington S, Loveland KA, Rahbar MH. Perinatal Factors Associated with Autism Spectrum Disorder in Jamaican Children. J Autism Dev Disord ;2019 (Sep 19)

Mode of delivery, preterm birth, and low birth weight (LBW) are hypothesized to be associated with autism spectrum disorder (ASD) in the offspring. Using data from 343 ASD cases (2-8 years) and their age- and sex-matched typically developing controls in Jamaica we investigated these hypotheses. Our statistical analyses revealed that the parish of residence could modify the association between cesarean delivery and ASD, with a difference found in this relationship in Kingston parish [matched odds ratio (MOR) (95% confidence interval (CI)) 2.30 (1.17-4.53)] and other parishes [MOR (95% CI) 0.87 (0.48-1.59)]. Although the associations of LBW and preterm birth with ASD were not significant, we observed a significant interaction between LBW and the household socioeconomic status. These findings require replication.

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5. Toscano R, Baillie AJ, Lyneham HJ, Kelly A, Kidd T, Hudson JL. Assessment of anxiety in children and adolescents : A comparative study on the validity and reliability of the Spence Children’s Anxiety Scale in children and adolescents with anxiety and Autism Spectrum Disorder. J Affect Disord ;2019 (Sep 10) ;260:569-576.

OBJECTIVE : The present study assessed the utility of the Spence Children’s Anxiety Scale - Parent Form (SCAS-P) across parents of children with (i) anxiety and (ii) Autism Spectrum Disorder (ASD). METHOD : Parents of children aged 7-18 years with anxiety or ASD completed the SCAS-P. Multiple indicator multiple cause (MIMIC) structural equation modelling was utilized to analyse the data. RESULTS : Analysis revealed different factor structures between the Anxious and ASD groups and evidence for measurement variance across groups in some parts of the SCAS-P. CONCLUSION : Results on the SCAS-P in children with ASD need to be interpreted with caution. Some SCAS-P items cannot be interpreted in the same way in an ASD population compared to neurotypical children with anxiety.

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