1. Codd A, Burford B, Petruso G, Davidson N, Vance G. {{Development and evaluation of a digistory about autistic spectrum disorder – a pilot study}}. {Education for primary care : an official publication of the Association of Course Organisers, National Association of GP Tutors, World Organisation of Family Doctors}. 2018: 1-5.
BACKGROUND: Digital storytelling (‘digistories’) offers a way of sharing the personal impact of a condition, if students have limited direct contact. Autistic spectrum disorder (ASD) exemplifies a common condition, where there is need to improve practise in primary care. Hence, we chose this condition to develop and evaluate a digistory. We considered stigmatising attitudes to ASD and wider educational effects. METHODS: In the digistory, a mother of a boy with severe ASD describes her autobiographical experiences, illustrated by customised cartoons. Participants completed, pre-post, a validated attitude questionnaire and word association exercise. Views on educational value were gathered through free text and focus group. RESULTS: Questionnaire scores indicated positive attitudes, with no significant change. In contrast, content analysis of word association responses showed prevalent negative associations. Thematic analysis identified increased empathy of students with the family, enabled by the resource design. The digistory helped students challenge stereotypes associated with the condition and encouraged greater confidence to engage in future clinical encounters. CONCLUSION: The digistory is an accessible and authentic patient analogue that gives additional insight into living with autistic spectrum disorder, with potential benefits for patient-centred learning.
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2. Dass TK, Kisamore AN, Vladescu JC, Reeve KF, Reeve SA, Taylor-Santa C. {{Teaching children with autism spectrum disorder to tact olfactory stimuli}}. {Journal of applied behavior analysis}. 2018.
Research on tact acquisition by children with autism spectrum disorder (ASD) has often focused on teaching participants to tact visual stimuli. It is important to evaluate procedures for teaching tacts of nonvisual stimuli (e.g., olfactory, tactile). The purpose of the current study was to extend the literature on secondary target instruction and tact training by evaluating the effects of a discrete-trial instruction procedure involving (a) echoic prompts, a constant prompt delay, and error correction for primary targets; (b) inclusion of secondary target stimuli in the consequent portion of learning trials; and (c) multiple exemplar training on the acquisition of item tacts of olfactory stimuli, emergence of category tacts of olfactory stimuli, generalization of category tacts, and emergence of category matching, with three children diagnosed with ASD. Results showed that all participants learned the item and category tacts following teaching, participants demonstrated generalization across category tacts, and category matching emerged for all participants.
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3. Li C, Shen K, Chu L, Liu P, Song Y, Kang X. {{Decreased levels of urinary free amino acids in children with autism spectrum disorder}}. {Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia}. 2018.
Autism spectrum disorder (ASD) is a range of neurodevelopmental problems without certain causes. Conventional diagnostic or screening tools for ASD rely on the observation of children’s behavioral presentations. Novel methods are focused on the alterations of some important biochemical matters in ASD patients, which are applicable in the screening for ASD. This study investigated and compared amino acids in the first morning urine from age and sex matched ASD and non-ASD children using high performance liquid chromatography. Significantly lower urinary free methionine, phenylalanine, valine, tryptophan, and leucine plus isoleucine were observed in ASD children. The effects of using urinary free amino acids (UFAAs) singly or conjointly to classify participants into ASD or control group were analyzed and compared. ROC curves on these UFAAs singly in classification performed the sensitivity of 0.593-0.889 and the specificity of 0.704-0.963. Binary-logistic regression analysis of these UFAAs obtained a final regression model comprised of urinary free valine and tryptophan. The ROC curve established by the linear combination of the two amino acids achieved a sensitivity of 0.926 and a specificity of 0.889, which showed superiority to single UFAA and comparability to existing diagnostic or screening tools. It was suggested that the multivariate model based on UFAAs was possibly applicable in screening for children at higher risk of ASD.
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4. Li C, Zhou H, Wang T, Long S, Du X, Xu X, Yan W, Wang Y. {{Performance of the Autism Spectrum Rating Scale and Social Responsiveness Scale in Identifying Autism Spectrum Disorder Among Cases of Intellectual Disability}}. {Neurosci Bull}. 2018.
The Autism Spectrum Rating Scale (ASRS) and the Social Responsiveness Scale (SRS) have been widely used for screening autism spectrum disorder (ASD) in the general population during epidemiological studies, but studies of individuals with intellectual disability (ID) are quite limited. Therefore, we recruited the parents/caregivers of 204 ASD cases, 71 ID cases aged 6-18 years from special education schools, and 402 typically developing (TD) children in the same age span from a community-based population to complete the ASRS and SRS. The results showed that the ID group scored significantly lower on total and subscale scores than the ASD group on both scales (P < 0.05) but higher than TD children (P < 0.05). Receiver operating characteristic analyses demonstrated a similar fair performance in discriminating ASD from ID with the ASRS (area under the curve (AUC) = 0.709, sensitivity = 77.0%, specificity = 52.1%, positive predictive value (PPV) = 82.2%) and the SRS (AUC = 0.742, sensitivity = 59.8%, specificity = 77.5%, PPV = 88.4%). The results showed that individuals with ID had clear autistic traits and discriminating ASD from ID cases was quite challenging, while assessment tools such as ASRS and SRS, help to some degree. Lien vers le texte intégral (Open Access ou abonnement)
5. Soler J, Fananas L, Parellada M, Krebs MO, Rouleau GA, Fatjo-Vilas M. {{Genetic variability in scaffolding proteins and risk for schizophrenia and autism-spectrum disorders: a systematic review}}. {Journal of psychiatry & neuroscience : JPN}. 2018; 43(4): 170066.
Scaffolding proteins represent an evolutionary solution to controlling the specificity of information transfer in intracellular networks. They are highly concentrated in complexes located in specific subcellular locations. One of these complexes is the postsynaptic density of the excitatory synapses. There, scaffolding proteins regulate various processes related to synaptic plasticity, such as glutamate receptor trafficking and signalling, and dendritic structure and function. Most scaffolding proteins can be grouped into 4 main families: discs large (DLG), discs-large-associated protein (DLGAP), Shank and Homer. Owing to the importance of scaffolding proteins in postsynaptic density architecture, it is not surprising that variants in the genes that code for these proteins have been associated with neuropsychiatric diagnoses, including schizophrenia and autism-spectrum disorders. Such evidence, together with the clinical, neurobiological and genetic overlap described between schizophrenia and autism-spectrum disorders, suggest that alteration of scaffolding protein dynamics could be part of the pathophysiology of both. However, despite the potential importance of scaffolding proteins in these psychiatric conditions, no systematic review has integrated the genetic and molecular data from studies conducted in the last decade. This review has the following goals: i) to systematically analyze the literature in which common and/or rare genetic variants (single nucleotide polymorphisms, single nucleotide variants and copy number variants) in the scaffolding family genes are associated with the risk for either schizophrenia or autism-spectrum disorders; ii) to explore the implications of the reported genetic variants for gene expression and/or protein function; and iii) to discuss the relationship of these genetic variants to the shared genetic, clinical and cognitive traits of schizophrenia and autism-spectrum disorders.