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  • 1
    In: Early Childhood Research Quarterly, Elsevier BV, Vol. 51 ( 2020-32), p. 430-445
    Type of Medium: Online Resource
    ISSN: 0885-2006
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 2021633-6
    SSG: 5,2
    SSG: 5,3
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  • 2
    In: Journal of Autism and Developmental Disorders, Springer Science and Business Media LLC, Vol. 50, No. 9 ( 2020-09), p. 3380-3394
    Type of Medium: Online Resource
    ISSN: 0162-3257 , 1573-3432
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 391999-7
    detail.hit.zdb_id: 2016724-6
    SSG: 5,2
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  • 3
    In: Frontiers in Psychiatry, Frontiers Media SA, Vol. 13 ( 2022-6-10)
    Abstract: There is very little knowledge regarding autistic adult services, practices, and delivery. The study objective was to improve understanding of current services and practices for autistic adults and opportunities for improvement as part of the Autism Spectrum Disorder in the European Union (ASDEU) project. Separate survey versions were created for autistic adults, carers of autistic adults, and professionals in adult services. 2,009 persons responded to the survey and 1,085 (54%) of them completed at least one of the services sections: 469 autistic adults (65% female; 55% & lt; 35 years old), 441 carers of autistic adults (27% female; 6% & lt; 35 years old), 175 professionals in adult services (76% female; 67% in non-medical services). Top choices by autistic adults, carers or professionals for services best suiting their current needs were: residential services: “help in own home” (adults, carers of high independent adults, professionals), “fulltime residential facility” (carers of low independent adults); employment services: “job mentors” (adults, carers of high independent adults, professionals), “Sheltered employment” (carers of low independent adults); education services: “support in regular education setting” (all groups); financial services: financial support in lieu of employment (“Supplementary income for persons unable to have full employment” for adults, “full pension” for carers of low independent adults) or to supplement employment earnings for carers of high independent adults and professionals; social services: “behavior training” (adults) and “life skills training” (carers and professionals). Waiting times for specific services were generally & lt; 1 month or 1–3 months, except for residential services which could be up to 6 months; most professionals were uninformed of waiting times ( & gt;50% responded “don’t know”). Five of seven residential services features recommended for autistic adults were experienced by & lt;50% of adults. The knowledge of good local services models that work well for autistic adults was generally low across all services areas. The variation in services experiences and perceptions reported by autistic adults, carers, or professionals underscore the need to query all groups for a complete picture of community services availability and needs. The results showed areas for potential improvement in autistic adult services delivery in the EU to achieve recommended standards.
    Type of Medium: Online Resource
    ISSN: 1664-0640
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2564218-2
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  • 4
    Online Resource
    Online Resource
    ISPA - Instituto Universitario ; 2015
    In:  Análise Psicológica Vol. 33, No. 4 ( 2015-12-04), p. 467-479
    In: Análise Psicológica, ISPA - Instituto Universitario, Vol. 33, No. 4 ( 2015-12-04), p. 467-479
    Abstract: O nosso trabalho propõe explorar a compreensão das crianças de baixo nível socioeconómico acerca das razões que os outros têm para as acções, ou seja, pretendemos explorar o efeito do conhecimento sobre as razões para as acções, aquando de raciocínios contrafactuais e de falsas crenças, ampliando-o ao desenvolvimento das crianças. Trabalhos anteriores mostraram que as pessoas tendem a pensar sobre as acções de forma diferente quando têm conhecimentos sobre as razões para uma acção. Um passo importante para a compreensão das acções de outras pessoas é o raciocínio sobre as suas intenções (Juhos, Quelhas, & Byrne, 2015; Walsh & Byrne, 2007).Crianças de 6 e 8 anos foram testadas com uma nova tarefa: a tarefa de mudanças de intenções, a qual analisou cenários onde um actor tem uma razão inicial (desejo ou obrigação) para uma acção, que é posteriormente alterada. Os resultados mostraram que as crianças de 6 anos cometem mais erros nas inferências de falsas crenças do que nas inferências contrafactuais, uma vez que estas crianças tendem a centrar-se mais nos desejos aquando de inferências de falsas crenças. Estes resultados contribuem para a discussão aberta sobre a relação entre o pensamento contrafactual e a teoria da mente, como também traz alguma luz sobre como as crianças pensam as diferentes razões para as acções.
    Type of Medium: Online Resource
    ISSN: 1646-6020 , 0870-8231
    Language: Unknown
    Publisher: ISPA - Instituto Universitario
    Publication Date: 2015
    detail.hit.zdb_id: 731401-2
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  • 5
    Online Resource
    Online Resource
    Wiley ; 2018
    In:  Cognitive Science Vol. 42, No. 7 ( 2018-09), p. 2205-2228
    In: Cognitive Science, Wiley, Vol. 42, No. 7 ( 2018-09), p. 2205-2228
    Abstract: What is the relation between factual conditionals: If A happened then B happened , and counterfactual conditionals: If A had happened then B would have happened ? Some theorists propose quite different semantics for the two. In contrast, the theory of mental models and its computer implementation interrelates them. It postulates that both can have a priori truth values, and that the semantic bases of both are possibilities: states that are possible for factual conditionals, and that were once possible but that did not happen for counterfactual conditionals. Two experiments supported these relations. Experiment 1 showed that, like factual conditionals, certain counterfactuals are true a priori, and others are false a priori. Experiment 2 replicated this result and showed that participants selected appropriate paraphrases, referring, respectively, to real and to counterfactual possibilities, for the two sorts of conditional. These results are contrary to alternative accounts of conditionals.
    Type of Medium: Online Resource
    ISSN: 0364-0213 , 1551-6709
    URL: Issue
    RVK:
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2018
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    detail.hit.zdb_id: 2002940-8
    SSG: 25
    SSG: 5,2
    SSG: 7,11
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  • 6
    In: Translational Psychiatry, Springer Science and Business Media LLC, Vol. 10, No. 1 ( 2020-01-28)
    Abstract: The complex genetic architecture of Autism Spectrum Disorder (ASD) and its heterogeneous phenotype makes molecular diagnosis and patient prognosis challenging tasks. To establish more precise genotype–phenotype correlations in ASD, we developed a novel machine-learning integrative approach, which seeks to delineate associations between patients’ clinical profiles and disrupted biological processes, inferred from their copy number variants (CNVs) that span brain genes. Clustering analysis of the relevant clinical measures from 2446 ASD cases in the Autism Genome Project identified two distinct phenotypic subgroups. Patients in these clusters differed significantly in ADOS-defined severity, adaptive behavior profiles, intellectual ability, and verbal status, the latter contributing the most for cluster stability and cohesion. Functional enrichment analysis of brain genes disrupted by CNVs in these ASD cases identified 15 statistically significant biological processes, including cell adhesion, neural development, cognition, and polyubiquitination, in line with previous ASD findings. A Naive Bayes classifier, generated to predict the ASD phenotypic clusters from disrupted biological processes, achieved predictions with a high precision (0.82) but low recall (0.39), for a subset of patients with higher biological Information Content scores. This study shows that milder and more severe clinical presentations can have distinct underlying biological mechanisms. It further highlights how machine-learning approaches can reduce clinical heterogeneity by using multidimensional clinical measures, and establishes genotype–phenotype correlations in ASD. However, predictions are strongly dependent on patient’s information content. Findings are therefore a first step toward the translation of genetic information into clinically useful applications, and emphasize the need for larger datasets with very complete clinical and biological information.
    Type of Medium: Online Resource
    ISSN: 2158-3188
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2609311-X
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  • 7
    In: Environmental Research, Elsevier BV, Vol. 228 ( 2023-07), p. 115795-
    Type of Medium: Online Resource
    ISSN: 0013-9351
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 205699-9
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  • 8
    In: Autism, SAGE Publications, Vol. 26, No. 8 ( 2022-11), p. 2136-2150
    Abstract: Satisfaction with the detection process of autism and its determinants was investigated using data from the Autism Spectrum Disorder in the European Union (2015–2018) network. A total of 1342 family members, including 1278 parents, completed an online survey collecting information about their experience and satisfaction with the early detection of autism in their child. Overall, the level of satisfaction varied considerably from one respondent to another. Difficulty in finding information about detection services, lack of professional guidance and support in response to first concerns, finding a diagnostic service on one’s own, and a delay of more than 4 months between the confirmation of concerns and the first appointment with a specialist were all experiences individually associated with greater odds of being less satisfied. Using a dominance analysis approach, we further identified professional guidance and support in response to first concerns as the most important predictor of the level of satisfaction. These findings highlight the aspects of the process that need to be improved to enhance the experience of the detection process and are therefore relevant to guide health administrations toward actions to be implemented to this effect. Lay abstract Professional guidance and support in response to first concerns appears to be an important predictor of the level of satisfaction with the detection process of autism in young children. In this study, we analyzed the views of 1342 family members, including 1278 parents, who completed an online survey form collecting information about their experience and satisfaction with the early detection of autism in their child. Specifically, we were interested in how specific experiences with the detection process relate to the satisfaction with it and whether we could identify important predictors of satisfaction. The detection process is an emotionally charged period for parents, often described as painful, chaotic, and lengthy. A better understanding of their experiences is important to take appropriate action to improve the detection process. In our sample, the level of satisfaction with the detection process varied greatly from one respondent to another. Among the different experiences we considered, whether or not respondents received professional guidance and support in response to first concerns explained most of this variation. We also found that difficulty finding information about detection services, lack of professional guidance and support in response to first concerns, having to find a diagnostic service on one’s own, and longer delays between confirmation of concerns and first appointment with a specialist were experiences associated with a greater likelihood of being unsatisfied. The findings of this study highlight the importance of the parent–professional relationship in the detection process and have important practical implications for health administrations to improve the detection process.
    Type of Medium: Online Resource
    ISSN: 1362-3613 , 1461-7005
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 1338513-6
    detail.hit.zdb_id: 2034686-4
    SSG: 5,2
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  • 9
    In: Expert Systems, Wiley, Vol. 40, No. 5 ( 2023-06)
    Abstract: Personalized medicine is a concept that has been subject of increasing interest in medical research and practice in the last few years. However, significant challenges stand in the way of practical implementations, namely in regard to extracting clinically valuable insights from the vast amount of biomedical knowledge generated in the last few years. Here, we describe an approach that uses Knowledge Graph Embedding (KGE) methods on a biomedical Knowledge Graph (KG) as a path to reasoning over the wealth of information stored in publicly accessible databases. We built a Knowledge Graph using data from DisGeNET and GO, containing relationships between genes, diseases and other biological entities. The KG contains 93,657 nodes of 5 types and 1,705,585 relationships of 59 types. We applied KGE methods to this KG, obtaining an excellent performance in predicting gene‐disease associations (MR 0.13, MRR 0.96, HITS@1 0.93, HITS@3 0.99, and HITS@10 0.99). The optimal hyperparameter set was used to predict all possible novel gene‐disease associations. An in‐depth analysis of novel gene‐disease predictions for disease terms related to Autism Spectrum Disorder (ASD) shows that this approach produces predictions consistent with known candidate genes and biological pathways and yields relevant insights into the biology of this paradigmatic complex disorder.
    Type of Medium: Online Resource
    ISSN: 0266-4720 , 1468-0394
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 283676-2
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  • 10
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Neuroscience Vol. 16 ( 2022-5-19)
    In: Frontiers in Neuroscience, Frontiers Media SA, Vol. 16 ( 2022-5-19)
    Abstract: Heritability estimates support the contribution of genetics and the environment to the etiology of Autism Spectrum Disorder (ASD), but a role for gene-environment interactions is insufficiently explored. Genes involved in detoxification pathways and physiological permeability barriers (e.g., blood-brain barrier, placenta and respiratory airways), which regulate the effects of exposure to xenobiotics during early stages of neurodevelopment when the immature brain is extremely vulnerable, may be particularly relevant in this context. Our objective was to identify genes involved in the regulation of xenobiotic detoxification or the function of physiological barriers (the XenoReg genes) presenting predicted damaging variants in subjects with ASD, and to understand their interaction patterns with ubiquitous xenobiotics previously implicated in this disorder. We defined a panel of 519 XenoReg genes through literature review and database queries. Large ASD datasets were inspected for in silico predicted damaging Single Nucleotide Variants (SNVs) ( N = 2,674 subjects) or Copy Number Variants (CNVs) ( N = 3,570 subjects) in XenoReg genes. We queried the Comparative Toxicogenomics Database (CTD) to identify interaction pairs between XenoReg genes and xenobiotics. The interrogation of ASD datasets for variants in the XenoReg gene panel identified 77 genes with high evidence for a role in ASD, according to pre-specified prioritization criteria. These include 47 genes encoding detoxification enzymes and 30 genes encoding proteins involved in physiological barrier function, among which 15 are previous reported candidates for ASD. The CTD query revealed 397 gene-environment interaction pairs between these XenoReg genes and 80% (48/60) of the analyzed xenobiotics. The top interacting genes and xenobiotics were, respectively, CYP1A2 , ABCB1 , ABCG2 , GSTM1 , and CYP2D6 and benzo-(a)-pyrene, valproic acid, bisphenol A, particulate matter, methylmercury, and perfluorinated compounds. Individuals carrying predicted damaging variants in high evidence XenoReg genes are likely to have less efficient detoxification systems or impaired physiological barriers. They can therefore be particularly susceptible to early life exposure to ubiquitous xenobiotics, which elicit neuropathological mechanisms in the immature brain, such as epigenetic changes, oxidative stress, neuroinflammation, hypoxic damage, and endocrine disruption. As exposure to environmental factors may be mitigated for individuals with risk variants, this work provides new perspectives to personalized prevention and health management policies for ASD.
    Type of Medium: Online Resource
    ISSN: 1662-453X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2411902-7
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