59 recherche sur le mot-clé 'early detection'

Early Detection, Diagnosis and Intervention Services for Young Children with Autism Spectrum Disorder in the European Union (ASDEU): Family and Professional Perspectives / Álvaro BEJARANO-MARTÍN in Journal of Autism and Developmental Disorders, 50-9 (September 2020)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 50-9 (September 2020) . - p.3380-3394 Titre : Early Detection, Diagnosis and Intervention Services for Young Children with Autism Spectrum Disorder in the European Union (ASDEU): Family and Professional Perspectives Type de document : texte imprimé Auteurs : Álvaro BEJARANO-MARTÍN, Auteur ; Ricardo CANAL-BEDIA, Auteur ; María MAGÁN-MAGANTO, Auteur ; Clara FERNÁNDEZ-ÁLVAREZ, Auteur ; María Victoria CILLEROS-MARTÍN, Auteur ; María Cruz SÁNCHEZ-GÓMEZ, Auteur ; Patricia GARCÍA PRIMO, Auteur ; Mary ROSE-SWEENEY, Auteur ; Andrew Martin BOILSON, Auteur ; Renata LINERTOVÁ, Auteur ; Herbert ROEYERS, Auteur ; Sara VAN DER PAELT, Auteur ; Diana SCHENDEL, Auteur ; Christine WARBERG, Auteur ; Susanne CRAMER, Auteur ; Antonio NARZISI, Auteur ; Filippo MURATORI, Auteur ; Maria Luisa SCATTONI, Auteur ; Irma MOILANEN, Auteur ; Anneli YLIHERVA, Auteur ; Evald SAEMUNDSEN, Auteur ; Sigríður LOA JÓNSDÓTTIR, Auteur ; Magdalena EFRIM-BUDISTEANU, Auteur ; Aurora ARGHIR, Auteur ; Sorina Mihaela PAPUC, Auteur ; Astrid VICENTE, Auteur ; Célia RASGA, Auteur ; Bernadette ROGE, Auteur ; Quentin GUILLON, Auteur ; Sophie BADUEL, Auteur ; Johanna Xenia KAFKA, Auteur ; Luise POUSTKA, Auteur ; Oswald D. KOTHGASSNER, Auteur ; Rafal KAWA, Auteur ; Ewa PISULA, Auteur ; Tracey SELLERS, Auteur ; Manuel POSADA-DE LA PAZ, Auteur Article en page(s) : p.3380-3394 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Diagnosis  Early detection  Mental health services  Patient satisfaction  Survey Index. décimale : PER Périodiques Résumé : Early services for ASD need to canvas the opinions of both parents and professionals. These opinions are seldom compared in the same research study. This study aims to ascertain the views of families and professionals on early detection, diagnosis and intervention services for young children with ASD. An online survey compiled and analysed data from 2032 respondents across 14 European countries (60.9% were parents; 39.1% professionals). Using an ordinal scale from 1 to 7, parents' opinions were more negative (mean = 4.6; SD 2.2) compared to those of professionals (mean = 4.9; SD 1.5) when reporting satisfaction with services. The results suggest services should take into account child's age, delays in accessing services, and active stakeholders' participation when looking to improve services. En ligne : http://dx.doi.org/10.1007/s10803-019-04253-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=430 [article] Early Detection, Diagnosis and Intervention Services for Young Children with Autism Spectrum Disorder in the European Union (ASDEU): Family and Professional Perspectives [texte imprimé] / Álvaro BEJARANO-MARTÍN, Auteur ; Ricardo CANAL-BEDIA, Auteur ; María MAGÁN-MAGANTO, Auteur ; Clara FERNÁNDEZ-ÁLVAREZ, Auteur ; María Victoria CILLEROS-MARTÍN, Auteur ; María Cruz SÁNCHEZ-GÓMEZ, Auteur ; Patricia GARCÍA PRIMO, Auteur ; Mary ROSE-SWEENEY, Auteur ; Andrew Martin BOILSON, Auteur ; Renata LINERTOVÁ, Auteur ; Herbert ROEYERS, Auteur ; Sara VAN DER PAELT, Auteur ; Diana SCHENDEL, Auteur ; Christine WARBERG, Auteur ; Susanne CRAMER, Auteur ; Antonio NARZISI, Auteur ; Filippo MURATORI, Auteur ; Maria Luisa SCATTONI, Auteur ; Irma MOILANEN, Auteur ; Anneli YLIHERVA, Auteur ; Evald SAEMUNDSEN, Auteur ; Sigríður LOA JÓNSDÓTTIR, Auteur ; Magdalena EFRIM-BUDISTEANU, Auteur ; Aurora ARGHIR, Auteur ; Sorina Mihaela PAPUC, Auteur ; Astrid VICENTE, Auteur ; Célia RASGA, Auteur ; Bernadette ROGE, Auteur ; Quentin GUILLON, Auteur ; Sophie BADUEL, Auteur ; Johanna Xenia KAFKA, Auteur ; Luise POUSTKA, Auteur ; Oswald D. KOTHGASSNER, Auteur ; Rafal KAWA, Auteur ; Ewa PISULA, Auteur ; Tracey SELLERS, Auteur ; Manuel POSADA-DE LA PAZ, Auteur . - p.3380-3394. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 50-9 (September 2020) . - p.3380-3394 Mots-clés : Autism spectrum disorder  Diagnosis  Early detection  Mental health services  Patient satisfaction  Survey Index. décimale : PER Périodiques Résumé : Early services for ASD need to canvas the opinions of both parents and professionals. These opinions are seldom compared in the same research study. This study aims to ascertain the views of families and professionals on early detection, diagnosis and intervention services for young children with ASD. An online survey compiled and analysed data from 2032 respondents across 14 European countries (60.9% were parents; 39.1% professionals). Using an ordinal scale from 1 to 7, parents' opinions were more negative (mean = 4.6; SD 2.2) compared to those of professionals (mean = 4.9; SD 1.5) when reporting satisfaction with services. The results suggest services should take into account child's age, delays in accessing services, and active stakeholders' participation when looking to improve services. En ligne : http://dx.doi.org/10.1007/s10803-019-04253-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=430

Early detection for better outcomes: Universal developmental surveillance for autism across health and early childhood education settings / Beth MOZOLIC-STAUNTON in Research in Autism Spectrum Disorders, 71 (March 2020)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 71 (March 2020) . - p.101496 Titre : Early detection for better outcomes: Universal developmental surveillance for autism across health and early childhood education settings Type de document : texte imprimé Auteurs : Beth MOZOLIC-STAUNTON, Auteur ; Michelle DONELLY, Auteur ; Jacqui YOXALL, Auteur ; Josephine BARBARO, Auteur Article en page(s) : p.101496 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Early detection  Early identification  Early childhood education  Screening  Developmental surveillance  Universal  Community-based Index. décimale : PER Périodiques Résumé : Access to appropriate early intervention is dependent on timely and accurate identification of children who display early signs of developmental challenges, yet up to 22 % of Australian children have developmental issues that are undetected prior to school. Developmental surveillance using the Social Attention Communication Surveillance- Revised (SACS-R) and the Parents Evaluation of Developmental Status (PEDS) tools was implemented prospectively with a large, diverse sample in community-health and early education settings. Outcomes were investigated to compare the discriminative validity and agreement of the SACS-R and PEDS tools in the early identification of children with Autism Spectrum Disorder (ASD). Results indicate there is a significant difference in the sensitivity and rates of agreement between PEDS and SACS-R in the early identification of ASD across both settings, with SACS-R accurately identifying substantially more children with ASD. Development of policy within health and education sectors that supports implementation of robust, universal developmental surveillance can potentially improve outcomes for children at higher likelihood for ASD. En ligne : https://doi.org/10.1016/j.rasd.2019.101496 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=416 [article] Early detection for better outcomes: Universal developmental surveillance for autism across health and early childhood education settings [texte imprimé] / Beth MOZOLIC-STAUNTON, Auteur ; Michelle DONELLY, Auteur ; Jacqui YOXALL, Auteur ; Josephine BARBARO, Auteur . - p.101496. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 71 (March 2020) . - p.101496 Mots-clés : Autism spectrum disorder  Early detection  Early identification  Early childhood education  Screening  Developmental surveillance  Universal  Community-based Index. décimale : PER Périodiques Résumé : Access to appropriate early intervention is dependent on timely and accurate identification of children who display early signs of developmental challenges, yet up to 22 % of Australian children have developmental issues that are undetected prior to school. Developmental surveillance using the Social Attention Communication Surveillance- Revised (SACS-R) and the Parents Evaluation of Developmental Status (PEDS) tools was implemented prospectively with a large, diverse sample in community-health and early education settings. Outcomes were investigated to compare the discriminative validity and agreement of the SACS-R and PEDS tools in the early identification of children with Autism Spectrum Disorder (ASD). Results indicate there is a significant difference in the sensitivity and rates of agreement between PEDS and SACS-R in the early identification of ASD across both settings, with SACS-R accurately identifying substantially more children with ASD. Development of policy within health and education sectors that supports implementation of robust, universal developmental surveillance can potentially improve outcomes for children at higher likelihood for ASD. En ligne : https://doi.org/10.1016/j.rasd.2019.101496 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=416

Early detection of young children at risk of autism spectrum disorder at well-baby clinics in the Netherlands: Perspectives of preventive care physicians / Michelle I.J. SNIJDER in Autism, 25-7 (October 2021)  

Public ISBD [article]  inAutism > 25-7 (October 2021) . - p.2012-2024 Titre : Early detection of young children at risk of autism spectrum disorder at well-baby clinics in the Netherlands: Perspectives of preventive care physicians Type de document : texte imprimé Auteurs : Michelle I.J. SNIJDER, Auteur ; Shireen P.T. KAIJADOE, Auteur ; Maarten VAN 'T HOF, Auteur ; Wietske A. ESTER, Auteur ; Jan K. BUITELAAR, Auteur ; Iris J. OOSTERLING, Auteur Article en page(s) : p.2012-2024 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Child  Child, Preschool  Early Diagnosis  Humans  Infant  Mass Screening  Netherlands  Physicians  autism spectrum disorder  early detection  guideline adherence  preventive care  screening Index. décimale : PER Périodiques Résumé : To improve early detection of autism spectrum disorder in preventive care, a Dutch guideline was developed 5 years ago. The guideline provides preventive care physicians at well-baby clinics action-oriented advice and describes a step-by-step approach for children identified at an increased risk for autism spectrum disorder during general healthcare surveillance. The present qualitative study evaluated adherence to the guideline and studied barriers regarding early detection of autism spectrum disorder at well-baby clinics. Interviews were undertaken with 12 preventive care physicians (one representative per province). It was found that the vast majority of participants did not follow-up general surveillance with an autism spectrum disorder -specific screener as prescribed by the guideline. Six barriers (limited knowledge about autism spectrum disorder symptoms in infant and toddlerhood, professional attitude toward early detection, problems in discussing initial worries with parents, limited use of screening instruments, perceptions toward cultural and language differences and constraints regarding availability of healthcare services) were found. The results of this study highlight the importance of an integrative approach, raising awareness of the benefits regarding early detection of autism spectrum disorder in preventive care, the need of continuous investment in easy and accessible training and active screening, and a closer collaboration between preventive care organizations and autism spectrum disorder experts. En ligne : http://dx.doi.org/10.1177/13623613211009345 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=451 [article] Early detection of young children at risk of autism spectrum disorder at well-baby clinics in the Netherlands: Perspectives of preventive care physicians [texte imprimé] / Michelle I.J. SNIJDER, Auteur ; Shireen P.T. KAIJADOE, Auteur ; Maarten VAN 'T HOF, Auteur ; Wietske A. ESTER, Auteur ; Jan K. BUITELAAR, Auteur ; Iris J. OOSTERLING, Auteur . - p.2012-2024. Langues : Anglais (eng) in Autism > 25-7 (October 2021) . - p.2012-2024 Mots-clés : Autism Spectrum Disorder/diagnosis  Child  Child, Preschool  Early Diagnosis  Humans  Infant  Mass Screening  Netherlands  Physicians  autism spectrum disorder  early detection  guideline adherence  preventive care  screening Index. décimale : PER Périodiques Résumé : To improve early detection of autism spectrum disorder in preventive care, a Dutch guideline was developed 5 years ago. The guideline provides preventive care physicians at well-baby clinics action-oriented advice and describes a step-by-step approach for children identified at an increased risk for autism spectrum disorder during general healthcare surveillance. The present qualitative study evaluated adherence to the guideline and studied barriers regarding early detection of autism spectrum disorder at well-baby clinics. Interviews were undertaken with 12 preventive care physicians (one representative per province). It was found that the vast majority of participants did not follow-up general surveillance with an autism spectrum disorder -specific screener as prescribed by the guideline. Six barriers (limited knowledge about autism spectrum disorder symptoms in infant and toddlerhood, professional attitude toward early detection, problems in discussing initial worries with parents, limited use of screening instruments, perceptions toward cultural and language differences and constraints regarding availability of healthcare services) were found. The results of this study highlight the importance of an integrative approach, raising awareness of the benefits regarding early detection of autism spectrum disorder in preventive care, the need of continuous investment in easy and accessible training and active screening, and a closer collaboration between preventive care organizations and autism spectrum disorder experts. En ligne : http://dx.doi.org/10.1177/13623613211009345 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=451

Early detection of young children at risk of autism spectrum disorder at well-baby clinics in the Netherlands: Perspectives of preventive care physicians / Michelle I.J. SNIJDER in Autism, 26-7 (October 2022)  

Public ISBD [article]  inAutism > 26-7 (October 2022) . - p.2012-2024 Titre : Early detection of young children at risk of autism spectrum disorder at well-baby clinics in the Netherlands: Perspectives of preventive care physicians Type de document : texte imprimé Auteurs : Michelle I.J. SNIJDER, Auteur ; Shireen P.T. KAIJADOE, Auteur ; Maarten VAN 'T HOF, Auteur ; Wietske A. ESTER, Auteur ; Jan K. BUITELAAR, Auteur ; Iris J. OOSTERLING, Auteur Article en page(s) : p.2012-2024 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Child  Child, Preschool  Early Diagnosis  Humans  Infant  Mass Screening  Netherlands  Physicians  autism spectrum disorder  early detection  guideline adherence  preventive care  screening Index. décimale : PER Périodiques Résumé : To improve early detection of autism spectrum disorder in preventive care, a Dutch guideline was developed 5years ago. The guideline provides preventive care physicians at well-baby clinics action-oriented advice and describes a step-by-step approach for children identified at an increased risk for autism spectrum disorder during general healthcare surveillance. The present qualitative study evaluated adherence to the guideline and studied barriers regarding early detection of autism spectrum disorder at well-baby clinics. Interviews were undertaken with 12 preventive care physicians (one representative per province). It was found that the vast majority of participants did not follow-up general surveillance with an autism spectrum disorder -specific screener as prescribed by the guideline. Six barriers (limited knowledge about autism spectrum disorder symptoms in infant and toddlerhood, professional attitude toward early detection, problems in discussing initial worries with parents, limited use of screening instruments, perceptions toward cultural and language differences and constraints regarding availability of healthcare services) were found. The results of this study highlight the importance of an integrative approach, raising awareness of the benefits regarding early detection of autism spectrum disorder in preventive care, the need of continuous investment in easy and accessible training and active screening, and a closer collaboration between preventive care organizations and autism spectrum disorder experts. En ligne : http://dx.doi.org/10.1177/13623613211009345 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=484 [article] Early detection of young children at risk of autism spectrum disorder at well-baby clinics in the Netherlands: Perspectives of preventive care physicians [texte imprimé] / Michelle I.J. SNIJDER, Auteur ; Shireen P.T. KAIJADOE, Auteur ; Maarten VAN 'T HOF, Auteur ; Wietske A. ESTER, Auteur ; Jan K. BUITELAAR, Auteur ; Iris J. OOSTERLING, Auteur . - p.2012-2024. Langues : Anglais (eng) in Autism > 26-7 (October 2022) . - p.2012-2024 Mots-clés : Autism Spectrum Disorder/diagnosis  Child  Child, Preschool  Early Diagnosis  Humans  Infant  Mass Screening  Netherlands  Physicians  autism spectrum disorder  early detection  guideline adherence  preventive care  screening Index. décimale : PER Périodiques Résumé : To improve early detection of autism spectrum disorder in preventive care, a Dutch guideline was developed 5years ago. The guideline provides preventive care physicians at well-baby clinics action-oriented advice and describes a step-by-step approach for children identified at an increased risk for autism spectrum disorder during general healthcare surveillance. The present qualitative study evaluated adherence to the guideline and studied barriers regarding early detection of autism spectrum disorder at well-baby clinics. Interviews were undertaken with 12 preventive care physicians (one representative per province). It was found that the vast majority of participants did not follow-up general surveillance with an autism spectrum disorder -specific screener as prescribed by the guideline. Six barriers (limited knowledge about autism spectrum disorder symptoms in infant and toddlerhood, professional attitude toward early detection, problems in discussing initial worries with parents, limited use of screening instruments, perceptions toward cultural and language differences and constraints regarding availability of healthcare services) were found. The results of this study highlight the importance of an integrative approach, raising awareness of the benefits regarding early detection of autism spectrum disorder in preventive care, the need of continuous investment in easy and accessible training and active screening, and a closer collaboration between preventive care organizations and autism spectrum disorder experts. En ligne : http://dx.doi.org/10.1177/13623613211009345 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=484

Artificial Intelligence Methods in Early Detection of Autism Spectrum Disorder: A DSM-5 Criterion-Based Systematic Review / Mohamed Ali ZOROMBA in Autism Research, 19-7 (July 2026)  

Public ISBD [article]  inAutism Research > 19-7 (July 2026) . - p.e70279 Titre : Artificial Intelligence Methods in Early Detection of Autism Spectrum Disorder: A DSM-5 Criterion-Based Systematic Review Type de document : texte imprimé Auteurs : Mohamed Ali ZOROMBA, Auteur ; Heba Emad EL-GAZAR, Auteur Article en page(s) : p.e70279 Langues : Anglais (eng) Mots-clés : artificial intelligence  autism Spectrum disorder  children  deep learning  DSM-5 criteria  early detection  machine learning Index. décimale : PER Périodiques Résumé : ABSTRACT Can Artificial Intelligence (AI) revolutionize early detection of Autism Spectrum Disorder (ASD) by offering a more objective alternative to the subjective behavioral assessments? This systematic review evaluates AI-based methods for early ASD detection in children, assessing the distribution, performance, and DSM-5 alignment of AI techniques, and the methodological quality of existing studies. Following PRISMA guidelines, seven databases (PubMed, Web of Science, Scopus, IEEE Xplore, PsycNET, CINAHL, and Cochrane Library) were searched from January 2015 to March 2025; no backward or forward citation tracking was conducted. Studies were included if they focused on pediatric populations (ages 0?18) with clinically diagnosed ASD, employed AI detection/classification methods, utilized observable behavioral data, and reported diagnostic performance metrics. Studies using exclusively neurobiological data, adult populations, non-English publications, or lacking clear diagnostic reference standards were excluded. Two reviewers independently screened 1018 records; 43 met inclusion criteria. Methodological quality was assessed using QUADAS-2, adapted for machine learning considerations. Classical Machine Learning (34%), Deep Learning (34%), and Hybrid approaches (32%) were equally prevalent. Convolutional Neural Networks and Support Vector Machines dominated for unstructured and structured data, respectively. Most studies (74%) targeted both DSM-5 Criteria A and B; 23% focused solely on Criterion A. Direct DSM-5 alignment correlated with higher accuracy (median ~95%); overall accuracy ranged from 68.18% to 100%. Methodological concerns included 57% unclear patient selection and 43% unclear index test risk. AI demonstrates transformative potential for early ASD detection, particularly for social communication deficits. Gaps in Criterion B coverage, geographic skew toward high-income settings, and methodological inconsistencies limit clinical applicability. Future work should prioritize standardized protocols, multimodal integration, and diverse external validation. Trial Registration: PROSPERO registration ID: CRD420250656126 En ligne : https://doi.org/10.1002/aur.70279 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=589 [article] Artificial Intelligence Methods in Early Detection of Autism Spectrum Disorder: A DSM-5 Criterion-Based Systematic Review [texte imprimé] / Mohamed Ali ZOROMBA, Auteur ; Heba Emad EL-GAZAR, Auteur . - p.e70279. Langues : Anglais (eng) in Autism Research > 19-7 (July 2026) . - p.e70279 Mots-clés : artificial intelligence  autism Spectrum disorder  children  deep learning  DSM-5 criteria  early detection  machine learning Index. décimale : PER Périodiques Résumé : ABSTRACT Can Artificial Intelligence (AI) revolutionize early detection of Autism Spectrum Disorder (ASD) by offering a more objective alternative to the subjective behavioral assessments? This systematic review evaluates AI-based methods for early ASD detection in children, assessing the distribution, performance, and DSM-5 alignment of AI techniques, and the methodological quality of existing studies. Following PRISMA guidelines, seven databases (PubMed, Web of Science, Scopus, IEEE Xplore, PsycNET, CINAHL, and Cochrane Library) were searched from January 2015 to March 2025; no backward or forward citation tracking was conducted. Studies were included if they focused on pediatric populations (ages 0?18) with clinically diagnosed ASD, employed AI detection/classification methods, utilized observable behavioral data, and reported diagnostic performance metrics. Studies using exclusively neurobiological data, adult populations, non-English publications, or lacking clear diagnostic reference standards were excluded. Two reviewers independently screened 1018 records; 43 met inclusion criteria. Methodological quality was assessed using QUADAS-2, adapted for machine learning considerations. Classical Machine Learning (34%), Deep Learning (34%), and Hybrid approaches (32%) were equally prevalent. Convolutional Neural Networks and Support Vector Machines dominated for unstructured and structured data, respectively. Most studies (74%) targeted both DSM-5 Criteria A and B; 23% focused solely on Criterion A. Direct DSM-5 alignment correlated with higher accuracy (median ~95%); overall accuracy ranged from 68.18% to 100%. Methodological concerns included 57% unclear patient selection and 43% unclear index test risk. AI demonstrates transformative potential for early ASD detection, particularly for social communication deficits. Gaps in Criterion B coverage, geographic skew toward high-income settings, and methodological inconsistencies limit clinical applicability. Future work should prioritize standardized protocols, multimodal integration, and diverse external validation. Trial Registration: PROSPERO registration ID: CRD420250656126 En ligne : https://doi.org/10.1002/aur.70279 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=589

Editorial: Early detection of mental health and neurodevelopmental disorders: the ethical challenges of a field in its infancy / Sally OZONOFF in Journal of Child Psychology and Psychiatry, 56-9 (September 2015)  

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Implementing an early detection program for autism in primary healthcare: Screening, education of healthcare professionals, referrals for diagnostic evaluation, and early intervention / Sigrídur Lóa JONSDOTTIR in Research in Autism Spectrum Disorders, 77 (September 2020)  

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Sustainability of an early detection program for autism spectrum disorder over the course of 8 years / Mirjam K.J. PIJL in Autism, 22-8 (November 2018)  

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Utilizing two-tiered screening for early detection of autism spectrum disorder / Meena KHOWAJA in Autism, 22-7 (October 2018)  

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Determinants of satisfaction with the detection process of autism in Europe: Results from the ASDEU study / Quentin GUILLON in Autism, 26-8 (November 2022)  

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