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Zhang, Dajie
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Zhang, Dajie
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Zhang, Dajie
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Zhang, D.
Marschik, Dajie
Marschik, D.
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2022Journal Article [["dc.bibliographiccitation.artnumber","104307"],["dc.bibliographiccitation.journal","Research in Developmental Disabilities"],["dc.bibliographiccitation.volume","129"],["dc.contributor.author","Isensee, Corinna"],["dc.contributor.author","Schmid, Benjamin"],["dc.contributor.author","Marschik, Peter B."],["dc.contributor.author","Zhang, Dajie"],["dc.contributor.author","Poustka, Luise"],["dc.date.accessioned","2022-09-01T09:49:48Z"],["dc.date.available","2022-09-01T09:49:48Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1016/j.ridd.2022.104307"],["dc.identifier.pii","S0891422222001378"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/113534"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-597"],["dc.relation.issn","0891-4222"],["dc.rights.uri","https://www.elsevier.com/tdm/userlicense/1.0/"],["dc.title","Impact of COVID-19 pandemic on families living with autism: An online survey"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2018Journal Article [["dc.bibliographiccitation.firstpage","95"],["dc.bibliographiccitation.journal","Research in Developmental Disabilities"],["dc.bibliographiccitation.lastpage","108"],["dc.bibliographiccitation.volume","82"],["dc.contributor.author","Zhang, Dajie"],["dc.contributor.author","Roche, Laura"],["dc.contributor.author","Bartl-Pokorny, Katrin D."],["dc.contributor.author","Krieber, Magdalena"],["dc.contributor.author","McLay, Laurie"],["dc.contributor.author","Bölte, Sven"],["dc.contributor.author","Poustka, Luise"],["dc.contributor.author","Sigafoos, Jeff"],["dc.contributor.author","Gugatschka, Markus"],["dc.contributor.author","Einspieler, Christa"],["dc.contributor.author","Marschik, Peter B."],["dc.date.accessioned","2020-06-03T07:28:14Z"],["dc.date.available","2020-06-03T07:28:14Z"],["dc.date.issued","2018"],["dc.description.abstract","ackground Responding to one’s own name (RtN) has been reported as atypical in children with developmental disorders, yet comparative studies on RtN across syndromes are rare. Aims We aim to (a) overview the literature on RtN in different developmental disorders during the first 24 months of life, and (b) report comparative data on RtN across syndromes. Methods and procedures In Part 1, a literature search, focusing on RtN in children during the first 24 months of life with developmental disorders, identified 23 relevant studies. In Part 2, RtN was assessed utilizing retrospective video analysis for infants later diagnosed with ASD, RTT, or FXS, and typically developing peers. Outcomes and results Given a variety of methodologies and instruments applied to assess RtN, 21/23 studies identified RtN as atypical in infants with a developmental disorder. We observed four different developmental trajectories of RtN in ASD, RTT, PSV, and FXS from 9 to 24 months of age. Between-group differences became more distinctive with age. Conclusions and implications RtN may be a potential parameter of interest in a comprehensive early detection model characterising age-specific neurofunctional biomarkers associated with specific disorders, and contribute to early identification."],["dc.identifier.doi","10.1016/j.ridd.2018.04.004"],["dc.identifier.pmid","29655507"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/66133"],["dc.language.iso","en"],["dc.relation.issn","0891-4222"],["dc.title","Response to name and its value for the early detection of developmental disorders: Insights from autism spectrum disorder, Rett syndrome, and fragile X syndrome. A perspectives paper"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2021Journal Article [["dc.bibliographiccitation.firstpage","103854"],["dc.bibliographiccitation.journal","Research in Developmental Disabilities"],["dc.bibliographiccitation.volume","110"],["dc.contributor.author","Silva, Nelson"],["dc.contributor.author","Zhang, Dajie"],["dc.contributor.author","Kulvicius, Tomas"],["dc.contributor.author","Gail, Alexander"],["dc.contributor.author","Barreiros, Carla"],["dc.contributor.author","Lindstaedt, Stefanie"],["dc.contributor.author","Kraft, Marc"],["dc.contributor.author","Bölte, Sven"],["dc.contributor.author","Poustka, Luise"],["dc.contributor.author","Nielsen-Saines, Karin"],["dc.contributor.author","Wörgötter, Florentin"],["dc.contributor.author","Einspieler, Christa"],["dc.contributor.author","Marschik, Peter B."],["dc.date.accessioned","2021-04-14T08:28:50Z"],["dc.date.available","2021-04-14T08:28:50Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1016/j.ridd.2021.103854"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82720"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.issn","0891-4222"],["dc.title","The future of General Movement Assessment: The role of computer vision and machine learning – A scoping review"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2017Journal Article [["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Current Neurology and Neuroscience Reports"],["dc.bibliographiccitation.volume","17"],["dc.contributor.author","Marschik, Peter B."],["dc.contributor.author","Pokorny, Florian B."],["dc.contributor.author","Peharz, Robert"],["dc.contributor.author","Zhang, Dajie"],["dc.contributor.author","O'Muircheartaigh, Jonathan"],["dc.contributor.author","Roeyers, Herbert"],["dc.contributor.author","Bölte, Sven"],["dc.contributor.author","Spittle, Alicia J."],["dc.contributor.author","Urlesberger, Berndt"],["dc.contributor.author","Schuller, Björn W."],["dc.contributor.author","Poustka, Luise"],["dc.contributor.author","Ozonoff, Sally"],["dc.contributor.author","Pernkopf, Franz"],["dc.contributor.author","Pock, Thomas"],["dc.contributor.author","Tammimies, Kristiina"],["dc.contributor.author","Enzinger, Christian"],["dc.contributor.author","Krieber, Magdalena"],["dc.contributor.author","Tomantschger, Iris"],["dc.contributor.author","Bartl-Pokorny, Katrin D."],["dc.contributor.author","Sigafoos, Jeff"],["dc.contributor.author","Roche, Laura"],["dc.contributor.author","Esposito, Gianluca"],["dc.contributor.author","Gugatschka, Markus"],["dc.contributor.author","Nielsen-Saines, Karin"],["dc.contributor.author","Einspieler, Christa"],["dc.contributor.author","Kaufmann, Walter E."],["dc.date.accessioned","2017-09-07T11:52:07Z"],["dc.date.accessioned","2020-06-23T06:57:05Z"],["dc.date.available","2017-09-07T11:52:07Z"],["dc.date.available","2020-06-23T06:57:05Z"],["dc.date.issued","2017"],["dc.description.abstract","PURPOSE OF REVIEW: Substantial research exists focusing on the various aspects and domains of early human development. However, there is a clear blind spot in early postnatal development when dealing with neurodevelopmental disorders, especially those that manifest themselves clinically only in late infancy or even in childhood.; RECENT FINDINGS: This early developmental period may represent an important timeframe to study these disorders but has historically received far less research attention. We believe that only a comprehensive interdisciplinary approach will enable us to detect and delineate specific parameters for specific neurodevelopmental disorders at a very early age to improve early detection/diagnosis, enable prospective studies and eventually facilitate randomised trials of early intervention. In this article, we propose a dynamic framework for characterising neurofunctional biomarkers associated with specific disorders in the development of infants and children. We have named this automated detection 'Fingerprint Model', suggesting one possible approach to accurately and early identify neurodevelopmental disorders."],["dc.identifier.doi","10.1007/s11910-017-0748-8"],["dc.identifier.gro","3151185"],["dc.identifier.pmid","28390033"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7961"],["dc.language.iso","en"],["dc.notes.intern","WoS Import 2017-07-25"],["dc.notes.status","final"],["dc.notes.submitter","PUB_WoS_Import"],["dc.relation.eissn","1534-6293"],["dc.relation.issn","1528-4042"],["dc.title","A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2018Journal Article Research Paper [["dc.bibliographiccitation.firstpage","49"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Advances in Neurodevelopmental Disorders"],["dc.bibliographiccitation.lastpage","61"],["dc.bibliographiccitation.volume","2"],["dc.contributor.author","Roche, Laura"],["dc.contributor.author","Zhang, Dajie"],["dc.contributor.author","Bartl-Pokorny, Katrin D."],["dc.contributor.author","Pokorny, Florian B."],["dc.contributor.author","Schuller, Björn W."],["dc.contributor.author","Esposito, Gianluca"],["dc.contributor.author","Bölte, Sven"],["dc.contributor.author","Roeyers, Herbert"],["dc.contributor.author","Poustka, Luise"],["dc.contributor.author","Gugatschka, Markus"],["dc.contributor.author","Waddington, Hannah"],["dc.contributor.author","Vollmann, Ralf"],["dc.contributor.author","Einspieler, Christa"],["dc.contributor.author","Marschik, Peter B."],["dc.date.accessioned","2018-02-22T10:52:33Z"],["dc.date.accessioned","2020-06-03T09:13:15Z"],["dc.date.available","2018-02-22T10:52:33Z"],["dc.date.available","2020-06-03T09:13:15Z"],["dc.date.issued","2018"],["dc.description.abstract","This article provides an overview of studies assessing the early vocalisations of children with autism spectrum disorder (ASD), Rett syndrome (RTT), and fragile X syndrome (FXS) using retrospective video analysis (RVA) during the first 2 years of life. Electronic databases were systematically searched and a total of 23 studies were selected. These studies were then categorised according to whether children were later diagnosed with ASD (13 studies), RTT (8 studies), or FXS (2 studies) and then described in terms of (a) participant characteristics, (b) control group characteristics, (c) video footage, (d) behaviours analysed, and (e) main findings. This overview supports the use of RVA in analysing the early development of vocalisations in children later diagnosed with ASD, RTT, or FXS and provides an in-depth analysis of vocalisation presentation, complex vocalisation production, and the rate and/or frequency of vocalisation production across the three disorders. Implications are discussed in terms of extending crude vocal analyses to more precise methods that might provide more powerful means by which to discriminate between disorders during early development. A greater understanding of the early manifestation of these disorders may then lead to improvements in earlier detection."],["dc.identifier.doi","10.1007/s41252-017-0051-3"],["dc.identifier.pmid","29774230"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/12415"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.eissn","2366-7540"],["dc.relation.issn","2366-7532"],["dc.title","Early Vocal Development in Autism Spectrum Disorder, Rett Syndrome, and Fragile X Syndrome: Insights from Studies using Retrospective Video Analysis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2021Journal Article Research Paper [["dc.bibliographiccitation.artnumber","9888"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Reich, Simon"],["dc.contributor.author","Zhang, Dajie"],["dc.contributor.author","Kulvicius, Tomas"],["dc.contributor.author","Bölte, Sven"],["dc.contributor.author","Nielsen-Saines, Karin"],["dc.contributor.author","Pokorny, Florian B."],["dc.contributor.author","Peharz, Robert"],["dc.contributor.author","Poustka, Luise"],["dc.contributor.author","Wörgötter, Florentin"],["dc.contributor.author","Marschik, Peter B."],["dc.date.accessioned","2021-06-01T10:50:43Z"],["dc.date.available","2021-06-01T10:50:43Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract The past decade has evinced a boom of computer-based approaches to aid movement assessment in early infancy. Increasing interests have been dedicated to develop AI driven approaches to complement the classic Prechtl general movements assessment (GMA). This study proposes a novel machine learning algorithm to detect an age-specific movement pattern, the fidgety movements (FMs), in a prospectively collected sample of typically developing infants. Participants were recorded using a passive, single camera RGB video stream. The dataset of 2800 five-second snippets was annotated by two well-trained and experienced GMA assessors, with excellent inter- and intra-rater reliabilities. Using OpenPose, the infant full pose was recovered from the video stream in the form of a 25-points skeleton. This skeleton was used as input vector for a shallow multilayer neural network (SMNN). An ablation study was performed to justify the network’s architecture and hyperparameters. We show for the first time that the SMNN is sufficient to discriminate fidgety from non-fidgety movements in a sample of age-specific typical movements with a classification accuracy of 88%. The computer-based solutions will complement original GMA to consistently perform accurate and efficient screening and diagnosis that may become universally accessible in daily clinical practice in the future."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.1038/s41598-021-89347-5"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/86760"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","2045-2322"],["dc.rights","CC BY 4.0"],["dc.title","Novel AI driven approach to classify infant motor functions"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2021Journal Article [["dc.bibliographiccitation.firstpage","15"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Kindheit und Entwicklung"],["dc.bibliographiccitation.lastpage","24"],["dc.bibliographiccitation.volume","30"],["dc.contributor.author","Lang, Sigrun"],["dc.contributor.author","Zhang, Dajie"],["dc.contributor.author","Poustka, Luise"],["dc.contributor.author","Bartl-Pokorny, Katrin D."],["dc.contributor.author","Pokorny, Florian B."],["dc.contributor.author","Bölte, Sven"],["dc.contributor.author","Sachse, Steffi"],["dc.contributor.author","Mani, Nivedita"],["dc.contributor.author","Fox-Boyer, Annette V."],["dc.contributor.author","Hartung, Martin"],["dc.contributor.author","Einspieler, Christa"],["dc.contributor.author","Marschik, Peter B."],["dc.date.accessioned","2021-04-14T08:30:20Z"],["dc.date.available","2021-04-14T08:30:20Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1026/0942-5403/a000324"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83192"],["dc.language.iso","de"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","2190-6246"],["dc.relation.issn","0942-5403"],["dc.title","Früherkennung von Entwicklungsstörungen: Kanonisches Lallen (k)ein diagnostischer Marker(!)?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2022Journal Article Research Paper [["dc.bibliographiccitation.firstpage","433"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Infancy"],["dc.bibliographiccitation.lastpage","458"],["dc.bibliographiccitation.volume","27"],["dc.contributor.affiliation","Krieber‐Tomantschger, Magdalena; 1Research Unit iDN – interdisciplinary Developmental Neuroscience Division of Phoniatrics Medical University of Graz Graz Austria"],["dc.contributor.affiliation","Pokorny, Florian B.; 1Research Unit iDN – interdisciplinary Developmental Neuroscience Division of Phoniatrics Medical University of Graz Graz Austria"],["dc.contributor.affiliation","Krieber‐Tomantschger, Iris; 1Research Unit iDN – interdisciplinary Developmental Neuroscience Division of Phoniatrics Medical University of Graz Graz Austria"],["dc.contributor.affiliation","Langmann, Laura; 1Research Unit iDN – interdisciplinary Developmental Neuroscience Division of Phoniatrics Medical University of Graz Graz Austria"],["dc.contributor.affiliation","Poustka, Luise; 2Child and Adolescent Psychiatry and Psychotherapy Georg‐August University Goettingen University Medical Center Goettingen Goettingen Germany"],["dc.contributor.affiliation","Zhang, Dajie; 1Research Unit iDN – interdisciplinary Developmental Neuroscience Division of Phoniatrics Medical University of Graz Graz Austria"],["dc.contributor.affiliation","Treue, Stefan; 3Leibniz‐ScienceCampus Primate Cognition Goettingen Germany"],["dc.contributor.affiliation","Tanzer, Norbert K.; 7Institute of Psychology University of Graz Graz Austria"],["dc.contributor.affiliation","Einspieler, Christa; 1Research Unit iDN – interdisciplinary Developmental Neuroscience Division of Phoniatrics Medical University of Graz Graz Austria"],["dc.contributor.affiliation","Körner, Christof; 9Cognitive Psychology & Neuroscience Institute of Psychology University of Graz Graz Austria"],["dc.contributor.author","Krieber‐Tomantschger, Magdalena"],["dc.contributor.author","Pokorny, Florian B."],["dc.contributor.author","Krieber‐Tomantschger, Iris"],["dc.contributor.author","Langmann, Laura"],["dc.contributor.author","Poustka, Luise"],["dc.contributor.author","Zhang, Dajie"],["dc.contributor.author","Treue, Stefan"],["dc.contributor.author","Tanzer, Norbert K."],["dc.contributor.author","Einspieler, Christa"],["dc.contributor.author","Marschik, Peter B."],["dc.contributor.author","Körner, Christof"],["dc.date.accessioned","2022-02-01T10:31:26Z"],["dc.date.available","2022-02-01T10:31:26Z"],["dc.date.issued","2022"],["dc.date.updated","2022-06-15T00:29:56Z"],["dc.description.abstract","Abstract Theories of visual attention suggest a cascading development of subfunctions such as alertness, spatial orientation, attention to object features, and endogenous control. Here, we aimed to track infants’ visual developmental steps from a primarily exogenously to more endogenously controlled processing style during their first months of life. In this repeated measures study, 51 infants participated in seven fortnightly assessments at postterm ages of 4–16 weeks. Infants were presented with the same set of static and dynamic paired comparison stimuli in each assessment. Visual behavior was evaluated by a newly introduced scoring scheme. Our results confirmed the suggested visual developmental hierarchy and clearly demonstrated the suitability of our scoring scheme for documenting developmental changes in visual attention during early infancy. Besides the general ontogenetic course of development, we also discuss intra‐ and interindividual differences which may affect single assessments, and highlight the importance of repeated measurements for reliable evaluation of developmental changes."],["dc.description.sponsorship","Austrian Science Fund http://dx.doi.org/10.13039/501100002428"],["dc.description.sponsorship","BioTechMed Graz"],["dc.identifier.doi","10.1111/infa.12449"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/98860"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-517"],["dc.relation","SFB 1528: Kognition der Interaktion"],["dc.relation.eissn","1532-7078"],["dc.relation.issn","1525-0008"],["dc.rights","This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited."],["dc.title","The development of visual attention in early infancy: Insights from a free‐viewing paradigm"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2018Journal Article Discussion [["dc.bibliographiccitation.firstpage","1060"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Developmental Medicine & Child Neurology"],["dc.bibliographiccitation.lastpage","1061"],["dc.bibliographiccitation.volume","60"],["dc.contributor.author","Zhang, Dajie"],["dc.contributor.author","Poustka, Luise"],["dc.contributor.author","Marschik, Peter B."],["dc.contributor.author","Einspieler, Christa"],["dc.date.accessioned","2020-06-03T07:46:40Z"],["dc.date.available","2020-06-03T07:46:40Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1111/dmcn.13924"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/66135"],["dc.language.iso","en"],["dc.relation.eissn","1469-8749"],["dc.relation.issn","0012-1622"],["dc.title","The onset of hand stereotypies in fragile X syndrome"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","letter_ja"],["dspace.entity.type","Publication"]]Details DOI2019Journal Article [["dc.bibliographiccitation.firstpage","3685"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Journal of Autism and Developmental Disorders"],["dc.bibliographiccitation.lastpage","3694"],["dc.bibliographiccitation.volume","49"],["dc.contributor.author","Zhang, Dajie"],["dc.contributor.author","Krieber-Tomantschger, Iris"],["dc.contributor.author","Poustka, Luise"],["dc.contributor.author","Roeyers, Herbert"],["dc.contributor.author","Sigafoos, Jeff"],["dc.contributor.author","Bölte, Sven"],["dc.contributor.author","Marschik, Peter B."],["dc.contributor.author","Einspieler, Christa"],["dc.date.accessioned","2020-05-26T09:17:09Z"],["dc.date.available","2020-05-26T09:17:09Z"],["dc.date.issued","2019"],["dc.description.abstract","Identifying the early signs of developmental disability is important for ensuring timely diagnosis and early intervention. Day-care workers may be in a prime position to notice potential developmental deviations, but it is unclear if they can accurately recognize subtle early signs of atypical development. Sixty day-care workers examined home-videos of very young children with fragile X syndrome and typically developing children. Results indicated that most day-care workers can distinguish typical and atypical development in general and might therefore have an important role in early identification. Special work experience and advanced pedagogical training appeared to boost day-care workers’ sensitivity to detect atypical features in early development and to provide effective daily surveillance. Scientific understanding and public awareness of young children at risk for developmental disorders have substantially increased in the past few decades. The growing number of studies on early human development have provided new empirical findings that have altered perspectives on the age-specific phenomena, pathways, and profiles associated with several developmental and genetic disorders (e.g., Johnson et al. 2015; Marschik et al. 2013; Messinger et al. 2013; Thomas et al. 2009). The advancements related to studies on late detected developmental disorders (LDDDs), for example, are particularly evident in research on autism spectrum disorder (ASD; e.g., Bölte et al. 2016, 2013; Bontinck et al. 2018; Bussu et al. 2018; Gliga et al. 2014; Messinger et al. 2013; Roeyers 2018). Research advances have also contributed to what appears to be greater acknowledgment of the significance of earlier detection of atypical development to enable timely intervention and support. In many European countries, as the number of working-mothers keeps climbing, the need of public childcare services increases steadily. In Austria, for example, the proportion of infants and children under 2 years of age who are attending day-care centres doubled from 2007 to 2017. In some urban areas, up to 45% of children aged 0 to 2-years attend day-care, of whom more than 90% spend 6–10 h per day with professional caregivers (Statistik Austria 2018). These day-care workers could thus be seen as among the most important care persons for many young children. As a consequence, it would seem important to investigate the potential role of day-care workers in the early detection of deviant development in young children. For example, might it be feasible to enlist day-care workers in the process of screening children for ASD? Such issues have been highlighted in a number of recent publications (Branson et al. 2008; Dereu et al. 2012; Janus et al. 2018; Janvier et al. 2016; Larsen et al. 2018a, b; Nordahl-Hansen et al. 2018, 2013). Indeed, results from some studies suggest that day-care workers have the competency to accurately report early signs of autism by applying well-designed behavioural checklists (Dereu et al. 2010; Larsen et al. 2018b). There might also be some potential advantages in integrating the help of day-care workers because such personnel often have training and knowledge of early child development and have considerable hands-on experience in working with children of comparable ages and diverse developmental profiles. Given that developmental disabilities affect at least 7 to 9% of young children (Olusanya et al. 2018; Zablotsky et al. 2017), it may be important to involve day-care workers as potential screeners of developmental disability. Unlike parents, day-care workers are likely to be more objective. The input from their daily surveillance may complement to our understanding of the prodromal period of LDDDs and potentially contribute to earlier identification, hence be of important public and scientific interest. Fragile X syndrome (FXS) is one of these LDDDs. Similar to several other disorders, such as Rett syndrome (RTT) and ASD, syndrome related behavioural and physical features are often subtle and elusive to detect at first, which of course makes early identification more challenging. Still, atypical early signs emerging in the first years of life across different developmental domains have been reported to be perceptible to parents of children with FXS (e.g., Hinton et al. 2013; Zhang et al. 2017). Some of these signs are frequently presented and often captured by home videos. With a benchmark procedure retrospectively analysing home videos of children with FXS, we, among other researchers, demonstrated that these signs can be readily identified and classified by professionals (Zhang et al. 2018; see also Baranek et al. 2005). Early phenotypes of FXS present a broad spectrum of atypical neurobehavioural features across various domains (e.g., motor, cognition, speech-language, social-communication), which are not specific to FXS (e.g., Haessler et al. 2016; Hagerman 2002; Kidd et al. 2014; Marschik et al. 2014; Raspa et al. 2017; Roche et al. 2018; Zhang et al. 2017). As early signs of FXS overlap with peculiarities of children with other developmental and genetic disorders, to identify these signs requires sensitivity to deviant development in general and not necessarily expertise in a specific syndrome. Pertinent to the current study, we intended to utilize home-video footage showing behaviours of different developmental areas of typically developing children and children with FXS as material to tap on day-care workers’ general awareness of early development. We adapted a video reviewing procedure used by Burford et al. (2003) by adding benchmark assessments of neurodevelopmental features. Specifically, we aimed to investigate whether day-care workers perceive young children with typical or atypical development differently. In Addition, we intended to find out whether they are able to accurately identify typical and atypical features in early development. As day-care workers have different training and experience backgrounds, we also aimed to answer whether these factors modify day-care workers’ perceptions of early developmental phenomena."],["dc.identifier.doi","10.1007/s10803-019-04056-3"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16730"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65978"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","1573-3432"],["dc.relation.issn","0162-3257"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Identifying Atypical Development: A Role of Day-Care Workers?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI