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Can we accelerate autism discoveries through crowdsourcing? / Maude M. DAVID in Research in Autism Spectrum Disorders, 32 (December 2016)
[article]
Titre : Can we accelerate autism discoveries through crowdsourcing? Type de document : Texte imprimé et/ou numérique Auteurs : Maude M. DAVID, Auteur ; Brooke A. BABINEAU, Auteur ; Dennis P. WALL, Auteur Article en page(s) : p.80-83 Langues : Anglais (eng) Mots-clés : Autism Autism spectrum disorder Genome-environment interactions Crowdsourcing Index. décimale : PER Périodiques Résumé : Abstract Autism is a dramatically expanding public health challenge. The search for genomic variants underlying the disease concomitantly accelerated over the last 5 years, leading to a general consensus that genetics can explain between 40% and 60% of the symptomatic variability seen in autism. This stresses both an urgent need to continue devoting resources to the search for genetic etiologies that define the forms of autism, and an equal need for attention to the interactive roles of the environment. While some environmental factors have been investigated, few studies have attempted to elucidate the combination and interplay between gene and environment to gain clear understanding of the mechanisms by which environmental factors interact with genetic susceptibilities in Autism Spectrum Disorder. Due to financial constraints as well as recruitment protocols limited by geography, such studies have been challenging to implement. We discuss here how crowdsourcing approaches can overcome these limitations. En ligne : http://dx.doi.org/10.1016/j.rasd.2016.09.001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=296
in Research in Autism Spectrum Disorders > 32 (December 2016) . - p.80-83[article] Can we accelerate autism discoveries through crowdsourcing? [Texte imprimé et/ou numérique] / Maude M. DAVID, Auteur ; Brooke A. BABINEAU, Auteur ; Dennis P. WALL, Auteur . - p.80-83.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 32 (December 2016) . - p.80-83
Mots-clés : Autism Autism spectrum disorder Genome-environment interactions Crowdsourcing Index. décimale : PER Périodiques Résumé : Abstract Autism is a dramatically expanding public health challenge. The search for genomic variants underlying the disease concomitantly accelerated over the last 5 years, leading to a general consensus that genetics can explain between 40% and 60% of the symptomatic variability seen in autism. This stresses both an urgent need to continue devoting resources to the search for genetic etiologies that define the forms of autism, and an equal need for attention to the interactive roles of the environment. While some environmental factors have been investigated, few studies have attempted to elucidate the combination and interplay between gene and environment to gain clear understanding of the mechanisms by which environmental factors interact with genetic susceptibilities in Autism Spectrum Disorder. Due to financial constraints as well as recruitment protocols limited by geography, such studies have been challenging to implement. We discuss here how crowdsourcing approaches can overcome these limitations. En ligne : http://dx.doi.org/10.1016/j.rasd.2016.09.001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=296 The diagnosis conundrum: Comparison of crowdsourced and expert assessments of toddlers with high and low risk of autism spectrum disorder / E. MYERS in Autism Research, 11-12 (December 2018)
[article]
Titre : The diagnosis conundrum: Comparison of crowdsourced and expert assessments of toddlers with high and low risk of autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : E. MYERS, Auteur ; W. L. STONE, Auteur ; Raphael BERNIER, Auteur ; T. LENDVAY, Auteur ; B. COMSTOCK, Auteur ; C. COWAN, Auteur Article en page(s) : p.1629-1634 Langues : Anglais (eng) Mots-clés : assessment autism spectrum disorder crowdsourcing social communication Index. décimale : PER Périodiques Résumé : As the diagnosis and treatment of Autism Spectrum Disorder (ASD) becomes a greater public health concern, access to professionals and expert assessment becomes increasingly more challenging. Novel techniques to improve efficiency of assessment of young children with social communication concerns are desperately needed to address significant barriers to accessing diagnostic evaluations. Utilizing crowdsourcing technology, we compared ratings by experts and crowdworkers of social communication behaviors in videos of 18-month-old children. Of note, 563 crowdworkers and 24 expert responses were collected in approximately 7 hr and 57 days, respectively. Summed scores of social communication behaviors observed by crowdworkers showed high correlation to those of experts. These data introduce a novel and perhaps efficient way in which to examine of social communication impairments in toddlers. Autism Research 2018, 11: 1629-1634. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This research compared crowdsourced assessments of social communication behaviors to assessments by experts, for toddlers whose behaviors ranged in severity from typical to atypical. Results showed that crowdsourced rankings of social communication behavior significantly correlate with those of experts. En ligne : http://dx.doi.org/10.1002/aur.2030 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=372
in Autism Research > 11-12 (December 2018) . - p.1629-1634[article] The diagnosis conundrum: Comparison of crowdsourced and expert assessments of toddlers with high and low risk of autism spectrum disorder [Texte imprimé et/ou numérique] / E. MYERS, Auteur ; W. L. STONE, Auteur ; Raphael BERNIER, Auteur ; T. LENDVAY, Auteur ; B. COMSTOCK, Auteur ; C. COWAN, Auteur . - p.1629-1634.
Langues : Anglais (eng)
in Autism Research > 11-12 (December 2018) . - p.1629-1634
Mots-clés : assessment autism spectrum disorder crowdsourcing social communication Index. décimale : PER Périodiques Résumé : As the diagnosis and treatment of Autism Spectrum Disorder (ASD) becomes a greater public health concern, access to professionals and expert assessment becomes increasingly more challenging. Novel techniques to improve efficiency of assessment of young children with social communication concerns are desperately needed to address significant barriers to accessing diagnostic evaluations. Utilizing crowdsourcing technology, we compared ratings by experts and crowdworkers of social communication behaviors in videos of 18-month-old children. Of note, 563 crowdworkers and 24 expert responses were collected in approximately 7 hr and 57 days, respectively. Summed scores of social communication behaviors observed by crowdworkers showed high correlation to those of experts. These data introduce a novel and perhaps efficient way in which to examine of social communication impairments in toddlers. Autism Research 2018, 11: 1629-1634. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This research compared crowdsourced assessments of social communication behaviors to assessments by experts, for toddlers whose behaviors ranged in severity from typical to atypical. Results showed that crowdsourced rankings of social communication behavior significantly correlate with those of experts. En ligne : http://dx.doi.org/10.1002/aur.2030 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=372 The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally / J. DANIELS in Molecular Autism, 8 (2017)
[article]
Titre : The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally Type de document : Texte imprimé et/ou numérique Auteurs : J. DANIELS, Auteur ; J. SCHWARTZ, Auteur ; N. ALBERT, Auteur ; M. DU, Auteur ; Dennis P. WALL, Auteur Article en page(s) : 55p. Langues : Anglais (eng) Mots-clés : Autism Autism spectrum disorder Crowdsourcing Epidemiology Prevalence Resources Index. décimale : PER Périodiques Résumé : Although the number of autism diagnoses is on the rise, we have no evidence-based tracking of size and severity of gaps in access to autism-related resources, nor do we have methods to geographically triangulate the locations of the widest gaps in either the US or elsewhere across the globe. To combat these related issues of (1) mapping diagnosed cases of autism and (2) quantifying gaps in access to key intervention services, we have constructed a crowd-based mobile platform called "GapMap" (http://gapmap.stanford.edu) for real-time tracking of autism prevalence and autism-related resources that can be accessed from any mobile device with cellular or wireless connectivity. Now in beta, our aim is for this Android/iOS compatible mobile tool to simultaneously crowd-enroll the massive and growing community of families with autism to capture geographic, diagnostic, and resource usage information while automatically computing prevalence at granular geographical scales to yield a more complete and dynamic understanding of autism resource epidemiology. En ligne : http://dx.doi.org/10.1186/s13229-017-0163-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=330
in Molecular Autism > 8 (2017) . - 55p.[article] The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally [Texte imprimé et/ou numérique] / J. DANIELS, Auteur ; J. SCHWARTZ, Auteur ; N. ALBERT, Auteur ; M. DU, Auteur ; Dennis P. WALL, Auteur . - 55p.
Langues : Anglais (eng)
in Molecular Autism > 8 (2017) . - 55p.
Mots-clés : Autism Autism spectrum disorder Crowdsourcing Epidemiology Prevalence Resources Index. décimale : PER Périodiques Résumé : Although the number of autism diagnoses is on the rise, we have no evidence-based tracking of size and severity of gaps in access to autism-related resources, nor do we have methods to geographically triangulate the locations of the widest gaps in either the US or elsewhere across the globe. To combat these related issues of (1) mapping diagnosed cases of autism and (2) quantifying gaps in access to key intervention services, we have constructed a crowd-based mobile platform called "GapMap" (http://gapmap.stanford.edu) for real-time tracking of autism prevalence and autism-related resources that can be accessed from any mobile device with cellular or wireless connectivity. Now in beta, our aim is for this Android/iOS compatible mobile tool to simultaneously crowd-enroll the massive and growing community of families with autism to capture geographic, diagnostic, and resource usage information while automatically computing prevalence at granular geographical scales to yield a more complete and dynamic understanding of autism resource epidemiology. En ligne : http://dx.doi.org/10.1186/s13229-017-0163-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=330