A scalable computational approach to assessing response to name in toddlers with autism / Sam PEROCHON in Journal of Child Psychology and Psychiatry, 62-9 (September 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1120-1131 Titre : A scalable computational approach to assessing response to name in toddlers with autism Type de document : texte imprimé Auteurs : Sam PEROCHON, Auteur ; Matias DI MARTINO, Auteur ; Rachel AIELLO, Auteur ; Jeffrey BAKER, Auteur ; Kimberly L.H. CARPENTER, Auteur ; Zhuoqing CHANG, Auteur ; Scott N. COMPTON, Auteur ; Naomi DAVIS, Auteur ; Brian EICHNER, Auteur ; Steven ESPINOSA, Auteur ; Jacqueline FLOWERS, Auteur ; Lauren FRANZ, Auteur ; Martha GAGLIANO, Auteur ; Adrianne HARRIS, Auteur ; Jill HOWARD, Auteur ; Scott H KOLLINS, Auteur ; Eliana M. PERRIN, Auteur ; Pradeep RAJ, Auteur ; Marina SPANOS, Auteur ; Barbara WALTER, Auteur ; Guillermo SAPIRO, Auteur ; Geraldine DAWSON, Auteur Article en page(s) : p.1120-1131 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder/diagnosis  Child  Child, Preschool  Humans  Infant  Autism spectrum disorders  assessment  behavioral measures  screening. Index. décimale : PER Périodiques Résumé : BACKGROUND: This study is part of a larger research program focused on developing objective, scalable tools for digital behavioral phenotyping. We evaluated whether a digital app delivered on a smartphone or tablet using computer vision analysis (CVA) can elicit and accurately measure one of the most common early autism symptoms, namely failure to respond to a name call. METHODS: During a pediatric primary care well-child visit, 910 toddlers, 17-37 months old, were administered an app on an iPhone or iPad consisting of brief movies during which the child's name was called three times by an examiner standing behind them. Thirty-seven toddlers were subsequently diagnosed with autism spectrum disorder (ASD). Name calls and children's behavior were recorded by the camera embedded in the device, and children's head turns were coded by both CVA and a human. RESULTS: CVA coding of response to name was found to be comparable to human coding. Based on CVA, children with ASD responded to their name significantly less frequently than children without ASD. CVA also revealed that children with ASD who did orient to their name exhibited a longer latency before turning their head. Combining information about both the frequency and the delay in response to name improved the ability to distinguish toddlers with and without ASD. CONCLUSIONS: A digital app delivered on an iPhone or iPad in real-world settings using computer vision analysis to quantify behavior can reliably detect a key early autism symptom-failure to respond to name. Moreover, the higher resolution offered by CVA identified a delay in head turn in toddlers with ASD who did respond to their name. Digital phenotyping is a promising methodology for early assessment of ASD symptoms. En ligne : http://dx.doi.org/10.1111/jcpp.13381 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 [article] A scalable computational approach to assessing response to name in toddlers with autism [texte imprimé] / Sam PEROCHON, Auteur ; Matias DI MARTINO, Auteur ; Rachel AIELLO, Auteur ; Jeffrey BAKER, Auteur ; Kimberly L.H. CARPENTER, Auteur ; Zhuoqing CHANG, Auteur ; Scott N. COMPTON, Auteur ; Naomi DAVIS, Auteur ; Brian EICHNER, Auteur ; Steven ESPINOSA, Auteur ; Jacqueline FLOWERS, Auteur ; Lauren FRANZ, Auteur ; Martha GAGLIANO, Auteur ; Adrianne HARRIS, Auteur ; Jill HOWARD, Auteur ; Scott H KOLLINS, Auteur ; Eliana M. PERRIN, Auteur ; Pradeep RAJ, Auteur ; Marina SPANOS, Auteur ; Barbara WALTER, Auteur ; Guillermo SAPIRO, Auteur ; Geraldine DAWSON, Auteur . - p.1120-1131. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1120-1131 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder/diagnosis  Child  Child, Preschool  Humans  Infant  Autism spectrum disorders  assessment  behavioral measures  screening. Index. décimale : PER Périodiques Résumé : BACKGROUND: This study is part of a larger research program focused on developing objective, scalable tools for digital behavioral phenotyping. We evaluated whether a digital app delivered on a smartphone or tablet using computer vision analysis (CVA) can elicit and accurately measure one of the most common early autism symptoms, namely failure to respond to a name call. METHODS: During a pediatric primary care well-child visit, 910 toddlers, 17-37 months old, were administered an app on an iPhone or iPad consisting of brief movies during which the child's name was called three times by an examiner standing behind them. Thirty-seven toddlers were subsequently diagnosed with autism spectrum disorder (ASD). Name calls and children's behavior were recorded by the camera embedded in the device, and children's head turns were coded by both CVA and a human. RESULTS: CVA coding of response to name was found to be comparable to human coding. Based on CVA, children with ASD responded to their name significantly less frequently than children without ASD. CVA also revealed that children with ASD who did orient to their name exhibited a longer latency before turning their head. Combining information about both the frequency and the delay in response to name improved the ability to distinguish toddlers with and without ASD. CONCLUSIONS: A digital app delivered on an iPhone or iPad in real-world settings using computer vision analysis to quantify behavior can reliably detect a key early autism symptom-failure to respond to name. Moreover, the higher resolution offered by CVA identified a delay in head turn in toddlers with ASD who did respond to their name. Digital phenotyping is a promising methodology for early assessment of ASD symptoms. En ligne : http://dx.doi.org/10.1111/jcpp.13381 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456

Validation of eye‐tracking measures of social attention as a potential biomarker for autism clinical trials / Michael MURIAS in Autism Research, 11-1 (January 2018)  

Public ISBD [article]  inAutism Research > 11-1 (January 2018) . - p.166-174 Titre : Validation of eye‐tracking measures of social attention as a potential biomarker for autism clinical trials Type de document : texte imprimé Auteurs : Michael MURIAS, Auteur ; Samantha MAJOR, Auteur ; Katherine DAVLANTIS, Auteur ; Lauren FRANZ, Auteur ; Adrianne HARRIS, Auteur ; Benjamin RARDIN, Auteur ; Maura SABATOS-DEVITO, Auteur ; Geraldine DAWSON, Auteur Article en page(s) : p.166-174 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Social communication impairments are a core feature of autism spectrum disorder (ASD), and this class of symptoms is a target for treatments for the disorder. Measures of social attention, assessed via eye‐gaze tracking (EGT), have been proposed as an early efficacy biomarker for clinical trials targeting social communication skills. EGT measures have been shown to differentiate children with ASD from typical children; however, there is less known about their relationships with social communication outcome measures that are typically used in ASD clinical trials. In the present study, an EGT task involving viewing a videotape of an actor making bids for a child's attention was evaluated in 25 children with ASD aged 24–72 months. Children's attention to the actor during the dyadic bid condition measured via EGT was found to be strongly associated with five well‐validated caregiver‐reported outcome measures that are commonly used to assess social communication in clinical trials. These results highlight the convergent validity of EGT measures of social attention in relation to caregiver‐reported clinical measures. EGT holds promise as a non‐invasive, quantitative, and objective biomarker that is associated with social communication abilities in children with ASD. Autism Res 2018, 11: 166–174. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary Eye‐gaze tracking (EGT), an automated tool that tracks eye‐gaze patterns, might help measure outcomes in clinical trials investigating interventions to treat autism spectrum disorders. In this study, an EGT task was evaluated in children with ASD, who watched a video with an actor talking directly to them. Patterns of eye‐gaze were associated with caregiver‐reported measures of social communication that are used in clinical trials. We show EGT may be a promising objective tool measuring outcomes. En ligne : https://doi.org/10.1002/aur.1894 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=334 [article] Validation of eye‐tracking measures of social attention as a potential biomarker for autism clinical trials [texte imprimé] / Michael MURIAS, Auteur ; Samantha MAJOR, Auteur ; Katherine DAVLANTIS, Auteur ; Lauren FRANZ, Auteur ; Adrianne HARRIS, Auteur ; Benjamin RARDIN, Auteur ; Maura SABATOS-DEVITO, Auteur ; Geraldine DAWSON, Auteur . - p.166-174. Langues : Anglais (eng) in Autism Research > 11-1 (January 2018) . - p.166-174 Index. décimale : PER Périodiques Résumé : Social communication impairments are a core feature of autism spectrum disorder (ASD), and this class of symptoms is a target for treatments for the disorder. Measures of social attention, assessed via eye‐gaze tracking (EGT), have been proposed as an early efficacy biomarker for clinical trials targeting social communication skills. EGT measures have been shown to differentiate children with ASD from typical children; however, there is less known about their relationships with social communication outcome measures that are typically used in ASD clinical trials. In the present study, an EGT task involving viewing a videotape of an actor making bids for a child's attention was evaluated in 25 children with ASD aged 24–72 months. Children's attention to the actor during the dyadic bid condition measured via EGT was found to be strongly associated with five well‐validated caregiver‐reported outcome measures that are commonly used to assess social communication in clinical trials. These results highlight the convergent validity of EGT measures of social attention in relation to caregiver‐reported clinical measures. EGT holds promise as a non‐invasive, quantitative, and objective biomarker that is associated with social communication abilities in children with ASD. Autism Res 2018, 11: 166–174. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary Eye‐gaze tracking (EGT), an automated tool that tracks eye‐gaze patterns, might help measure outcomes in clinical trials investigating interventions to treat autism spectrum disorders. In this study, an EGT task was evaluated in children with ASD, who watched a video with an actor talking directly to them. Patterns of eye‐gaze were associated with caregiver‐reported measures of social communication that are used in clinical trials. We show EGT may be a promising objective tool measuring outcomes. En ligne : https://doi.org/10.1002/aur.1894 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=334

---

1 (1 - 2 / 2) Par page : 25 50 100 200