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Détail de l'auteur
Auteur Naomi DAVIS |
Documents disponibles écrits par cet auteur (2)
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Complexity analysis of head movements in autistic toddlers / Pradeep Raj KRISHNAPPA BABU in Journal of Child Psychology and Psychiatry, 64-1 (January 2023)
[article]
Titre : Complexity analysis of head movements in autistic toddlers Type de document : Texte imprimé et/ou numérique Auteurs : Pradeep Raj KRISHNAPPA BABU, Auteur ; J. Matias DI MARTINO, Auteur ; Zhuoqing CHANG, Auteur ; Sam PEROCHON, Auteur ; Rachel AIELLO, Auteur ; Kimberly L.H. CARPENTER, Auteur ; Scott COMPTON, Auteur ; Naomi DAVIS, Auteur ; Lauren FRANZ, Auteur ; Steven ESPINOSA, Auteur ; Jacqueline FLOWERS, Auteur ; Geraldine DAWSON, Auteur ; Guillermo SAPIRO, Auteur Article en page(s) : p.156-166 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Early differences in sensorimotor functioning have been documented in young autistic children and infants who are later diagnosed with autism. Previous research has demonstrated that autistic toddlers exhibit more frequent head movement when viewing dynamic audiovisual stimuli, compared to neurotypical toddlers. To further explore this behavioral characteristic, in this study, computer vision (CV) analysis was used to measure several aspects of head movement dynamics of autistic and neurotypical toddlers while they watched a set of brief movies with social and nonsocial content presented on a tablet. Methods Data were collected from 457 toddlers, 17-36 months old, during their well-child visit to four pediatric primary care clinics. Forty-one toddlers were subsequently diagnosed with autism. An application (app) displayed several brief movies on a tablet, and the toddlers watched these movies while sitting on their caregiver's lap. The front-facing camera in the tablet recorded the toddlers' behavioral responses. CV was used to measure the participants' head movement rate, movement acceleration, and complexity using multiscale entropy. Results Autistic toddlers exhibited significantly higher rate, acceleration, and complexity in their head movements while watching the movies compared to neurotypical toddlers, regardless of the type of movie content (social vs. nonsocial). The combined features of head movement acceleration and complexity reliably distinguished the autistic and neurotypical toddlers. Conclusions Autistic toddlers exhibit differences in their head movement dynamics when viewing audiovisual stimuli. Higher complexity of their head movements suggests that their movements were less predictable and less stable compared to neurotypical toddlers. CV offers a scalable means of detecting subtle differences in head movement dynamics, which may be helpful in identifying early behaviors associated with autism and providing insight into the nature of sensorimotor differences associated with autism. En ligne : https://doi.org/10.1111/jcpp.13681 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490
in Journal of Child Psychology and Psychiatry > 64-1 (January 2023) . - p.156-166[article] Complexity analysis of head movements in autistic toddlers [Texte imprimé et/ou numérique] / Pradeep Raj KRISHNAPPA BABU, Auteur ; J. Matias DI MARTINO, Auteur ; Zhuoqing CHANG, Auteur ; Sam PEROCHON, Auteur ; Rachel AIELLO, Auteur ; Kimberly L.H. CARPENTER, Auteur ; Scott COMPTON, Auteur ; Naomi DAVIS, Auteur ; Lauren FRANZ, Auteur ; Steven ESPINOSA, Auteur ; Jacqueline FLOWERS, Auteur ; Geraldine DAWSON, Auteur ; Guillermo SAPIRO, Auteur . - p.156-166.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 64-1 (January 2023) . - p.156-166
Index. décimale : PER Périodiques Résumé : Background Early differences in sensorimotor functioning have been documented in young autistic children and infants who are later diagnosed with autism. Previous research has demonstrated that autistic toddlers exhibit more frequent head movement when viewing dynamic audiovisual stimuli, compared to neurotypical toddlers. To further explore this behavioral characteristic, in this study, computer vision (CV) analysis was used to measure several aspects of head movement dynamics of autistic and neurotypical toddlers while they watched a set of brief movies with social and nonsocial content presented on a tablet. Methods Data were collected from 457 toddlers, 17-36 months old, during their well-child visit to four pediatric primary care clinics. Forty-one toddlers were subsequently diagnosed with autism. An application (app) displayed several brief movies on a tablet, and the toddlers watched these movies while sitting on their caregiver's lap. The front-facing camera in the tablet recorded the toddlers' behavioral responses. CV was used to measure the participants' head movement rate, movement acceleration, and complexity using multiscale entropy. Results Autistic toddlers exhibited significantly higher rate, acceleration, and complexity in their head movements while watching the movies compared to neurotypical toddlers, regardless of the type of movie content (social vs. nonsocial). The combined features of head movement acceleration and complexity reliably distinguished the autistic and neurotypical toddlers. Conclusions Autistic toddlers exhibit differences in their head movement dynamics when viewing audiovisual stimuli. Higher complexity of their head movements suggests that their movements were less predictable and less stable compared to neurotypical toddlers. CV offers a scalable means of detecting subtle differences in head movement dynamics, which may be helpful in identifying early behaviors associated with autism and providing insight into the nature of sensorimotor differences associated with autism. En ligne : https://doi.org/10.1111/jcpp.13681 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490 Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report / Dmitry Yu ISAEV in Journal of Autism and Developmental Disorders, 54-6 (June 2024)
[article]
Titre : Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report Type de document : Texte imprimé et/ou numérique Auteurs : Dmitry Yu ISAEV, Auteur ; Maura SABATOS-DEVITO, Auteur ; J. Matias DI MARTINO, Auteur ; Kimberly CARPENTER, Auteur ; Rachel AIELLO, Auteur ; Scott COMPTON, Auteur ; Naomi DAVIS, Auteur ; Lauren FRANZ, Auteur ; Connor SULLIVAN, Auteur ; Geraldine DAWSON, Auteur ; Guillermo SAPIRO, Auteur Article en page(s) : p.2286-2297 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : We report preliminary results of computer vision analysis of caregiver-child interactions during free play with children diagnosed with autism (N = 29, 41-91 months), attention-deficit/hyperactivity disorder (ADHD, N = 22, 48-100 months), or combined autism?+?ADHD (N = 20, 56-98 months), and neurotypical children (NT, N = 7, 55-95 months). We conducted micro-analytic analysis of 'reaching to a toy,' as a proxy for initiating or responding to a toy play bout. Dyadic analysis revealed two clusters of interaction patterns, which differed in frequency of 'reaching to a toy' and caregivers' contingent responding to the child?s reach for a toy by also reaching for a toy. Children in dyads with higher caregiver responsiveness had less developed language, communication, and socialization skills. Clusters were not associated with diagnostic groups. These results hold promise for automated methods of characterizing caregiver responsiveness in dyadic interactions for assessment and outcome monitoring in clinical trials. En ligne : https://doi.org/10.1007/s10803-023-05973-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=530
in Journal of Autism and Developmental Disorders > 54-6 (June 2024) . - p.2286-2297[article] Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report [Texte imprimé et/ou numérique] / Dmitry Yu ISAEV, Auteur ; Maura SABATOS-DEVITO, Auteur ; J. Matias DI MARTINO, Auteur ; Kimberly CARPENTER, Auteur ; Rachel AIELLO, Auteur ; Scott COMPTON, Auteur ; Naomi DAVIS, Auteur ; Lauren FRANZ, Auteur ; Connor SULLIVAN, Auteur ; Geraldine DAWSON, Auteur ; Guillermo SAPIRO, Auteur . - p.2286-2297.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 54-6 (June 2024) . - p.2286-2297
Index. décimale : PER Périodiques Résumé : We report preliminary results of computer vision analysis of caregiver-child interactions during free play with children diagnosed with autism (N = 29, 41-91 months), attention-deficit/hyperactivity disorder (ADHD, N = 22, 48-100 months), or combined autism?+?ADHD (N = 20, 56-98 months), and neurotypical children (NT, N = 7, 55-95 months). We conducted micro-analytic analysis of 'reaching to a toy,' as a proxy for initiating or responding to a toy play bout. Dyadic analysis revealed two clusters of interaction patterns, which differed in frequency of 'reaching to a toy' and caregivers' contingent responding to the child?s reach for a toy by also reaching for a toy. Children in dyads with higher caregiver responsiveness had less developed language, communication, and socialization skills. Clusters were not associated with diagnostic groups. These results hold promise for automated methods of characterizing caregiver responsiveness in dyadic interactions for assessment and outcome monitoring in clinical trials. En ligne : https://doi.org/10.1007/s10803-023-05973-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=530