Brief Report: A Comparison of the Preference for Viewing Social and Non-social Movies in Typical and Autistic Adolescents / Indu DUBEY in Journal of Autism and Developmental Disorders, 47-2 (February 2017)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 47-2 (February 2017) . - p.514-519 Titre : Brief Report: A Comparison of the Preference for Viewing Social and Non-social Movies in Typical and Autistic Adolescents Type de document : Texte imprimé et/ou numérique Auteurs : Indu DUBEY, Auteur ; Danielle ROPAR, Auteur ; Antonia HAMILTON, Auteur Article en page(s) : p.514-519 Langues : Anglais (eng) Mots-clés : Choose-a-Movie (CAM) task  Social preference  Social motivation  Autism spectrum conditions (ASC)  Adolescents Index. décimale : PER Périodiques Résumé : The recently proposed Social Motivation theory (Chevallier et al., Trends in cognitive sciences 16(4):231–239, 2012) suggests that social difficulties in Autism Spectrum Condition (ASC) might be caused by a difference in the motivation to engage with other people. Here we compared adolescents with (N?=?31) and without (N?=?37) ASC on the Choose-a-Movie paradigm that measures the social seeking. The results showed a preference for viewing objects over smiling faces in ASC, which is in line with the theory of low social motivation. However, typical adolescents did not show any stimuli preferences, raising questions about developmental changes in social motivation. Age was found to play a significant role in moderating the choice behaviour of the participants. We discuss the implications of these findings in detail. En ligne : http://dx.doi.org/10.1007/s10803-016-2974-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=303 [article] Brief Report: A Comparison of the Preference for Viewing Social and Non-social Movies in Typical and Autistic Adolescents [Texte imprimé et/ou numérique] / Indu DUBEY, Auteur ; Danielle ROPAR, Auteur ; Antonia HAMILTON, Auteur . - p.514-519. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 47-2 (February 2017) . - p.514-519 Mots-clés : Choose-a-Movie (CAM) task  Social preference  Social motivation  Autism spectrum conditions (ASC)  Adolescents Index. décimale : PER Périodiques Résumé : The recently proposed Social Motivation theory (Chevallier et al., Trends in cognitive sciences 16(4):231–239, 2012) suggests that social difficulties in Autism Spectrum Condition (ASC) might be caused by a difference in the motivation to engage with other people. Here we compared adolescents with (N?=?31) and without (N?=?37) ASC on the Choose-a-Movie paradigm that measures the social seeking. The results showed a preference for viewing objects over smiling faces in ASC, which is in line with the theory of low social motivation. However, typical adolescents did not show any stimuli preferences, raising questions about developmental changes in social motivation. Age was found to play a significant role in moderating the choice behaviour of the participants. We discuss the implications of these findings in detail. En ligne : http://dx.doi.org/10.1007/s10803-016-2974-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=303

Measuring the value of social engagement in adults with and without autism / Indu DUBEY in Molecular Autism, (June 2015)  

Public ISBD [article]  inMolecular Autism > (June 2015) . - p.1-9 Titre : Measuring the value of social engagement in adults with and without autism Type de document : Texte imprimé et/ou numérique Auteurs : Indu DUBEY, Auteur ; Danielle ROPAR, Auteur ; Antonia HAMILTON, Auteur Article en page(s) : p.1-9 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Differences in social communication are commonly reported in autism spectrum condition (ASC). A recent theory attributes this to a reduced motivation to engage with others, that is, deficits in social motivation. However, there are currently few simple, direct, behavioural ways to test this claim. This study uses a new behavioural measure of social motivation to test if preferences for direct gaze and face stimuli are linked to autistic traits or an ASC diagnosis. Our novel choose-a-movie (CAM) paradigm measures the effort participants invest to see particular stimuli. This aspect of social motivation is also known as social seeking. En ligne : http://dx.doi.org/10.1186/s13229-015-0031-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=277 [article] Measuring the value of social engagement in adults with and without autism [Texte imprimé et/ou numérique] / Indu DUBEY, Auteur ; Danielle ROPAR, Auteur ; Antonia HAMILTON, Auteur . - p.1-9. Langues : Anglais (eng) in Molecular Autism > (June 2015) . - p.1-9 Index. décimale : PER Périodiques Résumé : Differences in social communication are commonly reported in autism spectrum condition (ASC). A recent theory attributes this to a reduced motivation to engage with others, that is, deficits in social motivation. However, there are currently few simple, direct, behavioural ways to test this claim. This study uses a new behavioural measure of social motivation to test if preferences for direct gaze and face stimuli are linked to autistic traits or an ASC diagnosis. Our novel choose-a-movie (CAM) paradigm measures the effort participants invest to see particular stimuli. This aspect of social motivation is also known as social seeking. En ligne : http://dx.doi.org/10.1186/s13229-015-0031-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=277

The Latent Structure of Autistic Traits: A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient / Richard J. E. JAMES in Journal of Autism and Developmental Disorders, 46-12 (December 2016)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 46-12 (December 2016) . - p.3712-3728 Titre : The Latent Structure of Autistic Traits: A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient Type de document : Texte imprimé et/ou numérique Auteurs : Richard J. E. JAMES, Auteur ; Indu DUBEY, Auteur ; Danielle SMITH, Auteur ; Danielle ROPAR, Auteur ; Richard J. TUNNEY, Auteur Article en page(s) : p.3712-3728 Langues : Anglais (eng) Mots-clés : Autism quotient  Autistic traits  Taxometric analysis  Latent class analysis  Latent structure analysis  Nosology Index. décimale : PER Périodiques Résumé : Autistic traits are widely thought to operate along a continuum. A taxometric analysis of Adult Autism Spectrum Quotient data was conducted to test this assumption, finding little support but identifying a high severity taxon. To understand this further, latent class and latent profile models were estimated that indicated the presence of six distinct subtypes: one with little probability of endorsing any autistic traits, one engaging in ‘systemising’ behaviours, three groups endorsing multiple components of Wing and Gould’s autistic triad, and a group similar in size and profile to the taxon previously identified. These analyses suggest the AQ (and potentially by extension autistic traits) have a categorical structure. These findings have important implications for the analysis and interpretation of AQ data. En ligne : http://dx.doi.org/10.1007/s10803-016-2897-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297 [article] The Latent Structure of Autistic Traits: A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient [Texte imprimé et/ou numérique] / Richard J. E. JAMES, Auteur ; Indu DUBEY, Auteur ; Danielle SMITH, Auteur ; Danielle ROPAR, Auteur ; Richard J. TUNNEY, Auteur . - p.3712-3728. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 46-12 (December 2016) . - p.3712-3728 Mots-clés : Autism quotient  Autistic traits  Taxometric analysis  Latent class analysis  Latent structure analysis  Nosology Index. décimale : PER Périodiques Résumé : Autistic traits are widely thought to operate along a continuum. A taxometric analysis of Adult Autism Spectrum Quotient data was conducted to test this assumption, finding little support but identifying a high severity taxon. To understand this further, latent class and latent profile models were estimated that indicated the presence of six distinct subtypes: one with little probability of endorsing any autistic traits, one engaging in ‘systemising’ behaviours, three groups endorsing multiple components of Wing and Gould’s autistic triad, and a group similar in size and profile to the taxon previously identified. These analyses suggest the AQ (and potentially by extension autistic traits) have a categorical structure. These findings have important implications for the analysis and interpretation of AQ data. En ligne : http://dx.doi.org/10.1007/s10803-016-2897-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297

Using mobile health technology to assess childhood autism in low-resource community settings in India: An innovation to address the detection gap / Indu DUBEY in Autism, 28-3 (March 2024)  

Public ISBD [article]  inAutism > 28-3 (March 2024) . - p.755-769 Titre : Using mobile health technology to assess childhood autism in low-resource community settings in India: An innovation to address the detection gap Type de document : Texte imprimé et/ou numérique Auteurs : Indu DUBEY, Auteur ; Rahul BISHAIN, Auteur ; Jayashree DASGUPTA, Auteur ; Supriya BHAVNANI, Auteur ; Matthew K. BELMONTE, Auteur ; Teodora GLIGA, Auteur ; Debarati MUKHERJEE, Auteur ; Georgia LOCKWOOD ESTRIN, Auteur ; Mark H. JOHNSON, Auteur ; Sharat CHANDRAN, Auteur ; Vikram PATEL, Auteur ; Sheffali GULATI, Auteur ; Gauri DIVAN, Auteur ; Bhismadev CHAKRABARTI, Auteur Article en page(s) : p.755-769 Langues : Anglais (eng) Mots-clés : Autism  digital health  global  LMIC Index. décimale : PER Périodiques Résumé : A diagnosis of autism typically depends on clinical assessments by highly trained professionals. This high resource demand poses a challenge in low-resource settings. Digital assessment of neurodevelopmental symptoms by non-specialists provides a potential avenue to address this challenge. This cross-sectional case-control field study establishes proof of principle for such a digital assessment. We developed and tested an app, START, that can be administered by non-specialists to assess autism phenotypic domains (social, sensory, motor) through child performance and parent reports. N = 131 children (2-7?years old; 48 autistic, 43 intellectually disabled and 40 non-autistic typically developing) from low-resource settings in Delhi-NCR, India were assessed using START in home settings by non-specialist health workers. The two groups of children with neurodevelopmental disorders manifested lower social preference, greater sensory interest and lower fine-motor accuracy compared to their typically developing counterparts. Parent report further distinguished autistic from non-autistic children. Machine-learning analysis combining all START-derived measures demonstrated 78% classification accuracy for the three groups. Qualitative analysis of the interviews with health workers and families of the participants demonstrated high acceptability and feasibility of the app. These results provide feasibility, acceptability and proof of principle for START, and demonstrate the potential of a scalable, mobile tool for assessing neurodevelopmental conditions in low-resource settings. Lay abstract Autism is diagnosed by highly trained professionals- but most autistic people live in parts of the world that harbour few or no such autism specialists and little autism awareness. So many autistic people go undiagnosed, misdiagnosed, and misunderstood. We designed an app (START) to identify autism and related conditions in such places, in an attempt to address this global gap in access to specialists. START uses computerised games and activities for children and a questionnaire for parents to measure social, sensory, and motor skills. To check whether START can flag undiagnosed children likely to have neurodevelopmental conditions, we tested START with children whose diagnoses already were known: Non-specialist health workers with just a high-school education took START to family homes in poor neighbourhoods of Delhi, India to work with 131 two-to-seven-year-olds. Differences between typically and atypically developing children were highlighted in all three types of skills that START assesses: children with neurodevelopmental conditions preferred looking at geometric patterns rather than social scenes, were fascinated by predictable, repetitive sensory stimuli, and had more trouble with precise hand movements. Parents' responses to surveys further distinguished autistic from non-autistic children. An artificial-intelligence technique combining all these measures demonstrated that START can fairly accurately flag atypically developing children. Health workers and families endorsed START as attractive to most children, understandable to health workers, and adaptable within sometimes chaotic home and family environments. This study provides a proof of principle for START in digital screening of autism and related conditions in community settings. En ligne : https://dx.doi.org/10.1177/13623613231182801 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=523 [article] Using mobile health technology to assess childhood autism in low-resource community settings in India: An innovation to address the detection gap [Texte imprimé et/ou numérique] / Indu DUBEY, Auteur ; Rahul BISHAIN, Auteur ; Jayashree DASGUPTA, Auteur ; Supriya BHAVNANI, Auteur ; Matthew K. BELMONTE, Auteur ; Teodora GLIGA, Auteur ; Debarati MUKHERJEE, Auteur ; Georgia LOCKWOOD ESTRIN, Auteur ; Mark H. JOHNSON, Auteur ; Sharat CHANDRAN, Auteur ; Vikram PATEL, Auteur ; Sheffali GULATI, Auteur ; Gauri DIVAN, Auteur ; Bhismadev CHAKRABARTI, Auteur . - p.755-769. Langues : Anglais (eng) in Autism > 28-3 (March 2024) . - p.755-769 Mots-clés : Autism  digital health  global  LMIC Index. décimale : PER Périodiques Résumé : A diagnosis of autism typically depends on clinical assessments by highly trained professionals. This high resource demand poses a challenge in low-resource settings. Digital assessment of neurodevelopmental symptoms by non-specialists provides a potential avenue to address this challenge. This cross-sectional case-control field study establishes proof of principle for such a digital assessment. We developed and tested an app, START, that can be administered by non-specialists to assess autism phenotypic domains (social, sensory, motor) through child performance and parent reports. N = 131 children (2-7?years old; 48 autistic, 43 intellectually disabled and 40 non-autistic typically developing) from low-resource settings in Delhi-NCR, India were assessed using START in home settings by non-specialist health workers. The two groups of children with neurodevelopmental disorders manifested lower social preference, greater sensory interest and lower fine-motor accuracy compared to their typically developing counterparts. Parent report further distinguished autistic from non-autistic children. Machine-learning analysis combining all START-derived measures demonstrated 78% classification accuracy for the three groups. Qualitative analysis of the interviews with health workers and families of the participants demonstrated high acceptability and feasibility of the app. These results provide feasibility, acceptability and proof of principle for START, and demonstrate the potential of a scalable, mobile tool for assessing neurodevelopmental conditions in low-resource settings. Lay abstract Autism is diagnosed by highly trained professionals- but most autistic people live in parts of the world that harbour few or no such autism specialists and little autism awareness. So many autistic people go undiagnosed, misdiagnosed, and misunderstood. We designed an app (START) to identify autism and related conditions in such places, in an attempt to address this global gap in access to specialists. START uses computerised games and activities for children and a questionnaire for parents to measure social, sensory, and motor skills. To check whether START can flag undiagnosed children likely to have neurodevelopmental conditions, we tested START with children whose diagnoses already were known: Non-specialist health workers with just a high-school education took START to family homes in poor neighbourhoods of Delhi, India to work with 131 two-to-seven-year-olds. Differences between typically and atypically developing children were highlighted in all three types of skills that START assesses: children with neurodevelopmental conditions preferred looking at geometric patterns rather than social scenes, were fascinated by predictable, repetitive sensory stimuli, and had more trouble with precise hand movements. Parents' responses to surveys further distinguished autistic from non-autistic children. An artificial-intelligence technique combining all these measures demonstrated that START can fairly accurately flag atypically developing children. Health workers and families endorsed START as attractive to most children, understandable to health workers, and adaptable within sometimes chaotic home and family environments. This study provides a proof of principle for START in digital screening of autism and related conditions in community settings. En ligne : https://dx.doi.org/10.1177/13623613231182801 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=523

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