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Auteur Geraldine DAWSON |
Documents disponibles écrits par cet auteur (86)
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Characteristics Associated with Presence of Depressive Symptoms in Adults with Autism Spectrum Disorder / Lindsey STERLING in Journal of Autism and Developmental Disorders, 38-6 (July 2008)
[article]
Titre : Characteristics Associated with Presence of Depressive Symptoms in Adults with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Lindsey STERLING, Auteur ; Geraldine DAWSON, Auteur ; Jessica GREENSON, Auteur ; Annette ESTES, Auteur Année de publication : 2008 Article en page(s) : p.1011-1018 Langues : Anglais (eng) Mots-clés : Autism Depression Anxiety Comorbidity Associated-psychopathology Cognitive-ability Index. décimale : PER Périodiques Résumé : Evidence suggests that individuals with autism spectrum disorders (ASD) often exhibit associated psychiatric symptoms, particularly related to depression. The current study investigated whether individual characteristics, specifically, severity of ASD symptoms, level of cognitive ability, and/or presence of other psychiatric disorders, are associated with occurrence of depressive symptoms in adults with ASD. Forty-six adults with ASD were administered a standardized psychiatric history interview. Twenty participants (43%) endorsed depressive symptoms. It was found that individuals with less social impairment, higher cognitive ability, and higher rates of other psychiatric symptoms, were more likely to report depressive symptoms. These characteristics may be vulnerability factors for the development of depression, and should be considered when screening and treating adults with ASD. En ligne : http://dx.doi.org/10.1007/s10803-007-0477-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473
in Journal of Autism and Developmental Disorders > 38-6 (July 2008) . - p.1011-1018[article] Characteristics Associated with Presence of Depressive Symptoms in Adults with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Lindsey STERLING, Auteur ; Geraldine DAWSON, Auteur ; Jessica GREENSON, Auteur ; Annette ESTES, Auteur . - 2008 . - p.1011-1018.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 38-6 (July 2008) . - p.1011-1018
Mots-clés : Autism Depression Anxiety Comorbidity Associated-psychopathology Cognitive-ability Index. décimale : PER Périodiques Résumé : Evidence suggests that individuals with autism spectrum disorders (ASD) often exhibit associated psychiatric symptoms, particularly related to depression. The current study investigated whether individual characteristics, specifically, severity of ASD symptoms, level of cognitive ability, and/or presence of other psychiatric disorders, are associated with occurrence of depressive symptoms in adults with ASD. Forty-six adults with ASD were administered a standardized psychiatric history interview. Twenty participants (43%) endorsed depressive symptoms. It was found that individuals with less social impairment, higher cognitive ability, and higher rates of other psychiatric symptoms, were more likely to report depressive symptoms. These characteristics may be vulnerability factors for the development of depression, and should be considered when screening and treating adults with ASD. En ligne : http://dx.doi.org/10.1007/s10803-007-0477-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473 Clinical Validation of the Autism Behavior Inventory: Caregiver-Rated Assessment of Core and Associated Symptoms of Autism Spectrum Disorder / Abigail BANGERTER in Journal of Autism and Developmental Disorders, 50-6 (June 2020)
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 Concomitant medication use in children with autism spectrum disorder: Data from the Autism Biomarkers Consortium for Clinical Trials / Logan SHURTZ in Autism, 27-4 (May 2023)
[article]
Titre : Concomitant medication use in children with autism spectrum disorder: Data from the Autism Biomarkers Consortium for Clinical Trials Type de document : Texte imprimé et/ou numérique Auteurs : Logan SHURTZ, Auteur ; Chloe SCHWARTZ, Auteur ; Charlotte DISTEFANO, Auteur ; James C MCPARTLAND, Auteur ; April R LEVIN, Auteur ; Geraldine DAWSON, Auteur ; Natalia M KLEINHANS, Auteur ; Susan FAJA, Auteur ; Sara J WEBB, Auteur ; Frederick SHIC, Auteur ; Adam J NAPLES, Auteur ; Helen SEOW, Auteur ; Raphael A BERNIER, Auteur ; Katarzyna CHAWARSKA, Auteur ; Catherine A SUGAR, Auteur ; James DZIURA, Auteur ; Damla SENTURK, Auteur ; Megha SANTHOSH, Auteur ; Shafali S JESTE, Auteur Article en page(s) : p.952-966 Langues : Anglais (eng) Mots-clés : aberrant behavior checklist,antipsychotics,autism spectrum disorders,clinical trials,medications,Vineland Adaptive Behavior Scales Index. décimale : PER Périodiques Résumé : Children with autism spectrum disorder are prescribed various medications to address behavior and mood. In clinical trials, individuals taking concomitant psychotropic medications often are excluded to maintain homogeneity and prevent contamination of clinical endpoints. However, this choice may compromise the representativeness of the sample. In a recent study designed to identify biomarkers and endpoints for clinical trials (the Autism Biomarkers Consortium for Clinical Trials), school-age children with autism spectrum disorder were enrolled without excluding for medications, providing the opportunity to examine characteristics of psychotropic medication use and guide future decisions on medication-related inclusion criteria. The aims of the current analysis were (1) to quantify the frequency and type of psychotropic medications reported in school-age children enrolled in the study and (2) to examine behavioral features of children with autism spectrum disorder based on medication classes. Of the 280 children with autism spectrum disorder in the cohort, 42.5% were taking psychotropic medications, with polypharmacy in half. The most commonly reported psychotropic medications included melatonin, stimulants, selective serotonin reuptake inhibitors, alpha agonists, and antipsychotics. Our findings suggest that exclusion of children taking concomitant psychotropic medications could limit the representativeness of the study population, perhaps even excluding children who may most benefit from new treatment options.Lay abstractChildren with autism spectrum disorder are prescribed a variety of medications that affect the central nervous system (psychotropic medications) to address behavior and mood. In clinical trials, individuals taking concomitant psychotropic medications often are excluded to maintain homogeneity of the sample and prevent contamination of biomarkers or clinical endpoints. However, this choice may significantly diminish the clinical representativeness of the sample. In a recent multisite study designed to identify biomarkers and behavioral endpoints for clinical trials (the Autism Biomarkers Consortium for Clinical Trials), school-age children with autism spectrum disorder were enrolled without excluding for medications, thus providing a unique opportunity to examine characteristics of psychotropic medication use in a research cohort and to guide future decisions on medication-related inclusion criteria. The aims of the current analysis were (1) to quantify the frequency and type of psychotropic medications reported in school-age children enrolled in the ABC-CT and (2) to examine behavioral features of children with autism spectrum disorder based on medication classes. Of the 280 children with autism spectrum disorder in the cohort, 42.5% were taking psychotropic medications, with polypharmacy in half of these children. The most commonly reported psychotropic medications included melatonin, stimulants, selective serotonin reuptake inhibitors, alpha agonists, and antipsychotics. Descriptive analysis showed that children taking antipsychotics displayed a trend toward greater overall impairment. Our findings suggest that exclusion of children taking concomitant psychotropic medications in trials could limit the clinical representativeness of the study population, perhaps even excluding children who may most benefit from new treatment options. En ligne : https://doi.org/10.1177/13623613221121425 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499
in Autism > 27-4 (May 2023) . - p.952-966[article] Concomitant medication use in children with autism spectrum disorder: Data from the Autism Biomarkers Consortium for Clinical Trials [Texte imprimé et/ou numérique] / Logan SHURTZ, Auteur ; Chloe SCHWARTZ, Auteur ; Charlotte DISTEFANO, Auteur ; James C MCPARTLAND, Auteur ; April R LEVIN, Auteur ; Geraldine DAWSON, Auteur ; Natalia M KLEINHANS, Auteur ; Susan FAJA, Auteur ; Sara J WEBB, Auteur ; Frederick SHIC, Auteur ; Adam J NAPLES, Auteur ; Helen SEOW, Auteur ; Raphael A BERNIER, Auteur ; Katarzyna CHAWARSKA, Auteur ; Catherine A SUGAR, Auteur ; James DZIURA, Auteur ; Damla SENTURK, Auteur ; Megha SANTHOSH, Auteur ; Shafali S JESTE, Auteur . - p.952-966.
Langues : Anglais (eng)
in Autism > 27-4 (May 2023) . - p.952-966
Mots-clés : aberrant behavior checklist,antipsychotics,autism spectrum disorders,clinical trials,medications,Vineland Adaptive Behavior Scales Index. décimale : PER Périodiques Résumé : Children with autism spectrum disorder are prescribed various medications to address behavior and mood. In clinical trials, individuals taking concomitant psychotropic medications often are excluded to maintain homogeneity and prevent contamination of clinical endpoints. However, this choice may compromise the representativeness of the sample. In a recent study designed to identify biomarkers and endpoints for clinical trials (the Autism Biomarkers Consortium for Clinical Trials), school-age children with autism spectrum disorder were enrolled without excluding for medications, providing the opportunity to examine characteristics of psychotropic medication use and guide future decisions on medication-related inclusion criteria. The aims of the current analysis were (1) to quantify the frequency and type of psychotropic medications reported in school-age children enrolled in the study and (2) to examine behavioral features of children with autism spectrum disorder based on medication classes. Of the 280 children with autism spectrum disorder in the cohort, 42.5% were taking psychotropic medications, with polypharmacy in half. The most commonly reported psychotropic medications included melatonin, stimulants, selective serotonin reuptake inhibitors, alpha agonists, and antipsychotics. Our findings suggest that exclusion of children taking concomitant psychotropic medications could limit the representativeness of the study population, perhaps even excluding children who may most benefit from new treatment options.Lay abstractChildren with autism spectrum disorder are prescribed a variety of medications that affect the central nervous system (psychotropic medications) to address behavior and mood. In clinical trials, individuals taking concomitant psychotropic medications often are excluded to maintain homogeneity of the sample and prevent contamination of biomarkers or clinical endpoints. However, this choice may significantly diminish the clinical representativeness of the sample. In a recent multisite study designed to identify biomarkers and behavioral endpoints for clinical trials (the Autism Biomarkers Consortium for Clinical Trials), school-age children with autism spectrum disorder were enrolled without excluding for medications, thus providing a unique opportunity to examine characteristics of psychotropic medication use in a research cohort and to guide future decisions on medication-related inclusion criteria. The aims of the current analysis were (1) to quantify the frequency and type of psychotropic medications reported in school-age children enrolled in the ABC-CT and (2) to examine behavioral features of children with autism spectrum disorder based on medication classes. Of the 280 children with autism spectrum disorder in the cohort, 42.5% were taking psychotropic medications, with polypharmacy in half of these children. The most commonly reported psychotropic medications included melatonin, stimulants, selective serotonin reuptake inhibitors, alpha agonists, and antipsychotics. Descriptive analysis showed that children taking antipsychotics displayed a trend toward greater overall impairment. Our findings suggest that exclusion of children taking concomitant psychotropic medications in trials could limit the clinical representativeness of the study population, perhaps even excluding children who may most benefit from new treatment options. En ligne : https://doi.org/10.1177/13623613221121425 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499 PermalinkDesigning Research Studies on Psychosocial Interventions in Autism / Tristram SMITH in Journal of Autism and Developmental Disorders, 37-2 (February 2007)
PermalinkPermalinkA developmental model for facilitating the social behavior of autistic children / Geraldine DAWSON
PermalinkDigital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism / Kimberly L. H. CARPENTER in Autism Research, 14-3 (March 2021)
PermalinkDiscrepancies Between Academic Achievement and Intellectual Ability in Higher-Functioning School-Aged Children with Autism Spectrum Disorder / Annette ESTES in Journal of Autism and Developmental Disorders, 41-8 (August 2011)
PermalinkPermalinkDuane F. Alexander, M.D.: August 11, 1940-February 16, 2020 / Fred R. VOLKMAR in Journal of Autism and Developmental Disorders, 50-7 (July 2020)
PermalinkEarly behavioral intervention, brain plasticity, and the prevention of autism spectrum disorder / Geraldine DAWSON in Development and Psychopathology, 20-3 (Summer 2008)
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