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Auteur M. S. GOODWIN |
Documents disponibles écrits par cet auteur (5)
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Automatic Recognition of Posed Facial Expression of Emotion in Individuals with Autism Spectrum Disorder / J. MANFREDONIA in Journal of Autism and Developmental Disorders, 49-1 (January 2019)
[article]
Titre : Automatic Recognition of Posed Facial Expression of Emotion in Individuals with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : J. MANFREDONIA, Auteur ; Abigail BANGERTER, Auteur ; N. V. MANYAKOV, Auteur ; S. NESS, Auteur ; D. LEWIN, Auteur ; A. SKALKIN, Auteur ; Matthew A. BOICE, Auteur ; M. S. GOODWIN, Auteur ; G. DAWSON, Auteur ; R. HENDREN, Auteur ; B. LEVENTHAL, Auteur ; F. SHIC, Auteur ; Gahan PANDINA, Auteur Article en page(s) : p.279-293 Langues : Anglais (eng) Mots-clés : Asd Automated Emotion Expression Facet Facial Index. décimale : PER Périodiques Résumé : Facial expression is impaired in autism spectrum disorder (ASD), but rarely systematically studied. We focus on the ability of individuals with ASD to produce facial expressions of emotions in response to a verbal prompt. We used the Janssen Autism Knowledge Engine (JAKE((R))), including automated facial expression analysis software (FACET) to measure facial expressions in individuals with ASD (n = 144) and a typically developing (TD) comparison group (n = 41). Differences in ability to produce facial expressions were observed between ASD and TD groups, demonstrated by activation of facial action units (happy, scared, surprised, disgusted, but not angry or sad). Activation of facial action units correlated with parent-reported social communication skills. This approach has potential for diagnostic and response to intervention measures.Trial Registration NCT02299700. En ligne : http://dx.doi.org/10.1007/s10803-018-3757-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=377
in Journal of Autism and Developmental Disorders > 49-1 (January 2019) . - p.279-293[article] Automatic Recognition of Posed Facial Expression of Emotion in Individuals with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / J. MANFREDONIA, Auteur ; Abigail BANGERTER, Auteur ; N. V. MANYAKOV, Auteur ; S. NESS, Auteur ; D. LEWIN, Auteur ; A. SKALKIN, Auteur ; Matthew A. BOICE, Auteur ; M. S. GOODWIN, Auteur ; G. DAWSON, Auteur ; R. HENDREN, Auteur ; B. LEVENTHAL, Auteur ; F. SHIC, Auteur ; Gahan PANDINA, Auteur . - p.279-293.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 49-1 (January 2019) . - p.279-293
Mots-clés : Asd Automated Emotion Expression Facet Facial Index. décimale : PER Périodiques Résumé : Facial expression is impaired in autism spectrum disorder (ASD), but rarely systematically studied. We focus on the ability of individuals with ASD to produce facial expressions of emotions in response to a verbal prompt. We used the Janssen Autism Knowledge Engine (JAKE((R))), including automated facial expression analysis software (FACET) to measure facial expressions in individuals with ASD (n = 144) and a typically developing (TD) comparison group (n = 41). Differences in ability to produce facial expressions were observed between ASD and TD groups, demonstrated by activation of facial action units (happy, scared, surprised, disgusted, but not angry or sad). Activation of facial action units correlated with parent-reported social communication skills. This approach has potential for diagnostic and response to intervention measures.Trial Registration NCT02299700. En ligne : http://dx.doi.org/10.1007/s10803-018-3757-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=377 Evaluating commercially available wireless cardiovascular monitors for measuring and transmitting real-time physiological responses in children with autism / H. J. NUSKE in Autism Research, 15-1 (January 2022)
[article]
Titre : Evaluating commercially available wireless cardiovascular monitors for measuring and transmitting real-time physiological responses in children with autism Type de document : Texte imprimé et/ou numérique Auteurs : H. J. NUSKE, Auteur ; M. S. GOODWIN, Auteur ; Y. KUSHLEYEVA, Auteur ; D. FORSYTH, Auteur ; J. W. PENNINGTON, Auteur ; A. J. MASINO, Auteur ; E. FINKEL, Auteur ; Arjun BHATTACHARYA, Auteur ; J. TAN, Auteur ; H. TAI, Auteur ; Z. ATKINSON-DIAZ, Auteur ; C. P. BONAFIDE, Auteur ; J. D. HERRINGTON, Auteur Article en page(s) : p.117-130 Langues : Anglais (eng) Mots-clés : Adult Autism Spectrum Disorder Autistic Disorder Child Fitness Trackers Heart Rate Humans Wearable Electronic Devices cardiovascular system feasibility studies heart rate physiologic monitoring physiological stress Index. décimale : PER Périodiques Résumé : Commercially available wearable biosensors have the potential to enhance psychophysiology research and digital health technologies for autism by enabling stress or arousal monitoring in naturalistic settings. However, such monitors may not be comfortable for children with autism due to sensory sensitivities. To determine the feasibility of wearable technology in children with autism age 8-12?years, we first selected six consumer-grade wireless cardiovascular monitors and tested them during rest and movement conditions in 23 typically developing adults. Subsequently, the best performing monitors (based on data quality robustness statistics), Polar and Mio Fuse, were evaluated in 32 children with autism and 23 typically developing children during a 2-h session, including rest and mild stress-inducing tasks. Cardiovascular data were recorded simultaneously across monitors using custom software. We administered the Comfort Rating Scales to children. Although the Polar monitor was less comfortable for children with autism than typically developing children, absolute scores demonstrated that, on average, all children found each monitor comfortable. For most children, data from the Mio Fuse (96%-100%) and Polar (83%-96%) passed quality thresholds of data robustness. Moreover, in the stress relative to rest condition, heart rate increased for the Polar, F(1,53) = 135.70, p?0.001, ?p(2) = 0.78, and Mio Fuse, F(1,53) = 71.98, p?0.001, ?p(2) = 0.61, respectively, and heart rate variability decreased for the Polar, F(1,53) = 13.41, p = 0.001, ?p(2) = 0.26, and Mio Fuse, F(1,53) = 8.89, p = 0.005, ?p(2) = 0.16, respectively. This feasibility study suggests that select consumer-grade wearable cardiovascular monitors can be used with children with autism and may be a promising means for tracking physiological stress or arousal responses in community settings. LAY SUMMARY: Commercially available heart rate trackers have the potential to advance stress research with individuals with autism. Due to sensory sensitivities common in autism, their comfort wearing such trackers is vital to gathering robust and valid data. After assessing six trackers with typically developing adults, we tested the best trackers (based on data quality) in typically developing children and children with autism and found that two of them met criteria for comfort, robustness, and validity. En ligne : http://dx.doi.org/10.1002/aur.2633 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450
in Autism Research > 15-1 (January 2022) . - p.117-130[article] Evaluating commercially available wireless cardiovascular monitors for measuring and transmitting real-time physiological responses in children with autism [Texte imprimé et/ou numérique] / H. J. NUSKE, Auteur ; M. S. GOODWIN, Auteur ; Y. KUSHLEYEVA, Auteur ; D. FORSYTH, Auteur ; J. W. PENNINGTON, Auteur ; A. J. MASINO, Auteur ; E. FINKEL, Auteur ; Arjun BHATTACHARYA, Auteur ; J. TAN, Auteur ; H. TAI, Auteur ; Z. ATKINSON-DIAZ, Auteur ; C. P. BONAFIDE, Auteur ; J. D. HERRINGTON, Auteur . - p.117-130.
Langues : Anglais (eng)
in Autism Research > 15-1 (January 2022) . - p.117-130
Mots-clés : Adult Autism Spectrum Disorder Autistic Disorder Child Fitness Trackers Heart Rate Humans Wearable Electronic Devices cardiovascular system feasibility studies heart rate physiologic monitoring physiological stress Index. décimale : PER Périodiques Résumé : Commercially available wearable biosensors have the potential to enhance psychophysiology research and digital health technologies for autism by enabling stress or arousal monitoring in naturalistic settings. However, such monitors may not be comfortable for children with autism due to sensory sensitivities. To determine the feasibility of wearable technology in children with autism age 8-12?years, we first selected six consumer-grade wireless cardiovascular monitors and tested them during rest and movement conditions in 23 typically developing adults. Subsequently, the best performing monitors (based on data quality robustness statistics), Polar and Mio Fuse, were evaluated in 32 children with autism and 23 typically developing children during a 2-h session, including rest and mild stress-inducing tasks. Cardiovascular data were recorded simultaneously across monitors using custom software. We administered the Comfort Rating Scales to children. Although the Polar monitor was less comfortable for children with autism than typically developing children, absolute scores demonstrated that, on average, all children found each monitor comfortable. For most children, data from the Mio Fuse (96%-100%) and Polar (83%-96%) passed quality thresholds of data robustness. Moreover, in the stress relative to rest condition, heart rate increased for the Polar, F(1,53) = 135.70, p?0.001, ?p(2) = 0.78, and Mio Fuse, F(1,53) = 71.98, p?0.001, ?p(2) = 0.61, respectively, and heart rate variability decreased for the Polar, F(1,53) = 13.41, p = 0.001, ?p(2) = 0.26, and Mio Fuse, F(1,53) = 8.89, p = 0.005, ?p(2) = 0.16, respectively. This feasibility study suggests that select consumer-grade wearable cardiovascular monitors can be used with children with autism and may be a promising means for tracking physiological stress or arousal responses in community settings. LAY SUMMARY: Commercially available heart rate trackers have the potential to advance stress research with individuals with autism. Due to sensory sensitivities common in autism, their comfort wearing such trackers is vital to gathering robust and valid data. After assessing six trackers with typically developing adults, we tested the best trackers (based on data quality) in typically developing children and children with autism and found that two of them met criteria for comfort, robustness, and validity. En ligne : http://dx.doi.org/10.1002/aur.2633 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 Predicting aggression to others in youth with autism using a wearable biosensor / M. S. GOODWIN in Autism Research, 12-8 (August 2019)
[article]
Titre : Predicting aggression to others in youth with autism using a wearable biosensor Type de document : Texte imprimé et/ou numérique Auteurs : M. S. GOODWIN, Auteur ; C. A. MAZEFSKY, Auteur ; S. IOANNIDIS, Auteur ; D. ERDOGMUS, Auteur ; M. SIEGEL, Auteur Article en page(s) : p.1286-1296 Langues : Anglais (eng) Mots-clés : aggression autism spectrum disorder autonomic nervous system biosensing techniques inpatients Index. décimale : PER Périodiques Résumé : Unpredictable and potentially dangerous aggressive behavior by youth with Autism Spectrum Disorder (ASD) can isolate them from foundational educational, social, and familial activities, thereby markedly exacerbating morbidity and costs associated with ASD. This study investigates whether preceding physiological and motion data measured by a wrist-worn biosensor can predict aggression to others by youth with ASD. We recorded peripheral physiological (cardiovascular and electrodermal activity) and motion (accelerometry) signals from a biosensor worn by 20 youth with ASD (ages 6-17 years, 75% male, 85% minimally verbal) during 69 independent naturalistic observation sessions with concurrent behavioral coding in a specialized inpatient psychiatry unit. We developed prediction models based on ridge-regularized logistic regression. Our results suggest that aggression to others can be predicted 1 min before it occurs using 3 min of prior biosensor data with an average area under the curve of 0.71 for a global model and 0.84 for person-dependent models. The biosensor was well tolerated, we obtained useable data in all cases, and no users withdrew from the study. Relatively high predictive accuracy was achieved using antecedent physiological and motion data. Larger trials are needed to further establish an ideal ratio of measurement density to predictive accuracy and reliability. These findings lay the groundwork for the future development of precursor behavior analysis and just-in-time adaptive intervention systems to prevent or mitigate the emergence, occurrence, and impact of aggression in ASD. Autism Res 2019, 12: 1286-1296. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Unpredictable aggression can create a barrier to accessing community, therapeutic, medical, and educational services. The present study evaluated whether data from a wearable biosensor can be used to predict aggression to others by youth with autism spectrum disorder (ASD). Results demonstrate that aggression to others can be predicted 1 min before it occurs with high accuracy, laying the groundwork for the future development of preemptive behavioral interventions and just-in-time adaptive intervention systems to prevent or mitigate the emergence, occurrence, and impact of aggression to others in ASD. En ligne : http://dx.doi.org/10.1002/aur.2151 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=405
in Autism Research > 12-8 (August 2019) . - p.1286-1296[article] Predicting aggression to others in youth with autism using a wearable biosensor [Texte imprimé et/ou numérique] / M. S. GOODWIN, Auteur ; C. A. MAZEFSKY, Auteur ; S. IOANNIDIS, Auteur ; D. ERDOGMUS, Auteur ; M. SIEGEL, Auteur . - p.1286-1296.
Langues : Anglais (eng)
in Autism Research > 12-8 (August 2019) . - p.1286-1296
Mots-clés : aggression autism spectrum disorder autonomic nervous system biosensing techniques inpatients Index. décimale : PER Périodiques Résumé : Unpredictable and potentially dangerous aggressive behavior by youth with Autism Spectrum Disorder (ASD) can isolate them from foundational educational, social, and familial activities, thereby markedly exacerbating morbidity and costs associated with ASD. This study investigates whether preceding physiological and motion data measured by a wrist-worn biosensor can predict aggression to others by youth with ASD. We recorded peripheral physiological (cardiovascular and electrodermal activity) and motion (accelerometry) signals from a biosensor worn by 20 youth with ASD (ages 6-17 years, 75% male, 85% minimally verbal) during 69 independent naturalistic observation sessions with concurrent behavioral coding in a specialized inpatient psychiatry unit. We developed prediction models based on ridge-regularized logistic regression. Our results suggest that aggression to others can be predicted 1 min before it occurs using 3 min of prior biosensor data with an average area under the curve of 0.71 for a global model and 0.84 for person-dependent models. The biosensor was well tolerated, we obtained useable data in all cases, and no users withdrew from the study. Relatively high predictive accuracy was achieved using antecedent physiological and motion data. Larger trials are needed to further establish an ideal ratio of measurement density to predictive accuracy and reliability. These findings lay the groundwork for the future development of precursor behavior analysis and just-in-time adaptive intervention systems to prevent or mitigate the emergence, occurrence, and impact of aggression in ASD. Autism Res 2019, 12: 1286-1296. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Unpredictable aggression can create a barrier to accessing community, therapeutic, medical, and educational services. The present study evaluated whether data from a wearable biosensor can be used to predict aggression to others by youth with autism spectrum disorder (ASD). Results demonstrate that aggression to others can be predicted 1 min before it occurs with high accuracy, laying the groundwork for the future development of preemptive behavioral interventions and just-in-time adaptive intervention systems to prevent or mitigate the emergence, occurrence, and impact of aggression to others in ASD. En ligne : http://dx.doi.org/10.1002/aur.2151 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=405 Visual Exploration in Autism Spectrum Disorder: Exploring Age Differences and Dynamic Features Using Recurrence Quantification Analysis / N. V. MANYAKOV in Autism Research, 11-11 (November 2018)
[article]
Titre : Visual Exploration in Autism Spectrum Disorder: Exploring Age Differences and Dynamic Features Using Recurrence Quantification Analysis Type de document : Texte imprimé et/ou numérique Auteurs : N. V. MANYAKOV, Auteur ; Abigail BANGERTER, Auteur ; Meenakshi CHATTERJEE, Auteur ; L. MASON, Auteur ; S. NESS, Auteur ; D. LEWIN, Auteur ; A. SKALKIN, Auteur ; Matthew A. BOICE, Auteur ; M. S. GOODWIN, Auteur ; G. DAWSON, Auteur ; R. HENDREN, Auteur ; B. LEVENTHAL, Auteur ; F. SHIC, Auteur ; Gahan PANDINA, Auteur Article en page(s) : p.1554-1566 Langues : Anglais (eng) Mots-clés : *autism spectrum disorder *biomarkers *eye-tracking *recurrence quantification analysis *restricted repetitive behavior *visual exploration Index. décimale : PER Périodiques Résumé : Eye-tracking studies have demonstrated that individuals with autism spectrum disorder sometimes show differences in attention and gaze patterns. This includes preference for certain nonsocial objects, heightened attention to detail, and more difficulty with attention shifting and disengagement, which may be associated with restricted and repetitive behaviors. This study utilized a visual exploration task and replicates findings of reduced number of objects explored and increased fixation duration on high autism interest objects in a large sample of individuals with autism spectrum disorder (n = 129, age 6-54 years) in comparison with a typically developing group. These findings correlated with parent-reported repetitive behaviors. Additionally, we applied recurrent quantification analysis to enable identification of new eye-tracking features, which accounted for temporal and spatial differences in viewing patterns. These new features were found to discriminate between autism spectrum disorder and typically developing groups and were correlated with parent-reported repetitive behaviors. Original and novel eye-tracking features identified by recurrent quantification analysis differed in their relationships to reported behaviors and were dependent on age. Trial Registration: NCT02299700. Autism Research 2018, 11: 1554-1566. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Using eye-tracking technology and a visual exploration task, we showed that people with autism spectrum disorder (ASD) spend more time looking at particular kinds of objects, like trains and clocks, and look at fewer objects overall than people without ASD. Where people look and the order in which they look at objects were related to the restricted and repetitive behaviors reported by parents. Eye-tracking may be a useful addition to parent reports for measuring changes in behavior in individuals with ASD. En ligne : http://dx.doi.org/10.1002/aur.2021 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=370
in Autism Research > 11-11 (November 2018) . - p.1554-1566[article] Visual Exploration in Autism Spectrum Disorder: Exploring Age Differences and Dynamic Features Using Recurrence Quantification Analysis [Texte imprimé et/ou numérique] / N. V. MANYAKOV, Auteur ; Abigail BANGERTER, Auteur ; Meenakshi CHATTERJEE, Auteur ; L. MASON, Auteur ; S. NESS, Auteur ; D. LEWIN, Auteur ; A. SKALKIN, Auteur ; Matthew A. BOICE, Auteur ; M. S. GOODWIN, Auteur ; G. DAWSON, Auteur ; R. HENDREN, Auteur ; B. LEVENTHAL, Auteur ; F. SHIC, Auteur ; Gahan PANDINA, Auteur . - p.1554-1566.
Langues : Anglais (eng)
in Autism Research > 11-11 (November 2018) . - p.1554-1566
Mots-clés : *autism spectrum disorder *biomarkers *eye-tracking *recurrence quantification analysis *restricted repetitive behavior *visual exploration Index. décimale : PER Périodiques Résumé : Eye-tracking studies have demonstrated that individuals with autism spectrum disorder sometimes show differences in attention and gaze patterns. This includes preference for certain nonsocial objects, heightened attention to detail, and more difficulty with attention shifting and disengagement, which may be associated with restricted and repetitive behaviors. This study utilized a visual exploration task and replicates findings of reduced number of objects explored and increased fixation duration on high autism interest objects in a large sample of individuals with autism spectrum disorder (n = 129, age 6-54 years) in comparison with a typically developing group. These findings correlated with parent-reported repetitive behaviors. Additionally, we applied recurrent quantification analysis to enable identification of new eye-tracking features, which accounted for temporal and spatial differences in viewing patterns. These new features were found to discriminate between autism spectrum disorder and typically developing groups and were correlated with parent-reported repetitive behaviors. Original and novel eye-tracking features identified by recurrent quantification analysis differed in their relationships to reported behaviors and were dependent on age. Trial Registration: NCT02299700. Autism Research 2018, 11: 1554-1566. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Using eye-tracking technology and a visual exploration task, we showed that people with autism spectrum disorder (ASD) spend more time looking at particular kinds of objects, like trains and clocks, and look at fewer objects overall than people without ASD. Where people look and the order in which they look at objects were related to the restricted and repetitive behaviors reported by parents. Eye-tracking may be a useful addition to parent reports for measuring changes in behavior in individuals with ASD. En ligne : http://dx.doi.org/10.1002/aur.2021 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=370 Visual Preference for Biological Motion in Children and Adults with Autism Spectrum Disorder: An Eye-Tracking Study / Dzmitry A. KALIUKHOVICH in Journal of Autism and Developmental Disorders, 51-7 (July 2021)