Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children? / Martin G. FRASCH in Journal of Autism and Developmental Disorders, 51-1 (January 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-1 (January 2021) . - p.346-356 Titre : Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children? Type de document : Texte imprimé et/ou numérique Auteurs : Martin G. FRASCH, Auteur ; Chao SHEN, Auteur ; Hau-Tieng WU, Auteur ; Alexander MUELLER, Auteur ; Emily NEUHAUS, Auteur ; Raphael BERNIER, Auteur ; Dana KAMARA, Auteur ; Theodore P. BEAUCHAINE, Auteur Article en page(s) : p.346-356 Langues : Anglais (eng) Mots-clés : Biomarker  Electrocardiogram  Heart rate variability Index. décimale : PER Périodiques Résumé : Several studies show altered heart rate variability (HRV) in autism spectrum disorder (ASD), but findings are neither universal nor specific to ASD. We apply a set of linear and nonlinear HRV measures-including phase rectified signal averaging-to segments of resting ECG data collected from school-age children with ASD, age-matched typically developing controls, and children with other psychiatric conditions characterized by altered HRV (conduct disorder, depression). We use machine learning to identify time, frequency, and geometric signal-analytical domains that are specific to ASD (receiver operating curve area?=?0.89). This is the first study to differentiate children with ASD from other disorders characterized by altered HRV. Despite a small cohort and lack of external validation, results warrant larger prospective studies. En ligne : http://dx.doi.org/10.1007/s10803-020-04467-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438 [article] Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children? [Texte imprimé et/ou numérique] / Martin G. FRASCH, Auteur ; Chao SHEN, Auteur ; Hau-Tieng WU, Auteur ; Alexander MUELLER, Auteur ; Emily NEUHAUS, Auteur ; Raphael BERNIER, Auteur ; Dana KAMARA, Auteur ; Theodore P. BEAUCHAINE, Auteur . - p.346-356. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-1 (January 2021) . - p.346-356 Mots-clés : Biomarker  Electrocardiogram  Heart rate variability Index. décimale : PER Périodiques Résumé : Several studies show altered heart rate variability (HRV) in autism spectrum disorder (ASD), but findings are neither universal nor specific to ASD. We apply a set of linear and nonlinear HRV measures-including phase rectified signal averaging-to segments of resting ECG data collected from school-age children with ASD, age-matched typically developing controls, and children with other psychiatric conditions characterized by altered HRV (conduct disorder, depression). We use machine learning to identify time, frequency, and geometric signal-analytical domains that are specific to ASD (receiver operating curve area?=?0.89). This is the first study to differentiate children with ASD from other disorders characterized by altered HRV. Despite a small cohort and lack of external validation, results warrant larger prospective studies. En ligne : http://dx.doi.org/10.1007/s10803-020-04467-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438

Characterizing Sleep Problems in 16p11.2 Deletion and Duplication / Dana KAMARA in Journal of Autism and Developmental Disorders, 53-4 (April 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-4 (April 2023) . - p.1462-1475 Titre : Characterizing Sleep Problems in 16p11.2 Deletion and Duplication Type de document : Texte imprimé et/ou numérique Auteurs : Dana KAMARA, Auteur ; Paul DE BOECK, Auteur ; Luc LECAVALIER, Auteur ; Emily NEUHAUS, Auteur ; Theodore P. BEAUCHAINE, Auteur Article en page(s) : p.1462-1475 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Studies of 16p11.2 copy number variants (CNVs) provide an avenue to identify mechanisms of impairment and develop targeted treatments for individuals with neurodevelopmental disorders. 16p11.2 deletion and duplication phenotypes are currently being ascertained; however, sleep disturbances are minimally described. In this study, we examine sleep disturbance in a well-characterized national sample of 16p11.2 CNVs, the Simons Foundation Autism Research Initiative (SFARI) database of youth and adults (n=692). Factor analyses and multilevel models of derived sleep questionnaires for youth (n=345) and adults (n=347) indicate that 16p11.2 carriers show elevated sleep disturbance relative to community controls. Non-carrier family members also show elevated sleep disturbance. However, sleep duration does not differ between carriers and controls. Further studies of sleep in 16p11.2 are needed. En ligne : https://doi.org/10.1007/s10803-021-05311-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=500 [article] Characterizing Sleep Problems in 16p11.2 Deletion and Duplication [Texte imprimé et/ou numérique] / Dana KAMARA, Auteur ; Paul DE BOECK, Auteur ; Luc LECAVALIER, Auteur ; Emily NEUHAUS, Auteur ; Theodore P. BEAUCHAINE, Auteur . - p.1462-1475. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-4 (April 2023) . - p.1462-1475 Index. décimale : PER Périodiques Résumé : Studies of 16p11.2 copy number variants (CNVs) provide an avenue to identify mechanisms of impairment and develop targeted treatments for individuals with neurodevelopmental disorders. 16p11.2 deletion and duplication phenotypes are currently being ascertained; however, sleep disturbances are minimally described. In this study, we examine sleep disturbance in a well-characterized national sample of 16p11.2 CNVs, the Simons Foundation Autism Research Initiative (SFARI) database of youth and adults (n=692). Factor analyses and multilevel models of derived sleep questionnaires for youth (n=345) and adults (n=347) indicate that 16p11.2 carriers show elevated sleep disturbance relative to community controls. Non-carrier family members also show elevated sleep disturbance. However, sleep duration does not differ between carriers and controls. Further studies of sleep in 16p11.2 are needed. En ligne : https://doi.org/10.1007/s10803-021-05311-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=500

The Effects of Face Expertise Training on the Behavioral Performance and Brain Activity of Adults with High Functioning Autism Spectrum Disorders / Susan FAJA in Journal of Autism and Developmental Disorders, 42-2 (February 2012)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 42-2 (February 2012) . - p.278-293 Titre : The Effects of Face Expertise Training on the Behavioral Performance and Brain Activity of Adults with High Functioning Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Susan FAJA, Auteur ; Sara Jane WEBB, Auteur ; Emily A. JONES, Auteur ; Kristen MERKLE, Auteur ; Dana KAMARA, Auteur ; Joshua BAVARO, Auteur ; Elizabeth H. AYLWARD, Auteur ; Geraldine DAWSON, Auteur Année de publication : 2012 Article en page(s) : p.278-293 Langues : Anglais (eng) Mots-clés : ASD  Face processing  Training  Intervention  ERPs  N170 Index. décimale : PER Périodiques Résumé : The effect of expertise training with faces was studied in adults with ASD who showed initial impairment in face recognition. Participants were randomly assigned to a computerized training program involving either faces or houses. Pre- and post-testing included standardized and experimental measures of behavior and event-related brain potentials (ERPs), as well as interviews after training. After training, all participants met behavioral criteria for expertise with the specific stimuli on which they received training. Scores on standardized measures improved after training for both groups, but only the face training group showed an increased face inversion effect behaviorally and electrophysiological changes to faces in the P100 component. These findings suggest that individuals with ASD can gain expertise in face processing through training. En ligne : http://dx.doi.org/10.1007/s10803-011-1243-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=151 [article] The Effects of Face Expertise Training on the Behavioral Performance and Brain Activity of Adults with High Functioning Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Susan FAJA, Auteur ; Sara Jane WEBB, Auteur ; Emily A. JONES, Auteur ; Kristen MERKLE, Auteur ; Dana KAMARA, Auteur ; Joshua BAVARO, Auteur ; Elizabeth H. AYLWARD, Auteur ; Geraldine DAWSON, Auteur . - 2012 . - p.278-293. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 42-2 (February 2012) . - p.278-293 Mots-clés : ASD  Face processing  Training  Intervention  ERPs  N170 Index. décimale : PER Périodiques Résumé : The effect of expertise training with faces was studied in adults with ASD who showed initial impairment in face recognition. Participants were randomly assigned to a computerized training program involving either faces or houses. Pre- and post-testing included standardized and experimental measures of behavior and event-related brain potentials (ERPs), as well as interviews after training. After training, all participants met behavioral criteria for expertise with the specific stimuli on which they received training. Scores on standardized measures improved after training for both groups, but only the face training group showed an increased face inversion effect behaviorally and electrophysiological changes to faces in the P100 component. These findings suggest that individuals with ASD can gain expertise in face processing through training. En ligne : http://dx.doi.org/10.1007/s10803-011-1243-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=151

Using automated computer vision and machine learning to code facial expressions of affect and arousal: Implications for emotion dysregulation research / Nathaniel HAINES in Development and Psychopathology, 31-3 (August 2019)  

Public ISBD [article]  inDevelopment and Psychopathology > 31-3 (August 2019) . - p.871-886 Titre : Using automated computer vision and machine learning to code facial expressions of affect and arousal: Implications for emotion dysregulation research Type de document : Texte imprimé et/ou numérique Auteurs : Nathaniel HAINES, Auteur ; Ziv BELL, Auteur ; Sheila CROWELL, Auteur ; Hunter HAHN, Auteur ; Dana KAMARA, Auteur ; Heather MCDONOUGH-CAPLAN, Auteur ; Tiffany SHADER, Auteur ; Theodore P. BEAUCHAINE, Auteur Article en page(s) : p.871-886 Langues : Anglais (eng) Mots-clés : arousal  emotion dysregulation  facial expression  negative valence system  positive valence system Index. décimale : PER Périodiques Résumé : As early as infancy, caregivers’ facial expressions shape children's behaviors, help them regulate their emotions, and encourage or dissuade their interpersonal agency. In childhood and adolescence, proficiencies in producing and decoding facial expressions promote social competence, whereas deficiencies characterize several forms of psychopathology. To date, however, studying facial expressions has been hampered by the labor-intensive, time-consuming nature of human coding. We describe a partial solution: automated facial expression coding (AFEC), which combines computer vision and machine learning to code facial expressions in real time. Although AFEC cannot capture the full complexity of human emotion, it codes positive affect, negative affect, and arousal—core Research Domain Criteria constructs—as accurately as humans, and it characterizes emotion dysregulation with greater specificity than other objective measures such as autonomic responding. We provide an example in which we use AFEC to evaluate emotion dynamics in mother–daughter dyads engaged in conflict. Among other findings, AFEC (a) shows convergent validity with a validated human coding scheme, (b) distinguishes among risk groups, and (c) detects developmental increases in positive dyadic affect correspondence as teen daughters age. Although more research is needed to realize the full potential of AFEC, findings demonstrate its current utility in research on emotion dysregulation. En ligne : http://dx.doi.org/10.1017/S0954579419000312 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=403 [article] Using automated computer vision and machine learning to code facial expressions of affect and arousal: Implications for emotion dysregulation research [Texte imprimé et/ou numérique] / Nathaniel HAINES, Auteur ; Ziv BELL, Auteur ; Sheila CROWELL, Auteur ; Hunter HAHN, Auteur ; Dana KAMARA, Auteur ; Heather MCDONOUGH-CAPLAN, Auteur ; Tiffany SHADER, Auteur ; Theodore P. BEAUCHAINE, Auteur . - p.871-886. Langues : Anglais (eng) in Development and Psychopathology > 31-3 (August 2019) . - p.871-886 Mots-clés : arousal  emotion dysregulation  facial expression  negative valence system  positive valence system Index. décimale : PER Périodiques Résumé : As early as infancy, caregivers’ facial expressions shape children's behaviors, help them regulate their emotions, and encourage or dissuade their interpersonal agency. In childhood and adolescence, proficiencies in producing and decoding facial expressions promote social competence, whereas deficiencies characterize several forms of psychopathology. To date, however, studying facial expressions has been hampered by the labor-intensive, time-consuming nature of human coding. We describe a partial solution: automated facial expression coding (AFEC), which combines computer vision and machine learning to code facial expressions in real time. Although AFEC cannot capture the full complexity of human emotion, it codes positive affect, negative affect, and arousal—core Research Domain Criteria constructs—as accurately as humans, and it characterizes emotion dysregulation with greater specificity than other objective measures such as autonomic responding. We provide an example in which we use AFEC to evaluate emotion dynamics in mother–daughter dyads engaged in conflict. Among other findings, AFEC (a) shows convergent validity with a validated human coding scheme, (b) distinguishes among risk groups, and (c) detects developmental increases in positive dyadic affect correspondence as teen daughters age. Although more research is needed to realize the full potential of AFEC, findings demonstrate its current utility in research on emotion dysregulation. En ligne : http://dx.doi.org/10.1017/S0954579419000312 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=403

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