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Auteur Gahan PANDINA |
Documents disponibles écrits par cet auteur (11)
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Automated recognition of spontaneous facial expression in individuals with autism spectrum disorder: parsing response variability / Abigail BANGERTER in Molecular Autism, 11 (2020)
[article]
Titre : Automated recognition of spontaneous facial expression in individuals with autism spectrum disorder: parsing response variability Type de document : Texte imprimé et/ou numérique Auteurs : Abigail BANGERTER, Auteur ; Meenakshi CHATTERJEE, Auteur ; Joseph MANFREDONIA, Auteur ; Nikolay V. MANYAKOV, Auteur ; Seth NESS, Auteur ; Matthew A. BOICE, Auteur ; Andrew SKALKIN, Auteur ; Matthew S GOODWIN, Auteur ; Geraldine DAWSON, Auteur ; Robert HENDREN, Auteur ; Bennett L. LEVENTHAL, Auteur ; Frederick SHIC, Auteur ; Gahan PANDINA, Auteur Article en page(s) : 31 p. Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Emotional regulation Emotions Facial expression Impulsive behavior LLC, and may hold company equity. AS was an employee of Janssen Research & Development at the time of the study. MSG has received research and consulting funding from Janssen Research & Development. GD is on the Scientific Advisory Boards of Janssen Research & Development Akili, Inc. LabCorp, Inc. and Roche Pharmaceutical Company is a consultant for Apple, Inc Gerson Lehrman Group Guidepoint, Inc. and Axial Ventures has received grant funding from Janssen Research & Development and is the CEO of DASIO, LLC. GD receives royalties from Guilford Press, Springer, and Oxford University Press. RH received reimbursement for consultation from Janssen Research & Development. BL has received research grant funding from the NIH is a consultant to Janssen Research & Development, the Illinois Children’s Healthcare Foundation and is a board member of the Brain Research Foundation. FS is on the Scientific Advisory Board, is a consultant to and received grant funding from Janssen Research & Development, and has also received grant funding from Roche. Index. décimale : PER Périodiques Résumé : BACKGROUND: Reduction or differences in facial expression are a core diagnostic feature of autism spectrum disorder (ASD), yet evidence regarding the extent of this discrepancy is limited and inconsistent. Use of automated facial expression detection technology enables accurate and efficient tracking of facial expressions that has potential to identify individual response differences. METHODS: Children and adults with ASD (N = 124) and typically developing (TD, N = 41) were shown short clips of "funny videos." Using automated facial analysis software, we investigated differences between ASD and TD groups and within the ASD group in evidence of facial action unit (AU) activation related to the expression of positive facial expression, in particular, a smile. RESULTS: Individuals with ASD on average showed less evidence of facial AUs (AU12, AU6) relating to positive facial expression, compared to the TD group (p < .05, r = -?0.17). Using Gaussian mixture model for clustering, we identified two distinct distributions within the ASD group, which were then compared to the TD group. One subgroup (n = 35), termed "over-responsive," expressed more intense positive facial expressions in response to the videos than the TD group (p < .001, r = 0.31). The second subgroup (n = 89), ("under-responsive"), displayed fewer, less intense positive facial expressions in response to videos than the TD group (p < .001; r = -?0.36). The over-responsive subgroup differed from the under-responsive subgroup in age and caregiver-reported impulsivity (p < .05, r = 0.21). Reduced expression in the under-responsive, but not the over-responsive group, was related to caregiver-reported social withdrawal (p < .01, r = -?0.3). LIMITATIONS: This exploratory study does not account for multiple comparisons, and future work will have to ascertain the strength and reproducibility of all results. Reduced displays of positive facial expressions do not mean individuals with ASD do not experience positive emotions. CONCLUSIONS: Individuals with ASD differed from the TD group in their facial expressions of positive emotion in response to "funny videos." Identification of subgroups based on response may help in parsing heterogeneity in ASD and enable targeting of treatment based on subtypes. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02299700. Registration date: November 24, 2014. En ligne : http://dx.doi.org/10.1186/s13229-020-00327-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427
in Molecular Autism > 11 (2020) . - 31 p.[article] Automated recognition of spontaneous facial expression in individuals with autism spectrum disorder: parsing response variability [Texte imprimé et/ou numérique] / Abigail BANGERTER, Auteur ; Meenakshi CHATTERJEE, Auteur ; Joseph MANFREDONIA, Auteur ; Nikolay V. MANYAKOV, Auteur ; Seth NESS, Auteur ; Matthew A. BOICE, Auteur ; Andrew SKALKIN, Auteur ; Matthew S GOODWIN, Auteur ; Geraldine DAWSON, Auteur ; Robert HENDREN, Auteur ; Bennett L. LEVENTHAL, Auteur ; Frederick SHIC, Auteur ; Gahan PANDINA, Auteur . - 31 p.
Langues : Anglais (eng)
in Molecular Autism > 11 (2020) . - 31 p.
Mots-clés : Autism spectrum disorder Emotional regulation Emotions Facial expression Impulsive behavior LLC, and may hold company equity. AS was an employee of Janssen Research & Development at the time of the study. MSG has received research and consulting funding from Janssen Research & Development. GD is on the Scientific Advisory Boards of Janssen Research & Development Akili, Inc. LabCorp, Inc. and Roche Pharmaceutical Company is a consultant for Apple, Inc Gerson Lehrman Group Guidepoint, Inc. and Axial Ventures has received grant funding from Janssen Research & Development and is the CEO of DASIO, LLC. GD receives royalties from Guilford Press, Springer, and Oxford University Press. RH received reimbursement for consultation from Janssen Research & Development. BL has received research grant funding from the NIH is a consultant to Janssen Research & Development, the Illinois Children’s Healthcare Foundation and is a board member of the Brain Research Foundation. FS is on the Scientific Advisory Board, is a consultant to and received grant funding from Janssen Research & Development, and has also received grant funding from Roche. Index. décimale : PER Périodiques Résumé : BACKGROUND: Reduction or differences in facial expression are a core diagnostic feature of autism spectrum disorder (ASD), yet evidence regarding the extent of this discrepancy is limited and inconsistent. Use of automated facial expression detection technology enables accurate and efficient tracking of facial expressions that has potential to identify individual response differences. METHODS: Children and adults with ASD (N = 124) and typically developing (TD, N = 41) were shown short clips of "funny videos." Using automated facial analysis software, we investigated differences between ASD and TD groups and within the ASD group in evidence of facial action unit (AU) activation related to the expression of positive facial expression, in particular, a smile. RESULTS: Individuals with ASD on average showed less evidence of facial AUs (AU12, AU6) relating to positive facial expression, compared to the TD group (p < .05, r = -?0.17). Using Gaussian mixture model for clustering, we identified two distinct distributions within the ASD group, which were then compared to the TD group. One subgroup (n = 35), termed "over-responsive," expressed more intense positive facial expressions in response to the videos than the TD group (p < .001, r = 0.31). The second subgroup (n = 89), ("under-responsive"), displayed fewer, less intense positive facial expressions in response to videos than the TD group (p < .001; r = -?0.36). The over-responsive subgroup differed from the under-responsive subgroup in age and caregiver-reported impulsivity (p < .05, r = 0.21). Reduced expression in the under-responsive, but not the over-responsive group, was related to caregiver-reported social withdrawal (p < .01, r = -?0.3). LIMITATIONS: This exploratory study does not account for multiple comparisons, and future work will have to ascertain the strength and reproducibility of all results. Reduced displays of positive facial expressions do not mean individuals with ASD do not experience positive emotions. CONCLUSIONS: Individuals with ASD differed from the TD group in their facial expressions of positive emotion in response to "funny videos." Identification of subgroups based on response may help in parsing heterogeneity in ASD and enable targeting of treatment based on subtypes. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02299700. Registration date: November 24, 2014. En ligne : http://dx.doi.org/10.1186/s13229-020-00327-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427 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 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)
Context Modulates Attention to Faces in Dynamic Social Scenes in Children and Adults with Autism Spectrum Disorder / Dzmitry A. KALIUKHOVICH in Journal of Autism and Developmental Disorders, 52-10 (October 2022)
[article]
Titre : Context Modulates Attention to Faces in Dynamic Social Scenes in Children and Adults with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Dzmitry A. KALIUKHOVICH, Auteur ; Nikolay V. MANYAKOV, Auteur ; Abigail BANGERTER, Auteur ; Gahan PANDINA, Auteur Article en page(s) : p.4219-4232 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Biomarkers Eye-tracking Faces Social attention stocks/stock options. The authors have no relevant non-financial interests to disclose. Index. décimale : PER Périodiques Résumé : Individuals with autism spectrum disorder (ASD) have been found to view social scenes differently compared to typically developing (TD) peers, but results can vary depending on context and age. We used eye-tracking in children and adults (age 6-63) to assess allocation of visual attention in a dynamic social orientation paradigm previously used only in younger children. The ASD group (n=94) looked less at the actor's face compared to TD (n=38) when they were engaged in activity (mean percentage of looking time, ASD=30.7% vs TD=34.9%; Cohen's d=0.56; p value<0.03) or looking at a moving toy (24.5% vs 33.2%; d=0.65; p value<0.001). Findings indicate that there are qualitative differences in allocation of visual attention to social stimuli across ages in ASD.ClinicalTrials.gov identifier: NCT02668991. En ligne : http://dx.doi.org/10.1007/s10803-021-05279-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486
in Journal of Autism and Developmental Disorders > 52-10 (October 2022) . - p.4219-4232[article] Context Modulates Attention to Faces in Dynamic Social Scenes in Children and Adults with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Dzmitry A. KALIUKHOVICH, Auteur ; Nikolay V. MANYAKOV, Auteur ; Abigail BANGERTER, Auteur ; Gahan PANDINA, Auteur . - p.4219-4232.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 52-10 (October 2022) . - p.4219-4232
Mots-clés : Autism spectrum disorder Biomarkers Eye-tracking Faces Social attention stocks/stock options. The authors have no relevant non-financial interests to disclose. Index. décimale : PER Périodiques Résumé : Individuals with autism spectrum disorder (ASD) have been found to view social scenes differently compared to typically developing (TD) peers, but results can vary depending on context and age. We used eye-tracking in children and adults (age 6-63) to assess allocation of visual attention in a dynamic social orientation paradigm previously used only in younger children. The ASD group (n=94) looked less at the actor's face compared to TD (n=38) when they were engaged in activity (mean percentage of looking time, ASD=30.7% vs TD=34.9%; Cohen's d=0.56; p value<0.03) or looking at a moving toy (24.5% vs 33.2%; d=0.65; p value<0.001). Findings indicate that there are qualitative differences in allocation of visual attention to social stimuli across ages in ASD.ClinicalTrials.gov identifier: NCT02668991. En ligne : http://dx.doi.org/10.1007/s10803-021-05279-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 Risperidone Improves Behavioral Symptoms in Children with Autism in a Randomized, Double-Blind, Placebo-Controlled Trial / Gahan PANDINA in Journal of Autism and Developmental Disorders, 37-2 (February 2007)
[article]
Titre : Risperidone Improves Behavioral Symptoms in Children with Autism in a Randomized, Double-Blind, Placebo-Controlled Trial Type de document : Texte imprimé et/ou numérique Auteurs : Gahan PANDINA, Auteur ; Cynthia A. BOSSIE, Auteur ; Eriene YOUSSEF, Auteur ; Young ZHU, Auteur ; Fiona DUNBAR, Auteur Année de publication : 2007 Article en page(s) : p.367-373 Langues : Anglais (eng) Mots-clés : Autism Risperidone Behavioral-symptoms Hyperactivity Irritability Safety Index. décimale : PER Périodiques Résumé : Subgroup analysis of children (5–12 years) with autism enrolled in an 8-week, double-blind, placebo-controlled trial of risperidone for pervasive developmental disorders. The primary efficacy measure was the Aberrant Behavior Checklist-Irritability (ABC-I) subscale. Data were available for 55 children given risperidone (n = 27) or placebo (n = 28); mean baseline ABC-I ( ± SD) was 20.6 (8.1) and 21.6 (10.2). Risperidone [mean dose ( ± SD): 1.37 mg/day (0.7)] resulted in significantly greater reduction from baseline to endpoint in ABC-I versus placebo [mean change ( ± SD): −13.4 (1.5) vs. −7.2 (1.4), P < 0.05; ES = −0.7]. The most common adverse effect with risperidone was somnolence (74% vs. 7% with placebo). Risperidone treatment was well tolerated and significantly improved behavioral problems associated with autism. En ligne : http://dx.doi.org/10.1007/s10803-006-0234-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=641
in Journal of Autism and Developmental Disorders > 37-2 (February 2007) . - p.367-373[article] Risperidone Improves Behavioral Symptoms in Children with Autism in a Randomized, Double-Blind, Placebo-Controlled Trial [Texte imprimé et/ou numérique] / Gahan PANDINA, Auteur ; Cynthia A. BOSSIE, Auteur ; Eriene YOUSSEF, Auteur ; Young ZHU, Auteur ; Fiona DUNBAR, Auteur . - 2007 . - p.367-373.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 37-2 (February 2007) . - p.367-373
Mots-clés : Autism Risperidone Behavioral-symptoms Hyperactivity Irritability Safety Index. décimale : PER Périodiques Résumé : Subgroup analysis of children (5–12 years) with autism enrolled in an 8-week, double-blind, placebo-controlled trial of risperidone for pervasive developmental disorders. The primary efficacy measure was the Aberrant Behavior Checklist-Irritability (ABC-I) subscale. Data were available for 55 children given risperidone (n = 27) or placebo (n = 28); mean baseline ABC-I ( ± SD) was 20.6 (8.1) and 21.6 (10.2). Risperidone [mean dose ( ± SD): 1.37 mg/day (0.7)] resulted in significantly greater reduction from baseline to endpoint in ABC-I versus placebo [mean change ( ± SD): −13.4 (1.5) vs. −7.2 (1.4), P < 0.05; ES = −0.7]. The most common adverse effect with risperidone was somnolence (74% vs. 7% with placebo). Risperidone treatment was well tolerated and significantly improved behavioral problems associated with autism. En ligne : http://dx.doi.org/10.1007/s10803-006-0234-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=641 Sensory salience processing moderates attenuated gazes on faces in autism spectrum disorder: a case-control study / Luke MASON ; Christine ECKER ; Sarah BAUMEISTER ; Tobias BANASCHEWSKI ; Emily J. H. JONES ; Declan G. M. MURPHY ; Jan K. BUITELAAR ; Eva LOTH ; Gahan PANDINA ; Christine M. FREITAG in Molecular Autism, 14 (2023)
PermalinkSocial attention to activities in children and adults with autism spectrum disorder: effects of context and age / Dzmitry A. KALIUKHOVICH in Molecular Autism, 11 (2020)
PermalinkThe EU-AIMS Longitudinal European Autism Project (LEAP): clinical characterisation / Tony CHARMAN in Molecular Autism, 8 (2017)
PermalinkThe EU-AIMS Longitudinal European Autism Project (LEAP): design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders / E. LOTH in Molecular Autism, 8 (2017)
PermalinkVisual 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)
PermalinkVisual 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)
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