Automated recognition of spontaneous facial expression in individuals with autism spectrum disorder: parsing response variability / Abigail BANGERTER in Molecular Autism, 11 (2020)  

Public ISBD [article]  inMolecular Autism > 11 (2020) . - 31 p. 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 [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

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)  

Public ISBD [article]  inAutism Research > 11-11 (November 2018) . - p.1554-1566 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 [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

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