18 recherche sur le mot-clé 'Facial Recognition'

Effects of Emotional Music on Facial Emotion Recognition in Children with Autism Spectrum Disorder (ASD) / G. L. WAGENER in Journal of Autism and Developmental Disorders, 51-9 (September 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-9 (September 2021) . - p.3256-3265 Titre : Effects of Emotional Music on Facial Emotion Recognition in Children with Autism Spectrum Disorder (ASD) Type de document : Texte imprimé et/ou numérique Auteurs : G. L. WAGENER, Auteur ; M. BERNING, Auteur ; Andreia P. COSTA, Auteur ; G. STEFFGEN, Auteur ; A. MELZER, Auteur Article en page(s) : p.3256-3265 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder  Child  Emotions  Facial Expression  Facial Recognition  Humans  Music  Autism spectrum disorder  Children  Emotion recognition  Facial recognition task Index. décimale : PER Périodiques Résumé : Impaired facial emotion recognition in children with Autism Spectrum Disorder (ASD) is in contrast to their intact emotional music recognition. This study tested whether emotion congruent music enhances facial emotion recognition. Accuracy and reaction times were assessed for 19 children with ASD and 31 controls in a recognition task with angry, happy, or sad faces. Stimuli were shown with either emotionally congruent or incongruent music or no music. Although children with ASD had higher reaction times than controls, accuracy only differed when incongruent or no music was played, indicating that congruent emotional music can boost facial emotion recognition in children with ASD. Emotion congruent music may support emotion recognition in children with ASD, and thus may improve their social skills. En ligne : http://dx.doi.org/10.1007/s10803-020-04781-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453 [article] Effects of Emotional Music on Facial Emotion Recognition in Children with Autism Spectrum Disorder (ASD) [Texte imprimé et/ou numérique] / G. L. WAGENER, Auteur ; M. BERNING, Auteur ; Andreia P. COSTA, Auteur ; G. STEFFGEN, Auteur ; A. MELZER, Auteur . - p.3256-3265. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-9 (September 2021) . - p.3256-3265 Mots-clés : Autism Spectrum Disorder  Child  Emotions  Facial Expression  Facial Recognition  Humans  Music  Autism spectrum disorder  Children  Emotion recognition  Facial recognition task Index. décimale : PER Périodiques Résumé : Impaired facial emotion recognition in children with Autism Spectrum Disorder (ASD) is in contrast to their intact emotional music recognition. This study tested whether emotion congruent music enhances facial emotion recognition. Accuracy and reaction times were assessed for 19 children with ASD and 31 controls in a recognition task with angry, happy, or sad faces. Stimuli were shown with either emotionally congruent or incongruent music or no music. Although children with ASD had higher reaction times than controls, accuracy only differed when incongruent or no music was played, indicating that congruent emotional music can boost facial emotion recognition in children with ASD. Emotion congruent music may support emotion recognition in children with ASD, and thus may improve their social skills. En ligne : http://dx.doi.org/10.1007/s10803-020-04781-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453

Differences Between Autistic and Non-Autistic Adults in the Recognition of Anger from Facial Motion Remain after Controlling for Alexithymia / Connor T. KEATING in Journal of Autism and Developmental Disorders, 52-4 (April 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-4 (April 2022) . - p.1855-1871 Titre : Differences Between Autistic and Non-Autistic Adults in the Recognition of Anger from Facial Motion Remain after Controlling for Alexithymia Type de document : Texte imprimé et/ou numérique Auteurs : Connor T. KEATING, Auteur ; Dagmar S. FRASER, Auteur ; Sophie SOWDEN, Auteur ; Jennifer L. COOK, Auteur Article en page(s) : p.1855-1871 Langues : Anglais (eng) Mots-clés : Adult  Affective Symptoms/psychology  Anger  Autism Spectrum Disorder  Autistic Disorder/psychology  Emotions  Facial Expression  Facial Recognition  Humans  Alexithymia  Emotion recognition  Movement kinematics Index. décimale : PER Périodiques Résumé : To date, studies have not established whether autistic and non-autistic individuals differ in emotion recognition from facial motion cues when matched in terms of alexithymia. Here, autistic and non-autistic adults (N=60) matched on age, gender, non-verbal reasoning ability and alexithymia, completed an emotion recognition task, which employed dynamic point light displays of emotional facial expressions manipulated in terms of speed and spatial exaggeration. Autistic participants exhibited significantly lower accuracy for angry, but not happy or sad, facial motion with unmanipulated speed and spatial exaggeration. Autistic, and not alexithymic, traits were predictive of accuracy for angry facial motion with unmanipulated speed and spatial exaggeration. Alexithymic traits, in contrast, were predictive of the magnitude of both correct and incorrect emotion ratings. En ligne : http://dx.doi.org/10.1007/s10803-021-05083-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 [article] Differences Between Autistic and Non-Autistic Adults in the Recognition of Anger from Facial Motion Remain after Controlling for Alexithymia [Texte imprimé et/ou numérique] / Connor T. KEATING, Auteur ; Dagmar S. FRASER, Auteur ; Sophie SOWDEN, Auteur ; Jennifer L. COOK, Auteur . - p.1855-1871. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-4 (April 2022) . - p.1855-1871 Mots-clés : Adult  Affective Symptoms/psychology  Anger  Autism Spectrum Disorder  Autistic Disorder/psychology  Emotions  Facial Expression  Facial Recognition  Humans  Alexithymia  Emotion recognition  Movement kinematics Index. décimale : PER Périodiques Résumé : To date, studies have not established whether autistic and non-autistic individuals differ in emotion recognition from facial motion cues when matched in terms of alexithymia. Here, autistic and non-autistic adults (N=60) matched on age, gender, non-verbal reasoning ability and alexithymia, completed an emotion recognition task, which employed dynamic point light displays of emotional facial expressions manipulated in terms of speed and spatial exaggeration. Autistic participants exhibited significantly lower accuracy for angry, but not happy or sad, facial motion with unmanipulated speed and spatial exaggeration. Autistic, and not alexithymic, traits were predictive of accuracy for angry facial motion with unmanipulated speed and spatial exaggeration. Alexithymic traits, in contrast, were predictive of the magnitude of both correct and incorrect emotion ratings. En ligne : http://dx.doi.org/10.1007/s10803-021-05083-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476

Facial expression recognition is linked to clinical and neurofunctional differences in autism / Hannah MEYER-LINDENBERG in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 43 p. Titre : Facial expression recognition is linked to clinical and neurofunctional differences in autism Type de document : Texte imprimé et/ou numérique Auteurs : Hannah MEYER-LINDENBERG, Auteur ; Carolin MOESSNANG, Auteur ; Bethany OAKLEY, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J. H. JONES, Auteur ; Hannah L. HAYWARD, Auteur ; Jennifer COOKE, Auteur ; Daisy CRAWLEY, Auteur ; Rosemary HOLT, Auteur ; Julian TILLMANN, Auteur ; Tony CHARMAN, Auteur ; Simon BARON-COHEN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Christian BECKMANN, Auteur ; Heike TOST, Auteur ; Andreas MEYER-LINDENBERG, Auteur ; Jan K. BUITELAAR, Auteur ; Declan G. MURPHY, Auteur ; Michael J. BRAMMER, Auteur ; Eva LOTH, Auteur Article en page(s) : 43 p. Langues : Anglais (eng) Mots-clés : Humans  Facial Recognition  Autistic Disorder/diagnostic imaging  Emotions  Magnetic Resonance Imaging/methods  Biomarkers  Autism Spectrum Disorder  Facial Expression  Autism  Autism spectrum disorder  Clustering analysis  Development  Facial expression recognition  Multi-site  Social brain  Stratification biomarkers  fMRI  consultant to F. Hoffmann-La Roche Ltd. and Servier and has received royalties  from Sage Publications and Guilford Publications. TB served in an advisory or  consultancy role for Lundbeck, Medice, Neurim Pharmaceuticals, Oberberg GmbH,  Takeda, and Infectopharm. He received conference support or speaker’s fee by  Lilly, Medice, and Takeda. He received royalties from Hogrefe, Kohlhammer, CIP  Medien, Oxford University Press  the present work is unrelated to these  relationships. AM-L has received consultant fees in the past two years from  Boehringer Ingelheim, Elsevier, Lundbeck Int. Neuroscience Foundation, Lundbeck  AS, The Wolfson Foundation, Thieme Verlag, Sage Therapeutics, von Behring  Stiftung, Fondation FondaMental, Janssen-Cilag GmbH, MedinCell, Brain Mind  Institute, CISSN. Furthermore, he has received speaker fees from Italian Society  of biological Psychiatry, Merz-Stiftung, Forum Werkstatt Karlsruhe, Lundbeck SAS  France, BAG Psychiatrie Oberbayern. JB has been in the past 3 years a consultant  to/member of advisory board of/and/or speaker for Takeda/Shire, Roche, Medice,  Angelini, Janssen, and Servier. He is not an employee of any of these companies,  and not a stock shareholder of any of these companies. He has no other financial  or material support, including expert testimony, patents, royalties. EL is an  Associate Editor at Molecular Autism. DM has been paid for advisory board work by  F. Hoffmann-La Roche Ltd. and Servier, and for editorial work by Springer. The  other authors declare that they have no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Difficulties in social communication are a defining clinical feature of autism. However, the underlying neurobiological heterogeneity has impeded targeted therapies and requires new approaches to identifying clinically relevant bio-behavioural subgroups. In the largest autism cohort to date, we comprehensively examined difficulties in facial expression recognition, a key process in social communication, as a bio-behavioural stratification biomarker, and validated them against clinical features and neurofunctional responses. METHODS: Between 255 and 488 participants aged 6-30 years with autism, typical development and/or mild intellectual disability completed the Karolinska Directed Emotional Faces task, the Reading the Mind in the Eyes Task and/or the Films Expression Task. We first examined mean-group differences on each test. Then, we used a novel intersection approach that compares two centroid and connectivity-based clustering methods to derive subgroups based on the combined performance across the three tasks. Measures and subgroups were then related to clinical features and neurofunctional differences measured using fMRI during a fearful face-matching task. RESULTS: We found significant mean-group differences on each expression recognition test. However, cluster analyses showed that these were driven by a low-performing autistic subgroup (~ 30% of autistic individuals who performed below 2SDs of the neurotypical mean on at least one test), while a larger subgroup (~ 70%) performed within 1SD on at least 2 tests. The low-performing subgroup also had on average significantly more social communication difficulties and lower activation in the amygdala and fusiform gyrus than the high-performing subgroup. LIMITATIONS: Findings of autism expression recognition subgroups and their characteristics require independent replication. This is currently not possible, as there is no other existing dataset that includes all relevant measures. However, we demonstrated high internal robustness (91.6%) of findings between two clustering methods with fundamentally different assumptions, which is a critical pre-condition for independent replication. CONCLUSIONS: We identified a subgroup of autistic individuals with expression recognition difficulties and showed that this related to clinical and neurobiological characteristics. If replicated, expression recognition may serve as bio-behavioural stratification biomarker and aid in the development of targeted interventions for a subgroup of autistic individuals. En ligne : http://dx.doi.org/10.1186/s13229-022-00520-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 [article] Facial expression recognition is linked to clinical and neurofunctional differences in autism [Texte imprimé et/ou numérique] / Hannah MEYER-LINDENBERG, Auteur ; Carolin MOESSNANG, Auteur ; Bethany OAKLEY, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J. H. JONES, Auteur ; Hannah L. HAYWARD, Auteur ; Jennifer COOKE, Auteur ; Daisy CRAWLEY, Auteur ; Rosemary HOLT, Auteur ; Julian TILLMANN, Auteur ; Tony CHARMAN, Auteur ; Simon BARON-COHEN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Christian BECKMANN, Auteur ; Heike TOST, Auteur ; Andreas MEYER-LINDENBERG, Auteur ; Jan K. BUITELAAR, Auteur ; Declan G. MURPHY, Auteur ; Michael J. BRAMMER, Auteur ; Eva LOTH, Auteur . - 43 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 43 p. Mots-clés : Humans  Facial Recognition  Autistic Disorder/diagnostic imaging  Emotions  Magnetic Resonance Imaging/methods  Biomarkers  Autism Spectrum Disorder  Facial Expression  Autism  Autism spectrum disorder  Clustering analysis  Development  Facial expression recognition  Multi-site  Social brain  Stratification biomarkers  fMRI  consultant to F. Hoffmann-La Roche Ltd. and Servier and has received royalties  from Sage Publications and Guilford Publications. TB served in an advisory or  consultancy role for Lundbeck, Medice, Neurim Pharmaceuticals, Oberberg GmbH,  Takeda, and Infectopharm. He received conference support or speaker’s fee by  Lilly, Medice, and Takeda. He received royalties from Hogrefe, Kohlhammer, CIP  Medien, Oxford University Press  the present work is unrelated to these  relationships. AM-L has received consultant fees in the past two years from  Boehringer Ingelheim, Elsevier, Lundbeck Int. Neuroscience Foundation, Lundbeck  AS, The Wolfson Foundation, Thieme Verlag, Sage Therapeutics, von Behring  Stiftung, Fondation FondaMental, Janssen-Cilag GmbH, MedinCell, Brain Mind  Institute, CISSN. Furthermore, he has received speaker fees from Italian Society  of biological Psychiatry, Merz-Stiftung, Forum Werkstatt Karlsruhe, Lundbeck SAS  France, BAG Psychiatrie Oberbayern. JB has been in the past 3 years a consultant  to/member of advisory board of/and/or speaker for Takeda/Shire, Roche, Medice,  Angelini, Janssen, and Servier. He is not an employee of any of these companies,  and not a stock shareholder of any of these companies. He has no other financial  or material support, including expert testimony, patents, royalties. EL is an  Associate Editor at Molecular Autism. DM has been paid for advisory board work by  F. Hoffmann-La Roche Ltd. and Servier, and for editorial work by Springer. The  other authors declare that they have no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Difficulties in social communication are a defining clinical feature of autism. However, the underlying neurobiological heterogeneity has impeded targeted therapies and requires new approaches to identifying clinically relevant bio-behavioural subgroups. In the largest autism cohort to date, we comprehensively examined difficulties in facial expression recognition, a key process in social communication, as a bio-behavioural stratification biomarker, and validated them against clinical features and neurofunctional responses. METHODS: Between 255 and 488 participants aged 6-30 years with autism, typical development and/or mild intellectual disability completed the Karolinska Directed Emotional Faces task, the Reading the Mind in the Eyes Task and/or the Films Expression Task. We first examined mean-group differences on each test. Then, we used a novel intersection approach that compares two centroid and connectivity-based clustering methods to derive subgroups based on the combined performance across the three tasks. Measures and subgroups were then related to clinical features and neurofunctional differences measured using fMRI during a fearful face-matching task. RESULTS: We found significant mean-group differences on each expression recognition test. However, cluster analyses showed that these were driven by a low-performing autistic subgroup (~ 30% of autistic individuals who performed below 2SDs of the neurotypical mean on at least one test), while a larger subgroup (~ 70%) performed within 1SD on at least 2 tests. The low-performing subgroup also had on average significantly more social communication difficulties and lower activation in the amygdala and fusiform gyrus than the high-performing subgroup. LIMITATIONS: Findings of autism expression recognition subgroups and their characteristics require independent replication. This is currently not possible, as there is no other existing dataset that includes all relevant measures. However, we demonstrated high internal robustness (91.6%) of findings between two clustering methods with fundamentally different assumptions, which is a critical pre-condition for independent replication. CONCLUSIONS: We identified a subgroup of autistic individuals with expression recognition difficulties and showed that this related to clinical and neurobiological characteristics. If replicated, expression recognition may serve as bio-behavioural stratification biomarker and aid in the development of targeted interventions for a subgroup of autistic individuals. En ligne : http://dx.doi.org/10.1186/s13229-022-00520-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491

Deactivation in anterior cingulate cortex during facial processing in young individuals with high familial risk and early development of depression: fMRI findings from the Scottish Bipolar Family Study / Stella W. Y. CHAN in Journal of Child Psychology and Psychiatry, 57-11 (November 2016)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 57-11 (November 2016) . - p.1277-1286 Titre : Deactivation in anterior cingulate cortex during facial processing in young individuals with high familial risk and early development of depression: fMRI findings from the Scottish Bipolar Family Study Type de document : Texte imprimé et/ou numérique Auteurs : Stella W. Y. CHAN, Auteur ; Jessika E. SUSSMANN, Auteur ; Liana ROMANIUK, Auteur ; Tiffany STEWART, Auteur ; Stephen M. LAWRIE, Auteur ; Jeremy HALL, Auteur ; Andrew M. MCINTOSH, Auteur ; Heather C. WHALLEY, Auteur Article en page(s) : p.1277-1286 Langues : Anglais (eng) Mots-clés : Mood disorder  major depressive disorder  fMRI  anterior cingulate  facial recognition  familial risk Index. décimale : PER Périodiques Résumé : Background Studies have identified perturbations in facial processing in bipolar disorder and major depressive disorder (MDD), but their relationship to genetic risk and early development of illness is unclear. Methods The Scottish Bipolar Family Study is a prospective longitudinal investigation examining young individuals (age 16–25) at familial risk of mood disorder. Participants underwent functional MRI using an implicit facial processing task employing angry and neutral faces. An explicit facial expression recognition task was completed outside the scanner. Clinical outcomes obtained 2 years after the scan were used to categorise participants into controls (n = 54), high-risk individuals who had developed MDD (HR MDD; n = 30) and high-risk individuals who remained well (HR Well, n = 43). Results All groups demonstrated activation patterns typically observed during facial processing, including activation of the amygdala, hippocampus, fusiform gyrus and middle frontal regions. Notably, the HR MDD group showed reduced activation of the anterior cingulate gyrus versus both the control and HR Well group for angry faces, and versus the HR Well group for neutral faces. Outside the scanner, the HR MDD group was less accurate in recognising fearful expressions than the HR Well group. Conclusions Here, we demonstrate functional abnormalities of the anterior cingulate cortex alongside facial emotional recognition deficits in high-risk individuals in the early stages of depression compared with both controls and at-risk individuals who remained well. These neural changes were associated with a current or future diagnosis of MDD and were not simply associated with increased familial risk. En ligne : http://dx.doi.org/10.1111/jcpp.12591 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=295 [article] Deactivation in anterior cingulate cortex during facial processing in young individuals with high familial risk and early development of depression: fMRI findings from the Scottish Bipolar Family Study [Texte imprimé et/ou numérique] / Stella W. Y. CHAN, Auteur ; Jessika E. SUSSMANN, Auteur ; Liana ROMANIUK, Auteur ; Tiffany STEWART, Auteur ; Stephen M. LAWRIE, Auteur ; Jeremy HALL, Auteur ; Andrew M. MCINTOSH, Auteur ; Heather C. WHALLEY, Auteur . - p.1277-1286. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 57-11 (November 2016) . - p.1277-1286 Mots-clés : Mood disorder  major depressive disorder  fMRI  anterior cingulate  facial recognition  familial risk Index. décimale : PER Périodiques Résumé : Background Studies have identified perturbations in facial processing in bipolar disorder and major depressive disorder (MDD), but their relationship to genetic risk and early development of illness is unclear. Methods The Scottish Bipolar Family Study is a prospective longitudinal investigation examining young individuals (age 16–25) at familial risk of mood disorder. Participants underwent functional MRI using an implicit facial processing task employing angry and neutral faces. An explicit facial expression recognition task was completed outside the scanner. Clinical outcomes obtained 2 years after the scan were used to categorise participants into controls (n = 54), high-risk individuals who had developed MDD (HR MDD; n = 30) and high-risk individuals who remained well (HR Well, n = 43). Results All groups demonstrated activation patterns typically observed during facial processing, including activation of the amygdala, hippocampus, fusiform gyrus and middle frontal regions. Notably, the HR MDD group showed reduced activation of the anterior cingulate gyrus versus both the control and HR Well group for angry faces, and versus the HR Well group for neutral faces. Outside the scanner, the HR MDD group was less accurate in recognising fearful expressions than the HR Well group. Conclusions Here, we demonstrate functional abnormalities of the anterior cingulate cortex alongside facial emotional recognition deficits in high-risk individuals in the early stages of depression compared with both controls and at-risk individuals who remained well. These neural changes were associated with a current or future diagnosis of MDD and were not simply associated with increased familial risk. En ligne : http://dx.doi.org/10.1111/jcpp.12591 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=295

Facial emotion training as an intervention in autism spectrum disorder: A meta-analysis of randomized controlled trials / Q. ZHANG in Autism Research, 14-10 (October 2021)  

Public ISBD [article]  inAutism Research > 14-10 (October 2021) . - p.2169-2182 Titre : Facial emotion training as an intervention in autism spectrum disorder: A meta-analysis of randomized controlled trials Type de document : Texte imprimé et/ou numérique Auteurs : Q. ZHANG, Auteur ; R. WU, Auteur ; S. ZHU, Auteur ; J. LE, Auteur ; Y. CHEN, Auteur ; C. LAN, Auteur ; S. YAO, Auteur ; W. ZHAO, Auteur ; K. M. KENDRICK, Auteur Article en page(s) : p.2169-2182 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/therapy  Emotions  Facial Recognition  Humans  Randomized Controlled Trials as Topic  Social Skills  autism spectrum disorder  emotion expression  emotion recognition  emotion understanding  facial emotion training  meta-analysis  social skills Index. décimale : PER Périodiques Résumé : A large number of computer-based training programs have been developed as an intervention to help individuals with autism spectrum disorders (ASD) improve their facial emotion recognition ability, as well as social skills. However, it is unclear to what extent these facial emotion training programs can produce beneficial, long-lasting, and generalizable results. Using standard meta-analytic techniques, we investigated the effects of facial emotion training including generalization and maintenance restricted to randomized control trial studies comprising a total of 595 individuals with ASD. Our findings revealed that the intervention resulted in a robust improvement in emotion recognition for individuals receiving training compared with controls. However, while there was also some evidence for generalization of training effects, the small number of studies which conducted follow-ups and assessed social skills reported that improvements were not maintained and there was no evidence for general improvement in social skills. Overall, the analysis revealed a medium effect size in training improvement indicating that facial emotion training may be an effective method for enhancing emotion recognition skills in ASD although more studies are required to assess maintenance of effects and possible general improvements in social skills. LAY SUMMARY: Facial emotion training as an intervention may be a potential way to help improve emotion recognition in autism spectrum disorder (ASD), however robust empirical support for its efficacy has not been sufficiently established. Here, we conducted a meta-analysis of previous studies to summarize the effects of facial emotion training on ASD. Our results show that the training produces a robust improvement in subsequent emotion recognition, while maintenance and generalization effects still need further investigation. To date, no experimentally verified improvements in social skills have been reported. En ligne : http://dx.doi.org/10.1002/aur.2565 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 [article] Facial emotion training as an intervention in autism spectrum disorder: A meta-analysis of randomized controlled trials [Texte imprimé et/ou numérique] / Q. ZHANG, Auteur ; R. WU, Auteur ; S. ZHU, Auteur ; J. LE, Auteur ; Y. CHEN, Auteur ; C. LAN, Auteur ; S. YAO, Auteur ; W. ZHAO, Auteur ; K. M. KENDRICK, Auteur . - p.2169-2182. Langues : Anglais (eng) in Autism Research > 14-10 (October 2021) . - p.2169-2182 Mots-clés : Autism Spectrum Disorder/therapy  Emotions  Facial Recognition  Humans  Randomized Controlled Trials as Topic  Social Skills  autism spectrum disorder  emotion expression  emotion recognition  emotion understanding  facial emotion training  meta-analysis  social skills Index. décimale : PER Périodiques Résumé : A large number of computer-based training programs have been developed as an intervention to help individuals with autism spectrum disorders (ASD) improve their facial emotion recognition ability, as well as social skills. However, it is unclear to what extent these facial emotion training programs can produce beneficial, long-lasting, and generalizable results. Using standard meta-analytic techniques, we investigated the effects of facial emotion training including generalization and maintenance restricted to randomized control trial studies comprising a total of 595 individuals with ASD. Our findings revealed that the intervention resulted in a robust improvement in emotion recognition for individuals receiving training compared with controls. However, while there was also some evidence for generalization of training effects, the small number of studies which conducted follow-ups and assessed social skills reported that improvements were not maintained and there was no evidence for general improvement in social skills. Overall, the analysis revealed a medium effect size in training improvement indicating that facial emotion training may be an effective method for enhancing emotion recognition skills in ASD although more studies are required to assess maintenance of effects and possible general improvements in social skills. LAY SUMMARY: Facial emotion training as an intervention may be a potential way to help improve emotion recognition in autism spectrum disorder (ASD), however robust empirical support for its efficacy has not been sufficiently established. Here, we conducted a meta-analysis of previous studies to summarize the effects of facial emotion training on ASD. Our results show that the training produces a robust improvement in subsequent emotion recognition, while maintenance and generalization effects still need further investigation. To date, no experimentally verified improvements in social skills have been reported. En ligne : http://dx.doi.org/10.1002/aur.2565 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450

Investigating automatic emotion processing in boys with autism via eye tracking and facial mimicry recordings / S. VAN DER DONCK in Autism Research, 14-7 (July 2021)  

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Atypical gaze patterns to facial feature areas in autism spectrum disorders reveal age and culture effects: A meta-analysis of eye-tracking studies / X. MA in Autism Research, 14-12 (December 2021)  

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Autistic and non-autistic individuals show the same amygdala activity during emotional face processing / Benedikt P LANGENBACH in Molecular Autism, 15 (2024)  

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Autistic people outperform neurotypicals in a cartoon version of the Reading the Mind in the Eyes / Liam CROSS in Autism Research, 15-9 (September 2022)  

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Avatar Assistant: Improving Social Skills in Students with an ASD Through a Computer-Based Intervention / Ingrid Maria HOPKINS in Journal of Autism and Developmental Disorders, 41-11 (November 2011)  

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