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Goal-directed action anticipation and prediction error processing in children with autism spectrum disorders: An eye-movement study / Cheng-Hui TAN in Research in Autism Spectrum Disorders, 106 (August 2023)
[article]
Titre : Goal-directed action anticipation and prediction error processing in children with autism spectrum disorders: An eye-movement study Type de document : Texte imprimé et/ou numérique Auteurs : Cheng-Hui TAN, Auteur ; Qi-Qi XING, Auteur ; Yuan ZHAO, Auteur ; Bo-Hai SONG, Auteur ; Chuan-Lin ZHU, Auteur ; Jun-Jie QIU, Auteur ; Mu-Ye HE, Auteur ; Dian-Zhi LIU, Auteur Année de publication : 2023 Article en page(s) : 102199 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Goal-directed action anticipation Prediction error Eye-movement Index. décimale : PER Périodiques Résumé : Background Differences in predictive ability have been proposed as a possible explanation for the core symptoms of autism spectrum disorder (ASD). This study aimed to investigate potential differences in prior knowledge acquisition and application for goal-directed anticipation in children with ASD. Method The study included 22 children with ASD and 19 typically developing (TD) children between the ages of 5-10 years. Two eye-tracking phases were used to examine the formation of goal-directed action anticipations and the processing of action prediction errors. In the action anticipation formation phase, participants were asked to observe goal-directed actions repeatedly to examine prior knowledge acquisition about agent-goal association. In the action anticipation violation phase, the goals of actions were changed to examine the application of previously acquired knowledge. Results Children with ASD required more trials to form goal-directed anticipations than TD children. Furthermore, prior knowledge acquisition was characterized by variability and instability in children with ASD. During the action anticipation violation phase, children with ASD exhibited lower preference for the action goal determined by prior knowledge in uncertain situations. This atypical processing of prior knowledge was significantly correlated with the severity of ASD symptoms. Conclusions Our findings support the Bayesian perception theory and predictive coding theory, suggesting that children with ASD may experience difficulties in both the acquisition and application of prior knowledge in anticipation. These findings have implications for developing interventions to improve goal-directed anticipation and reduce social and communication difficulties in individuals with ASD. En ligne : https://doi.org/10.1016/j.rasd.2023.102199 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=509
in Research in Autism Spectrum Disorders > 106 (August 2023) . - 102199[article] Goal-directed action anticipation and prediction error processing in children with autism spectrum disorders: An eye-movement study [Texte imprimé et/ou numérique] / Cheng-Hui TAN, Auteur ; Qi-Qi XING, Auteur ; Yuan ZHAO, Auteur ; Bo-Hai SONG, Auteur ; Chuan-Lin ZHU, Auteur ; Jun-Jie QIU, Auteur ; Mu-Ye HE, Auteur ; Dian-Zhi LIU, Auteur . - 2023 . - 102199.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 106 (August 2023) . - 102199
Mots-clés : Autism spectrum disorder Goal-directed action anticipation Prediction error Eye-movement Index. décimale : PER Périodiques Résumé : Background Differences in predictive ability have been proposed as a possible explanation for the core symptoms of autism spectrum disorder (ASD). This study aimed to investigate potential differences in prior knowledge acquisition and application for goal-directed anticipation in children with ASD. Method The study included 22 children with ASD and 19 typically developing (TD) children between the ages of 5-10 years. Two eye-tracking phases were used to examine the formation of goal-directed action anticipations and the processing of action prediction errors. In the action anticipation formation phase, participants were asked to observe goal-directed actions repeatedly to examine prior knowledge acquisition about agent-goal association. In the action anticipation violation phase, the goals of actions were changed to examine the application of previously acquired knowledge. Results Children with ASD required more trials to form goal-directed anticipations than TD children. Furthermore, prior knowledge acquisition was characterized by variability and instability in children with ASD. During the action anticipation violation phase, children with ASD exhibited lower preference for the action goal determined by prior knowledge in uncertain situations. This atypical processing of prior knowledge was significantly correlated with the severity of ASD symptoms. Conclusions Our findings support the Bayesian perception theory and predictive coding theory, suggesting that children with ASD may experience difficulties in both the acquisition and application of prior knowledge in anticipation. These findings have implications for developing interventions to improve goal-directed anticipation and reduce social and communication difficulties in individuals with ASD. En ligne : https://doi.org/10.1016/j.rasd.2023.102199 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=509 Social and nonsocial visual prediction errors in autism spectrum disorder / R. K. GREENE in Autism Research, 12-6 (June 2019)
[article]
Titre : Social and nonsocial visual prediction errors in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : R. K. GREENE, Auteur ; S. ZHENG, Auteur ; J. L. KINARD, Auteur ; M. G. MOSNER, Auteur ; C. A. WIESEN, Auteur ; D. P. KENNEDY, Auteur ; Gabriel S. DICHTER, Auteur Année de publication : 2019 Article en page(s) : p.878-883 Langues : Anglais (eng) Mots-clés : autism spectrum disorder eye tracking prediction error Index. décimale : PER Périodiques Résumé : Impaired predictive coding has been proposed as a framework to explain discrepancies between expectations and outcomes in autism spectrum disorder (ASD) that may contribute to core symptoms of the disorder. However, no eye tracking study has directly addressed this framework in the context of visual predictions of social and nonsocial stimuli. The current study used eye tracking to examine violations of learned visual associations of both social and nonsocial stimuli. Twenty-six adolescents with ASD and 18 typically developing control (TDC) adolescents completed an outcome expectation eye tracking task in which predictive cues correctly (80% of trials) or incorrectly (20% of trials) indicated the location (left or right) of forthcoming social or nonsocial stimuli. During violation trials, individuals with ASD focused their gaze relatively more often on stimuli presented on locations that violated the learned association and less often on locations that corresponded with the learned association. This finding was not moderated by stimulus type (i.e., social vs. nonsocial). Additionally, participants who looked at incorrectly predicted locations more often had significantly greater ASD symptom severity. These results are consistent with theories that characterize ASD as a disorder of prediction and have potential implications for understanding symptoms related to prediction errors in individuals with ASD. Autism Res 2019, 12: 878-883. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Individuals with autism spectrum disorder (ASD) exhibit impairments making predictions that may impact learning. In this study, we used eye tracking methodology and found that individuals with ASD were less likely to look at the predicted location when a visual routine was violated. This pattern was evident for both social and nonsocial images and was associated with greater ASD symptom severity. These findings provide additional support for predictive challenges in ASD. En ligne : https://dx.doi.org/10.1002/aur.2090 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=400
in Autism Research > 12-6 (June 2019) . - p.878-883[article] Social and nonsocial visual prediction errors in autism spectrum disorder [Texte imprimé et/ou numérique] / R. K. GREENE, Auteur ; S. ZHENG, Auteur ; J. L. KINARD, Auteur ; M. G. MOSNER, Auteur ; C. A. WIESEN, Auteur ; D. P. KENNEDY, Auteur ; Gabriel S. DICHTER, Auteur . - 2019 . - p.878-883.
Langues : Anglais (eng)
in Autism Research > 12-6 (June 2019) . - p.878-883
Mots-clés : autism spectrum disorder eye tracking prediction error Index. décimale : PER Périodiques Résumé : Impaired predictive coding has been proposed as a framework to explain discrepancies between expectations and outcomes in autism spectrum disorder (ASD) that may contribute to core symptoms of the disorder. However, no eye tracking study has directly addressed this framework in the context of visual predictions of social and nonsocial stimuli. The current study used eye tracking to examine violations of learned visual associations of both social and nonsocial stimuli. Twenty-six adolescents with ASD and 18 typically developing control (TDC) adolescents completed an outcome expectation eye tracking task in which predictive cues correctly (80% of trials) or incorrectly (20% of trials) indicated the location (left or right) of forthcoming social or nonsocial stimuli. During violation trials, individuals with ASD focused their gaze relatively more often on stimuli presented on locations that violated the learned association and less often on locations that corresponded with the learned association. This finding was not moderated by stimulus type (i.e., social vs. nonsocial). Additionally, participants who looked at incorrectly predicted locations more often had significantly greater ASD symptom severity. These results are consistent with theories that characterize ASD as a disorder of prediction and have potential implications for understanding symptoms related to prediction errors in individuals with ASD. Autism Res 2019, 12: 878-883. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Individuals with autism spectrum disorder (ASD) exhibit impairments making predictions that may impact learning. In this study, we used eye tracking methodology and found that individuals with ASD were less likely to look at the predicted location when a visual routine was violated. This pattern was evident for both social and nonsocial images and was associated with greater ASD symptom severity. These findings provide additional support for predictive challenges in ASD. En ligne : https://dx.doi.org/10.1002/aur.2090 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=400 Annual Research Review: Developmental computational psychiatry / T. U. HAUSER in Journal of Child Psychology and Psychiatry, 60-4 (April 2019)
[article]
Titre : Annual Research Review: Developmental computational psychiatry Type de document : Texte imprimé et/ou numérique Auteurs : T. U. HAUSER, Auteur ; G. J. WILL, Auteur ; M. DUBOIS, Auteur ; R. J. DOLAN, Auteur Article en page(s) : p.412-426 Langues : Anglais (eng) Mots-clés : Developmental computational psychiatry apathy dopamine motivation prediction error reinforcement learning self-esteem Index. décimale : PER Périodiques Résumé : Most psychiatric disorders emerge during childhood and adolescence. This is also a period that coincides with the brain undergoing substantial growth and reorganisation. However, it remains unclear how a heightened vulnerability to psychiatric disorder relates to this brain maturation. Here, we propose 'developmental computational psychiatry' as a framework for linking brain maturation to cognitive development. We argue that through modelling some of the brain's fundamental cognitive computations, and relating them to brain development, we can bridge the gap between brain and cognitive development. This in turn can lead to a richer understanding of the ontogeny of psychiatric disorders. We illustrate this perspective with examples from reinforcement learning and dopamine function. Specifically, we show how computational modelling deepens an understanding of how cognitive processes, such as reward learning, effort learning, and social learning might go awry in psychiatric disorders. Finally, we sketch the promises and limitations of a developmental computational psychiatry. En ligne : https://dx.doi.org/10.1111/jcpp.12964 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=388
in Journal of Child Psychology and Psychiatry > 60-4 (April 2019) . - p.412-426[article] Annual Research Review: Developmental computational psychiatry [Texte imprimé et/ou numérique] / T. U. HAUSER, Auteur ; G. J. WILL, Auteur ; M. DUBOIS, Auteur ; R. J. DOLAN, Auteur . - p.412-426.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 60-4 (April 2019) . - p.412-426
Mots-clés : Developmental computational psychiatry apathy dopamine motivation prediction error reinforcement learning self-esteem Index. décimale : PER Périodiques Résumé : Most psychiatric disorders emerge during childhood and adolescence. This is also a period that coincides with the brain undergoing substantial growth and reorganisation. However, it remains unclear how a heightened vulnerability to psychiatric disorder relates to this brain maturation. Here, we propose 'developmental computational psychiatry' as a framework for linking brain maturation to cognitive development. We argue that through modelling some of the brain's fundamental cognitive computations, and relating them to brain development, we can bridge the gap between brain and cognitive development. This in turn can lead to a richer understanding of the ontogeny of psychiatric disorders. We illustrate this perspective with examples from reinforcement learning and dopamine function. Specifically, we show how computational modelling deepens an understanding of how cognitive processes, such as reward learning, effort learning, and social learning might go awry in psychiatric disorders. Finally, we sketch the promises and limitations of a developmental computational psychiatry. En ligne : https://dx.doi.org/10.1111/jcpp.12964 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=388 Dysfunctional representation of expected value is associated with reinforcement-based decision-making deficits in adolescents with conduct problems / Stuart F. WHITE in Journal of Child Psychology and Psychiatry, 57-8 (August 2016)
[article]
Titre : Dysfunctional representation of expected value is associated with reinforcement-based decision-making deficits in adolescents with conduct problems Type de document : Texte imprimé et/ou numérique Auteurs : Stuart F. WHITE, Auteur ; Patrick M. TYLER, Auteur ; Anna K. ERWAY, Auteur ; Mary L. BOTKIN, Auteur ; Venkata KOLLI, Auteur ; Harma MEFFERT, Auteur ; Kayla POPE, Auteur ; James R. BLAIR, Auteur Article en page(s) : p.938-946 Langues : Anglais (eng) Mots-clés : Conduct problems decision-making anterior insula expected value prediction error Index. décimale : PER Périodiques Résumé : Background Previous work has shown that patients with conduct problems (CP) show impairments in reinforcement-based decision-making. However, studies with patients have not previously demonstrated any relationships between impairment in any of the neurocomputations underpinning reinforcement-based decision-making and specific symptom sets [e.g. level of CP and/or callous-unemotional (CU) traits]. Methods Seventy-two youths [20 female, mean age = 13.81 (SD = 2.14), mean IQ = 102.34 (SD = 10.99)] from a residential treatment program and the community completed a passive avoidance task while undergoing functional MRI. Results Greater levels of CP were associated with poorer task performance. Reduced representation of expected values (EV) when making avoidance responses within bilateral anterior insula cortex/inferior frontal gyrus (AIC/iFG) and striatum was associated with greater levels of CP but not CU traits. Conclusions The current data indicate that difficulties in the use of value information to motivate decisions to avoid suboptimal choices are associated with increased levels of CP (though not severity of CU traits). Moreover, they account for the behavioral deficits observed during reinforcement-based decision-making in youth with CP. In short, an individual's relative failure to utilize value information within AIC/iFG to avoid bad choices is associated with elevated levels of CP. En ligne : http://dx.doi.org/10.1111/jcpp.12557 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=292
in Journal of Child Psychology and Psychiatry > 57-8 (August 2016) . - p.938-946[article] Dysfunctional representation of expected value is associated with reinforcement-based decision-making deficits in adolescents with conduct problems [Texte imprimé et/ou numérique] / Stuart F. WHITE, Auteur ; Patrick M. TYLER, Auteur ; Anna K. ERWAY, Auteur ; Mary L. BOTKIN, Auteur ; Venkata KOLLI, Auteur ; Harma MEFFERT, Auteur ; Kayla POPE, Auteur ; James R. BLAIR, Auteur . - p.938-946.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 57-8 (August 2016) . - p.938-946
Mots-clés : Conduct problems decision-making anterior insula expected value prediction error Index. décimale : PER Périodiques Résumé : Background Previous work has shown that patients with conduct problems (CP) show impairments in reinforcement-based decision-making. However, studies with patients have not previously demonstrated any relationships between impairment in any of the neurocomputations underpinning reinforcement-based decision-making and specific symptom sets [e.g. level of CP and/or callous-unemotional (CU) traits]. Methods Seventy-two youths [20 female, mean age = 13.81 (SD = 2.14), mean IQ = 102.34 (SD = 10.99)] from a residential treatment program and the community completed a passive avoidance task while undergoing functional MRI. Results Greater levels of CP were associated with poorer task performance. Reduced representation of expected values (EV) when making avoidance responses within bilateral anterior insula cortex/inferior frontal gyrus (AIC/iFG) and striatum was associated with greater levels of CP but not CU traits. Conclusions The current data indicate that difficulties in the use of value information to motivate decisions to avoid suboptimal choices are associated with increased levels of CP (though not severity of CU traits). Moreover, they account for the behavioral deficits observed during reinforcement-based decision-making in youth with CP. In short, an individual's relative failure to utilize value information within AIC/iFG to avoid bad choices is associated with elevated levels of CP. En ligne : http://dx.doi.org/10.1111/jcpp.12557 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=292