4 recherche sur le mot-clé 'Statistical learning'

Statistical Learning is Associated with Autism Symptoms and Verbal Abilities in Young Children with Autism / Rebecca M. JONES in Journal of Autism and Developmental Disorders, 48-10 (October 2018)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 48-10 (October 2018) . - p.3551-3561 Titre : Statistical Learning is Associated with Autism Symptoms and Verbal Abilities in Young Children with Autism Type de document : texte imprimé Auteurs : Rebecca M. JONES, Auteur ; Thaddeus TARPEY, Auteur ; Amarelle HAMO, Auteur ; Caroline CARBERRY, Auteur ; Gijs BROUWER, Auteur ; Catherine LORD, Auteur Article en page(s) : p.3551-3561 Langues : Anglais (eng) Mots-clés : Autism  Bayes classification  Cognitive abilities  Social communication  Statistical learning Index. décimale : PER Périodiques Résumé : Statistical learning-extracting regularities in the environment-may underlie complex social behavior. 124 children, 56 with autism and 68 typically developing, ages 2-8 years, completed a novel visual statistical learning task on an iPad. Averaged together, children with autism demonstrated less learning on the task compared to typically developing children. However, multivariate classification analyses characterized individual behavior patterns, and demonstrated a subset of children with autism had similar learning patterns to typically developing children and that subset of children had less severe autism symptoms. Therefore, statistically averaging data resulted in missing critical heterogeneity. Variability in statistical learning may help to understand differences in autism symptoms across individuals and could be used to tailor and inform treatment decisions. En ligne : http://dx.doi.org/10.1007/s10803-018-3625-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369 [article] Statistical Learning is Associated with Autism Symptoms and Verbal Abilities in Young Children with Autism [texte imprimé] / Rebecca M. JONES, Auteur ; Thaddeus TARPEY, Auteur ; Amarelle HAMO, Auteur ; Caroline CARBERRY, Auteur ; Gijs BROUWER, Auteur ; Catherine LORD, Auteur . - p.3551-3561. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 48-10 (October 2018) . - p.3551-3561 Mots-clés : Autism  Bayes classification  Cognitive abilities  Social communication  Statistical learning Index. décimale : PER Périodiques Résumé : Statistical learning-extracting regularities in the environment-may underlie complex social behavior. 124 children, 56 with autism and 68 typically developing, ages 2-8 years, completed a novel visual statistical learning task on an iPad. Averaged together, children with autism demonstrated less learning on the task compared to typically developing children. However, multivariate classification analyses characterized individual behavior patterns, and demonstrated a subset of children with autism had similar learning patterns to typically developing children and that subset of children had less severe autism symptoms. Therefore, statistically averaging data resulted in missing critical heterogeneity. Variability in statistical learning may help to understand differences in autism symptoms across individuals and could be used to tailor and inform treatment decisions. En ligne : http://dx.doi.org/10.1007/s10803-018-3625-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369

Aberrant Neural Entrainment to Word-Level Speech Patterns in Fragile X Syndrome: Evidence for a Statistical Learning Deficit / Laura J. BATTERINK in Autism Research, 19-8 (August 2026)  

Public ISBD [article]  inAutism Research > 19-8 (August 2026) . - p.e70312 Titre : Aberrant Neural Entrainment to Word-Level Speech Patterns in Fragile X Syndrome: Evidence for a Statistical Learning Deficit Type de document : texte imprimé Auteurs : Laura J. BATTERINK, Auteur ; Yanchen LIU, Auteur ; Grace WESTERKAMP, Auteur ; Jae CITARELLA, Auteur ; Peyton SIEKIERSKI, Auteur ; Lynxie VOORHEES, Auteur ; Lauren E. ETHRIDGE, Auteur ; Elizabeth SMITH, Auteur ; Rana ELMAGHRABY, Auteur ; Craig A. ERICKSON, Auteur ; Zag ELSAYED, Auteur ; Anubhuti GOEL, Auteur ; Steve W. WU, Auteur ; Ernest V. PEDAPATI, Auteur Article en page(s) : p.e70312 Langues : Anglais (eng) Mots-clés : auditory processing  EEG  electroencephalography  fragile X syndrome  language development  neural entrainment  statistical learning Index. décimale : PER Périodiques Résumé : ABSTRACT Fragile X syndrome (FXS), the most common inherited cause of intellectual disability and autism spectrum disorder, causes significant language and cognitive impairments. Statistical learning refers to the ability to extract patterns from sensory input through mere exposure and plays a central role in language acquisition. Surprisingly, statistical learning in FXS has not been explored. Given that children with FXS typically follow a delayed developmental trajectory for language, we hypothesized that they would show impaired statistical learning. To test this hypothesis, we used an EEG measure of neural entrainment to index statistical learning of hidden trisyllabic words within a continuous speech stream in children with FXS (n?=?17) and in typically developing controls (n?=?31). Children with FXS showed significantly reduced neural entrainment to words compared to controls, particularly in the superior temporal gyrus and transverse temporal gyrus (primary auditory cortex), providing evidence of statistical learning impairment. Notably, syllable-level entrainment was preserved or even enhanced in FXS, indicating that word-level deficits cannot be attributed to general auditory processing impairments. In addition, while typically developing controls showed an increase in word-level entrainment over the course of learning, children with FXS failed to show a similar increase over time. Taken together, this pattern of results demonstrates that children with FXS can process rapid, lower-order acoustic structure but struggle to integrate these syllables into longer, chunk-like word representations. Overall, these findings suggest that statistical learning is impaired in FXS and also suggest neural entrainment to statistical structure as a potential therapeutic target. En ligne : https://doi.org/10.1002/aur.70312 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=590 [article] Aberrant Neural Entrainment to Word-Level Speech Patterns in Fragile X Syndrome: Evidence for a Statistical Learning Deficit [texte imprimé] / Laura J. BATTERINK, Auteur ; Yanchen LIU, Auteur ; Grace WESTERKAMP, Auteur ; Jae CITARELLA, Auteur ; Peyton SIEKIERSKI, Auteur ; Lynxie VOORHEES, Auteur ; Lauren E. ETHRIDGE, Auteur ; Elizabeth SMITH, Auteur ; Rana ELMAGHRABY, Auteur ; Craig A. ERICKSON, Auteur ; Zag ELSAYED, Auteur ; Anubhuti GOEL, Auteur ; Steve W. WU, Auteur ; Ernest V. PEDAPATI, Auteur . - p.e70312. Langues : Anglais (eng) in Autism Research > 19-8 (August 2026) . - p.e70312 Mots-clés : auditory processing  EEG  electroencephalography  fragile X syndrome  language development  neural entrainment  statistical learning Index. décimale : PER Périodiques Résumé : ABSTRACT Fragile X syndrome (FXS), the most common inherited cause of intellectual disability and autism spectrum disorder, causes significant language and cognitive impairments. Statistical learning refers to the ability to extract patterns from sensory input through mere exposure and plays a central role in language acquisition. Surprisingly, statistical learning in FXS has not been explored. Given that children with FXS typically follow a delayed developmental trajectory for language, we hypothesized that they would show impaired statistical learning. To test this hypothesis, we used an EEG measure of neural entrainment to index statistical learning of hidden trisyllabic words within a continuous speech stream in children with FXS (n?=?17) and in typically developing controls (n?=?31). Children with FXS showed significantly reduced neural entrainment to words compared to controls, particularly in the superior temporal gyrus and transverse temporal gyrus (primary auditory cortex), providing evidence of statistical learning impairment. Notably, syllable-level entrainment was preserved or even enhanced in FXS, indicating that word-level deficits cannot be attributed to general auditory processing impairments. In addition, while typically developing controls showed an increase in word-level entrainment over the course of learning, children with FXS failed to show a similar increase over time. Taken together, this pattern of results demonstrates that children with FXS can process rapid, lower-order acoustic structure but struggle to integrate these syllables into longer, chunk-like word representations. Overall, these findings suggest that statistical learning is impaired in FXS and also suggest neural entrainment to statistical structure as a potential therapeutic target. En ligne : https://doi.org/10.1002/aur.70312 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=590

Brief Report: A Comparison of Statistical Learning in School-Aged Children with High Functioning Autism and Typically Developing Peers / Jessica MAYO in Journal of Autism and Developmental Disorders, 42-11 (November 2012)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 42-11 (November 2012) . - p.2476-2485 Titre : Brief Report: A Comparison of Statistical Learning in School-Aged Children with High Functioning Autism and Typically Developing Peers Type de document : texte imprimé Auteurs : Jessica MAYO, Auteur ; Inge-Marie EIGSTI, Auteur Article en page(s) : p.2476-2485 Langues : Anglais (eng) Mots-clés : Autism  Language  Implicit learning  Statistical learning  Speech segmentation Index. décimale : PER Périodiques Résumé : Individuals with autism spectrum disorders have impairments in language acquisition, but the underlying mechanism of these deficits is poorly understood. Implicit learning is potentially relevant to language development, particularly in speech segmentation, which relies on sensitivity to transitional probabilities between speech sounds. This study investigated the relationship between implicit learning and current language abilities in school-aged children with high functioning autism and a history of language delay ( n = 17) and in children with typical development ( n = 24) using a well-studied artificial language learning task. Results suggest that high functioning children with autism (HFA) and TD groups were equally able to implicitly learn transitional probabilities from a lengthy stimulus stream. Furthermore, task performance was not strongly associated with current language abilities. Implications for implicit learning research in HFA are discussed. En ligne : http://dx.doi.org/10.1007/s10803-012-1493-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=183 [article] Brief Report: A Comparison of Statistical Learning in School-Aged Children with High Functioning Autism and Typically Developing Peers [texte imprimé] / Jessica MAYO, Auteur ; Inge-Marie EIGSTI, Auteur . - p.2476-2485. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 42-11 (November 2012) . - p.2476-2485 Mots-clés : Autism  Language  Implicit learning  Statistical learning  Speech segmentation Index. décimale : PER Périodiques Résumé : Individuals with autism spectrum disorders have impairments in language acquisition, but the underlying mechanism of these deficits is poorly understood. Implicit learning is potentially relevant to language development, particularly in speech segmentation, which relies on sensitivity to transitional probabilities between speech sounds. This study investigated the relationship between implicit learning and current language abilities in school-aged children with high functioning autism and a history of language delay ( n = 17) and in children with typical development ( n = 24) using a well-studied artificial language learning task. Results suggest that high functioning children with autism (HFA) and TD groups were equally able to implicitly learn transitional probabilities from a lengthy stimulus stream. Furthermore, task performance was not strongly associated with current language abilities. Implications for implicit learning research in HFA are discussed. En ligne : http://dx.doi.org/10.1007/s10803-012-1493-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=183

Cognitive Mechanisms Underlying Action Prediction in Children and Adults with Autism Spectrum Condition / Tobias SCHUWERK in Journal of Autism and Developmental Disorders, 46-12 (December 2016)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 46-12 (December 2016) . - p.3623-3639 Titre : Cognitive Mechanisms Underlying Action Prediction in Children and Adults with Autism Spectrum Condition Type de document : texte imprimé Auteurs : Tobias SCHUWERK, Auteur ; Beate SODIAN, Auteur ; Markus PAULUS, Auteur Article en page(s) : p.3623-3639 Langues : Anglais (eng) Mots-clés : Anticipatory looking  Action prediction  Teleological reasoning  Autism spectrum condition  Statistical learning Index. décimale : PER Périodiques Résumé : Recent research suggests that impaired action prediction is at the core of social interaction deficits in autism spectrum condition (ASC). Here, we targeted two cognitive mechanisms that are thought to underlie the prediction of others’ actions: statistical learning and efficiency considerations. We measured proactive eye movements of 10-year-old children and adults with and without ASC in anticipation of an agent’s repeatedly presented action. Participants with ASC showed a generally weaker tendency to generate action predictions. Further analyses revealed that statistical learning led to systematic accurate action predictions in the control groups. Participants with ASC were impaired in their ability to use frequency information for action predictions. Our findings inform etiological models of impaired social interaction in ASC. En ligne : http://dx.doi.org/10.1007/s10803-016-2899-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297 [article] Cognitive Mechanisms Underlying Action Prediction in Children and Adults with Autism Spectrum Condition [texte imprimé] / Tobias SCHUWERK, Auteur ; Beate SODIAN, Auteur ; Markus PAULUS, Auteur . - p.3623-3639. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 46-12 (December 2016) . - p.3623-3639 Mots-clés : Anticipatory looking  Action prediction  Teleological reasoning  Autism spectrum condition  Statistical learning Index. décimale : PER Périodiques Résumé : Recent research suggests that impaired action prediction is at the core of social interaction deficits in autism spectrum condition (ASC). Here, we targeted two cognitive mechanisms that are thought to underlie the prediction of others’ actions: statistical learning and efficiency considerations. We measured proactive eye movements of 10-year-old children and adults with and without ASC in anticipation of an agent’s repeatedly presented action. Participants with ASC showed a generally weaker tendency to generate action predictions. Further analyses revealed that statistical learning led to systematic accurate action predictions in the control groups. Participants with ASC were impaired in their ability to use frequency information for action predictions. Our findings inform etiological models of impaired social interaction in ASC. En ligne : http://dx.doi.org/10.1007/s10803-016-2899-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297