Mental representations of speech and musical pitch contours reveal a diversity of profiles in autism spectrum disorder / Li WANG in Autism, 27-3 (April 2023)  

Public ISBD [article]  inAutism > 27-3 (April 2023) . - p.629-646 Titre : Mental representations of speech and musical pitch contours reveal a diversity of profiles in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Li WANG, Auteur ; Jia Hoong ONG, Auteur ; Emmanuel PONSOT, Auteur ; Qingqi HOU, Auteur ; Cunmei JIANG, Auteur ; Fang LIU, Auteur Article en page(s) : p.629-646 Langues : Anglais (eng) Mots-clés : autism spectrum disorder,mental representation,music,pitch processing,reverse correlation,speech Index. décimale : PER Périodiques Résumé : As an information-bearing auditory attribute of sound, pitch plays a crucial role in the perception of speech and music. Studies examining pitch processing in autism spectrum disorder have produced equivocal results. To understand this discrepancy from a mechanistic perspective, we used a novel data-driven method, the reverse-correlation paradigm, to explore whether the equivocal findings in autism spectrum disorder have high-level origins in top-down comparisons of internal mental representations of pitch contours. Thirty-two Mandarin-speaking autistic individuals and 32 non-autistic individuals undertook three subtasks testing mental representations of pitch contours in speech, complex tone and melody, respectively. The results indicate that while the two groups exhibited similar representations of pitch contours across the three conditions, the autistic group showed a significantly higher intra-group variability than the non-autistic group. In addition, the two groups did not differ significantly in internal noise, a measure of the robustness of participant responses to external variability, suggesting that the present findings translate genuinely qualitative differences and similarities between groups in pitch processing. These findings uncover for the first time that pitch patterns in speech and music are mentally represented in a similar manner in autistic and non-autistic individuals, through domain-general top-down mechanisms.Lay abstractAs a key auditory attribute of sounds, pitch is ubiquitous in our everyday listening experience involving language, music and environmental sounds. Given its critical role in auditory processing related to communication, numerous studies have investigated pitch processing in autism spectrum disorder. However, the findings have been mixed, reporting either enhanced, typical or impaired performance among autistic individuals. By investigating top-down comparisons of internal mental representations of pitch contours in speech and music, this study shows for the first time that, while autistic individuals exhibit diverse profiles of pitch processing compared to non-autistic individuals, their mental representations of pitch contours are typical across domains. These findings suggest that pitch-processing mechanisms are shared across domains in autism spectrum disorder and provide theoretical implications for using music to improve speech for those autistic individuals who have language problems. En ligne : https://doi.org/10.1177/13623613221111207 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499 [article] Mental representations of speech and musical pitch contours reveal a diversity of profiles in autism spectrum disorder [Texte imprimé et/ou numérique] / Li WANG, Auteur ; Jia Hoong ONG, Auteur ; Emmanuel PONSOT, Auteur ; Qingqi HOU, Auteur ; Cunmei JIANG, Auteur ; Fang LIU, Auteur . - p.629-646. Langues : Anglais (eng) in Autism > 27-3 (April 2023) . - p.629-646 Mots-clés : autism spectrum disorder,mental representation,music,pitch processing,reverse correlation,speech Index. décimale : PER Périodiques Résumé : As an information-bearing auditory attribute of sound, pitch plays a crucial role in the perception of speech and music. Studies examining pitch processing in autism spectrum disorder have produced equivocal results. To understand this discrepancy from a mechanistic perspective, we used a novel data-driven method, the reverse-correlation paradigm, to explore whether the equivocal findings in autism spectrum disorder have high-level origins in top-down comparisons of internal mental representations of pitch contours. Thirty-two Mandarin-speaking autistic individuals and 32 non-autistic individuals undertook three subtasks testing mental representations of pitch contours in speech, complex tone and melody, respectively. The results indicate that while the two groups exhibited similar representations of pitch contours across the three conditions, the autistic group showed a significantly higher intra-group variability than the non-autistic group. In addition, the two groups did not differ significantly in internal noise, a measure of the robustness of participant responses to external variability, suggesting that the present findings translate genuinely qualitative differences and similarities between groups in pitch processing. These findings uncover for the first time that pitch patterns in speech and music are mentally represented in a similar manner in autistic and non-autistic individuals, through domain-general top-down mechanisms.Lay abstractAs a key auditory attribute of sounds, pitch is ubiquitous in our everyday listening experience involving language, music and environmental sounds. Given its critical role in auditory processing related to communication, numerous studies have investigated pitch processing in autism spectrum disorder. However, the findings have been mixed, reporting either enhanced, typical or impaired performance among autistic individuals. By investigating top-down comparisons of internal mental representations of pitch contours in speech and music, this study shows for the first time that, while autistic individuals exhibit diverse profiles of pitch processing compared to non-autistic individuals, their mental representations of pitch contours are typical across domains. These findings suggest that pitch-processing mechanisms are shared across domains in autism spectrum disorder and provide theoretical implications for using music to improve speech for those autistic individuals who have language problems. En ligne : https://doi.org/10.1177/13623613221111207 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499

Predictive processing of music and language in autism: Evidence from Mandarin and English speakers / Jia Hoong ONG ; Anamarija VEIC ; Aniruddh D. PATEL ; Cunmei JIANG ; Allison R. FOGEL ; Li WANG ; Qingqi HOU ; Dipsikha DAS ; Cara CRASTO ; Bhismadev CHAKRABARTI ; Tim I. WILLIAMS ; Ariadne LOUTRARI ; Fang LIU in Autism Research, 17-6 (June 2024)  

Public ISBD [article]  inAutism Research > 17-6 (June 2024) . - p.1230-1257 Titre : Predictive processing of music and language in autism: Evidence from Mandarin and English speakers Type de document : Texte imprimé et/ou numérique Auteurs : Jia Hoong ONG, Auteur ; Anamarija VEIC, Auteur ; Aniruddh D. PATEL, Auteur ; Cunmei JIANG, Auteur ; Allison R. FOGEL, Auteur ; Li WANG, Auteur ; Qingqi HOU, Auteur ; Dipsikha DAS, Auteur ; Cara CRASTO, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Tim I. WILLIAMS, Auteur ; Ariadne LOUTRARI, Auteur ; Fang LIU, Auteur Article en page(s) : p.1230-1257 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Atypical predictive processing has been associated with autism across multiple domains, based mainly on artificial antecedents and consequents. As structured sequences where expectations derive from implicit learning of combinatorial principles, language and music provide naturalistic stimuli for investigating predictive processing. In this study, we matched melodic and sentence stimuli in cloze probabilities and examined musical and linguistic prediction in Mandarin- (Experiment 1) and English-speaking (Experiment 2) autistic and non-autistic individuals using both production and perception tasks. In the production tasks, participants listened to unfinished melodies/sentences and then produced the final notes/words to complete these items. In the perception tasks, participants provided expectedness ratings of the completed melodies/sentences based on the most frequent notes/words in the norms. While Experiment 1 showed intact musical prediction but atypical linguistic prediction in autism in the Mandarin sample that demonstrated imbalanced musical training experience and receptive vocabulary skills between groups, the group difference disappeared in a more closely matched sample of English speakers in Experiment 2. These findings suggest the importance of taking an individual differences approach when investigating predictive processing in music and language in autism, as the difficulty in prediction in autism may not be due to generalized problems with prediction in any type of complex sequence processing. En ligne : https://doi.org/10.1002/aur.3133 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=531 [article] Predictive processing of music and language in autism: Evidence from Mandarin and English speakers [Texte imprimé et/ou numérique] / Jia Hoong ONG, Auteur ; Anamarija VEIC, Auteur ; Aniruddh D. PATEL, Auteur ; Cunmei JIANG, Auteur ; Allison R. FOGEL, Auteur ; Li WANG, Auteur ; Qingqi HOU, Auteur ; Dipsikha DAS, Auteur ; Cara CRASTO, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Tim I. WILLIAMS, Auteur ; Ariadne LOUTRARI, Auteur ; Fang LIU, Auteur . - p.1230-1257. Langues : Anglais (eng) in Autism Research > 17-6 (June 2024) . - p.1230-1257 Index. décimale : PER Périodiques Résumé : Abstract Atypical predictive processing has been associated with autism across multiple domains, based mainly on artificial antecedents and consequents. As structured sequences where expectations derive from implicit learning of combinatorial principles, language and music provide naturalistic stimuli for investigating predictive processing. In this study, we matched melodic and sentence stimuli in cloze probabilities and examined musical and linguistic prediction in Mandarin- (Experiment 1) and English-speaking (Experiment 2) autistic and non-autistic individuals using both production and perception tasks. In the production tasks, participants listened to unfinished melodies/sentences and then produced the final notes/words to complete these items. In the perception tasks, participants provided expectedness ratings of the completed melodies/sentences based on the most frequent notes/words in the norms. While Experiment 1 showed intact musical prediction but atypical linguistic prediction in autism in the Mandarin sample that demonstrated imbalanced musical training experience and receptive vocabulary skills between groups, the group difference disappeared in a more closely matched sample of English speakers in Experiment 2. These findings suggest the importance of taking an individual differences approach when investigating predictive processing in music and language in autism, as the difficulty in prediction in autism may not be due to generalized problems with prediction in any type of complex sequence processing. En ligne : https://doi.org/10.1002/aur.3133 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=531

Probabilistic Learning of Cue-Outcome Associations is not Influenced by Autistic Traits / Jia Hoong ONG in Journal of Autism and Developmental Disorders, 53-10 (October 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-10 (October 2023) . - p.4047-4059 Titre : Probabilistic Learning of Cue-Outcome Associations is not Influenced by Autistic Traits Type de document : Texte imprimé et/ou numérique Auteurs : Jia Hoong ONG, Auteur ; Fang LIU, Auteur Article en page(s) : p.4047-4059 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : According to Bayesian/predictive coding models of autism, autistic individuals may have difficulties learning probabilistic cue-outcome associations, but empirical evidence has been mixed. The target cues used in previous studies were often straightforward and might not reflect real-life learning of such associations which requires learners to infer which cue(s) among many to track. Across two experiments, we compared adult learners with varying levels of autistic traits on their ability to infer the correct cue to learn probabilistic cue-outcome associations when explicitly instructed to do so or when exposed implicitly. We found no evidence for the effect of autistic traits on probabilistic learning accuracy, contrary to the predictions of Bayesian/predictive coding models. Implications for the current Bayesian/predictive coding models are discussed. En ligne : https://doi.org/10.1007/s10803-022-05690-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=511 [article] Probabilistic Learning of Cue-Outcome Associations is not Influenced by Autistic Traits [Texte imprimé et/ou numérique] / Jia Hoong ONG, Auteur ; Fang LIU, Auteur . - p.4047-4059. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-10 (October 2023) . - p.4047-4059 Index. décimale : PER Périodiques Résumé : According to Bayesian/predictive coding models of autism, autistic individuals may have difficulties learning probabilistic cue-outcome associations, but empirical evidence has been mixed. The target cues used in previous studies were often straightforward and might not reflect real-life learning of such associations which requires learners to infer which cue(s) among many to track. Across two experiments, we compared adult learners with varying levels of autistic traits on their ability to infer the correct cue to learn probabilistic cue-outcome associations when explicitly instructed to do so or when exposed implicitly. We found no evidence for the effect of autistic traits on probabilistic learning accuracy, contrary to the predictions of Bayesian/predictive coding models. Implications for the current Bayesian/predictive coding models are discussed. En ligne : https://doi.org/10.1007/s10803-022-05690-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=511

---

1 (1 - 3 / 3)