Child language and autism diagnosis impact hierarchical temporal structure of parent-child vocal interactions in early childhood / Olivia BOOROM in Autism Research, 15-11 (November 2022)  

Public ISBD [article]  inAutism Research > 15-11 (November 2022) . - p.2099-2111 Titre : Child language and autism diagnosis impact hierarchical temporal structure of parent-child vocal interactions in early childhood Type de document : texte imprimé Auteurs : Olivia BOOROM, Auteur ; Camila ALVIAR, Auteur ; Yumeng ZHANG, Auteur ; Valerie MUÑOZ, Auteur ; Christopher T. KELLO, Auteur ; Miriam D. LENSE, Auteur Article en page(s) : p.2099-2111 Langues : Anglais (eng) Mots-clés : Infant  Child  Child, Preschool  Male  Humans  Female  Child Language  Autistic Disorder/complications  Autism Spectrum Disorder/diagnosis/complications  Parent-Child Relations  Social Skills  autism spectrum disorder  hierarchical temporal structure  interaction dynamics  language development  parent-child interaction  social reciprocity Index. décimale : PER Périodiques Résumé : Timing is critical to successful social interactions. The temporal structure of dyadic vocal interactions emerges from the rhythm, timing, and frequency of each individuals' vocalizations and reflects how the dyad dynamically organizes and adapts during an interaction. This study investigated the temporal structure of vocal interactions longitudinally in parent-child dyads of typically developing (TD) infants (n = 49; 9-18 months; 48% male) and toddlers with ASD (n = 23; 27.2 Â+ 5.0 months; 91.3% male) to identify how developing language and social skills impact the temporal dynamics of the interaction. Acoustic hierarchical temporal structure (HTS), a measure of the nested clustering of acoustic events across multiple timescales, was measured in free play interactions using Allan Factor. HTS reflects a signal's temporal complexity and variability, with greater HTS indicating reduced flexibility of the dyadic system. Child expressive language significantly predicted HTS (ß = -0.2) longitudinally across TD infants, with greater dyadic HTS associated with lower child language skills. ASD dyads exhibited greater HTS (i.e., more rigid temporal structure) than nonverbal matched (d = 0.41) and expressive language matched TD dyads (d = 0.28). Increased HTS in ASD dyads occurred at timescales>1 s, suggesting greater structuring of pragmatic aspects of interaction. Results provide a new window into how language development and social reciprocity serve as constraints to shape parent-child interaction dynamics and showcase a novel automated approach to characterizing vocal interactions across multiple timescales during early childhood. En ligne : http://dx.doi.org/10.1002/aur.2804 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 [article] Child language and autism diagnosis impact hierarchical temporal structure of parent-child vocal interactions in early childhood [texte imprimé] / Olivia BOOROM, Auteur ; Camila ALVIAR, Auteur ; Yumeng ZHANG, Auteur ; Valerie MUÑOZ, Auteur ; Christopher T. KELLO, Auteur ; Miriam D. LENSE, Auteur . - p.2099-2111. Langues : Anglais (eng) in Autism Research > 15-11 (November 2022) . - p.2099-2111 Mots-clés : Infant  Child  Child, Preschool  Male  Humans  Female  Child Language  Autistic Disorder/complications  Autism Spectrum Disorder/diagnosis/complications  Parent-Child Relations  Social Skills  autism spectrum disorder  hierarchical temporal structure  interaction dynamics  language development  parent-child interaction  social reciprocity Index. décimale : PER Périodiques Résumé : Timing is critical to successful social interactions. The temporal structure of dyadic vocal interactions emerges from the rhythm, timing, and frequency of each individuals' vocalizations and reflects how the dyad dynamically organizes and adapts during an interaction. This study investigated the temporal structure of vocal interactions longitudinally in parent-child dyads of typically developing (TD) infants (n = 49; 9-18 months; 48% male) and toddlers with ASD (n = 23; 27.2 Â+ 5.0 months; 91.3% male) to identify how developing language and social skills impact the temporal dynamics of the interaction. Acoustic hierarchical temporal structure (HTS), a measure of the nested clustering of acoustic events across multiple timescales, was measured in free play interactions using Allan Factor. HTS reflects a signal's temporal complexity and variability, with greater HTS indicating reduced flexibility of the dyadic system. Child expressive language significantly predicted HTS (ß = -0.2) longitudinally across TD infants, with greater dyadic HTS associated with lower child language skills. ASD dyads exhibited greater HTS (i.e., more rigid temporal structure) than nonverbal matched (d = 0.41) and expressive language matched TD dyads (d = 0.28). Increased HTS in ASD dyads occurred at timescales>1 s, suggesting greater structuring of pragmatic aspects of interaction. Results provide a new window into how language development and social reciprocity serve as constraints to shape parent-child interaction dynamics and showcase a novel automated approach to characterizing vocal interactions across multiple timescales during early childhood. En ligne : http://dx.doi.org/10.1002/aur.2804 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488

Excessive and less complex body movement in children with autism during face-to-face conversation: An objective approach to behavioral quantification / Zhongbo ZHAO in Autism Research, 15-2 (February 2022)  

Public ISBD [article]  inAutism Research > 15-2 (February 2022) . - p.305-316 Titre : Excessive and less complex body movement in children with autism during face-to-face conversation: An objective approach to behavioral quantification Type de document : texte imprimé Auteurs : Zhongbo ZHAO, Auteur ; Haiming TANG, Auteur ; Camila ALVIAR, Auteur ; Christopher T. KELLO, Auteur ; Xudong ZHANG, Auteur ; Xinyao HU, Auteur ; Xingda QU, Auteur ; Jianping LU, Auteur Année de publication : 2022 Article en page(s) : p.305-316 Langues : Anglais (eng) Mots-clés : autism  complexity matching  face-to-face  movement dynamics  social interaction  spectral analysis Index. décimale : PER Périodiques Résumé : The majority of existing studies investigating characteristics of overt social behavior in individuals with autism spectrum disorder (ASD) relied on informants' evaluation through questionnaires and behavioral coding techniques. As a novelty, this study aimed to quantify the complex movements produced during social interactions in order to test differences in ASD movement dynamics and their convergence, or lack thereof, during social interactions. Twenty children with ASD and twenty-three children with typical development (TD) were videotaped while engaged in a face-to-face conversation with an interviewer. An image differencing technique was utilized to extract the movement time series. Spectral analyses were conducted to quantify the average power of movement, and the fractal scaling of movement. The degree of complexity matching was calculated to capture the level of behavioral coordination between the interviewer and children. Results demonstrated that the average power was significantly higher (p < 0.01), and the fractal scaling was steeper (p < 0.05) in children with ASD, suggesting excessive and less complex movement as compared to the TD peers. Complexity matching occurred between children and interviewers, but there was no reliable difference in the strength of matching between the ASD and TD children. Descriptive trends in the interviewer's behavior suggest that her movements adapted to match both ASD and TD movements equally well. The findings of our study might shed light on seeking novel behavioral markers of ASD, and on developing automatic ASD screening techniques during daily social interactions. LAY SUMMARY: By implementing an objective behavioral quantifying technique, our study demonstrated that children with autism had more body movement during face-to-face conversation, and they moved in a less complex way. The current diagnosis of autism heavily relies on doctor's experiences. These findings suggest a potential that autism might be automatically screened during daily social interactions. En ligne : http://dx.doi.org/10.1002/aur.2646 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 [article] Excessive and less complex body movement in children with autism during face-to-face conversation: An objective approach to behavioral quantification [texte imprimé] / Zhongbo ZHAO, Auteur ; Haiming TANG, Auteur ; Camila ALVIAR, Auteur ; Christopher T. KELLO, Auteur ; Xudong ZHANG, Auteur ; Xinyao HU, Auteur ; Xingda QU, Auteur ; Jianping LU, Auteur . - 2022 . - p.305-316. Langues : Anglais (eng) in Autism Research > 15-2 (February 2022) . - p.305-316 Mots-clés : autism  complexity matching  face-to-face  movement dynamics  social interaction  spectral analysis Index. décimale : PER Périodiques Résumé : The majority of existing studies investigating characteristics of overt social behavior in individuals with autism spectrum disorder (ASD) relied on informants' evaluation through questionnaires and behavioral coding techniques. As a novelty, this study aimed to quantify the complex movements produced during social interactions in order to test differences in ASD movement dynamics and their convergence, or lack thereof, during social interactions. Twenty children with ASD and twenty-three children with typical development (TD) were videotaped while engaged in a face-to-face conversation with an interviewer. An image differencing technique was utilized to extract the movement time series. Spectral analyses were conducted to quantify the average power of movement, and the fractal scaling of movement. The degree of complexity matching was calculated to capture the level of behavioral coordination between the interviewer and children. Results demonstrated that the average power was significantly higher (p < 0.01), and the fractal scaling was steeper (p < 0.05) in children with ASD, suggesting excessive and less complex movement as compared to the TD peers. Complexity matching occurred between children and interviewers, but there was no reliable difference in the strength of matching between the ASD and TD children. Descriptive trends in the interviewer's behavior suggest that her movements adapted to match both ASD and TD movements equally well. The findings of our study might shed light on seeking novel behavioral markers of ASD, and on developing automatic ASD screening techniques during daily social interactions. LAY SUMMARY: By implementing an objective behavioral quantifying technique, our study demonstrated that children with autism had more body movement during face-to-face conversation, and they moved in a less complex way. The current diagnosis of autism heavily relies on doctor's experiences. These findings suggest a potential that autism might be automatically screened during daily social interactions. En ligne : http://dx.doi.org/10.1002/aur.2646 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450

---

1 (1 - 2 / 2) Par page : 25 50 100 200