Conversational adaptation in children and teens with autism: Differences in talkativeness across contexts / Meredith L. COLA in Autism Research, 15-6 (June 2022)  

Public ISBD [article]  inAutism Research > 15-6 (June 2022) . - p.1090-1108 Titre : Conversational adaptation in children and teens with autism: Differences in talkativeness across contexts Type de document : texte imprimé Auteurs : Meredith L. COLA, Auteur ; Casey J. ZAMPELLA, Auteur ; Lisa D. YANKOWITZ, Auteur ; Samantha PLATE, Auteur ; Victoria PETRULLA, Auteur ; Kimberly TENA, Auteur ; Alison RUSSELL, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; Julia PARISH-MORRIS, Auteur Article en page(s) : p.1090-1108 Langues : Anglais (eng) Mots-clés : Adolescent  Autism Spectrum Disorder  Autistic Disorder  Child  Communication  Humans  Language  Social Skills  autism spectrum condition  conversational adaptation  social behavior  social communication Index. décimale : PER Périodiques Résumé : Successful social communication is complex; it relies on effectively deploying and continuously revising one's behavior to fit the needs of a given conversation, partner, and context. For example, a skilled conversationalist may instinctively become less talkative with a quiet partner and more talkative with a chattier one. Prior research suggests that behavioral flexibility across social contexts can be a particular challenge for individuals with autism spectrum condition (ASC), and that difficulty adapting to the changing needs of a conversation contributes to communicative breakdowns and poor social outcomes. In this study, we examine whether reduced conversational adaptation, as measured by talkativeness, differentiates 48 verbally fluent children and teens with ASC from 50 neurotypical (NT) peers matched on age, intelligence quotient, and sex ratio. Participants completed the Contextual Assessment of Social Skills with two novel conversation partners. The first acted interested in the conversation and talked more (Interested condition), while the second acted bored and talked less (Bored condition). Results revealed that NT participants emulated their conversation partner's behavior by being more talkative in the Interested condition as compared to the Bored condition (z = 9.92, p?< 0.001). In contrast, the ASC group did not differentially adapt their behavior to the Bored versus Interested context, instead remaining consistently talkative in both (p = 0.88). The results of this study have implications for understanding social communication and behavioral adaptation in ASC, and may be valuable for clinicians interested in improving conversational competence in verbally fluent individuals with autism. LAY SUMMARY: Social communication-including everyday conversations-can be challenging for individuals on the autism spectrum. In successful conversations, people tend to adjust aspects of their language to be more similar to their partners'. In this study, we found that children and teens with autism did not change their own talkativeness in response to a social partner who was more or less talkative, whereas neurotypical peers did. These findings have clinical implications for improving conversational competence in verbally fluent individuals with autism. En ligne : http://dx.doi.org/10.1002/aur.2693 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 [article] Conversational adaptation in children and teens with autism: Differences in talkativeness across contexts [texte imprimé] / Meredith L. COLA, Auteur ; Casey J. ZAMPELLA, Auteur ; Lisa D. YANKOWITZ, Auteur ; Samantha PLATE, Auteur ; Victoria PETRULLA, Auteur ; Kimberly TENA, Auteur ; Alison RUSSELL, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; Julia PARISH-MORRIS, Auteur . - p.1090-1108. Langues : Anglais (eng) in Autism Research > 15-6 (June 2022) . - p.1090-1108 Mots-clés : Adolescent  Autism Spectrum Disorder  Autistic Disorder  Child  Communication  Humans  Language  Social Skills  autism spectrum condition  conversational adaptation  social behavior  social communication Index. décimale : PER Périodiques Résumé : Successful social communication is complex; it relies on effectively deploying and continuously revising one's behavior to fit the needs of a given conversation, partner, and context. For example, a skilled conversationalist may instinctively become less talkative with a quiet partner and more talkative with a chattier one. Prior research suggests that behavioral flexibility across social contexts can be a particular challenge for individuals with autism spectrum condition (ASC), and that difficulty adapting to the changing needs of a conversation contributes to communicative breakdowns and poor social outcomes. In this study, we examine whether reduced conversational adaptation, as measured by talkativeness, differentiates 48 verbally fluent children and teens with ASC from 50 neurotypical (NT) peers matched on age, intelligence quotient, and sex ratio. Participants completed the Contextual Assessment of Social Skills with two novel conversation partners. The first acted interested in the conversation and talked more (Interested condition), while the second acted bored and talked less (Bored condition). Results revealed that NT participants emulated their conversation partner's behavior by being more talkative in the Interested condition as compared to the Bored condition (z = 9.92, p?< 0.001). In contrast, the ASC group did not differentially adapt their behavior to the Bored versus Interested context, instead remaining consistently talkative in both (p = 0.88). The results of this study have implications for understanding social communication and behavioral adaptation in ASC, and may be valuable for clinicians interested in improving conversational competence in verbally fluent individuals with autism. LAY SUMMARY: Social communication-including everyday conversations-can be challenging for individuals on the autism spectrum. In successful conversations, people tend to adjust aspects of their language to be more similar to their partners'. In this study, we found that children and teens with autism did not change their own talkativeness in response to a social partner who was more or less talkative, whereas neurotypical peers did. These findings have clinical implications for improving conversational competence in verbally fluent individuals with autism. En ligne : http://dx.doi.org/10.1002/aur.2693 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476

Deviation from normative brain development is associated with symptom severity in autism spectrum disorder / B. TUNC in Molecular Autism, 10 (2019)  

Public ISBD [article]  inMolecular Autism > 10 (2019) . - 46 p. Titre : Deviation from normative brain development is associated with symptom severity in autism spectrum disorder Type de document : texte imprimé Auteurs : B. TUNC, Auteur ; Lisa D. YANKOWITZ, Auteur ; Drew PARKER, Auteur ; Jacob A. ALAPPATT, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; Ragini VERMA, Auteur Article en page(s) : 46 p. Langues : Anglais (eng) Mots-clés : Autism  Brain development  Heterogeneity  Machine learning  Normative modeling  Symptom severity Index. décimale : PER Périodiques Résumé : Background: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition. The degree to which the brain development in ASD deviates from typical brain development, and how this deviation relates to observed behavioral outcomes at the individual level are not well-studied. We hypothesize that the degree of deviation from typical brain development of an individual with ASD would relate to observed symptom severity. Methods: The developmental changes in anatomical (cortical thickness, surface area, and volume) and diffusion metrics (fractional anisotropy and apparent diffusion coefficient) were compared between a sample of ASD (n = 247) and typically developing children (TDC) (n = 220) aged 6-25. Machine learning was used to predict age (brain age) from these metrics in the TDC sample, to define a normative model of brain development. This model was then used to compute brain age in the ASD sample. The difference between chronological age and brain age was considered a developmental deviation index (DDI), which was then correlated with ASD symptom severity. Results: Machine learning model trained on all five metrics accurately predicted age in the TDC (r = 0.88) and the ASD (r = 0.85) samples, with dominant contributions to the model from the diffusion metrics. Within the ASD group, the DDI derived from fractional anisotropy was correlated with ASD symptom severity (r = - 0.2), such that individuals with the most advanced brain age showing the lowest severity, and individuals with the most delayed brain age showing the highest severity. Limitations: This work investigated only linear relationships between five specific brain metrics and only one measure of ASD symptom severity in a limited age range. Reported effect sizes are moderate. Further work is needed to investigate developmental differences in other age ranges, other aspects of behavior, other neurobiological measures, and in an independent sample before results can be clinically applicable. Conclusions: Findings demonstrate that the degree of deviation from typical brain development relates to ASD symptom severity, partially accounting for the observed heterogeneity in ASD. Our approach enables characterization of each individual with reference to normative brain development and identification of distinct developmental subtypes, facilitating a better understanding of developmental heterogeneity in ASD. En ligne : http://dx.doi.org/10.1186/s13229-019-0301-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=414 [article] Deviation from normative brain development is associated with symptom severity in autism spectrum disorder [texte imprimé] / B. TUNC, Auteur ; Lisa D. YANKOWITZ, Auteur ; Drew PARKER, Auteur ; Jacob A. ALAPPATT, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; Ragini VERMA, Auteur . - 46 p. Langues : Anglais (eng) in Molecular Autism > 10 (2019) . - 46 p. Mots-clés : Autism  Brain development  Heterogeneity  Machine learning  Normative modeling  Symptom severity Index. décimale : PER Périodiques Résumé : Background: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition. The degree to which the brain development in ASD deviates from typical brain development, and how this deviation relates to observed behavioral outcomes at the individual level are not well-studied. We hypothesize that the degree of deviation from typical brain development of an individual with ASD would relate to observed symptom severity. Methods: The developmental changes in anatomical (cortical thickness, surface area, and volume) and diffusion metrics (fractional anisotropy and apparent diffusion coefficient) were compared between a sample of ASD (n = 247) and typically developing children (TDC) (n = 220) aged 6-25. Machine learning was used to predict age (brain age) from these metrics in the TDC sample, to define a normative model of brain development. This model was then used to compute brain age in the ASD sample. The difference between chronological age and brain age was considered a developmental deviation index (DDI), which was then correlated with ASD symptom severity. Results: Machine learning model trained on all five metrics accurately predicted age in the TDC (r = 0.88) and the ASD (r = 0.85) samples, with dominant contributions to the model from the diffusion metrics. Within the ASD group, the DDI derived from fractional anisotropy was correlated with ASD symptom severity (r = - 0.2), such that individuals with the most advanced brain age showing the lowest severity, and individuals with the most delayed brain age showing the highest severity. Limitations: This work investigated only linear relationships between five specific brain metrics and only one measure of ASD symptom severity in a limited age range. Reported effect sizes are moderate. Further work is needed to investigate developmental differences in other age ranges, other aspects of behavior, other neurobiological measures, and in an independent sample before results can be clinically applicable. Conclusions: Findings demonstrate that the degree of deviation from typical brain development relates to ASD symptom severity, partially accounting for the observed heterogeneity in ASD. Our approach enables characterization of each individual with reference to normative brain development and identification of distinct developmental subtypes, facilitating a better understanding of developmental heterogeneity in ASD. En ligne : http://dx.doi.org/10.1186/s13229-019-0301-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=414

Evidence against the "normalization" prediction of the early brain overgrowth hypothesis of autism / Lisa D. YANKOWITZ in Molecular Autism, 11 (2020)  

Public ISBD [article]  inMolecular Autism > 11 (2020) . - 51 p. Titre : Evidence against the "normalization" prediction of the early brain overgrowth hypothesis of autism Type de document : texte imprimé Auteurs : Lisa D. YANKOWITZ, Auteur ; John D. HERRINGTON, Auteur ; Benjamin E. YERYS, Auteur ; Joseph A. PEREIRA, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur Année de publication : 2020 Article en page(s) : 51 p. Langues : Anglais (eng) Mots-clés : Adolescent  Autism  Brain volume  Iq  Mri  Structural imaging Index. décimale : PER Périodiques Résumé : BACKGROUND: The frequently cited Early Overgrowth Hypothesis of autism spectrum disorder (ASD) postulates that there is overgrowth of the brain in the first 2 years of life, which is followed by a period of arrested growth leading to normalized brain volume in late childhood and beyond. While there is consistent evidence for early brain overgrowth, there is mixed evidence for normalization of brain volume by middle childhood. The outcome of this debate is important to understanding the etiology and neurodevelopmental trajectories of ASD. METHODS: Brain volume was examined in two very large single-site samples of children, adolescents, and adults. The primary sample comprised 456 6-25-year-olds (ASD n = 240, typically developing controls (TDC) n = 216), including a large number of females (n = 102) and spanning a wide IQ range (47-158). The replication sample included 175 males. High-resolution T1-weighted anatomical MRI images were examined for group differences in total brain, cerebellar, ventricular, gray, and white matter volumes. RESULTS: The ASD group had significantly larger total brain, cerebellar, gray matter, white matter, and lateral ventricular volumes in both samples, indicating that brain volume remains enlarged through young adulthood, rather than normalizing. There were no significant age or sex interactions with diagnosis in these measures. However, a significant diagnosis-by-IQ interaction was detected in the larger sample, such that increased brain volume was related to higher IQ in the TDCs, but not in the ASD group. Regions-of-significance analysis indicated that total brain volume was larger in ASD than TDC for individuals with IQ less than 115, providing a potential explanation for prior inconsistent brain size results. No relationships were found between brain volume and measures of autism symptom severity within the ASD group. LIMITATIONS: Our cross-sectional sample may not reflect individual changes over time in brain volume and cannot quantify potential changes in volume prior to age 6. CONCLUSIONS: These findings challenge the "normalization" prediction of the brain overgrowth hypothesis by demonstrating that brain enlargement persists across childhood into early adulthood. The findings raise questions about the clinical implications of brain enlargement, since we find that it neither confers cognitive benefits nor predicts increased symptom severity in ASD. En ligne : http://dx.doi.org/10.1186/s13229-020-00353-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427 [article] Evidence against the "normalization" prediction of the early brain overgrowth hypothesis of autism [texte imprimé] / Lisa D. YANKOWITZ, Auteur ; John D. HERRINGTON, Auteur ; Benjamin E. YERYS, Auteur ; Joseph A. PEREIRA, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur . - 2020 . - 51 p. Langues : Anglais (eng) in Molecular Autism > 11 (2020) . - 51 p. Mots-clés : Adolescent  Autism  Brain volume  Iq  Mri  Structural imaging Index. décimale : PER Périodiques Résumé : BACKGROUND: The frequently cited Early Overgrowth Hypothesis of autism spectrum disorder (ASD) postulates that there is overgrowth of the brain in the first 2 years of life, which is followed by a period of arrested growth leading to normalized brain volume in late childhood and beyond. While there is consistent evidence for early brain overgrowth, there is mixed evidence for normalization of brain volume by middle childhood. The outcome of this debate is important to understanding the etiology and neurodevelopmental trajectories of ASD. METHODS: Brain volume was examined in two very large single-site samples of children, adolescents, and adults. The primary sample comprised 456 6-25-year-olds (ASD n = 240, typically developing controls (TDC) n = 216), including a large number of females (n = 102) and spanning a wide IQ range (47-158). The replication sample included 175 males. High-resolution T1-weighted anatomical MRI images were examined for group differences in total brain, cerebellar, ventricular, gray, and white matter volumes. RESULTS: The ASD group had significantly larger total brain, cerebellar, gray matter, white matter, and lateral ventricular volumes in both samples, indicating that brain volume remains enlarged through young adulthood, rather than normalizing. There were no significant age or sex interactions with diagnosis in these measures. However, a significant diagnosis-by-IQ interaction was detected in the larger sample, such that increased brain volume was related to higher IQ in the TDCs, but not in the ASD group. Regions-of-significance analysis indicated that total brain volume was larger in ASD than TDC for individuals with IQ less than 115, providing a potential explanation for prior inconsistent brain size results. No relationships were found between brain volume and measures of autism symptom severity within the ASD group. LIMITATIONS: Our cross-sectional sample may not reflect individual changes over time in brain volume and cannot quantify potential changes in volume prior to age 6. CONCLUSIONS: These findings challenge the "normalization" prediction of the brain overgrowth hypothesis by demonstrating that brain enlargement persists across childhood into early adulthood. The findings raise questions about the clinical implications of brain enlargement, since we find that it neither confers cognitive benefits nor predicts increased symptom severity in ASD. En ligne : http://dx.doi.org/10.1186/s13229-020-00353-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427

Friend matters: sex differences in social language during autism diagnostic interviews / Meredith L. COLA in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 5p. Titre : Friend matters: sex differences in social language during autism diagnostic interviews Type de document : texte imprimé Auteurs : Meredith L. COLA, Auteur ; Lisa D. YANKOWITZ, Auteur ; Kimberly TENA, Auteur ; Ailsa RUSSELL, Auteur ; Leila BATEMAN, Auteur ; Azia KNOX, Auteur ; Samantha PLATE, Auteur ; Laura S. CUBIT, Auteur ; Casey J. ZAMPELLA, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; Julia PARISH-MORRIS, Auteur Article en page(s) : 5p. Langues : Anglais (eng) Mots-clés : Autism spectrum condition  Autism spectrum disorder  Language  Sex differences  Social phenotype Index. décimale : PER Périodiques Résumé : BACKGROUND: Autistic individuals frequently experience social communication challenges. Girls are diagnosed with autism less often than boys even when their symptoms are equally severe, which may be due to insufficient understanding of the way autism manifests in girls. Differences in the behavioral presentation of autism, including how people talk about social topics, could contribute to these persistent problems with identification. Despite a growing body of research suggesting that autistic girls and boys present distinct symptom profiles in a variety of domains, including social attention, friendships, social motivation, and language, differences in the way that autistic boys and girls communicate verbally are not yet well understood. Closely analyzing boys' and girls' socially-focused language during semi-structured clinical assessments could shed light on potential sex differences in the behavioral presentation of autistic individuals that may prove useful for identifying and effectively supporting autistic girls. Here, we compare social word use in verbally fluent autistic girls and boys during the interview sections of the ADOS-2 Module 3 and measure associations with clinical phenotype. METHODS: School-aged girls and boys with autism (N = 101, 25 females; aged 6-15) were matched on age, IQ, and parent/clinician ratings of autism symptom severity. Our primary analysis compared the number of social words produced by autistic boys and girls (normalized to account for differences in total word production). Social words are words that make reference to other people, including friends and family. RESULTS: There was a significant main effect of sex on social word production, such that autistic girls used more social words than autistic boys. To identify the specific types of words driving this effect, additional subcategories of friend and family words were analyzed. There was a significant effect of sex on friend words, with girls using significantly more friend words than boys. However, there was no significant main effect of sex on family words, suggesting that sex differences in social word production may be driven by girls talking more about friends compared to boys, not family. To assess relationships between word use and clinical phenotype, we modeled ADOS-2 Social Affect (SA) scores as a function of social word production. In the overall sample, social word use correlated significantly with ADOS-2 SA scores, indicating that participants who used more social words were rated as less socially impaired by clinicians. However, when examined in each sex separately, this result only held for boys. LIMITATIONS: This study cannot speak to the ways in which social word use may differ for younger children, adults, or individuals who are not verbally fluent; in addition, there were more autistic boys than girls in our sample, making it difficult to detect small effects. CONCLUSIONS: Autistic girls used significantly more social words than boys during a diagnostic assessment-despite being matched on age, IQ, and both parent- and clinician-rated autism symptom severity. Sex differences in linguistic markers of social phenotype in autism are especially important in light of the late or missed diagnoses that disproportionately affect autistic girls. Specifically, heightened talk about social topics could complicate autism referral and diagnosis when non-clinician observers expect a male-typical pattern of reduced social focus, which autistic girls may not always exhibit. En ligne : http://dx.doi.org/10.1186/s13229-021-00483-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459 [article] Friend matters: sex differences in social language during autism diagnostic interviews [texte imprimé] / Meredith L. COLA, Auteur ; Lisa D. YANKOWITZ, Auteur ; Kimberly TENA, Auteur ; Ailsa RUSSELL, Auteur ; Leila BATEMAN, Auteur ; Azia KNOX, Auteur ; Samantha PLATE, Auteur ; Laura S. CUBIT, Auteur ; Casey J. ZAMPELLA, Auteur ; Juhi PANDEY, Auteur ; Robert T. SCHULTZ, Auteur ; Julia PARISH-MORRIS, Auteur . - 5p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 5p. Mots-clés : Autism spectrum condition  Autism spectrum disorder  Language  Sex differences  Social phenotype Index. décimale : PER Périodiques Résumé : BACKGROUND: Autistic individuals frequently experience social communication challenges. Girls are diagnosed with autism less often than boys even when their symptoms are equally severe, which may be due to insufficient understanding of the way autism manifests in girls. Differences in the behavioral presentation of autism, including how people talk about social topics, could contribute to these persistent problems with identification. Despite a growing body of research suggesting that autistic girls and boys present distinct symptom profiles in a variety of domains, including social attention, friendships, social motivation, and language, differences in the way that autistic boys and girls communicate verbally are not yet well understood. Closely analyzing boys' and girls' socially-focused language during semi-structured clinical assessments could shed light on potential sex differences in the behavioral presentation of autistic individuals that may prove useful for identifying and effectively supporting autistic girls. Here, we compare social word use in verbally fluent autistic girls and boys during the interview sections of the ADOS-2 Module 3 and measure associations with clinical phenotype. METHODS: School-aged girls and boys with autism (N = 101, 25 females; aged 6-15) were matched on age, IQ, and parent/clinician ratings of autism symptom severity. Our primary analysis compared the number of social words produced by autistic boys and girls (normalized to account for differences in total word production). Social words are words that make reference to other people, including friends and family. RESULTS: There was a significant main effect of sex on social word production, such that autistic girls used more social words than autistic boys. To identify the specific types of words driving this effect, additional subcategories of friend and family words were analyzed. There was a significant effect of sex on friend words, with girls using significantly more friend words than boys. However, there was no significant main effect of sex on family words, suggesting that sex differences in social word production may be driven by girls talking more about friends compared to boys, not family. To assess relationships between word use and clinical phenotype, we modeled ADOS-2 Social Affect (SA) scores as a function of social word production. In the overall sample, social word use correlated significantly with ADOS-2 SA scores, indicating that participants who used more social words were rated as less socially impaired by clinicians. However, when examined in each sex separately, this result only held for boys. LIMITATIONS: This study cannot speak to the ways in which social word use may differ for younger children, adults, or individuals who are not verbally fluent; in addition, there were more autistic boys than girls in our sample, making it difficult to detect small effects. CONCLUSIONS: Autistic girls used significantly more social words than boys during a diagnostic assessment-despite being matched on age, IQ, and both parent- and clinician-rated autism symptom severity. Sex differences in linguistic markers of social phenotype in autism are especially important in light of the late or missed diagnoses that disproportionately affect autistic girls. Specifically, heightened talk about social topics could complicate autism referral and diagnosis when non-clinician observers expect a male-typical pattern of reduced social focus, which autistic girls may not always exhibit. En ligne : http://dx.doi.org/10.1186/s13229-021-00483-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459

Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life / Lisa D. YANKOWITZ in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 28 p. Titre : Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life Type de document : texte imprimé Auteurs : Lisa D. YANKOWITZ, Auteur ; Victoria PETRULLA, Auteur ; Samantha PLATE, Auteur ; B. TUNC, Auteur ; Whitney GUTHRIE, Auteur ; Shoba S. MEERA, Auteur ; Kimberly TENA, Auteur ; Juhi PANDEY, Auteur ; Meghan R. SWANSON, Auteur ; John R. PRUETT, Auteur ; Meredith L. COLA, Auteur ; Ailsa RUSSELL, Auteur ; Natasha M. MARRUS, Auteur ; Heather C. HAZLETT, Auteur ; Kelly BOTTERON, Auteur ; John N. CONSTANTINO, Auteur ; Stephen R. DAGER, Auteur ; Annette ESTES, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Joseph PIVEN, Auteur ; Robert T. SCHULTZ, Auteur ; Julia PARISH-MORRIS, Auteur Article en page(s) : 28 p. Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Humans  Infant  Language Development Disorders/diagnosis  Longitudinal Studies  Reproducibility of Results Index. décimale : PER Périodiques Résumé : BACKGROUND: Canonical babbling-producing syllables with a mature consonant, full vowel, and smooth transition-is an important developmental milestone that typically occurs in the first year of life. Some studies indicate delayed or reduced canonical babbling in infants at high familial likelihood for autism spectrum disorder (ASD) or who later receive an ASD diagnosis, but evidence is mixed. More refined characterization of babbling in the first year of life in infants with high likelihood for ASD is needed. METHODS: Vocalizations produced at 6 and 12 months by infants (n=267) taking part in a longitudinal study were coded for canonical and non-canonical syllables. Infants were categorized as low familial likelihood (LL), high familial likelihood diagnosed with ASD at 24 months (HL-ASD) or not diagnosed (HL-Neg). Language delay was assessed based on 24-month expressive and receptive language scores. Canonical babble ratio (CBR) was calculated by dividing the number of canonical syllables by the number of total syllables. Generalized linear (mixed) models were used to assess the relationship between group membership and CBR, controlling for site, sex, and maternal education. Logistic regression was used to assess whether canonical babbling ratios at 6 and 12 months predict 24-month diagnostic outcome. RESULTS: No diagnostic group differences in CBR were detected at 6 months, but HL-ASD infants produced significantly lower CBR than both the HL-Neg and LL groups at 12 months. HL-Neg infants with language delay also showed reduced CBR at 12 months. Neither 6- nor 12-month CBR was significant predictors of 24-month diagnostic outcome (ASD versus no ASD) in logistic regression. LIMITATIONS: Small numbers of vocalizations produced by infants at 6 months may limit the reliability of CBR estimates. It is not known if results generalize to infants who are not at high familial likelihood, or infants from more diverse racial and socioeconomic backgrounds. CONCLUSIONS: Lower canonical babbling ratios are apparent by the end of the first year of life in ASD regardless of later language delay, but are also observed for infants with later language delay without ASD. Canonical babbling may lack specificity as an early marker when used on its own. En ligne : http://dx.doi.org/10.1186/s13229-022-00503-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 [article] Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life [texte imprimé] / Lisa D. YANKOWITZ, Auteur ; Victoria PETRULLA, Auteur ; Samantha PLATE, Auteur ; B. TUNC, Auteur ; Whitney GUTHRIE, Auteur ; Shoba S. MEERA, Auteur ; Kimberly TENA, Auteur ; Juhi PANDEY, Auteur ; Meghan R. SWANSON, Auteur ; John R. PRUETT, Auteur ; Meredith L. COLA, Auteur ; Ailsa RUSSELL, Auteur ; Natasha M. MARRUS, Auteur ; Heather C. HAZLETT, Auteur ; Kelly BOTTERON, Auteur ; John N. CONSTANTINO, Auteur ; Stephen R. DAGER, Auteur ; Annette ESTES, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Joseph PIVEN, Auteur ; Robert T. SCHULTZ, Auteur ; Julia PARISH-MORRIS, Auteur . - 28 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 28 p. Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Humans  Infant  Language Development Disorders/diagnosis  Longitudinal Studies  Reproducibility of Results Index. décimale : PER Périodiques Résumé : BACKGROUND: Canonical babbling-producing syllables with a mature consonant, full vowel, and smooth transition-is an important developmental milestone that typically occurs in the first year of life. Some studies indicate delayed or reduced canonical babbling in infants at high familial likelihood for autism spectrum disorder (ASD) or who later receive an ASD diagnosis, but evidence is mixed. More refined characterization of babbling in the first year of life in infants with high likelihood for ASD is needed. METHODS: Vocalizations produced at 6 and 12 months by infants (n=267) taking part in a longitudinal study were coded for canonical and non-canonical syllables. Infants were categorized as low familial likelihood (LL), high familial likelihood diagnosed with ASD at 24 months (HL-ASD) or not diagnosed (HL-Neg). Language delay was assessed based on 24-month expressive and receptive language scores. Canonical babble ratio (CBR) was calculated by dividing the number of canonical syllables by the number of total syllables. Generalized linear (mixed) models were used to assess the relationship between group membership and CBR, controlling for site, sex, and maternal education. Logistic regression was used to assess whether canonical babbling ratios at 6 and 12 months predict 24-month diagnostic outcome. RESULTS: No diagnostic group differences in CBR were detected at 6 months, but HL-ASD infants produced significantly lower CBR than both the HL-Neg and LL groups at 12 months. HL-Neg infants with language delay also showed reduced CBR at 12 months. Neither 6- nor 12-month CBR was significant predictors of 24-month diagnostic outcome (ASD versus no ASD) in logistic regression. LIMITATIONS: Small numbers of vocalizations produced by infants at 6 months may limit the reliability of CBR estimates. It is not known if results generalize to infants who are not at high familial likelihood, or infants from more diverse racial and socioeconomic backgrounds. CONCLUSIONS: Lower canonical babbling ratios are apparent by the end of the first year of life in ASD regardless of later language delay, but are also observed for infants with later language delay without ASD. Canonical babbling may lack specificity as an early marker when used on its own. En ligne : http://dx.doi.org/10.1186/s13229-022-00503-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491

Linguistic markers of autism in girls: evidence of a "blended phenotype" during storytelling / Jaclin BOORSE in Molecular Autism, 10 (2019)  

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Natural language markers of social phenotype in girls with autism / Amber SONG in Journal of Child Psychology and Psychiatry, 62-8 (August 2021)  

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Sex differences in the first impressions made by girls and boys with autism / Meredith L. COLA in Molecular Autism, 11 (2020)  

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