Association Between Exposure of Children to General Anesthesia and Autism Spectrum Disorder / Mariana L. LAPORTA in Journal of Autism and Developmental Disorders, 52-10 (October 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-10 (October 2022) . - p.4301-4310 Titre : Association Between Exposure of Children to General Anesthesia and Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Mariana L. LAPORTA, Auteur ; Juraj SPRUNG, Auteur ; Caroline A. FEJEDELEM, Auteur ; Dustin T. HENNING, Auteur ; Amy L. WEAVER, Auteur ; Andrew C. HANSON, Auteur ; Darrell R. SCHROEDER, Auteur ; Scott M. MYERS, Auteur ; Robert G. VOIGT, Auteur ; Toby N. WEINGARTEN, Auteur ; Randall P. FLICK, Auteur ; David O. WARNER, Auteur Article en page(s) : p.4301-4310 Langues : Anglais (eng) Mots-clés : Asd  Anesthesia  Autism  Childhood  Neurodevelopmental disorders Index. décimale : PER Périodiques Résumé : This study tested the hypothesis that exposure of children prior to their third birthday to procedures requiring general anesthesia is associated with an increased incidence of autism spectrum disorder (ASD) in later life. This study employed a nested, 1:2 matched-case control study design using ASD cases identified in a population-based birth cohort of children born in Olmsted County, MN from 1976 to 2000. Matching variables included sex, date of birth, and mother's age in conditional logistic regression including 499 ASD cases and 998 controls. After adjusting for birth weight and health status, there was no significant association between exposure and ASD (OR 1.27 [95% CI 0.92-1.76]), indicating that general anesthesia is not associated with an increased risk of ASD. En ligne : http://dx.doi.org/10.1007/s10803-021-05305-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 [article] Association Between Exposure of Children to General Anesthesia and Autism Spectrum Disorder [texte imprimé] / Mariana L. LAPORTA, Auteur ; Juraj SPRUNG, Auteur ; Caroline A. FEJEDELEM, Auteur ; Dustin T. HENNING, Auteur ; Amy L. WEAVER, Auteur ; Andrew C. HANSON, Auteur ; Darrell R. SCHROEDER, Auteur ; Scott M. MYERS, Auteur ; Robert G. VOIGT, Auteur ; Toby N. WEINGARTEN, Auteur ; Randall P. FLICK, Auteur ; David O. WARNER, Auteur . - p.4301-4310. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-10 (October 2022) . - p.4301-4310 Mots-clés : Asd  Anesthesia  Autism  Childhood  Neurodevelopmental disorders Index. décimale : PER Périodiques Résumé : This study tested the hypothesis that exposure of children prior to their third birthday to procedures requiring general anesthesia is associated with an increased incidence of autism spectrum disorder (ASD) in later life. This study employed a nested, 1:2 matched-case control study design using ASD cases identified in a population-based birth cohort of children born in Olmsted County, MN from 1976 to 2000. Matching variables included sex, date of birth, and mother's age in conditional logistic regression including 499 ASD cases and 998 controls. After adjusting for birth weight and health status, there was no significant association between exposure and ASD (OR 1.27 [95% CI 0.92-1.76]), indicating that general anesthesia is not associated with an increased risk of ASD. En ligne : http://dx.doi.org/10.1007/s10803-021-05305-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486

Autism Spectrum Disorder: Incidence and Time Trends Over Two Decades in a Population-Based Birth Cohort / Scott M. MYERS in Journal of Autism and Developmental Disorders, 49-4 (April 2019)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 49-4 (April 2019) . - p.1455-1474 Titre : Autism Spectrum Disorder: Incidence and Time Trends Over Two Decades in a Population-Based Birth Cohort Type de document : texte imprimé Auteurs : Scott M. MYERS, Auteur ; Robert G. VOIGT, Auteur ; Robert C. COLLIGAN, Auteur ; Amy L. WEAVER, Auteur ; Curtis B. STORLIE, Auteur ; Ruth E. STOECKEL, Auteur ; John D. PORT, Auteur ; Slavica K. KATUSIC, Auteur Article en page(s) : p.1455-1474 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Epidemiology  Incidence  Time trends Index. décimale : PER Périodiques Résumé : We retrospectively identified autism spectrum disorder (ASD) incident cases among 31,220 individuals in a population-based birth cohort based on signs and symptoms uniformly abstracted from medical and educational records. Inclusive and narrow research definitions of ASD (ASD-RI and ASD-RN, respectively) were explored, along with clinical diagnoses of ASD (ASD-C) obtained from the records. The incidence of ASD-RI, ASD-RN, and ASD-C increased significantly from 1985 to 1998, then ASD-RI and ASD-RN plateaued while the rate of ASD-C continued to increase during 1998-2004. The rising incidence of research-defined ASD may reflect improved recognition and documentation of ASD signs and symptoms. Although the frequency of threshold ASD symptoms stabilized, the rate of ASD-C continued to increase, narrowing the gap between clinical ascertainment and symptom documentation. En ligne : https://dx.doi.org/10.1007/s10803-018-3834-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=388 [article] Autism Spectrum Disorder: Incidence and Time Trends Over Two Decades in a Population-Based Birth Cohort [texte imprimé] / Scott M. MYERS, Auteur ; Robert G. VOIGT, Auteur ; Robert C. COLLIGAN, Auteur ; Amy L. WEAVER, Auteur ; Curtis B. STORLIE, Auteur ; Ruth E. STOECKEL, Auteur ; John D. PORT, Auteur ; Slavica K. KATUSIC, Auteur . - p.1455-1474. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 49-4 (April 2019) . - p.1455-1474 Mots-clés : Autism spectrum disorder  Epidemiology  Incidence  Time trends Index. décimale : PER Périodiques Résumé : We retrospectively identified autism spectrum disorder (ASD) incident cases among 31,220 individuals in a population-based birth cohort based on signs and symptoms uniformly abstracted from medical and educational records. Inclusive and narrow research definitions of ASD (ASD-RI and ASD-RN, respectively) were explored, along with clinical diagnoses of ASD (ASD-C) obtained from the records. The incidence of ASD-RI, ASD-RN, and ASD-C increased significantly from 1985 to 1998, then ASD-RI and ASD-RN plateaued while the rate of ASD-C continued to increase during 1998-2004. The rising incidence of research-defined ASD may reflect improved recognition and documentation of ASD signs and symptoms. Although the frequency of threshold ASD symptoms stabilized, the rate of ASD-C continued to increase, narrowing the gap between clinical ascertainment and symptom documentation. En ligne : https://dx.doi.org/10.1007/s10803-018-3834-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=388

Childhood ADHD is strongly associated with a broad range of psychiatric disorders during adolescence: a population-based birth cohort study / Kouichi YOSHIMASU in Journal of Child Psychology and Psychiatry, 53-10 (October 2012)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 53-10 (October 2012) . - p.1036-43 Titre : Childhood ADHD is strongly associated with a broad range of psychiatric disorders during adolescence: a population-based birth cohort study Type de document : texte imprimé Auteurs : Kouichi YOSHIMASU, Auteur ; William J. BARBARESI, Auteur ; Robert C. COLLIGAN, Auteur ; Robert G. VOIGT, Auteur ; Jill M. KILLIAN, Auteur ; Amy L. WEAVER, Auteur ; Slavica K. KATUSIC, Auteur Année de publication : 2012 Article en page(s) : p.1036-43 Langues : Anglais (eng) Mots-clés : ADD/ADHD  psychiatric practice  epidemiology Index. décimale : PER Périodiques Résumé : Background:  To evaluate associations between attention-deficit/hyperactivity disorder (ADHD) and comorbid psychiatric disorders using research-identified incident cases of ADHD and population-based controls. Methods:  Subjects included a birth cohort of all children born 1976–1982 remaining in Rochester, MN after age five (n = 5,718). Among them we identified 379 ADHD incident cases and 758 age-gender matched non-ADHD controls, passively followed to age 19 years. All psychiatric diagnoses were identified and abstracted, but only those confirmed by qualified medical professionals were included in the analysis. For each psychiatric disorder, cumulative incidence rates for subjects with and without ADHD were estimated using the Kaplan–Meier method. Corresponding hazard ratios (HR) were estimated using Cox models adjusted for gender and mother’s age and education at the subject’s birth. The association between ADHD and the likelihood of having an internalizing or externalizing disorder was summarized by estimating odds ratios (OR). Results:  Attention-deficit/hyperactivity disorder was associated with a significantly increased risk of adjustment disorders (HR = 3.88), conduct/oppositional defiant disorder (HR = 9.54), mood disorders (HR = 3.67), anxiety disorders (HR = 2.94), tic disorders (HR = 6.53), eating disorders (HR = 5.68), personality disorders (HR = 5.80), and substance-related disorders (HR = 4.03). When psychiatric comorbidities were classified on the internalization-externalization dimension, ADHD was strongly associated with coexisting internalizing/externalizing (OR = 10.6), or externalizing-only (OR = 10.0) disorders. Conclusion:  This population-based study confirms that children with ADHD are at significantly increased risk for a wide range of psychiatric disorders. Besides treating the ADHD, clinicians should identify and provide appropriate treatment for psychiatric comorbidities. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02567.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=181 [article] Childhood ADHD is strongly associated with a broad range of psychiatric disorders during adolescence: a population-based birth cohort study [texte imprimé] / Kouichi YOSHIMASU, Auteur ; William J. BARBARESI, Auteur ; Robert C. COLLIGAN, Auteur ; Robert G. VOIGT, Auteur ; Jill M. KILLIAN, Auteur ; Amy L. WEAVER, Auteur ; Slavica K. KATUSIC, Auteur . - 2012 . - p.1036-43. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 53-10 (October 2012) . - p.1036-43 Mots-clés : ADD/ADHD  psychiatric practice  epidemiology Index. décimale : PER Périodiques Résumé : Background:  To evaluate associations between attention-deficit/hyperactivity disorder (ADHD) and comorbid psychiatric disorders using research-identified incident cases of ADHD and population-based controls. Methods:  Subjects included a birth cohort of all children born 1976–1982 remaining in Rochester, MN after age five (n = 5,718). Among them we identified 379 ADHD incident cases and 758 age-gender matched non-ADHD controls, passively followed to age 19 years. All psychiatric diagnoses were identified and abstracted, but only those confirmed by qualified medical professionals were included in the analysis. For each psychiatric disorder, cumulative incidence rates for subjects with and without ADHD were estimated using the Kaplan–Meier method. Corresponding hazard ratios (HR) were estimated using Cox models adjusted for gender and mother’s age and education at the subject’s birth. The association between ADHD and the likelihood of having an internalizing or externalizing disorder was summarized by estimating odds ratios (OR). Results:  Attention-deficit/hyperactivity disorder was associated with a significantly increased risk of adjustment disorders (HR = 3.88), conduct/oppositional defiant disorder (HR = 9.54), mood disorders (HR = 3.67), anxiety disorders (HR = 2.94), tic disorders (HR = 6.53), eating disorders (HR = 5.68), personality disorders (HR = 5.80), and substance-related disorders (HR = 4.03). When psychiatric comorbidities were classified on the internalization-externalization dimension, ADHD was strongly associated with coexisting internalizing/externalizing (OR = 10.6), or externalizing-only (OR = 10.0) disorders. Conclusion:  This population-based study confirms that children with ADHD are at significantly increased risk for a wide range of psychiatric disorders. Besides treating the ADHD, clinicians should identify and provide appropriate treatment for psychiatric comorbidities. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02567.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=181

Pre-trained artificial intelligence language model represents pragmatic language variability central to autism and genetically related phenotypes / Joseph C.Y. LAU in Autism, 29-5 (May 2025)  

Public ISBD [article]  inAutism > 29-5 (May 2025) . - p.1346-1358 Titre : Pre-trained artificial intelligence language model represents pragmatic language variability central to autism and genetically related phenotypes Type de document : texte imprimé Auteurs : Joseph C.Y. LAU, Auteur ; Emily LANDAU, Auteur ; Qingcheng ZENG, Auteur ; Ruichun ZHANG, Auteur ; Stephanie CRAWFORD, Auteur ; Rob VOIGT, Auteur ; Molly LOSH, Auteur Article en page(s) : p.1346-1358 Langues : Anglais (eng) Mots-clés : artificial intelligence  autism  broad autism phenotype  FMR1 premutation  fragile X  pragmatic language  pre-trained language model Index. décimale : PER Périodiques Résumé : Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor intensive, and not readily applied in ample sample sizes. This proof-of-concept methodological study employed an artificial intelligence pre-trained language model, Bidirectional Encoder Representations from Transformers, as a tool to address such challenges. We applied Bidirectional Encoder Representations from Transformers to computationally index pragmatic-related variability in autism and in genetically related phenotypes displaying pragmatic differences, namely, in parents of autistic individuals, fragile X syndrome, and FMR1 premutation. Findings suggest that without model fine-tuning, Bidirectional Encoder Representations from Transformers?s Next Sentence Prediction module was able to derive estimates that differentiate autistic from non-autistic groups. Moreover, such computational estimates correlated with manually coded characterization of pragmatic abilities that contribute to conversational coherence, not only in autism but also in the other genetically related phenotypes. This study represents a step forward in evaluating the efficacy of artificial intelligence language models for capturing clinically important pragmatic differences and variability related to autism, showcasing the potential of artificial intelligence to provide automatized, efficient, and objective tools for pragmatic characterization to help advance the field.Lay abstract Autism is clinically defined by challenges with social language, including difficulties offering on-topic language in a conversation. Similar differences are also seen in genetically related conditions such as fragile X syndrome (FXS), and even among those carrying autism-related genes who do not have clinical diagnoses (e.g., the first-degree relatives of autistic individuals and carriers of the FMR1 premutation), which suggests there are genetic influences on social language related to the genes involved in autism. Characterization of social language is therefore important for informing potential intervention strategies and understanding the causes of communication challenges in autism. However, current tools for characterizing social language in both clinical and research settings are very time and labor intensive. In this study, we test an automized computational method that may address this problem. We used a type of artificial intelligence known as pre-trained language model to measure aspects of social language in autistic individuals and their parents, non-autistic comparison groups, and individuals with FXS and the FMR1 premutation. Findings suggest that these artificial intelligence approaches were able to identify differences in social language in autism, and to provide insight into the individuals' ability to keep a conversation on-topic. These findings also were associated with broader measures of participants' social communication ability. This study is one of the first to use artificial intelligence models to capture important differences in social language in autism and genetically related groups, demonstrating how artificial intelligence might be used to provide automatized, efficient, and objective tools for language characterization. En ligne : https://dx.doi.org/10.1177/13623613241304488 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Pre-trained artificial intelligence language model represents pragmatic language variability central to autism and genetically related phenotypes [texte imprimé] / Joseph C.Y. LAU, Auteur ; Emily LANDAU, Auteur ; Qingcheng ZENG, Auteur ; Ruichun ZHANG, Auteur ; Stephanie CRAWFORD, Auteur ; Rob VOIGT, Auteur ; Molly LOSH, Auteur . - p.1346-1358. Langues : Anglais (eng) in Autism > 29-5 (May 2025) . - p.1346-1358 Mots-clés : artificial intelligence  autism  broad autism phenotype  FMR1 premutation  fragile X  pragmatic language  pre-trained language model Index. décimale : PER Périodiques Résumé : Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor intensive, and not readily applied in ample sample sizes. This proof-of-concept methodological study employed an artificial intelligence pre-trained language model, Bidirectional Encoder Representations from Transformers, as a tool to address such challenges. We applied Bidirectional Encoder Representations from Transformers to computationally index pragmatic-related variability in autism and in genetically related phenotypes displaying pragmatic differences, namely, in parents of autistic individuals, fragile X syndrome, and FMR1 premutation. Findings suggest that without model fine-tuning, Bidirectional Encoder Representations from Transformers?s Next Sentence Prediction module was able to derive estimates that differentiate autistic from non-autistic groups. Moreover, such computational estimates correlated with manually coded characterization of pragmatic abilities that contribute to conversational coherence, not only in autism but also in the other genetically related phenotypes. This study represents a step forward in evaluating the efficacy of artificial intelligence language models for capturing clinically important pragmatic differences and variability related to autism, showcasing the potential of artificial intelligence to provide automatized, efficient, and objective tools for pragmatic characterization to help advance the field.Lay abstract Autism is clinically defined by challenges with social language, including difficulties offering on-topic language in a conversation. Similar differences are also seen in genetically related conditions such as fragile X syndrome (FXS), and even among those carrying autism-related genes who do not have clinical diagnoses (e.g., the first-degree relatives of autistic individuals and carriers of the FMR1 premutation), which suggests there are genetic influences on social language related to the genes involved in autism. Characterization of social language is therefore important for informing potential intervention strategies and understanding the causes of communication challenges in autism. However, current tools for characterizing social language in both clinical and research settings are very time and labor intensive. In this study, we test an automized computational method that may address this problem. We used a type of artificial intelligence known as pre-trained language model to measure aspects of social language in autistic individuals and their parents, non-autistic comparison groups, and individuals with FXS and the FMR1 premutation. Findings suggest that these artificial intelligence approaches were able to identify differences in social language in autism, and to provide insight into the individuals' ability to keep a conversation on-topic. These findings also were associated with broader measures of participants' social communication ability. This study is one of the first to use artificial intelligence models to capture important differences in social language in autism and genetically related groups, demonstrating how artificial intelligence might be used to provide automatized, efficient, and objective tools for language characterization. En ligne : https://dx.doi.org/10.1177/13623613241304488 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

Stepped-Care Cognitive Behavioral Therapy in Children on the Autism Spectrum with Co-occurring Anxiety / Sophie C. SCHNEIDER ; Sean M. OLSEN ; Ana C. RAMIREZ ; Leandra N. BERRY ; Robin P. GOIN-KOCHEL ; Morgan M. MCNEEL ; Abigail E. CANDELARI ; Andrew G. GUZICK ; Sandra L. CEPEDA ; Saira WEINZIMMER ; Robert G. VOIGT ; Troy QUAST ; Wayne K. GOODMAN ; Alison SALLOUM in Journal of Autism and Developmental Disorders, 54-1 (January 2024)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 54-1 (January 2024) . - p.93-108 Titre : Stepped-Care Cognitive Behavioral Therapy in Children on the Autism Spectrum with Co-occurring Anxiety Type de document : texte imprimé Auteurs : Sophie C. SCHNEIDER, Auteur ; Sean M. OLSEN, Auteur ; Ana C. RAMIREZ, Auteur ; Leandra N. BERRY, Auteur ; Robin P. GOIN-KOCHEL, Auteur ; Morgan M. MCNEEL, Auteur ; Abigail E. CANDELARI, Auteur ; Andrew G. GUZICK, Auteur ; Sandra L. CEPEDA, Auteur ; Saira WEINZIMMER, Auteur ; Robert G. VOIGT, Auteur ; Troy QUAST, Auteur ; Wayne K. GOODMAN, Auteur ; Alison SALLOUM, Auteur Article en page(s) : p.93-108 Index. décimale : PER Périodiques Résumé : This trial examined stepped-care cognitive-behavioral treatment (CBT) among 96 autistic youth with co-occurring anxiety. Step 1 included an open trial of parent-led, therapist-guided bibliotherapy. Step 2 was family-based CBT for those who did not respond to Step 1 or maintenance for those who did. Eighteen participants (28%) who completed Step 1 responded. Responders reported significantly lower pre-treatment anxiety, internalizing symptoms, and functional impairment than non-responders. After Steps 1 and 2, 80% of completers (55% intent-to-treat) were responders. Anxiety, impairment, and ASD-related impairments significantly improved. Youth in maintenance experienced faster improvement through post-treatment, though there were no group differences at 3-month-follow-up. A stepped approach may help some individuals in Step 1, particularly those who are less anxious. En ligne : https://doi.org/10.1007/s10803-022-05775-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=520 [article] Stepped-Care Cognitive Behavioral Therapy in Children on the Autism Spectrum with Co-occurring Anxiety [texte imprimé] / Sophie C. SCHNEIDER, Auteur ; Sean M. OLSEN, Auteur ; Ana C. RAMIREZ, Auteur ; Leandra N. BERRY, Auteur ; Robin P. GOIN-KOCHEL, Auteur ; Morgan M. MCNEEL, Auteur ; Abigail E. CANDELARI, Auteur ; Andrew G. GUZICK, Auteur ; Sandra L. CEPEDA, Auteur ; Saira WEINZIMMER, Auteur ; Robert G. VOIGT, Auteur ; Troy QUAST, Auteur ; Wayne K. GOODMAN, Auteur ; Alison SALLOUM, Auteur . - p.93-108. in Journal of Autism and Developmental Disorders > 54-1 (January 2024) . - p.93-108 Index. décimale : PER Périodiques Résumé : This trial examined stepped-care cognitive-behavioral treatment (CBT) among 96 autistic youth with co-occurring anxiety. Step 1 included an open trial of parent-led, therapist-guided bibliotherapy. Step 2 was family-based CBT for those who did not respond to Step 1 or maintenance for those who did. Eighteen participants (28%) who completed Step 1 responded. Responders reported significantly lower pre-treatment anxiety, internalizing symptoms, and functional impairment than non-responders. After Steps 1 and 2, 80% of completers (55% intent-to-treat) were responders. Anxiety, impairment, and ASD-related impairments significantly improved. Youth in maintenance experienced faster improvement through post-treatment, though there were no group differences at 3-month-follow-up. A stepped approach may help some individuals in Step 1, particularly those who are less anxious. En ligne : https://doi.org/10.1007/s10803-022-05775-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=520

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