Objective measurement of movement variability using wearable sensors predicts ASD outcomes in infants at high likelihood for ASD and ADHD / Sitaram VANGALA ; Rachel REETZKE ; Antonia PIERGIES ; Sally OZONOFF ; Meghan MILLER in Autism Research, 17-6 (June 2024)  

Public ISBD [article]  inAutism Research > 17-6 (June 2024) . - p.1094-1105 Titre : Objective measurement of movement variability using wearable sensors predicts ASD outcomes in infants at high likelihood for ASD and ADHD Type de document : texte imprimé Auteurs : Sitaram VANGALA, Auteur ; Rachel REETZKE, Auteur ; Antonia PIERGIES, Auteur ; Sally OZONOFF, Auteur ; Meghan MILLER, Auteur Article en page(s) : p.1094-1105 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Early motor delays and differences are common among children with autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD). Yet, little work has shown whether there are early atypical motor signs that differentiate these groups. Quantitative measures of movement variability hold promise for improving the identification of subtle and specific differences in motor function among infants and toddlers at high likelihood for ASD and ADHD. To this end, we created a novel quantitative measure of movement variability (movement curvature) and conducted a preliminary investigation as to whether this measure improves outcome predictions. We used a wearable triaxial accelerometer to evaluate continuous motion-based activity in infants at high and low likelihood for ASD and ADHD at 12, 18, 24, and 36 months of age. At 36 months, participants were categorized into three outcome groups: ASD (n = 19), ADHD concerns (n = 17), and a comparison group (n = 82). We examined group differences in movement curvature and whether movement curvature is predictive of a later ASD or ADHD concerns classification. We found that movement curvature was significantly lower in infants with later ASD diagnosis at 18, 24, and 36 months of age compared to infants with either ADHD concerns or those in the comparison group. Movement curvature was also a significant predictor of ASD at 18, 24, and 36 months (AUC 0.66-0.71; p = 0.005-0.039) and when adjusting for high ASD likelihood at 18 and 24 months (AUC 0.90, p = 0.05-0.019). These results indicate that lower movement curvature may be a feature of early motor differences in infants with later ASD diagnosis as early as 18 months of age. En ligne : https://doi.org/10.1002/aur.3150 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=531 [article] Objective measurement of movement variability using wearable sensors predicts ASD outcomes in infants at high likelihood for ASD and ADHD [texte imprimé] / Sitaram VANGALA, Auteur ; Rachel REETZKE, Auteur ; Antonia PIERGIES, Auteur ; Sally OZONOFF, Auteur ; Meghan MILLER, Auteur . - p.1094-1105. Langues : Anglais (eng) in Autism Research > 17-6 (June 2024) . - p.1094-1105 Index. décimale : PER Périodiques Résumé : Abstract Early motor delays and differences are common among children with autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD). Yet, little work has shown whether there are early atypical motor signs that differentiate these groups. Quantitative measures of movement variability hold promise for improving the identification of subtle and specific differences in motor function among infants and toddlers at high likelihood for ASD and ADHD. To this end, we created a novel quantitative measure of movement variability (movement curvature) and conducted a preliminary investigation as to whether this measure improves outcome predictions. We used a wearable triaxial accelerometer to evaluate continuous motion-based activity in infants at high and low likelihood for ASD and ADHD at 12, 18, 24, and 36 months of age. At 36 months, participants were categorized into three outcome groups: ASD (n = 19), ADHD concerns (n = 17), and a comparison group (n = 82). We examined group differences in movement curvature and whether movement curvature is predictive of a later ASD or ADHD concerns classification. We found that movement curvature was significantly lower in infants with later ASD diagnosis at 18, 24, and 36 months of age compared to infants with either ADHD concerns or those in the comparison group. Movement curvature was also a significant predictor of ASD at 18, 24, and 36 months (AUC 0.66-0.71; p = 0.005-0.039) and when adjusting for high ASD likelihood at 18 and 24 months (AUC 0.90, p = 0.05-0.019). These results indicate that lower movement curvature may be a feature of early motor differences in infants with later ASD diagnosis as early as 18 months of age. En ligne : https://doi.org/10.1002/aur.3150 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=531

Subgrouping school-aged children on the autism spectrum based on co-occurring psychiatric symptoms / Antonia PIERGIES in Research in Autism Spectrum Disorders, 95 (July 2022)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 95 (July 2022) . - 101983 Titre : Subgrouping school-aged children on the autism spectrum based on co-occurring psychiatric symptoms Type de document : texte imprimé Auteurs : Antonia PIERGIES, Auteur ; Tomoya HIROTA, Auteur ; Rei MONDEN, Auteur ; Shuting ZHENG, Auteur Article en page(s) : 101983 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Latent class analysis  Co-occurring psychiatric symptoms  Nonverbal IQ  Atypical sleep duration  Medical conditions Index. décimale : PER Périodiques Résumé : Background Phenotypic heterogeneity along the autism spectrum is compounded by co-occurring psychiatric conditions. Deriving subgroups of autistic individuals based on symptoms of these conditions could better our understanding of psychiatric symptom patterns existing within this population. This study?s goals were to derive subgroups of school-aged autistic children based on co-occurring psychiatric symptoms while controlling for age and sex and to examine correlates of subgroup membership while controlling for the degree of ASD-related diagnostic features. Method Latent class models were estimated in a sample from the Simons Simplex Collection (n = 2087) using ?borderline/clinical? versus ?normative? range data from five of the DSM-Oriented Scales from the CBCL/6 18 as indicator variables. We evaluated the predictive value of NVIQ < 70, atypical sleep duration, allergies/autoimmune conditions, gastrointestinal conditions, and neurological conditions on subgroup membership using multinomial logistic regression. Results Four subgroups emerged: Low Psychiatric Symptoms (41.02%), Externalizing Symptoms (12.36%), Internalizing Symptoms (31.58%), and High Psychiatric Symptoms (15.05%). Key findings were that NVIQ < 70 was associated with decreased odds of belonging to the Internalizing Symptoms and High Psychiatric Symptoms subgroups over the Low Psychiatric Symptoms subgroup, while atypical sleep duration and gastrointestinal conditions were associated with increased odds of belonging to the Externalizing Symptoms and High Psychiatric Symptoms subgroups. Neurological conditions were also associated with increased odds of belonging to the Externalizing Symptoms subgroup. Conclusion Distinct patterns of psychiatric symptoms exist within school-aged autistic children and are correlated with NVIQ < 70, atypical sleep duration, and medical conditions, providing insights for clinical practice and etiology-driven research. En ligne : https://doi.org/10.1016/j.rasd.2022.101983 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475 [article] Subgrouping school-aged children on the autism spectrum based on co-occurring psychiatric symptoms [texte imprimé] / Antonia PIERGIES, Auteur ; Tomoya HIROTA, Auteur ; Rei MONDEN, Auteur ; Shuting ZHENG, Auteur . - 101983. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 95 (July 2022) . - 101983 Mots-clés : Autism spectrum disorder  Latent class analysis  Co-occurring psychiatric symptoms  Nonverbal IQ  Atypical sleep duration  Medical conditions Index. décimale : PER Périodiques Résumé : Background Phenotypic heterogeneity along the autism spectrum is compounded by co-occurring psychiatric conditions. Deriving subgroups of autistic individuals based on symptoms of these conditions could better our understanding of psychiatric symptom patterns existing within this population. This study?s goals were to derive subgroups of school-aged autistic children based on co-occurring psychiatric symptoms while controlling for age and sex and to examine correlates of subgroup membership while controlling for the degree of ASD-related diagnostic features. Method Latent class models were estimated in a sample from the Simons Simplex Collection (n = 2087) using ?borderline/clinical? versus ?normative? range data from five of the DSM-Oriented Scales from the CBCL/6 18 as indicator variables. We evaluated the predictive value of NVIQ < 70, atypical sleep duration, allergies/autoimmune conditions, gastrointestinal conditions, and neurological conditions on subgroup membership using multinomial logistic regression. Results Four subgroups emerged: Low Psychiatric Symptoms (41.02%), Externalizing Symptoms (12.36%), Internalizing Symptoms (31.58%), and High Psychiatric Symptoms (15.05%). Key findings were that NVIQ < 70 was associated with decreased odds of belonging to the Internalizing Symptoms and High Psychiatric Symptoms subgroups over the Low Psychiatric Symptoms subgroup, while atypical sleep duration and gastrointestinal conditions were associated with increased odds of belonging to the Externalizing Symptoms and High Psychiatric Symptoms subgroups. Neurological conditions were also associated with increased odds of belonging to the Externalizing Symptoms subgroup. Conclusion Distinct patterns of psychiatric symptoms exist within school-aged autistic children and are correlated with NVIQ < 70, atypical sleep duration, and medical conditions, providing insights for clinical practice and etiology-driven research. En ligne : https://doi.org/10.1016/j.rasd.2022.101983 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475

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