Predictors Of Autism Spectrum Disorder Research Articles

The Utility of the R-ABC in Assessing Risk for Autism Compared With the M-CHAT: An Exploratory Study

Over the past 20+ years, researchers have worked toward identifying early behavioral predictors of autism spectrum disorder (ASD) and developing observation-based screeners to supplement existing parent-report methods. This study is a follow-up, 3 to 8 years later, with parents/caregivers of 57 children previously enrolled in a U.S. university-based study evaluating early ASD-risk. The original study evaluated infants’ (ages 15–35 months) ASD-risk through both observation-based and parent-report screeners. At follow-up, caregivers completed a phone interview inquiring about their child’s developmental progress and diagnostic outcomes. Results indicated screener at-risk status agreement in infancy predicted only one of the four parent-reported ASD diagnoses at follow-up. Single instrument at-risk status aligned with two additional ASD diagnoses (one per screener), and both screeners missed one ASD diagnosis at follow-up. Results did not indicate significant added utility for the observation-based screener over the commonly used parent-report screener, suggesting that ASD behavioral markers may be hard to observe at early ages.

Predictors of Autism Spectrum Disorder and ADHD: Results from the National Survey of Children's Health

BackgroundAutism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are two of the most common neurodevelopmental disorders with comorbidity rates of up to 70%. Population-based studies show differential rates of ADHD and ASD diagnosis based on sociodemographic variables. However, no studies to date have examined the role of sociodemographic factors on the likelihood of receiving an ADHD, ASD, or comorbid ASD + ADHD diagnosis in a large, nationally representative sample. ObjectiveThis study aims to examine the impact of sociodemographic factors on the odds of experiencing ASD-only, ADHD-only, or both diagnoses for children in the United States. MethodsUsing a mixed effects multinomial logistic modeling approach and data from the 2016–2018 National Survey of Children's Health, we estimated the association between sociodemographic variables and the log odds of being in each diagnostic group. ResultsSociodemographic variables were differentially related to the three diagnostic groups: ASD-only, ADHD-only, and ASD + ADHD. Compared to girls, boys experienced higher odds of all three diagnosis categories. White children had higher odds of having an ADHD-only or ASD + ADHD diagnosis compared to non-Hispanic (NH) Black, NH multiple/other race, and Hispanic children. Odds ratios for levels of parent education, household income, and birth characteristics showed varying trends across diagnostic groups. ConclusionsOverall, our findings point to unique sets of risk factors differentially associated ASD and ADHD, with lower income standing out as an important factor associated with receiving a diagnosis of ASD + ADHD.

Maternal Midpregnancy Leptin and Adiponectin Levels as Predictors of Autism Spectrum Disorders: A Prenatal Cohort Study.

Autism spectrum disorders (ASDs) are a group of conditions characterized by impaired social function and repetitive behaviors. Their etiology is largely unknown. This work aims to examine the associations of maternal second-trimester and cord blood leptin and adiponectin levels with ASDs in offspring. We used data from 1164 mother-child pairs enrolled in Project Viva, a prospective prebirth cohort. We used logistic regression analysis to examine the associations of leptin and adiponectin levels in maternal second-trimester blood and cord blood obtained at birth with ASDs. Additionally, we examined the association of maternal prepregnancy body mass index (BMI) as an exposure. Main outcome measures included doctor-diagnosed ASDs reported by mothers using questionnaires in midchildhood and early adolescence. The cumulative incidence of ASDs was 3.4%. Maternal prepregnancy BMI (per 5 points) was positively associated with ASDs in a logistic regression model adjusted for maternal race/ethnicity, education, smoking status and child sex (adjusted odds ratio [OR] 1.38; 95% CI, 1.06-1.79). Higher second-trimester adiponectin was associated with lower odds of ASD in offspring (unadjusted OR 0.49; 95% CI, 0.30-0.78; and OR 0.54; 95% CI, 0.32-0.91 after adjusting for maternal race/ethnicity, education, child sex, OR 0.55; 95% CI, 0.33-0.93 after adjusting for BMI, gestational weight gain, gestational diabetes, and smoking status). Maternal leptin and cord blood leptin and adiponectin levels were not associated with ASDs. Prepregnancy BMI and adiponectin during pregnancy may be useful as a tool to monitor the risk of autism. Increasing adiponectin levels prenatally may play a role in the prevention of ASDs.

Observed Social Emotional Behavior at 22Months Predicts a Later ASD Diagnosis in High-Risk Siblings.

Social engagement, pretend play, and concern for another's distress represent fundamental features of typical social-emotional development in the second year. Children with autism spectrum disorder (ASD) display delays and deficits in these areas, and research on toddlers at heightened risk for ASD (HR; younger siblings of children with ASD) indicates these deficits may be apparent in toddlerhood. Prior research has examined these aspects of social-emotional development individually in HR toddlers. The present paper examines them jointly as predictors of ASD. We show that social engagement, pretend play, and empathic concern at 22-months each contribute uniquely to predicting later ASD diagnosis with high specificity and moderate sensitivity. Results have important implications for early diagnosis and intervention in young children with ASD.

Emergence and rate of autism in fragile X syndrome across the first years of life.

Prospective longitudinal studies of idiopathic autism spectrum disorder (ASD) have provided insights into early symptoms and predictors of ASD during infancy, well before ASD can be diagnosed at age 2-3 years. However, research on the emergence of ASD in disorders with a known genetic etiology, contextualized in a developmental framework, is currently lacking. Using a biobehavioral multimethod approach, we (a) determined the rate of ASD in N = 51 preschoolers with fragile X syndrome (FXS) using a clinical best estimate (CBE) procedure with differential diagnoses of comorbid psychiatric disorders and (b) investigated trajectories of ASD symptoms and physiological arousal across infancy as predictors of ASD in preschoolers with FXS. ASD was not diagnosed if intellectual ability or psychiatric disorders better accounted for the symptoms. Our results determined that 60.7% of preschoolers with FXS met the Diagnostic and Statistical Manual of Mental Disorders (fifth edition) (DSM-5) criteria for ASD using the CBE procedure. In addition, 92% of these preschoolers presented with developmental delay and 45.4% also met criteria for psychiatric disorders, either anxiety, ADHD, or both. ASD diagnoses in preschoolers with FXS were predicted by elevated scores on traditional ASD screeners in addition to elevated autonomic arousal and avoidant eye contact from infancy.

Neonatal irritable sleep-wake rhythm as a predictor of autism spectrum disorders

Recently, it has been suggested that sleep problems in autism spectrum disorder (ASD) not only are associated symptoms, but may be deeply related to ASD pathogenesis. Common clinical practice relating to developmental disorders, has shown that parents of children with ASD have often stated that it is more difficult to raise children in the neonatal period because these children exhibit sleep problems. This study investigated the possibility that abnormal neonatal sleep-wake rhythms are related to future ASD development.We administered questionnaires to assess parent(s) of children with ASD and controls. A retrospective analysis was conducted among 121 children with ASD (94 male and 27 female children) recruited from the K-Development Support Center for Children (K-ASD), 56 children with ASD (40 male and 16 female children) recruited from the H-Children's Sleep and Development Medical Research Center (H-ASD) and 203 children (104 male and 99 female children) recruited from four nursery schools in T-city (control).Irritable/over-reactive types of sleep-wake rhythms that cause difficulty in raising children, such as 1) frequently waking up, 2) difficulty falling asleep, 3) short sleep hours, and 4) continuous crying and grumpiness, were observed more often in ASD groups than in the control group. Additionally, the number of the mothers who went to bed after midnight during pregnancy was higher in the ASD groups than in the control group.Sleep-wake rhythm abnormalities in neonates may be considerable precursors to future development of ASD. Formation of ultradian and postnatal circadian rhythms should be given more attention when considering ASD development. Although this is a retrospective study, the results suggest that a prospective study regarding this issue may be important in understanding and discovering intervention areas that may contribute to preventing and/or properly treating ASD.

Behaviors Interfering with Audiometry Associated with Eventual Diagnosis of Autism.

Children referred for audiology evaluation due to speech and language delays represent a neurodevelopmentally high-risk group. The audiology evaluation is a behaviorally-challenging encounter early in the diagnostic process. We assessed interfering behaviors (IB) that complicated completion of audiometry as predictors of autism spectrum disorder (ASD) diagnosis. This retrospective cohort study using the Military Health System electronic medical record included 296 children aged 18 to 71months. Children who displayed IB had increased odds of receiving an ASD diagnosis compared to those who did not (OR = 5.6, 95% CI 2.6-12.1). Interfering behaviors had a high specificity (81%) and negative predictive value (94%) for ASD. The audiology evaluation may represent an opportunity early in the diagnostic process to stratify risk for ASD.

Language predictors of autism spectrum disorder in young children with tuberous sclerosis complex

BackgroundEpilepsy has previously been implicated in the development of autism spectrum disorder (ASD) in the setting of tuberous sclerosis complex (TSC). However, the role of language in this relationship is unclear, and the specific relationship between ASD, epilepsy, and language development in this population has not been well-studied. ObjectivesThe objectives the study were to identify the role of early language in subsequent development of ASD, evaluate the impact of epilepsy as a covariate on language development, and evaluate the relationship between epilepsy, language development, and development of ASD. MethodsThis study included 154 children ages 3–36 months with TSC who were enrolled in the TSC Autism Center of Excellence Research Network (TACERN), a multicenter, prospective observational study to identify biomarkers of ASD. Developmental and autism-specific assessments were administered longitudinally. Appropriate variables from the Mullen Scales of Early Learning (MSEL), Vineland Adaptive Behavior Scales, 2nd Edition (VABS-II), and Preschool Language Scales, 5th Edition (PLS-5) were used to assess patients' language skills. At 36 months, clinical best estimate, which was based on clinical assessment and observation, was used to determine a diagnosis of ASD. ResultsBy 12 months, all language variables on the MSEL, PLS-5, and VABS-II significantly predicted an ASD diagnosis at 36 months. Age at seizure onset was associated with language scores in that later seizure onset was associated with improved language scores on the MSEL, VABS-II, and PLS-5. Seizure onset prior to 6 months was associated with a diagnosis of ASD at 36 months. Higher seizure frequency negatively correlated with language scores at 12 months and beyond. Higher seizure frequency was also associated with an ASD diagnosis at 36 months. When looking at the relationship between epilepsy, language, and ASD diagnosis, by 18 months, language scores were more associated with a later ASD diagnosis at 36 months compared with age at seizure onset, which was a better predictor of later ASD diagnosis earlier in development. ConclusionAnalysis of language variables and epilepsy characteristics from 6 to 36 months and ASD diagnosis at 36 months revealed significant relationships between all three variables. While the direction of these relationships needs further research, epilepsy, language, and the development of ASD are integrally related in young children with TSC.

Cytokines and Chemokines in Novel Roles: Exploring Their Potential as Predictors of Autism Spectrum Disorder

Cytokines and Chemokines in Novel Roles: Exploring Their Potential as Predictors of Autism Spectrum Disorder

Early Clinical Predictors of Autism Spectrum Disorder in Infants with Tuberous Sclerosis Complex: Results from the EPISTOP Study.

Autism spectrum disorder (ASD) is highly prevalent in subjects with Tuberous Sclerosis Complex (TSC), but we are not still able to reliably predict which infants will develop ASD. This study aimed to identify the early clinical markers of ASD and/or developmental delay (DD) in infants with an early diagnosis of TSC. We prospectively evaluated 82 infants with TSC (6–24 months of age), using a detailed neuropsychological assessment (Bayley Scales of Infant Development—BSID, and Autism Diagnostic Observation Schedule—ADOS), in the context of the EPISTOP (Long-term, prospective study evaluating clinical and molecular biomarkers of EPIleptogenesiS in a genetic model of epilepsy—Tuberous SclerOsis ComPlex) project (NCT02098759). Normal cognitive developmental quotient at 12 months excluded subsequent ASD (negative predictive value 100%). The total score of ADOS at 12 months clearly differentiated children with a future diagnosis of ASD from children without (p = 0.012). Atypical socio-communication behaviors (p < 0.001) were more frequently observed than stereotyped/repetitive behaviors in children with ASD at 24 months. The combined use of BSID and ADOS can reliably identify infants with TSC with a higher risk for ASD at age 6–12 months, allowing for clinicians to target the earliest symptoms of abnormal neurodevelopment with tailored intervention strategies.

Rate and Risk Factors Associated with Autism Spectrum Disorder in Congenital Diaphragmatic Hernia.

To determine the rate and predictors of autism spectrum disorder (ASD) in congenital diaphragmatic hernia (CDH). Between 06/2004 and 09/2015 a total of 110 CDH survivors underwent neurodevelopmental (ND) testing and screening for ASD, followed by a full autism diagnostic evaluation if indicated at our institution. We found a 9 time higher rate of ASD in CDH children compared to the general population (P = 0.0002). Multiple patient-related and clinical variables risk factors of ASD were identified by univariate analysis. However, only short-term and long-term neurodevelopmental delays were strongly associated with ASD in CDH by multivariate comparisons. There is a striking prevalence of ASD in CDH survivors and our findings suggest that all CDH children should be regularly screened for ASD.

Atypical neural responding to hearing one's own name in adults with ASD.

Diminished responding to hearing one's own name is one of the earliest and strongest predictors of autism spectrum disorder (ASD). Here, we studied, for the first time, the neural correlates of hearing one's own name in ASD. Based on existing research, we hypothesized enhancement of late parietal positive activity specifically for the own name in neurotypicals, and for this effect to be reduced in adults with ASD. Source localization analyses were conducted to estimate group differences in brain regions underlying this effect. Twenty-one adults with ASD, and 21 age- and gender-matched neurotypicals were presented with 3 categories of names (own name, close other, unknown other) as task-irrelevant deviant stimuli in an auditory oddball paradigm while electroencephalogram was recorded. As expected, late parietal positivity was observed specifically for own names in neurotypicals, indicating enhanced attention to the own name. This preferential effect was absent in the ASD group. This group difference was associated with diminished activation in the right temporoparietal junction (rTPJ) in adults with ASD. Further, a familiarity effect was found for N1 amplitude, with larger amplitudes for familiar names (own name and close other). However, groups did not differ for this effect. These findings provide evidence of atypical neural responding to hearing one's own name in adults with ASD, suggesting a deficit in self-other distinction associated with rTPJ dysfunction. (PsycINFO Database Record

Association Between Mitochondrial DNA Haplogroup Variation and Autism Spectrum Disorders

Autism spectrum disorders (ASD) are characterized by impairments in social interaction, communication, and repetitive or restrictive behavior. Although multiple physiologic and biochemical studies have reported defects in mitochondrial oxidative phosphorylation in patients with ASD, the role of mitochondrial DNA (mtDNA) variation has remained relatively unexplored. To assess what impact mitochondrial lineages encompassing ancient mtDNA functional polymorphisms, termed haplogroups, have on ASD risk. In this cohort study, individuals with autism and their families were studied using the Autism Genetic Resource Exchange cohort genome-wide association studies data previously generated at the Children's Hospital of Philadelphia. From October 2010 to January 2017, we analyzed the data and used the mtDNA single-nucleotide polymorphisms interrogated by the Illumina HumanHap 550 chip to determine the mtDNA haplogroups of the individuals. Taking into account the familial structure of the Autism Genetic Resource Exchange data, we then determined whether the mtDNA haplogroups correlate with ASD risk. Odds ratios of mitochondrial haplogroup as predictors of ASD risk. Of 1624 patients with autism included in this study, 1299 were boys (80%) and 325 were girls (20%). Families in the Autism Genetic Resource Exchange collection (933 families, encompassing 4041 individuals: 1624 patients with ASD and 2417 healthy parents and siblings) had been previously recruited in the United States with no restrictions on age, sex, race/ethnicity, or socioeconomic status. Relative to the most common European haplogroup HHV, European haplogroups I, J, K, O-X, T, and U were associated with increased risk of ASD, as were Asian and Native American haplogroups A and M, with odds ratios ranging from 1.55 (95% CI, 1.16-2.06) to 2.18 (95% CI, 1.59-3) (adjusted P < .04). Hence, mtDNA haplogroup variation is an important risk factor for ASD. Because haplogroups I, J, K, O-X, T, and U encompass 55% of the European population, mtDNA lineages must make a significant contribution to overall ASD risk.

Infancy predictors of hyperkinetic and pervasive developmental disorders at ages 5-7years: results from the Copenhagen Child Cohort CCC2000.

Epidemiological studies infancy predictors of mental disorders are scarce. The study is part of a longitudinal birth-cohort study, The Copenhagen Child Cohort CCC2000. Infant mental health and development and mother-infant relations were assessed by community health nurses from birth to age 10months. Data on the perinatal period were obtained from Danish National Registers. Mental health outcome at age 5-7years was investigated in 1,585 children who were assessed by the Developmental and Well-Being Assessment (DAWBA) and diagnosed according to the ICD-10. Predictors of autism spectrum disorders were problems of oral-motor development OR 5.02 (95% CI: 1.63-15.42) and overall development OR 4.24 (95% CI: 1.35-13.33). A deviant pattern of activity and interests were predictive of autism spectrum disorder, OR 5.34 (95% CI 1.45-19.70) and hyperkinetic disorder, OR 4.71 (95% CI: 1.28-17.39). Hyperkinetic disorder was furthermore predicted by mother-infant relationship problems, OR 8.07 (95% CI: 2.90-22.47). The significant associations between infant developmental problems and autism spectrum disorders persisted in multiple logistic regression analyses controlled for maternal psychological problems and mother-infant relationship problems, OR 3.21 (95% CI: 1.09-9.45). Mother-infant relationship problems remained strongly associated to hyperkinetic disorders in the multivariate analyses controlled for child development problems and maternal psychological problems, OR 5.20 (95% CI: 1.55-17.47). No significant infancy predictors were found regarding emotional and behavioural disorders at age 5-7years. Predictors of autism spectrum/pervasive developmental disorders and hyperkinetic disorders at child age 5-7years were identified between birth and child age 10months in community health settings. The study results suggest potential areas of early preventive intervention, which have to be further explored regarding the psychometric qualities of the identification of infants at risk, and concerning methods to handle and intervene towards these children in the general child health surveillance.

The SWedish Eating Assessment for Autism spectrum disorders (SWEAA)—Validation of a self-report questionnaire targeting eating disturbances within the autism spectrum

The aim was to design and validate a questionnaire pertaining to eating problems in individuals with normal intelligence, within the autism spectrum. The questionnaire was based on literature search and clinical experience. The validation focused on psychometric properties of reliability and validity using a clinical group of individuals with autism spectrum disorders (ASD) (n=57) and a matched, healthy comparison group (n=31). The instrument showed high levels of reliability, convergent and discriminant validity and scaling properties. Logistic regression analyses discerned the single item Simultaneous capacity and the subscale Social situation at mealtime as the best predictors of ASD. In conclusion, the questionnaire is valid and reliable to detect disturbed eating behaviours in individuals with ASD and normal intelligence.

The spatial distribution of known predictors of autism spectrum disorders impacts geographic variability in prevalence in central North Carolina

The spatial distribution of known predictors of autism spectrum disorders impacts geographic variability in prevalence in central North Carolina

The spatial distribution of known predictors of autism spectrum disorders impacts geographic variability in prevalence in central North Carolina.

BackgroundThe causes of autism spectrum disorders (ASD) remain largely unknown and widely debated; however, evidence increasingly points to the importance of environmental exposures. A growing number of studies use geographic variability in ASD prevalence or exposure patterns to investigate the association between environmental factors and ASD. However, differences in the geographic distribution of established risk and predictive factors for ASD, such as maternal education or age, can interfere with investigations of ASD etiology. We evaluated geographic variability in the prevalence of ASD in central North Carolina and the impact of spatial confounding by known risk and predictive factors.MethodsChildren meeting a standardized case definition for ASD at 8 years of age were identified through records-based surveillance for 8 counties biennially from 2002 to 2008 (n=532). Vital records were used to identify the underlying cohort (15% random sample of children born in the same years as children with an ASD, n=11,034), and to obtain birth addresses. We used generalized additive models (GAMs) to estimate the prevalence of ASD across the region by smoothing latitude and longitude. GAMs, unlike methods used in previous spatial analyses of ASD, allow for extensive adjustment of individual-level risk factors (e.g. maternal age and education) when evaluating spatial variability of disease prevalence.ResultsUnadjusted maps revealed geographic variation in surveillance-recognized ASD. Children born in certain regions of the study area were up to 1.27 times as likely to be recognized as having ASD compared to children born in the study area as a whole (prevalence ratio (PR) range across the study area 0.57-1.27; global P=0.003). However, geographic gradients of ASD prevalence were attenuated after adjusting for spatial confounders (adjusted PR range 0.72-1.12 across the study area; global P=0.052).ConclusionsIn these data, spatial variation of ASD in central NC can be explained largely by factors impacting diagnosis, such as maternal education, emphasizing the importance of adjusting for differences in the geographic distribution of known individual-level predictors in spatial analyses of ASD. These results underscore the critical importance of accounting for such factors in studies of environmental exposures that vary across regions.

Electrophysiological Measures of Infant Siblings of Children with Autism

Event Abstract Back to Event Electrophysiological Measures of Infant Siblings of Children with Autism Jordy Kaufman1*, Leila Dafner1, Angela Mayes1, Lauren Pigdon1 and Shuk Man Sumie Leung2 1 Swinburne University of Technology, Brain & Psychological Sciences Research Centre, Australia 2 Universitat de Barcelona, Spain In this presentation we describe research from the Swinburne Babylab investigating possible electrophysiolgical predictors of autism spectrum disorders in young infants (aged 4 to 14 months). Infants were classified as belonging to a "high-risk" or "low-risk" group autism spectrum disorder, where high-risk was defined as having an older sibling with autism. Current data analysis reveals differences in duration mismatch responses when comparing both 4-month-old and 14-month-old high-risk infants to an age-matched low-risk group. While neither group shows a strong MMN response, the high-risk group shows a sustained (approximately 350 ms) increase in EEG amplitude, over the right hemisphere, beginning about 100 ms following deviant tone offset. Additionally, the high-risk group shows higher levels of resting gamma oscillatory activity at frontal and temporal regions than the low-risk group. This data is consistent with a number of recent findings from other labs demonstrating ectrophysiological elements in the broader autism phenotype. This work paves the way for our ongoing reasearch aimed at determining the suitability of these measures as neuromarkers for early diagnosis. Acknowledgements This research was supported by the Bennelong Foundation and the Fred P Archer Charitable Trust. Keywords: Infant, mismatch negativity (MMN), time-frequency analysis, Autistic Disorder, neuromarkers Conference: ACNS-2012 Australasian Cognitive Neuroscience Conference, Brisbane, Australia, 29 Nov - 2 Dec, 2012. Presentation Type: Poster Presentation Topic: Sensation and Perception Citation: Kaufman J, Dafner L, Mayes A, Pigdon L and Leung S (2012). Electrophysiological Measures of Infant Siblings of Children with Autism. Conference Abstract: ACNS-2012 Australasian Cognitive Neuroscience Conference. doi: 10.3389/conf.fnhum.2012.208.00198 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 25 Oct 2012; Published Online: 24 Nov 2012. * Correspondence: Dr. Jordy Kaufman, Swinburne University of Technology, Brain & Psychological Sciences Research Centre, Melbourne, Victoria, 3122, Australia, jkaufman@swin.edu.au Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Jordy Kaufman Leila Dafner Angela Mayes Lauren Pigdon Shuk Man Sumie Leung Google Jordy Kaufman Leila Dafner Angela Mayes Lauren Pigdon Shuk Man Sumie Leung Google Scholar Jordy Kaufman Leila Dafner Angela Mayes Lauren Pigdon Shuk Man Sumie Leung PubMed Jordy Kaufman Leila Dafner Angela Mayes Lauren Pigdon Shuk Man Sumie Leung Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.