Dataset Information

Developmental trajectories of resting EEG power: an endophenotype of autism spectrum disorder.

ABSTRACT: Current research suggests that autism spectrum disorder (ASD) is characterized by asynchronous neural oscillations. However, it is unclear whether changes in neural oscillations represent an index of the disorder or are shared more broadly among both affected and unaffected family members. Additionally, it remains unclear how early these differences emerge in development and whether they remain constant or change over time. In this study we examined developmental trajectories in spectral power in infants at high- or low-risk for ASD. Spectral power was extracted from resting EEG recorded over frontal regions of the scalp when infants were 6, 9, 12, 18 and 24 months of age. We used multilevel modeling to assess change over time between risk groups in the delta, theta, low alpha, high alpha, beta, and gamma frequency bands. The results indicated that across all bands, spectral power was lower in high-risk infants as compared to low-risk infants at 6-months of age. Furthermore high-risk infants showed different trajectories of change in spectral power in the subsequent developmental window indicating that not only are the patterns of change different, but that group differences are dynamic within the first two years of life. These findings remained the same after removing data from a subset of participants who displayed ASD related behaviors at 24 or 36 months. These differences in the nature of the trajectories of EEG power represent important endophenotypes of ASD.

SUBMITTER: Tierney AL

PROVIDER: S-EPMC3380047 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Developmental trajectories of resting EEG power: an endophenotype of autism spectrum disorder.

Tierney Adrienne L AL Gabard-Durnam Laurel L Vogel-Farley Vanessa V Tager-Flusberg Helen H Nelson Charles A CA

PloS one 20120620 6

Current research suggests that autism spectrum disorder (ASD) is characterized by asynchronous neural oscillations. However, it is unclear whether changes in neural oscillations represent an index of the disorder or are shared more broadly among both affected and unaffected family members. Additionally, it remains unclear how early these differences emerge in development and whether they remain constant or change over time. In this study we examined developmental trajectories in spectral power i ...[more]

PMID: 22745707

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Project description:Purpose:The need for community-viable, evidence-based intervention strategies for toddlers with autism spectrum disorder (ASD) is a national priority. The purpose of this research forum article is to identify gaps in intervention research and needs in community practice for toddlers with ASD, incorporate published findings from a randomized controlled trial (RCT) of the Early Social Interaction (ESI) model (Wetherby et al., 2014) to illustrate community-based intervention, report new findings on child active engagement from the ESI RCT, and offer solutions to bridge the research-to-community practice gap. Method:Research findings were reviewed to identify gaps in the evidence base for toddlers with ASD. Published and new findings from the multisite ESI RCT compared the effects of two different ESI conditions for 82 toddlers with ASD to teach parents how to support active engagement in natural environments. Results:The RCT of the ESI model was the only parent-implemented intervention that reported differential treatment effects on standardized measures of child outcomes, including social communication, developmental level, and adaptive behavior. A new measure of active engagement in the natural environment was found to be sensitive to change in 3 months for young toddlers with ASD and to predict outcomes on the standardized measures of child outcomes. Strategies for utilizing the Autism Navigator collection of web-based courses and tools using extensive video footage for families and professional development are offered for scaling up in community settings to change developmental trajectories of toddlers with ASD. Conclusions:Current health care and education systems are challenged to provide intervention of adequate intensity for toddlers with ASD. The use of innovative technology can increase acceleration of access to evidence-based early intervention for toddlers with ASD that addresses health disparities, enables immediate response as soon as ASD is suspected, and rapidly bridges the research-to-practice gap.

Project description:Increasing evidence suggests that autism spectrum disorder (ASD) and many forms of developmental delay (DD) originate during fetal development. Preeclampsia may trigger aberrant neurodevelopment through placental, maternal, and fetal physiologic mechanisms.To determine whether preeclampsia is associated with ASD and/or DD.The Childhood Autism Risks from Genetics and the Environment (CHARGE) study is a population-based, case-control investigation of ASD and/or DD origins. Children from 20 California counties aged 24 to 60 months at the time of recruitment and living in catchment areas with a biological parent fluent in English or Spanish were enrolled from January 29, 2003, through April 7, 2011. Children with ASD (n?=?517) and DD (n?=?194) were recruited through the California Department of Developmental Services, the Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, and referrals. Controls with typical development (TD) (n?=?350) were randomly selected from birth records and frequency matched on age, sex, and broad geographic region. Physicians diagnosing preeclampsia were masked to neurodevelopmental outcome, and those assessing neurodevelopmental function were masked to preeclampsia status.Preeclampsia and placental insufficiency were self-reported and abstracted from medical records.The Autism Diagnostic Observation Schedule and Autism Diagnostic Interview-Revised were used to confirm ASD, whereas children with DD and TD were confirmed by Mullen Scales of Early Learning and Vineland Adaptive Behavior Scales and were free of autistic symptoms. Hypotheses were formulated before data collection.Children with ASD were twice as likely to have been exposed in utero to preeclampsia as controls with TD after adjustment for maternal educational level, parity, and prepregnancy obesity (adjusted odds ratio, 2.36; 95% CI, 1.18-4.68); risk increased with greater preeclampsia severity (test for trend, P?=?.02). Placental insufficiency appeared responsible for the increase in DD risk associated with severe preeclampsia (adjusted odds ratio, 5.49; 95% CI, 2.06-14.64).Preeclampsia, particularly severe disease, is associated with ASD and DD. Faulty placentation manifests in the mother as preeclampsia with vascular damage, enhanced systemic inflammation, and insulin resistance; in the placenta as oxygen and nutrient transfer restriction and oxidative stress; and in the fetus as growth restriction and progressive hypoxemia. All are potential mechanisms for neurodevelopmental compromise.

Dataset Information

Developmental trajectories of resting EEG power: an endophenotype of autism spectrum disorder.

Publications

Developmental trajectories of resting EEG power: an endophenotype of autism spectrum disorder.

Similar Datasets

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