The goal of the proposed project is to determine how individual variation in brain development from childhood to adulthood is associated with variation in clinical course and outcome in autism. We will achieve this goal in three steps. We will first quantify individual whole and regional brain development from imaging data across six time points collected over 15 years using magnetic resonance imaging (volume, cortical thickness, functional connectivity, white matter microstructure) and concurrent clinical and neuropsychological evaluations. The six time points will include the four time points from our existing 10-year longitudinal study (140 male participants with autism and 75 age-matched typically developing participants) plus two more collected over the next five years by the same multisite interdisciplinary team. These extended cohort sequential longitudinal data will span 3-53 years of age. We will analyze age-period-cohort effects across our wide age range. More data will provide enough power to test existence of linear and curvilinear developmental arcs at individual, cohort, and group levels. We will investigate the specificity to autism by comparison to a reading disorder group. Second, we will identify mediating and modulating factors within brain development that help explain why some individuals continue to have severe autism while others improve. Third, we will analyze associations between longitudinal brain functional development and clinical outcome by evaluating the mechanism by which impairment in long- range connectivity and inhibition may ultimately impact adult prognosis. Finally, we explore how trajectories of late brain development may interact with the loss of secondary school services. Our findings will elucidate how brain changes modulate the severity of core autism symptoms and in the cognitive profile of individuals with the disorder. Understanding the paths of late brain development and the relation between brain maturation and cognitive/behavioral changes is essential to identify biological mechanisms involved and to understand how they interact with contextual factors.
The goal of the research is to determine how variation in brain development and maturation from childhood to mid-adulthood is associated with variation in clinical course and outcome in autism. Autism remains a severely impairing lifelong disorder in most cases. Understanding the longitudinal trajectory of late brain development in autism is essential to identify biological mechanisms involved, find more individualized and clinically relevant predictors of future course, and develop secondary and tertiary preventive interventions to improve outcome.
|Di Martino, Adriana; O'Connor, David; Chen, Bosi et al. (2017) Enhancing studies of the connectome in autism using the autism brain imaging data exchange II. Sci Data 4:170010|
|Lundwall, Rebecca A; Stephenson, Kevin G; Neeley-Tass, E Shannon et al. (2017) Relationship between brain stem volume and aggression in children diagnosed with autism spectrum disorder. Res Autism Spectr Disord 34:44-51|
|McLaughlin, Kristine; Travers, Brittany G; Dadalko, Olga I et al. (2017) Longitudinal development of thalamic and internal capsule microstructure in autism spectrum disorder. Autism Res :|
|Dean 3rd, D C; Lange, N; Travers, B G et al. (2017) Multivariate characterization of white matter heterogeneity in autism spectrum disorder. Neuroimage Clin 14:54-66|
|Curtis, Brian J; Williams, Paula G; Jones, Christopher R et al. (2016) Sleep duration and resting fMRI functional connectivity: examination of short sleepers with and without perceived daytime dysfunction. Brain Behav 6:e00576|
|Green, Ryan R; Bigler, Erin D; Froehlich, Alyson et al. (2016) Beery VMI performance in autism spectrum disorder. Child Neuropsychol 22:795-817|
|Farmer, Cristan A; Kaat, Aaron J; Mazurek, Micah O et al. (2016) Confirmation of the Factor Structure and Measurement Invariance of the Children's Scale of Hostility and Aggression: Reactive/Proactive in Clinic-Referred Children With and Without Autism Spectrum Disorder. J Child Adolesc Psychopharmacol 26:10-8|
|Dean 3rd, Douglas C; Travers, Brittany G; Adluru, Nagesh et al. (2016) Investigating the Microstructural Correlation of White Matter in Autism Spectrum Disorder. Brain Connect 6:415-33|
|Travers, Brittany G; Bigler, Erin D; Tromp, Do P M et al. (2015) Brainstem White Matter Predicts Individual Differences in Manual Motor Difficulties and Symptom Severity in Autism. J Autism Dev Disord 45:3030-40|
|Alaerts, Kaat; Nayar, Kritika; Kelly, Clare et al. (2015) Age-related changes in intrinsic function of the superior temporal sulcus in autism spectrum disorders. Soc Cogn Affect Neurosci 10:1413-23|
Showing the most recent 10 out of 55 publications