This application proposes to conduct a comprehensive study of brain imaging and behavior in 60 school-age children (age 7-11 years) with Down Syndrome (DS), as a supplement to a study of brain imaging and behavior in school age children with idiopathic autism, autism-related conditions (e.g., language delay) and typical development, who have been followed longitudinally since infancy, as part of an Autism Center of Excellence (ACE) Network, referred to as the Infant Brain Imaging Study (or IBIS). The supplemental funding will also support a comparison of brain structure, including white matter pathways and functional networks, in children with DS in contrast to the 3 groups of children from the IBIS network. The proposed study directly addresses component 2 of the DS research objectives. The overarching objective is to create a cohort of school-aged children with DS with deep brain and behavior characterization. The research protocol includes multi-modal neuroimaging including sMRI, DTI, and fcMRI and cognitive and psychiatric assessments. The proposed study will be most likely the largest pediatric neuroimaging study of DS and can serve as a baseline cohort for a longitudinal study of children with DS into adolescence. Consistent with the 2014 NIH research plan on DS and the mission of the INCLUDE initiative, the objective of this proposal is within the research priorities of the Intellectual and Developmental Disabilities Branch and NICHD. Understanding the underlying brain structure and its relationship with behavioral phenotype is a priority needed to advance the field.
This ACE Network proposal ?A Longitudinal MRI Study of Infants at Risk for Autism? aims to identify the early brain and behavior trajectories of infants at high familial risk for autism, who go on to meet criteria for autism. This study involves data collection across 4 clinical sites around the U.S. and proposes a prospective, longitudinal study of 600 high and 210 low risk (for autism) infants at multiple points between 3 and 60 months of age. Clarification of early brain and behavior trajectories prior to the age when autism is traditionally diagnosed provides a unique opportunity to understand the neurobiological basis of autism and to identify early risk markers during a period of post-natal brain plasticity when children may benefit maximally from early detection and intervention.
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| Piven, J; Elison, J T; Zylka, M J (2018) Toward a conceptual framework for early brain and behavior development in autism. Mol Psychiatry 23:165 |
| Ngattai Lam, Prince D; Belhomme, Gaetan; Ferrall, Jessica et al. (2018) TRAFIC: Fiber Tract Classification Using Deep Learning. Proc SPIE Int Soc Opt Eng 10574: |
| Swanson, Meghan R; Shen, Mark D; Wolff, Jason J et al. (2018) Naturalistic Language Recordings Reveal ""Hypervocal"" Infants at High Familial Risk for Autism. Child Dev 89:e60-e73 |
| St John, Tanya; Dawson, Geraldine; Estes, Annette (2018) Brief Report: Executive Function as a Predictor of Academic Achievement in School-Aged Children with ASD. J Autism Dev Disord 48:276-283 |
| Marrus, Natasha; Eggebrecht, Adam T; Todorov, Alexandre et al. (2018) Walking, Gross Motor Development, and Brain Functional Connectivity in Infants and Toddlers. Cereb Cortex 28:750-763 |
| Estes, Annette; Munson, Jeffrey; John, Tanya St et al. (2018) Parent Support of Preschool Peer Relationships in Younger Siblings of Children with Autism Spectrum Disorder. J Autism Dev Disord 48:1122-1132 |
| Mostapha, Mahmoud; Kim, SunHyung; Wu, Guorong et al. (2018) NON-EUCLIDEAN, CONVOLUTIONAL LEARNING ON CORTICAL BRAIN SURFACES. Proc IEEE Int Symp Biomed Imaging 2018:527-530 |
| Marrus, N; Hall, L P; Paterson, S J et al. (2018) Language delay aggregates in toddler siblings of children with autism spectrum disorder. J Neurodev Disord 10:29 |
| Mostapha, Mahmoud; Shen, Mark D; Kim, SunHyung et al. (2018) A Novel Framework for the Local Extraction of Extra-Axial Cerebrospinal Fluid from MR Brain Images. Proc SPIE Int Soc Opt Eng 10574: |
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