Numerous psychiatric disorders can plague the development of children. Each of these disorders manifests as a distinct pattern of clinical, behavioral, etiological, neuroanatomic, and neurofunctional characteristics that challenge the management of the individual patient, as well as the development of successful intervention and prevention strategies. In the area of neuroimaging, a substantial number of studies have been performed;while each study produces a wealth a clinical and imaging data, most of this information remains an untapped resource due to ineffective use of the principles of data sharing and integration. This proposal seeks to develop a set of cohesive neuroinformatics resources to foster integrated research efforts in the study of children with mental illness. This effort is designed to capitalize on the extensive database of over 250 high-resolution volumetric MRI data and associated analyses that has been generated by the Child and Adolescent Neuropsychiatric Research Program (CANRP) at Cambridge Health Alliance (CHA), in conjunction with the Center for Morphometric Analysis (CMA) at the MGH, and the integrated web resources of the Internet Brain Segmentation Repository (IBSR) and the Internet Brain Volume Database (IBVD). As such, this will constitute the first known """"""""Knowledge Environment"""""""" for the integrated understanding of the quantitative neuroanatomy in this population of children with psychiatric disorders.
Numerous psychiatric disorders can plague the development of children. Each of these disorders manifests as a distinct pattern of clinical, behavioral, and neuroanatomic traits that challenge the management of the individual patient, as well as the development of successful intervention and prevention strategies. This project will develop a set of cohesive neuroinformatics resources that will help to integrate research efforts to advance the diagnosis and treatment of these disorders.
|Kennedy, David N (2017) The Information Sharing Statement Grows Some Teeth. Neuroinformatics 15:113-114|
|Irimia, Andrei; Wei, Susan; Lu, Nanshu et al. (2017) Mobile Monitoring of Traumatic Brain Injury in Older Adults: Challenges and Opportunities. Neuroinformatics 15:227-230|
|Wood, Mollie E; Frazier, Jean A; Nordeng, Hedvig M E et al. (2016) Prenatal triptan exposure and parent-reported early childhood neurodevelopmental outcomes: an application of propensity score calibration to adjust for unmeasured confounding by migraine severity. Pharmacoepidemiol Drug Saf 25:493-502|
|Gee, Dylan G; Fetcho, Robert N; Jing, Deqiang et al. (2016) Individual differences in frontolimbic circuitry and anxiety emerge with adolescent changes in endocannabinoid signaling across species. Proc Natl Acad Sci U S A 113:4500-5|
|Wood, Mollie E; Lapane, Kate; Frazier, Jean A et al. (2016) Prenatal Triptan Exposure and Internalising and Externalising Behaviour Problems in 3-Year-Old Children: Results from the Norwegian Mother and Child Cohort Study. Paediatr Perinat Epidemiol 30:190-200|
|Chang, Linda; Douet, Vanessa; Bloss, Cinnamon et al. (2016) Gray matter maturation and cognition in children with different APOE ? genotypes. Neurology 87:585-94|
|Jernigan, Terry L; Brown, Timothy T; Hagler Jr, Donald J et al. (2016) The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository. Neuroimage 124:1149-54|
|Honor, Leah B; Haselgrove, Christian; Frazier, Jean A et al. (2016) Data Citation in Neuroimaging: Proposed Best Practices for Data Identification and Attribution. Front Neuroinform 10:34|
|Newman, Erik; Thompson, Wesley K; Bartsch, Hauke et al. (2016) Anxiety is related to indices of cortical maturation in typically developing children and adolescents. Brain Struct Funct 221:3013-25|
|Bandrowski, Anita; Brush, Matthew; Grethe, Jeffery S et al. (2016) The Resource Identification Initiative: A Cultural Shift in Publishing. Neuroinformatics 14:169-82|
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