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. Following upon the successful development of the CANDIShare project and portal, this proposal seeks to extend the data network, enhance the portal functions and embark on a research plan that highlights the utility of these combined data resources to solve specific problems in the child psychiatry domain. Successful execution of this program of social, technical and biological study will move the field forward by providing additional methods for all investigators to fulfill their NIH obligation to participate in open, reproducible science. As such this fosters a bolder 'discovery- mode'data interrogation designed to capture the richness of the neuroimaging data landscape and provide better directed hypotheses for future study into diagnosis, prediction, monitoring of therapeutic intervention.

Public Health Relevance

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. Following upon the successful development of the CANDIShare project and portal, this proposal seeks to extend the data network, enhance the portal functions and embark on a research plan that highlights the utility of these combined data resources to solve specific problem in the child psychiatry domain.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH083320-06
Application #
8678995
Study Section
(NOIT)
Program Officer
Friedman-Hill, Stacia
Project Start
2007-12-01
Project End
2016-06-30
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
6
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Massachusetts Medical School Worcester
Department
Psychiatry
Type
Schools of Medicine
DUNS #
City
Worcester
State
MA
Country
United States
Zip Code
01655
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
Eicher, John D; Montgomery, Angela M; Akshoomoff, Natacha et al. (2016) Dyslexia and language impairment associated genetic markers influence cortical thickness and white matter in typically developing children. Brain Imaging Behav 10:272-82
Bandrowski, Anita; Brush, Matthew; Grethe, Jeffery S et al. (2016) The Resource Identification Initiative: a cultural shift in publishing. Brain Behav 6:e00417
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 ε genotypes. Neurology 87:585-94
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
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
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
Kennedy, David N; Haselgrove, Christian; Riehl, Jon et al. (2016) The NITRC image repository. Neuroimage 124:1069-73
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

Showing the most recent 10 out of 44 publications