CANDIShare: A Resource for Pediatric Neuroimaging Data

Abstract

Event Abstract Back to Event CANDIShare: A Resource for Pediatric Neuroimaging Data Jean Frazier1, Christian Haselgrove1, Steven Hodge1 and David Kennedy2* 1 University of Massachusetts Medical School, United States 2 University of Massachusetts Medical School, Department of Psychiatry, United States Introduction There are numerous psychiatric disorders that 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 to date; and while much has been learned from this investment, this represents only the tip-of-the-iceberg of the information that can be gleaned from the data. Unfortunately, most of this additional, untapped information resource is lost due to ineffective use of the principles of data sharing and integration. Approach Using the existing resources of the eXtensible Neuroimaging Archive Toolkit (XNAT) and the Internet Brain Segmentation Repository (IBSR) we are making a large set of MR image and anatomic analysis data available to the general neuroinformatics community. These data include: a) Image data - including structural and diffusion imaging at 1.5 and 3.0 Tesla, where each subject includes a comprehensive set of clinical, demographic and behavioral measures; b) results for general segmentation (subdivision of the imaged brain in terms of gross neuroanatomic subdivisions of gray, white and CSF tissue classes) and parcellation (regional compartmentalization of cortex and white matter); and c) the creation and dissemination of static and dynamic probabilistic atlases from specific subsets of these data for use in other segmentation and analysis frameworks. The dataset to be released has been collected over the past 10 years by the investigators at the Child and Adolescent Neurodevelopment Initiative (CANDI), now at the University of Massachusetts Medical Center. This is one of the largest collections of neuroimaging studies in child psychiatry. These data include 263 subjects, span the ages of 3-21 years, and include normative subjects (70) as well as children with ADHD (31), bipolar disorder (130) and childhood onset schizophrenia (32). 150 of these subjects have complete general segmentation, and 123 of these cases also have complete parcellation. It is of fundamental importance to facilitate interactive sharing of data amongst neuroscience investigators, in general, and within the child psychiatry community in particular. This project seeks to apply existing data sharing mechanisms, and develop domain-specific sharing resources that connect the related aspects of the info-ome that are tailored to the needs of researchers in child psychiatry. Conclusion This release of information is dramatically greater than merely ‘making the images available’: each image is associated with substantial analytic results, many of which have been utilized in the preparation of various publications and comparisons. Moreover, these data will be most effectively shared with the research community when shared in a way that preserves the linkages between the images, the resultant analytic data and meta-data, and it’s relationships to other public sources of related information. In short, this represents a ‘Knowledge Management’ environment that will facilitate traversal of these data and linkages. Conference: Neuroinformatics 2010 , Kobe, Japan, 30 Aug - 1 Sep, 2010. Presentation Type: Poster Presentation Topic: Neuroimaging Citation: Frazier J, Haselgrove C, Hodge S and Kennedy D (2010). CANDIShare: A Resource for Pediatric Neuroimaging Data. Front. Neurosci. Conference Abstract: Neuroinformatics 2010 . doi: 10.3389/conf.fnins.2010.13.00143 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 21 Jun 2010; Published Online: 21 Jun 2010. * Correspondence: David Kennedy, University of Massachusetts Medical School, Department of Psychiatry, Worcester, United States, David.Kennedy@umassmed.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Jean Frazier Christian Haselgrove Steven Hodge David Kennedy Google Jean Frazier Christian Haselgrove Steven Hodge David Kennedy Google Scholar Jean Frazier Christian Haselgrove Steven Hodge David Kennedy PubMed Jean Frazier Christian Haselgrove Steven Hodge David Kennedy Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.