CANDIShare: A Resource for Pediatric Neuroimaging Data
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1
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. 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.
Summary: 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 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009.
Presentation Type:
Poster Presentation
Topic:
Neuroimaging
Citation:
Hodge
S,
Haselgrove
C,
Kennedy
D and
Frazier
J
(2019). CANDIShare: A Resource for Pediatric Neuroimaging Data.
Front. Neuroinform.
Conference Abstract:
Neuroinformatics 2009.
doi: 10.3389/conf.neuro.11.2009.08.026
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Received:
21 May 2009;
Published Online:
09 May 2019.
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Correspondence:
Steven Hodge, University of Massachusetts Medical School, Department of Psychiatry, Worcester, United States, steven.hodge@umassmed.edu