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CANDIShare: A Resource for Pediatric Neuroimaging Data

CANDIShare: A Resource for Pediatric Neuroimaging Data Neuroinform (2012) 10:319–322 DOI 10.1007/s12021-011-9133-y NEWS ITEM David N. Kennedy & Christian Haselgrove & Steven M. Hodge & Pallavi S. Rane & Nikos Makris & Jean A. Frazier Published online: 18 October 2011 Springer Science+Business Media, LLC 2011 . . . Keywords MRI Segmentation Neuroanatomy The Child and Adolescent NeuroDevelopment Initia- Childhood psychiatric disorders tive (CANDI) at University of Massachusetts Medical School is making available a series of structural brain images, as well as their anatomic segmentations and There are numerous psychiatric disorders that can plague demographic data, as a coordinated set of related the development of children. Each of these disorders morphometric resources. The initial data set is a release manifests as a distinct pattern of clinical, behavioral, of 103 subjects (T1-weighted MRI scans and anatomic etiological, neuroanatomic and neurofunctional character- segmentation) that comprised the neuroanatomic data istics that challenge the management of the individual published in 2008 in an article by Frazier, et al. The patient, as well as the development of successful interven- subjects include 57 males and 46 females, aged 4–17, and tion and prevention strategies. In the area of neuroimaging, come from four diagnostic groups: Healthy Controls (N=29), a substantial number of studies have http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neuroinformatics Springer Journals

CANDIShare: A Resource for Pediatric Neuroimaging Data

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Publisher
Springer Journals
Copyright
Copyright © 2011 by Springer Science+Business Media, LLC
Subject
Biomedicine; Computer Appl. in Life Sciences; Neurology; Computational Biology/Bioinformatics; Bioinformatics; Neurosciences
ISSN
1539-2791
eISSN
1559-0089
DOI
10.1007/s12021-011-9133-y
pmid
22006352
Publisher site
See Article on Publisher Site

Abstract

Neuroinform (2012) 10:319–322 DOI 10.1007/s12021-011-9133-y NEWS ITEM David N. Kennedy & Christian Haselgrove & Steven M. Hodge & Pallavi S. Rane & Nikos Makris & Jean A. Frazier Published online: 18 October 2011 Springer Science+Business Media, LLC 2011 . . . Keywords MRI Segmentation Neuroanatomy The Child and Adolescent NeuroDevelopment Initia- Childhood psychiatric disorders tive (CANDI) at University of Massachusetts Medical School is making available a series of structural brain images, as well as their anatomic segmentations and There are numerous psychiatric disorders that can plague demographic data, as a coordinated set of related the development of children. Each of these disorders morphometric resources. The initial data set is a release manifests as a distinct pattern of clinical, behavioral, of 103 subjects (T1-weighted MRI scans and anatomic etiological, neuroanatomic and neurofunctional character- segmentation) that comprised the neuroanatomic data istics that challenge the management of the individual published in 2008 in an article by Frazier, et al. The patient, as well as the development of successful interven- subjects include 57 males and 46 females, aged 4–17, and tion and prevention strategies. In the area of neuroimaging, come from four diagnostic groups: Healthy Controls (N=29), a substantial number of studies have

Journal

NeuroinformaticsSpringer Journals

Published: Oct 18, 2011

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