| Towards the "baby connectome": mapping the structural connectivity of the newborn brain. | |
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MedLine Citation:
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PMID: 22347423 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Defining the structural and functional connectivity of the human brain (the human "connectome") is a basic challenge in neuroscience. Recently, techniques for noninvasively characterizing structural connectivity networks in the adult brain have been developed using diffusion and high-resolution anatomic MRI. The purpose of this study was to establish a framework for assessing structural connectivity in the newborn brain at any stage of development and to show how network properties can be derived in a clinical cohort of six-month old infants sustaining perinatal hypoxic ischemic encephalopathy (HIE). Two different anatomically unconstrained parcellation schemes were proposed and the resulting network metrics were correlated with neurological outcome at 6 months. Elimination and correction of unreliable data, automated parcellation of the cortical surface, and assembling the large-scale baby connectome allowed an unbiased study of the network properties of the newborn brain using graph theoretic analysis. In the application to infants with HIE, a trend to declining brain network integration and segregation was observed with increasing neuromotor deficit scores. |
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Authors:
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Olga Tymofiyeva; Christopher P Hess; Etay Ziv; Nan Tian; Sonia L Bonifacio; Patrick S McQuillen; Donna M Ferriero; A James Barkovich; Duan Xu |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural Date: 2012-02-07 |
Journal Detail:
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Title: PloS one Volume: 7 ISSN: 1932-6203 ISO Abbreviation: PLoS ONE Publication Date: 2012 |
Date Detail:
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Created Date: 2012-02-20 Completed Date: 2012-07-31 Revised Date: 2013-05-20 |
Medline Journal Info:
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Nlm Unique ID: 101285081 Medline TA: PLoS One Country: United States |
Other Details:
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Languages: eng Pagination: e31029 Citation Subset: IM |
Affiliation:
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Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, United States of America. olga.tymofiyeva@ucsf.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Brain
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physiology* Brain Mapping / methods* Humans Hypoxia-Ischemia, Brain / physiopathology* Infant Magnetic Resonance Imaging Models, Neurological Neural Pathways |
| Grant Support | |
ID/Acronym/Agency:
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P50NS035902/NS/NINDS NIH HHS; R01EB009756/EB/NIBIB NIH HHS; R01NS063876/NS/NINDS NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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