Document Detail

Towards the "baby connectome": mapping the structural connectivity of the newborn brain.
MedLine Citation:
PMID:  22347423     Owner:  NLM     Status:  MEDLINE    
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.
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:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2012-02-07
Journal Detail:
Title:  PloS one     Volume:  7     ISSN:  1932-6203     ISO Abbreviation:  PLoS ONE     Publication Date:  2012  
Date Detail:
Created Date:  2012-02-20     Completed Date:  2012-07-31     Revised Date:  2013-06-26    
Medline Journal Info:
Nlm Unique ID:  101285081     Medline TA:  PLoS One     Country:  United States    
Other Details:
Languages:  eng     Pagination:  e31029     Citation Subset:  IM    
Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, United States of America.
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MeSH Terms
Brain / physiology*
Brain Mapping / methods*
Hypoxia-Ischemia, Brain / physiopathology*
Magnetic Resonance Imaging
Models, Neurological
Neural Pathways
Grant Support

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