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Conference Paper: Tract-based spatial statistics (TBSS): application to detecting white matter tract variation in mild hypoxic-ischemic neonates

TitleTract-based spatial statistics (TBSS): application to detecting white matter tract variation in mild hypoxic-ischemic neonates
Authors
Issue Date2012
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000269
Citation
The 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2012), San Diego, CA., 28 August-1 September 2012. In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 2012, p. 432-435 How to Cite?
AbstractThe aim of this study is to employ tract-based spatial statistics (TBSS) to analyze the voxel-wise differences in DTI parameters between normal and mild hypoxic-ischemic (HI) neonatal brains. Forty-one full term neonates (24 normal controls and 17 with mild HI injury) and 31 preterm neonates (20 normal controls and 11 with mild HI injury) underwent T1 weighted imaging, T2 weighted imaging and diffusion tensor imaging (DTI) within 28 days after birth. The voxel differences of fractional anisotropy (FA), lambda1, lambda2, and lambda3 values between mild HI group and control group were analyzed in preterm and full term neonates respectively. The significantly decreased FA with increased lambda2, lambda3 in corticospinal tract, genu of corpus callosum (GCC), external capsule (EC) and splenium of the corpus callosum (SCC) in mild HI neonates suggested deficits or delays in both myelination and premyelination. Such impaired corticospinal tract, in both preterm and term neonates, may directly lead to the subsequent poor motor performance. Impaired EC and SCC, the additional injured sites observed in full term neonates with mild HI injury, may be causally responsible for the dysfunction in coordination and integration. In conclusion, TBSS provides an objective, independent and sensitive method for DTI data analysis of neonatal white matter alterations after mild HI injury.
Persistent Identifierhttp://hdl.handle.net/10722/191626
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorGao, Jen_US
dc.contributor.authorLi, Xen_US
dc.contributor.authorHou, Xen_US
dc.contributor.authorDing, Aen_US
dc.contributor.authorChan, KCen_US
dc.contributor.authorSun, Qen_US
dc.contributor.authorWu, EXen_US
dc.contributor.authorYang, Jen_US
dc.date.accessioned2013-10-15T07:14:44Z-
dc.date.available2013-10-15T07:14:44Z-
dc.date.issued2012en_US
dc.identifier.citationThe 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2012), San Diego, CA., 28 August-1 September 2012. In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 2012, p. 432-435en_US
dc.identifier.isbn978-1-4577-1787-1-
dc.identifier.issn1557-170X-
dc.identifier.urihttp://hdl.handle.net/10722/191626-
dc.description.abstractThe aim of this study is to employ tract-based spatial statistics (TBSS) to analyze the voxel-wise differences in DTI parameters between normal and mild hypoxic-ischemic (HI) neonatal brains. Forty-one full term neonates (24 normal controls and 17 with mild HI injury) and 31 preterm neonates (20 normal controls and 11 with mild HI injury) underwent T1 weighted imaging, T2 weighted imaging and diffusion tensor imaging (DTI) within 28 days after birth. The voxel differences of fractional anisotropy (FA), lambda1, lambda2, and lambda3 values between mild HI group and control group were analyzed in preterm and full term neonates respectively. The significantly decreased FA with increased lambda2, lambda3 in corticospinal tract, genu of corpus callosum (GCC), external capsule (EC) and splenium of the corpus callosum (SCC) in mild HI neonates suggested deficits or delays in both myelination and premyelination. Such impaired corticospinal tract, in both preterm and term neonates, may directly lead to the subsequent poor motor performance. Impaired EC and SCC, the additional injured sites observed in full term neonates with mild HI injury, may be causally responsible for the dysfunction in coordination and integration. In conclusion, TBSS provides an objective, independent and sensitive method for DTI data analysis of neonatal white matter alterations after mild HI injury.-
dc.languageengen_US
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000269-
dc.relation.ispartofIEEE Engineering in Medicine and Biology Society Conference Proceedingsen_US
dc.rightsIEEE Engineering in Medicine and Biology Society Conference Proceedings. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.meshBrain - pathology-
dc.subject.meshDiffusion Tensor Imaging - statistics and numerical data-
dc.subject.meshHypoxia-Ischemia, Brain - diagnosis - pathology-
dc.subject.meshImage Interpretation, Computer-Assisted - methods-
dc.subject.meshMagnetic Resonance Imaging - statistics and numerical data-
dc.titleTract-based spatial statistics (TBSS): application to detecting white matter tract variation in mild hypoxic-ischemic neonatesen_US
dc.typeConference_Paperen_US
dc.identifier.emailWu, EX: ewu1@hkucc.hku.hken_US
dc.identifier.authorityWu, EX=rp00193en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/EMBC.2012.6345960-
dc.identifier.pmid23365921-
dc.identifier.scopuseid_2-s2.0-84870793765-
dc.identifier.hkuros225958en_US
dc.identifier.spage432-
dc.identifier.epage435-
dc.publisher.placeUnited Statesen_US
dc.customcontrol.immutablesml 131107-

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