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dc.contributor.authorIrimia, Andreien_US
dc.contributor.authorWang, Boen_US
dc.contributor.authorAylward, Stephen R.en_US
dc.contributor.authorPrastawa, Marcel W.en_US
dc.contributor.authorPace, Danielle F.en_US
dc.contributor.authorGerig, Guidoen_US
dc.contributor.authorHovda, David A.en_US
dc.contributor.authorKikinis, Ronen_US
dc.contributor.authorVespa, Paul M.en_US
dc.contributor.authorVan Horn, John D.en_US
dc.date.accessioned2014-03-10T20:34:11Z
dc.date.issued2012en_US
dc.identifier.citationIrimia, Andrei, Bo Wang, Stephen R. Aylward, Marcel W. Prastawa, Danielle F. Pace, Guido Gerig, David A. Hovda, Ron Kikinis, Paul M. Vespa, and John D. Van Horn. 2012. “Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction☆.” NeuroImage : Clinical 1 (1): 1-17. doi:10.1016/j.nicl.2012.08.002. http://dx.doi.org/10.1016/j.nicl.2012.08.002.en
dc.identifier.issn2213-1582en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:11878927
dc.description.abstractRecent contributions to the body of knowledge on traumatic brain injury (TBI) favor the view that multimodal neuroimaging using structural and functional magnetic resonance imaging (MRI and fMRI, respectively) as well as diffusion tensor imaging (DTI) has excellent potential to identify novel biomarkers and predictors of TBI outcome. This is particularly the case when such methods are appropriately combined with volumetric/morphometric analysis of brain structures and with the exploration of TBI-related changes in brain network properties at the level of the connectome. In this context, our present review summarizes recent developments on the roles of these two techniques in the search for novel structural neuroimaging biomarkers that have TBI outcome prognostication value. The themes being explored cover notable trends in this area of research, including (1) the role of advanced MRI processing methods in the analysis of structural pathology, (2) the use of brain connectomics and network analysis to identify outcome biomarkers, and (3) the application of multivariate statistics to predict outcome using neuroimaging metrics. The goal of the review is to draw the community's attention to these recent advances on TBI outcome prediction methods and to encourage the development of new methodologies whereby structural neuroimaging can be used to identify biomarkers of TBI outcome.en
dc.language.isoen_USen
dc.publisherElsevieren
dc.relation.isversionofdoi:10.1016/j.nicl.2012.08.002en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3757727/pdf/en
dash.licenseLAAen_US
dc.subjectAAL, Automatic Anatomical Labelingen
dc.subjectADC, apparent diffusion coefficienten
dc.subjectANTS, Advanced Normalization ToolSen
dc.subjectBOLD, blood oxygen level dependenten
dc.subjectCC, corpus callosumen
dc.subjectCT, computed tomographyen
dc.subjectDAI, diffuse axonal injuryen
dc.subjectDSI, diffusion spectrum imagingen
dc.subjectDTI, diffusion tensor imagingen
dc.subjectDWI, diffusion weighted imagingen
dc.subjectFA, fractional anisotropyen
dc.subjectFLAIR, Fluid Attenuated Inversion Recoveryen
dc.subjectfMRI, functional magnetic resonance imagingen
dc.subjectFSE, Functional Status Examinationen
dc.subjectGCS, Glasgow Coma Scoreen
dc.subjectGOS, Glasgow Outcome Scoreen
dc.subjectGM, gray matteren
dc.subjectGRE, Gradient Recalled Echoen
dc.subjectHARDI, high-angular-resolution diffusion imagingen
dc.subjectIBA, Individual Brain Atlasen
dc.subjectLDA, linear discriminant analysisen
dc.subjectMRI, magnetic resonance imagingen
dc.subjectNINDS, National Institute of Neurological Disorders and Strokeen
dc.subjectPCA, principal component analysisen
dc.subjectPROMO, PROspective MOtion Correctionen
dc.subjectSPM, Statistical Parametric Mappingen
dc.subjectSWI, Susceptibility Weighted Imagingen
dc.subjectTBI, traumatic brain injuryen
dc.subjectTBSS, tract-based spatial statisticsen
dc.subjectWM, white matteren
dc.subject3D, three-dimensionalen
dc.subjectTraumaen
dc.subjectNeuroimagingen
dc.subjectMRI/fMRIen
dc.subjectDiffusion tensoren
dc.subjectOutcome measuresen
dc.titleNeuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction☆en
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalNeuroImage : Clinicalen
dash.depositing.authorKikinis, Ronen_US
dc.date.available2014-03-10T20:34:11Z
dc.identifier.doi10.1016/j.nicl.2012.08.002*
dash.contributor.affiliatedKikinis, Ron


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