1. Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction
- Author
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Paul M. Vespa, Stephen R. Aylward, Marcel Prastawa, Andrei Irimia, Bo Wang, John D. Van Horn, Ron Kikinis, Danielle F. Pace, Guido Gerig, and David A. Hovda
- Subjects
Pathology ,SPM ,Review Article ,diffuse axonal injury ,0302 clinical medicine ,ADC, apparent diffusion coefficient ,DSI ,TBI ,three-dimensional ,FA, fractional anisotropy ,Fluid Attenuated Inversion Recovery ,PCA ,traumatic brain injury ,fMRI ,ANTS, Advanced Normalization ToolS ,GM ,diffusion tensor imaging ,TBSS ,CT, computed tomography ,BOLD, blood oxygen level dependent ,Neurology ,fMRI, functional magnetic resonance imaging ,DTI ,GRE ,tract-based spatial statistics ,Connectome ,apparent diffusion coefficient ,Biomedical Imaging ,FLAIR, Fluid Attenuated Inversion Recovery ,medicine.medical_specialty ,Connectomics ,NINDS ,Physical Injury - Accidents and Adverse Effects ,LDA ,ANTS ,CC, corpus callosum ,GOS, Glasgow Outcome Score ,Traumatic Brain Injury (TBI) ,Trauma ,TBI, traumatic brain injury ,03 medical and health sciences ,Clinical Research ,diffusion weighted imaging ,WM, white matter ,NINDS, National Institute of Neurological Disorders and Stroke ,Traumatic Head and Spine Injury ,Diffusion tensor ,3D, three-dimensional ,computed tomography ,GCS ,medicine.disease ,blood oxygen level dependent ,TBSS, tract-based spatial statistics ,GM, gray matter ,PROspective MOtion Correction ,DTI, diffusion tensor imaging ,Neurology (clinical) ,Functional magnetic resonance imaging ,Outcome prediction ,diffusion spectrum imaging ,Neuroscience ,030217 neurology & neurosurgery ,Diffusion MRI ,BOLD ,linear discriminant analysis ,principal component analysis ,Susceptibility Weighted Imaging ,DWI ,FSE ,Outcome measures ,PROMO, PROspective MOtion Correction ,030218 nuclear medicine & medical imaging ,corpus callosum ,HARDI ,FLAIR ,magnetic resonance imaging ,Pediatric ,screening and diagnosis ,Advanced Normalization ToolS ,IBA, Individual Brain Atlas ,medicine.diagnostic_test ,HARDI, high-angular-resolution diffusion imaging ,AAL ,Gradient Recalled Echo ,Statistical Parametric Mapping ,gray matter ,CC ,Childhood Injury ,DSI, diffusion spectrum imaging ,Detection ,Neurological ,National Institute of Neurological Disorders and Stroke ,IBA ,Psychology ,white matter ,fractional anisotropy ,GCS, Glasgow Coma Score ,SWI, Susceptibility Weighted Imaging ,3D ,CT ,MRI ,Individual Brain Atlas ,FA ,Traumatic brain injury ,Cognitive Neuroscience ,Context (language use) ,Neuroimaging ,GRE, Gradient Recalled Echo ,Glasgow Outcome Score ,MRI/fMRI ,FSE, Functional Status Examination ,AAL, Automatic Anatomical Labeling ,medicine ,SWI ,Radiology, Nuclear Medicine and imaging ,Automatic Anatomical Labeling ,WM ,high-angular-resolution diffusion imaging ,PCA, principal component analysis ,Glasgow Coma Score ,DWI, diffusion weighted imaging ,GOS ,DAI ,Neurosciences ,SPM, Statistical Parametric Mapping ,Functional Status Examination ,DAI, diffuse axonal injury ,functional magnetic resonance imaging ,Brain Disorders ,4.1 Discovery and preclinical testing of markers and technologies ,ADC ,MRI, magnetic resonance imaging ,PROMO ,LDA, linear discriminant analysis - Abstract
Recent 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., Highlights ► MRI/DTI processing methods are becoming increasingly prominent in TBI research. ► Brain connectomics and network analysis may offer useful biomarkers of TBI outcome. ► Multivariate statistics offers useful ways to identify biomarkers of TBI evolution.
- Published
- 2012