Literature DB >> 25655872

Traumatic brain injury imaging research roadmap.

M Wintermark1, L Coombs2, T J Druzgal3, A S Field4, C G Filippi5, R Hicks6, R Horton2, Y W Lui7, M Law8, P Mukherjee9, A Norbash10, G Riedy11, P C Sanelli12, J R Stone13, G Sze14, M Tilkin2, C T Whitlow15, E A Wilde16, G York17, J M Provenzale18.   

Abstract

The past decade has seen impressive advances in the types of neuroimaging information that can be acquired in patients with traumatic brain injury. However, despite this increase in information, understanding of the contribution of this information to prognostic accuracy and treatment pathways for patients is limited. Available techniques often allow us to infer the presence of microscopic changes indicative of alterations in physiology and function in brain tissue. However, because histologic confirmation is typically lacking, conclusions reached by using these techniques remain solely inferential in almost all cases. Hence, a need exists for validation of these techniques by using data from large population samples that are obtained in a uniform manner, analyzed according to well-accepted procedures, and correlated with closely monitored clinical outcomes. At present, many of these approaches remain confined to population-based research rather than diagnosis at an individual level, particularly with regard to traumatic brain injury that is mild or moderate in degree. A need and a priority exist for patient-centered tools that will allow advanced neuroimaging tools to be brought into clinical settings. One barrier to developing these tools is a lack of an age-, sex-, and comorbidities-stratified, sequence-specific, reference imaging data base that could provide a clear understanding of normal variations across populations. Such a data base would provide researchers and clinicians with the information necessary to develop computational tools for the patient-based interpretation of advanced neuroimaging studies in the clinical setting. The recent "Joint ASNR-ACR HII-ASFNR TBI Workshop: Bringing Advanced Neuroimaging for Traumatic Brain Injury into the Clinic" on May 23, 2014, in Montreal, Quebec, Canada, brought together neuroradiologists, neurologists, psychiatrists, neuropsychologists, neuroimaging scientists, members of the National Institute of Neurologic Disorders and Stroke, industry representatives, and other traumatic brain injury stakeholders to attempt to reach consensus on issues related to and develop consensus recommendations in terms of creating both a well-characterized normative data base of comprehensive imaging and ancillary data to serve as a reference for tools that will allow interpretation of advanced neuroimaging tests at an individual level of a patient with traumatic brain injury. The workshop involved discussions concerning the following: 1) designation of the policies and infrastructure needed for a normative data base, 2) principles for characterizing normal control subjects, and 3) standardizing research neuroimaging protocols for traumatic brain injury. The present article summarizes these recommendations and examines practical steps to achieve them.
© 2015 by American Journal of Neuroradiology.

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Year:  2015        PMID: 25655872      PMCID: PMC8013059          DOI: 10.3174/ajnr.A4254

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  50 in total

1.  A study of persistent post-concussion symptoms in mild head trauma using positron emission tomography.

Authors:  S H A Chen; D A Kareken; P S Fastenau; L E Trexler; G D Hutchins
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-03       Impact factor: 10.154

2.  Subject-specific changes in brain white matter on diffusion tensor imaging after sports-related concussion.

Authors:  Jeffrey J Bazarian; Tong Zhu; Brian Blyth; Allyson Borrino; Jianhui Zhong
Journal:  Magn Reson Imaging       Date:  2011-11-12       Impact factor: 2.546

Review 3.  Recommendations for the use of common outcome measures in traumatic brain injury research.

Authors:  Elisabeth A Wilde; Gale G Whiteneck; Jennifer Bogner; Tamara Bushnik; David X Cifu; Sureyya Dikmen; Louis French; Joseph T Giacino; Tessa Hart; James F Malec; Scott R Millis; Thomas A Novack; Mark Sherer; David S Tulsky; Rodney D Vanderploeg; Nicole von Steinbuechel
Journal:  Arch Phys Med Rehabil       Date:  2010-11       Impact factor: 3.966

4.  Comparative evaluation of corpus callosum DTI metrics in acute mild and moderate traumatic brain injury: its correlation with neuropsychometric tests.

Authors:  Raj Kumar; Rakesh K Gupta; Mazhar Husain; Chaynika Chaudhry; Arti Srivastava; Sona Saksena; Ram K S Rathore
Journal:  Brain Inj       Date:  2009-07       Impact factor: 2.311

5.  Cerebrocerebellar hypometabolism associated with repetitive blast exposure mild traumatic brain injury in 12 Iraq war Veterans with persistent post-concussive symptoms.

Authors:  Elaine R Peskind; Eric C Petrie; Donna J Cross; Kathleen Pagulayan; Kathleen McCraw; David Hoff; Kim Hart; Chang-En Yu; Murray A Raskind; David G Cook; Satoshi Minoshima
Journal:  Neuroimage       Date:  2010-04-10       Impact factor: 6.556

6.  Diffusion tensor MR imaging in diffuse axonal injury.

Authors:  Konstantinos Arfanakis; Victor M Haughton; John D Carew; Baxter P Rogers; Robert J Dempsey; M Elizabeth Meyerand
Journal:  AJNR Am J Neuroradiol       Date:  2002-05       Impact factor: 3.825

7.  The relationship between mood disorders and MRI findings following traumatic brain injury.

Authors:  Michael Schönberger; Jennie Ponsford; David Reutens; Richard Beare; David Clarke; Richard O'Sullivan
Journal:  Brain Inj       Date:  2011       Impact factor: 2.311

8.  Complexity analysis of resting state magnetoencephalography activity in traumatic brain injury patients.

Authors:  Qian Luo; Duo Xu; Tyler Roskos; Jeff Stout; Lynda Kull; Xi Cheng; Diane Whitson; Erich Boomgarden; Jeffrey Gfeller; Richard D Bucholz
Journal:  J Neurotrauma       Date:  2013-08-31       Impact factor: 5.269

9.  Analysis of acute traumatic axonal injury using diffusion tensor imaging.

Authors:  V F J Newcombe; G B Williams; J Nortje; P G Bradley; S G Harding; P Smielewski; J P Coles; B Maiya; J H Gillard; P J Hutchinson; J D Pickard; T A Carpenter; D K Menon
Journal:  Br J Neurosurg       Date:  2007-08       Impact factor: 1.596

10.  Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury.

Authors:  Ming-Xiong Huang; Sharon Nichols; Dewleen G Baker; Ashley Robb; Annemarie Angeles; Kate A Yurgil; Angela Drake; Michael Levy; Tao Song; Robert McLay; Rebecca J Theilmann; Mithun Diwakar; Victoria B Risbrough; Zhengwei Ji; Charles W Huang; Douglas G Chang; Deborah L Harrington; Laura Muzzatti; Jose M Canive; J Christopher Edgar; Yu-Han Chen; Roland R Lee
Journal:  Neuroimage Clin       Date:  2014-06-16       Impact factor: 4.881

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  11 in total

1.  Alterations of Parenchymal Microstructure, Neuronal Connectivity, and Cerebrovascular Resistance at Adolescence after Mild-to-Moderate Traumatic Brain Injury in Early Development.

Authors:  Maxime Parent; Ying Li; Vijayalakshmi Santhakumar; Fahmeed Hyder; Basavaraju G Sanganahalli; Sridhar S Kannurpatti
Journal:  J Neurotrauma       Date:  2018-08-13       Impact factor: 5.269

Review 2.  The vast potential and bright future of neuroimaging.

Authors:  Max Wintermark; Rivka Colen; Christopher T Whitlow; Greg Zaharchuk
Journal:  Br J Radiol       Date:  2018-06-06       Impact factor: 3.039

3.  Diffusion Tensor Imaging of the Normal Cervical and Thoracic Pediatric Spinal Cord.

Authors:  S Saksena; D M Middleton; L Krisa; P Shah; S H Faro; R Sinko; J Gaughan; J Finsterbusch; M J Mulcahey; F B Mohamed
Journal:  AJNR Am J Neuroradiol       Date:  2016-07-14       Impact factor: 3.825

4.  Prevalence of Abnormal Magnetic Resonance Imaging Findings in Children with Persistent Symptoms after Pediatric Sports-Related Concussion.

Authors:  Robert H Bonow; Seth D Friedman; Francisco A Perez; Richard G Ellenbogen; Samuel R Browd; Christine L Mac Donald; Monica S Vavilala; Frederick P Rivara
Journal:  J Neurotrauma       Date:  2017-07-19       Impact factor: 5.269

5.  Orthopedic Injured versus Uninjured Comparison Groups for Neuroimaging Research in Mild Traumatic Brain Injury.

Authors:  Elisabeth A Wilde; Ashley L Ware; Xiaoqi Li; Trevor C Wu; Stephen R McCauley; Amanda Barnes; Mary R Newsome; Brian D Biekman; Jill V Hunter; Zili D Chu; Harvey S Levin
Journal:  J Neurotrauma       Date:  2018-10-10       Impact factor: 5.269

6.  White matter microstructural abnormalities in blast-exposed combat veterans: accounting for potential pre-injury factors using consanguineous controls.

Authors:  Andrew C McClelland; Roman Fleysher; Weiya Mu; Namhee Kim; Michael L Lipton
Journal:  Neuroradiology       Date:  2018-08-17       Impact factor: 2.804

7.  NIR light propagation in a digital head model for traumatic brain injury (TBI).

Authors:  Robert Francis; Bilal Khan; George Alexandrakis; James Florence; Duncan MacFarlane
Journal:  Biomed Opt Express       Date:  2015-08-06       Impact factor: 3.732

Review 8.  Mapping the Connectome Following Traumatic Brain Injury.

Authors:  Yousef Hannawi; Robert D Stevens
Journal:  Curr Neurol Neurosci Rep       Date:  2016-05       Impact factor: 5.081

Review 9.  Diffusion-Weighted Imaging in Mild Traumatic Brain Injury: A Systematic Review of the Literature.

Authors:  Hannah M Lindsey; Cooper B Hodges; Kaitlyn M Greer; Elisabeth A Wilde; Tricia L Merkley
Journal:  Neuropsychol Rev       Date:  2021-03-15       Impact factor: 6.940

Review 10.  Diffusion MR Imaging in Mild Traumatic Brain Injury.

Authors:  Maria J Borja; Sohae Chung; Yvonne W Lui
Journal:  Neuroimaging Clin N Am       Date:  2018-02       Impact factor: 2.624

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