Literature DB >> 25269125

A review of mild traumatic brain injury diagnostics: current perspectives, limitations, and emerging technology.

Glen A Cook1, Jason S Hawley1.   

Abstract

Mild traumatic brain injury (mTBI) or concussion is a common battlefield and in-garrison injury caused by transmission of mechanical forces to the head. The energy transferred in such events can cause structural and/or functional changes in the brain that manifest as focal neurological, cognitive, or behavioral dysfunction. Current diagnostic criteria for mTBI are highly limited, variable, and based on subjective self-report. The subjective nature of the symptoms, both in quantity and quality, together with their large overlap in other physical and behavioral maladies, limit the clinician's ability to accurately diagnose, treat, and make prognostic decisions after such injuries. These diagnostic challenges are magnified in an operational environment as well. The Department of Defense has invested significant resources into improving the diagnostic tools and accuracy for mTBI. This focus has been to supplement the clinician's examination with technology that is better able to objectify brain dysfunction after mTBI. Through this review, we discuss the current state of three promising technologies--soluble protein biomarkers, advanced neuroimaging, and quantitative electroencephalography--that are of particular interest within military medicine. Reprint &
Copyright © 2014 Association of Military Surgeons of the U.S.

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Year:  2014        PMID: 25269125     DOI: 10.7205/MILMED-D-13-00435

Source DB:  PubMed          Journal:  Mil Med        ISSN: 0026-4075            Impact factor:   1.437


  5 in total

1.  Perceived Social Support and Its Impact on Mental Fatigue in Patients with Mild Traumatic Brain Injury.

Authors:  En Quan Zeng; Ben Qiang Zeng; Jing Lun Tian; Bing Du; Xiao Bing Tian; Hong Chen
Journal:  Balkan Med J       Date:  2016-03-01       Impact factor: 2.021

2.  Diffusion imaging of mild traumatic brain injury in the impact accelerated rodent model: A pilot study.

Authors:  Zora Kikinis; Marc Muehlmann; Ofer Pasternak; Sharon Peled; Praveen Kulkarni; Craig Ferris; Sylvain Bouix; Yogesh Rathi; Inga K Koerte; Steve Pieper; Alexander Yarmarkovich; Caryn L Porter; Bruce S Kristal; Martha E Shenton
Journal:  Brain Inj       Date:  2017-06-19       Impact factor: 2.311

3.  Trigeminal neuroplasticity underlies allodynia in a preclinical model of mild closed head traumatic brain injury (cTBI).

Authors:  Golam Mustafa; Jiamei Hou; Shigeharu Tsuda; Rachel Nelson; Ankita Sinharoy; Zachary Wilkie; Rahul Pandey; Robert M Caudle; John K Neubert; Floyd J Thompson; Prodip Bose
Journal:  Neuropharmacology       Date:  2016-03-10       Impact factor: 5.250

4.  Multivariate analysis of traumatic brain injury: development of an assessment score.

Authors:  John E Buonora; Angela M Yarnell; Rachel C Lazarus; Michael Mousseau; Lawrence L Latour; Sandro B Rizoli; Andrew J Baker; Shawn G Rhind; Ramon Diaz-Arrastia; Gregory P Mueller
Journal:  Front Neurol       Date:  2015-03-30       Impact factor: 4.003

5.  The S-100B level, intracranial pressure, body temperature, and transcranial blood flow velocities predict the outcome of the treatment of severe brain injury.

Authors:  Sebastian Dzierzęcki; Mirosław Ząbek; Gabriela Zapolska; Ryszard Tomasiuk
Journal:  Medicine (Baltimore)       Date:  2022-09-23       Impact factor: 1.817

  5 in total

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