Literature DB >> 25571203

Quantitative assessment of post-concussion syndrome following mild traumatic brain injury using robotic technology.

Vignesh Subbian, Jason M Meunier, Joseph J Korfhagen, Jonathan J Ratcliff, George J Shaw, Fred R Beyette.   

Abstract

Post-Concussion Syndrome (PCS) is a common sequelae of mild Traumatic Brain Injury (mTBI). Currently, there is no reliable test to determine which patients will develop PCS following an mTBI. As a result, clinicians are challenged to identify patients at high risk for subsequent PCS. Hence, there is a need to develop an objective test that can guide clinical risk stratification and predict the likelihood of PCS at the initial point of care in an Emergency Department (ED). This paper presents the results of robotic-assisted neurologic testing completed on mTBI patients in the ED and its ability to predict PCS at 3 weeks post-injury. Preliminary results show that abnormal proprioception, as measured using robotic testing is associated with higher risk of developing PCS following mTBI. In this pilot study, proprioceptive measures obtained through robotic testing had a 77% specificity (95CI: 46%-94%) and a 64% sensitivity (95CI: 41%-82%).

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Year:  2014        PMID: 25571203      PMCID: PMC4939076          DOI: 10.1109/EMBC.2014.6944835

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  14 in total

1.  Persistent neurobehavioral problems following mild traumatic brain injury.

Authors:  L C Hartlage; D Durant-Wilson; P C Patch
Journal:  Arch Clin Neuropsychol       Date:  2001-08       Impact factor: 2.813

Review 2.  Head trauma.

Authors:  Alisa D Gean; Nancy J Fischbein
Journal:  Neuroimaging Clin N Am       Date:  2010-11       Impact factor: 2.264

3.  Robotic assessment of sensorimotor deficits after traumatic brain injury.

Authors:  Chantel T Debert; Troy M Herter; Stephen H Scott; Sean Dukelow
Journal:  J Neurol Phys Ther       Date:  2012-06       Impact factor: 3.649

4.  Postconcussional disorder: Are the DSM-IV criteria an improvement over the ICD-10?

Authors:  Stephen R McCauley; Corwin Boake; Claudia Pedroza; Sharon A Brown; Harvey S Levin; Heather S Goodman; Shirley G Merritt
Journal:  J Nerv Ment Dis       Date:  2005-08       Impact factor: 2.254

Review 5.  Potential of robots as next-generation technology for clinical assessment of neurological disorders and upper-limb therapy.

Authors:  Stephen H Scott; Sean P Dukelow
Journal:  J Rehabil Res Dev       Date:  2011

Review 6.  Proprioception and joint stability.

Authors:  J Jerosch; M Prymka
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  1996       Impact factor: 4.342

7.  When a minor head injury results in enduring symptoms: a prospective investigation of risk factors for postconcussional syndrome after mild traumatic brain injury.

Authors:  Ruihua Hou; Rona Moss-Morris; Robert Peveler; Karin Mogg; Brendan P Bradley; Antonio Belli
Journal:  J Neurol Neurosurg Psychiatry       Date:  2011-10-25       Impact factor: 10.154

8.  Predicting postconcussion syndrome after mild traumatic brain injury in children and adolescents who present to the emergency department.

Authors:  Lynn Babcock; Terri Byczkowski; Shari L Wade; Mona Ho; Sohug Mookerjee; Jeffrey J Bazarian
Journal:  JAMA Pediatr       Date:  2013-02       Impact factor: 16.193

Review 9.  The impact of traumatic brain injuries: a global perspective.

Authors:  Adnan A Hyder; Colleen A Wunderlich; Prasanthi Puvanachandra; G Gururaj; Olive C Kobusingye
Journal:  NeuroRehabilitation       Date:  2007       Impact factor: 2.138

10.  Quantitative assessment of limb position sense following stroke.

Authors:  Sean P Dukelow; Troy M Herter; Kimberly D Moore; Mary Jo Demers; Janice I Glasgow; Stephen D Bagg; Kathleen E Norman; Stephen H Scott
Journal:  Neurorehabil Neural Repair       Date:  2009-09-30       Impact factor: 3.919

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  3 in total

1.  Integration of New Technology for Research in the Emergency Department: Feasibility of Deploying a Robotic Assessment Tool for Mild Traumatic Brain Injury Evaluation.

Authors:  Vignesh Subbian; Jonathan J Ratcliff; Jason M Meunier; Joseph J Korfhagen; Fred R Beyette; George J Shaw
Journal:  IEEE J Transl Eng Health Med       Date:  2015-04-23       Impact factor: 3.316

2.  Do children and adolescent ice hockey players with and without a history of concussion differ in robotic testing of sensory, motor and cognitive function?

Authors:  C Elaine Little; Carolyn Emery; Stephen H Scott; Willem Meeuwisse; Luz Palacios-Derflingher; Sean P Dukelow
Journal:  J Neuroeng Rehabil       Date:  2016-10-12       Impact factor: 4.262

3.  Test-retest reliability of KINARM robot sensorimotor and cognitive assessment: in pediatric ice hockey players.

Authors:  C Elaine Little; Carolyn Emery; Amanda Black; Stephen H Scott; Willem Meeuwisse; Alberto Nettel-Aguirre; Brian Benson; Sean Dukelow
Journal:  J Neuroeng Rehabil       Date:  2015-09-05       Impact factor: 4.262

  3 in total

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