Literature DB >> 27392948

Dynamic motor tracking is sensitive to subacute mTBI.

Michael S Fine1, Peter S Lum2,3,4, Elizabeth B Brokaw5, Matthew S Caywood5, Anthony J Metzger2,3, Alexander V Libin2,6,4, Jill Terner2, Jack W Tsao7,8, Jacob N Norris9, David Milzman2,6, Diane Williams10, Jeff Colombe5, Alexander W Dromerick2,6,4.   

Abstract

Effective screening for mild traumatic brain injury (mTBI) is critical to accurate diagnosis, intervention, and improving outcomes. However, detecting mTBI using conventional clinical techniques is difficult, time intensive, and subject to observer bias. We examine the use of a simple visuomotor tracking task as a screening tool for mTBI. Thirty participants, 16 with clinically diagnosed mTBI (mean time since injury: 36.4 ± 20.9 days (95 % confidence interval); median = 20 days) were asked to squeeze a hand dynamometer and vary their grip force to match a visual, variable target force for 3 min. We found that controls outperformed individuals with mTBI; participants with mTBI moved with increased variability, as quantified by the standard deviation of the tracking error. We modeled participants' feedback response-how participants changed their grip force in response to errors in position and velocity-and used model parameters to classify mTBI with a sensitivity of 87 % and a specificity of 93 %, higher than several standard clinical scales. Our findings suggest that visuomotor tracking could be an effective supplement to conventional assessment tools to screen for mTBI and track mTBI symptoms during recovery.

Entities:  

Keywords:  Concussion; Head trauma; Visuomotor tracking; mTBI

Mesh:

Year:  2016        PMID: 27392948     DOI: 10.1007/s00221-016-4714-5

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  35 in total

Review 1.  Basal ganglia mechanisms underlying precision grip force control.

Authors:  Janey Prodoehl; Daniel M Corcos; David E Vaillancourt
Journal:  Neurosci Biobehav Rev       Date:  2009-03-14       Impact factor: 8.989

2.  On the role of the ventral premotor cortex and anterior intraparietal area for predictive and reactive scaling of grip force.

Authors:  Manuel Dafotakis; Roland Sparing; Simon B Eickhoff; Gereon R Fink; Dennis A Nowak
Journal:  Brain Res       Date:  2008-06-19       Impact factor: 3.252

3.  Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms.

Authors: 
Journal:  Neural Comput       Date:  1998-09-15       Impact factor: 2.026

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Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

5.  The Rivermead Post Concussion Symptoms Questionnaire: a measure of symptoms commonly experienced after head injury and its reliability.

Authors:  N S King; S Crawford; F J Wenden; N E Moss; D T Wade
Journal:  J Neurol       Date:  1995-09       Impact factor: 4.849

6.  Age-related kinematic differences as influenced by task difficulty, target size, and movement amplitude.

Authors:  Caroline J Ketcham; Rachael D Seidler; Arend W A Van Gemmert; George E Stelmach
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2002-01       Impact factor: 4.077

7.  Eye movement and visuomotor arm movement deficits following mild closed head injury.

Authors:  Marcus H Heitger; Tim J Anderson; Richard D Jones; John C Dalrymple-Alford; Chris M Frampton; Michael W Ardagh
Journal:  Brain       Date:  2004-01-21       Impact factor: 13.501

8.  Static and dynamic visuomotor task performance in children with acquired brain injury: predictive control deficits under increased temporal pressure.

Authors:  Karen Caeyenberghs; Dominique van Roon; Katrijn van Aken; Paul De Cock; Catharine Vander Linden; Stephan P Swinnen; Bouwien C M Smits-Engelsman
Journal:  J Head Trauma Rehabil       Date:  2009 Sep-Oct       Impact factor: 2.710

Review 9.  A unified science of concussion.

Authors:  Jun Maruta; Stephanie W Lee; Emily F Jacobs; Jamshid Ghajar
Journal:  Ann N Y Acad Sci       Date:  2010-10       Impact factor: 5.691

10.  Dynamic visuomotor synchronization: quantification of predictive timing.

Authors:  Jun Maruta; Kristin J Heaton; Elisabeth M Kryskow; Alexis L Maule; Jamshid Ghajar
Journal:  Behav Res Methods       Date:  2013-03
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  2 in total

1.  Maximum AmbiGuity Distance for Phase Imaging in Detection of Traumatic Cerebral Microbleeds: An Improvement over Current Imaging Practice.

Authors:  K Nael; J C Dagher; M E Downs; M S Fine; E Brokaw; D Millward
Journal:  AJNR Am J Neuroradiol       Date:  2020-10-08       Impact factor: 3.825

2.  Motor Effects of Minimal Traumatic Brain Injury in Mice.

Authors:  I Namdar; R Feldman; S Glazer; I Meningher; N A Shlobin; V Rubovitch; L Bikovski; E Been; Chaim G Pick
Journal:  J Mol Neurosci       Date:  2019-12-09       Impact factor: 3.444

  2 in total

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