Dual task demands and attention deficits in patients with mild traumatic brain injury

1993 ◽  
Vol 74 (6) ◽  
pp. 662
Author(s):  
Keith D. Cicerone
2018 ◽  
Vol 62 ◽  
pp. 157-166 ◽  
Author(s):  
Peter C. Fino ◽  
Lucy Parrington ◽  
Will Pitt ◽  
Douglas N. Martini ◽  
James C. Chesnutt ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Shanti M. Pinto ◽  
Mark A. Newman ◽  
Michael S. Runyon ◽  
Michael Gibbs ◽  
Lori M. Grafton ◽  
...  

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S178
Author(s):  
M. Mannell ◽  
J. Ling ◽  
C. Gasparovic ◽  
R. Yeo ◽  
R. Elgie ◽  
...  

2020 ◽  
Vol 185 (Supplement_1) ◽  
pp. 176-183 ◽  
Author(s):  
Morgan K McGrath ◽  
Susan M Linder ◽  
Mandy Miller Koop ◽  
Nicole Zimmerman ◽  
Maj Aaron J Ballantyne ◽  
...  

ABSTRACT Introduction Military personnel and civilian athletes are both at risk for mild traumatic brain injury. However, these groups are unique in their training and typical daily activities. A fundamental gap in the evaluation of military personnel following mild traumatic brain injury is the lack of military-specific normative reference data. This project aimed to determine if a separate normative sample should be used for military personnel on their performance of the Cleveland Clinic Concussion application and a recently developed dual-task module. Methods Data were collected from healthy military personnel (n = 305) and civilians (n = 281) 18 to 30 years of age. Participants completed the following assessments: simple and choice reaction time, Trail Making tests A&B, processing speed test, single-task postural stability, single-task cognitive assessment, and dual-task assessment. Results Civilian participants outperformed military service members on all cognitive tasks under single- and dual-task conditions (P ≤ 0.04). The military group outperformed civilians on all postural stability tasks under single- and dual-task conditions (P ≤ 0.01). Conclusion Differences in cognitive performance and postural stability measures may be influenced by demographic differences between military and civilian cohorts. Thus, military-specific normative datasets must be established to optimize clinical interpretation of Cleveland Clinic Concussion assessments.


Brain ◽  
2005 ◽  
Vol 129 (3) ◽  
pp. 747-753 ◽  
Author(s):  
Charlene I. Halterman ◽  
Jeanne Langan ◽  
Anthony Drew ◽  
Erika Rodriguez ◽  
Louis R. Osternig ◽  
...  

2019 ◽  
Vol 3 ◽  
pp. 205970021987829
Author(s):  
Marie-Ève Gagné ◽  
Bradford J McFadyen ◽  
Isabelle Cossette ◽  
Philippe Fait ◽  
Isabelle Gagnon ◽  
...  

Objectives To compare dual-task performance involving different cognitive-locomotor combinations between healthy controls and participants with sub-acute mild traumatic brain injury (mTBI) and to correlate dual-task performances to history of prior head injuries. Methods Eighteen participants having recently sustained mTBI and 15 controls performed nine dual-tasks combining locomotor (level-walking, narrow obstacle, deep obstacle) and cognitive (Stroop task, Verbal fluency, Counting backwards) tasks. Previous history of concussion was also investigated. Results Slower gait speeds were observed in the mTBI group compared to controls during both single and dual-tasks. Longer response times to cognitive tasks in the mTBI group further suggested the presence of residual impairments two months following injury. No combination of dual-task was more sensitive. Correlations were observed between history of mTBI and several measures of dual-task performance, underlying the need to further consider the effects of multiple injuries in relation to dual-task walking. Conclusion Dual-tasks using simultaneously locomotor and cognitive functions represent an ecological way for clinicians to detect residual, but subtle, alterations post-mTBI. History of previous mTBI needs to be considered as a personal characteristic which may influence dual-task walking performance.


2017 ◽  
Vol 34 (4) ◽  
pp. 816-823 ◽  
Author(s):  
Karolina J. Urban ◽  
Lily Riggs ◽  
Greg D. Wells ◽  
Michelle Keightley ◽  
Jen-Kai Chen ◽  
...  

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