Virtual reality environments as settings for evaluation of cognitive function in brain injury rehabilitation: Reliability and validity

2002 ◽  
Author(s):  
Ling Zhang ◽  
Beatriz C. Abreu ◽  
Brent Masel ◽  
Gary S. Seal ◽  
Charles H. Christiansen ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Brain Injury ◽  
Cognitive Function ◽  
Reliability And Validity ◽  
Injury Rehabilitation

Reliability and Validity of the PERPOS for Post-Acute Brain Injury Rehabilitation

2015 ◽  
Vol 96 (10) ◽  
pp. e31
Author(s):  
Carlos Daniel Marquez de la Plata ◽  
Lisa Morgan ◽  
Devin Qualls ◽  
Patrick Michael Plenger ◽  
Richard M. Capriotti ◽  
...  
Keyword(s):  
Brain Injury ◽  
Reliability And Validity ◽  
Acute Brain Injury ◽  
Injury Rehabilitation

Evaluating change in virtual reality adoption for brain injury rehabilitation following knowledge translation

2016 ◽  
Vol 12 (3) ◽  
pp. 217-226 ◽  
Author(s):  
Stephanie M. N. Glegg ◽  
Liisa Holsti ◽  
Sue Stanton ◽  
Steven Hanna ◽  
Diana Velikonja ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Brain Injury ◽  
Knowledge Translation ◽  
Injury Rehabilitation

Virtual Reality in the Assessment of Selected Cognitive Function After Brain Injury

2001 ◽  
Vol 80 (8) ◽  
pp. 597-604 ◽  
Author(s):  
Ling Zhang ◽  
Beatriz C. Abreu ◽  
Brent Masel ◽  
Randall S. Scheibel ◽  
Charles H. Christiansen ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Brain Injury ◽  
Cognitive Function

scholarly journals Virtual Reality for Pediatric Traumatic Brain Injury Rehabilitation: A Systematic Review

2018 ◽  
Vol 14 (1) ◽  
pp. 6-15 ◽  
Author(s):  
Jiabin Shen ◽  
Sarah Johnson ◽  
Cheng Chen ◽  
Henry Xiang
Keyword(s):  
Systematic Review ◽  
Traumatic Brain Injury ◽  
Virtual Reality ◽  
Brain Injury ◽  
Research Quality ◽  
Future Research ◽  
Pediatric Traumatic Brain Injury ◽  
Injury Rehabilitation ◽  
Positive Effects ◽  
Pediatric Tbi

Objective. Pediatric traumatic brain injury (TBI) is associated with physical and psychobehavioral impairment in children. Effective rehabilitation programs postinjury are critical for children with TBI. Virtual reality (VR) has been increasingly adopted for brain injury rehabilitation. However, scientific synthesis is lacking in evaluating its effectiveness in pediatric TBI rehabilitation. This article aimed to conduct a systematic review on the effectiveness of VR-based pediatric TBI rehabilitation. Methods. A systematic literature search was conducted in PubMed, PsycInfo, SCOPUS, CENTRAL, BioMed Central, CiNAHL, and Web of Science through November 2015. Personal libraries and relevant references supplemented the search. Two authors independently reviewed the abstracts and/or full text of 5824 articles. Data extraction and qualitative synthesis was conducted along with quantitative assessment of research quality by 2 authors. Results. A positive impact was found for VR-based interventions on children’s physical rehabilitation post-TBI. The quality of research evidence was moderate, which largely suffered from small samples, lack of immersive VR experience, and lack of focus on socioemotional outcomes post-TBI. Conclusions. The present review identified positive effects of VR interventions for pediatric TBI rehabilitation especially in physical outcomes. Future research should include larger samples and broader post-TBI outcomes in children using VR-based interventions.

Improving cognitive function after brain injury: The use of exercise and virtual reality

1999 ◽  
Vol 80 (6) ◽  
pp. 661-667 ◽  
Author(s):  
Madeleine A. Grealy ◽  
David A. Johnson ◽  
Simon K. Rushton
Keyword(s):  
Virtual Reality ◽  
Brain Injury ◽  
Cognitive Function

Factors Influencing Therapists' Adoption of Virtual Reality for Brain Injury Rehabilitation

2013 ◽  
Vol 16 (5) ◽  
pp. 385-401 ◽  
Author(s):  
Stephanie M. N. Glegg ◽  
Liisa Holsti ◽  
Diana Velikonja ◽  
Barbara Ansley ◽  
Christine Brum ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Brain Injury ◽  
Injury Rehabilitation ◽  
Factors Influencing

scholarly journals Rasch Analysis and Functional Measurement in Post-Hospital Brain Injury Rehabilitation

2017 ◽  
Vol 6 (6) ◽  
pp. 50
Author(s):  
Frank D. Lewis ◽  
Gordon J. Horn
Keyword(s):  
Brain Injury ◽  
Rasch Analysis ◽  
Item Difficulty ◽  
Reliability And Validity ◽  
Acquired Brain Injury ◽  
Statistical Technique ◽  
Rehabilitation Program ◽  
Injury Rehabilitation ◽  
Fit Statistics ◽  
Supported Living

Rasch analysis is a statistical technique used in determining statistical properties of functional measures for use in research and treatment. The technique was used in the current study to determine the reliability and validity of the Mayo Portland Adaptability Inventory-Version 4 (MPAI-4) for use with three different acquired brain injury samples. Subjects were 777 adults (each group comprised of 259 individuals) with acquired brain injury treated in one of three rehabilitation program types: Neurorehabilitation (NR), Neurobehavioral (NB), or Supported Living (SL). The MPAI-4 was administered to each participant upon admission to program. Rasch analysis was conducted to assess item fit, reliability, and separation statistics for MPAI-4 assessments conducted within each program. Item difficulty values were examined to determine if the MPAI-4 differentiated among groups based on deficit profiles. The results revealed that for each group, fit statistics fell with appropriate levels (0.5 – 1.5) for at least 24 of 29 items. Rasch person reliability statistics were 0.89 for NR and NB, and 0.90 for SL. Item reliability was 0.99 for each of the groups. Item difficulty values accurately differentiated the three groups based on their specific deficit profiles expected. Specifically, NR participants’ greatest deficits demonstrated by the MPAI-4 were within cognitive and physical functions. For the NB participants, the greater deficits demonstrated were within the behavioral and adjustment items. Supported Living participants had the most limitation within the instrumental activities of daily living items. As in prior research findings, the current Rasch analysis supported the use of the MPAI-4 within this heterogeneous, acquired brain injury population. This unique statistical approach translates to treatment priorities that may assist clinicians with identifying treatment goals specific to unique treatment group characteristics (e.g., NR, NB, and SL).

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