Test-Retest Reliability of Traumatic Brain Injury Outcome Measures

2017 ◽  
Vol 32 (5) ◽  
pp. E1-E16 ◽  
Author(s):  
Jennifer A. Bogner ◽  
Gale G. Whiteneck ◽  
Jessica MacDonald ◽  
Shannon B. Juengst ◽  
Allen W. Brown ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Outcome Measures ◽  
Retest Reliability ◽  
Test Retest Reliability

scholarly journals Symptom-Dependent Changes in MEG-Derived Neuroelectric Brain Activity in Traumatic Brain Injury Patients with Chronic Symptoms

2021 ◽  
Vol 9 (2) ◽  
pp. 20
Author(s):  
Don Krieger ◽  
Paul Shepard ◽  
Ryan Soose ◽  
Ava M. Puccio ◽  
Sue Beers ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Brain Activity ◽  
Severity Index ◽  
Brief Symptom Inventory ◽  
Good Test ◽  
Retest Reliability ◽  
Test Retest Reliability

Neuroelectric measures derived from human magnetoencephalographic (MEG) recordings hold promise as aides to diagnosis and treatment monitoring and targeting for chronic sequelae of traumatic brain injury (TBI). This study tests novel MEG-derived regional brain measures of tonic neuroelectric activation for long-term test-retest reliability and sensitivity to symptoms. Resting state MEG recordings were obtained from a normative cohort, Cambridge Centre for Ageing and Neuroscience (CamCAN), baseline: n = 619; mean 16-month follow-up: n = 253) and a chronic symptomatic TBI cohort, Targeted Evaluation, Action and Monitoring of Traumatic Brain Injury (TEAM-TBI), baseline: n = 64; mean 6-month follow-up: n = 39). For the CamCAN cohort, MEG-derived neuroelectric measures showed good long-term test-retest reliability for most of the 103 automatically identified stereotypic regions. The TEAM-TBI cohort was screened for depression, somatization, and anxiety with the Brief Symptom Inventory and for insomnia with the Insomnia Severity Index. Linear classifiers constructed from the 103 regional measures from each TEAM-TBI cohort member distinguished those with and without each symptom, with p < 0.01 for each—i.e., the tonic regional neuroelectric measures of activation are sensitive to the presence/absence of these symptoms. The novel regional MEG-derived neuroelectric measures obtained and tested in this study demonstrate the necessary and sufficient properties to be clinically useful—i.e., good test-retest reliability, sensitivity to symptoms in each individual, and obtainable using automatic processing without human judgement or intervention.

The test–retest reliability of motor performance measures after traumatic brain injury

2006 ◽  
Vol 8 (2) ◽  
pp. 50-59 ◽  
Author(s):  
Matti V. Vartiainen ◽  
Marjo B. Rinne ◽  
Tommi M. Lehto ◽  
Matti E. Pasanen ◽  
Jaana M. Sarajuuri ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Performance Measures ◽  
Motor Performance ◽  
Retest Reliability ◽  
Test Retest Reliability

Oculomotor, vestibular, reaction time and cognitive eye-tracking mild traumatic brain injury assessment

Neurology ◽  
2020 ◽  
Vol 95 (20 Supplement 1) ◽  
pp. S2.1-S2
Author(s):  
Alex Kiderman ◽  
Michael Hoffer ◽  
Mikhaylo Szczupak ◽  
Hillary Snapp ◽  
Sara Murphy ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Reaction Time ◽  
Eye Tracking ◽  
Regression Model ◽  
Mild Traumatic Brain Injury ◽  
Data Set ◽  
Retest Reliability ◽  
Test Retest Reliability ◽  
Tracking Technology

ObjectiveCan oculomotor, vestibular, reaction time and cognitive eye-tracking tests (OVRT-C) assess mild traumatic brain injury?BackgroundOVRT-C tests using eye tracking technology have been employed in our previous studies for assessing mild traumatic brain injury (mTBI). Here we present a composite Concussion Assessment algorithm that incorporates these findings.Design/MethodsConcussion Assessment algorithm was based on a data analysis from 406 males and females 18–45 years old. The subjects included 106 patients diagnosed with mTBI and 300 healthy controls. Diagnosis of mTBI was made using accepted medical practice. The participants were tested with a battery of OVRT-C tests delivered on the I-Portal Neuro Otologic Test Center (Dx NOTC) device (Neurolign Technology). A logistic regression model was used to derive the algorithm using a random sample of 70% of the data-set and validated on the remaining 30% of the data-set. Device test-retest reliability and inter-rater variability were assessed in a separate study in healthy control volunteers, ages 19–43 (n = 30). Subjects were tested with OVRT-C tests using the Dx100 which is equivalent to the NOTC. Test-retest reliability was assessed using Intraclass Correlation Coefficient (ICC) and Cronbach's alpha; testers and devices influence were assessed using a random effect regression model.ResultsTest-retest reliability of OVRT-C tests using eye tracking technology was acceptable (ICC >0.6 for all variables). The Concussion assessment algorithm was based on six OVRT-C tests. In the validation data Concussion Assessment algorithm was able to separate concussed versus controls with a sensitivity of 78.6% and specificity of 72.3%.ConclusionsOVRT-C tests delivered on I-Portal devices are repeatable and reliable. The assessment can identify mTBI subjects within an acute time post-injury with high sensitivity and specificity. The results support the use of this eye tracking device as well as the assessment to aid in the diagnosis of mTBI for patients 18–45 year old.

Test–Retest Reliability of a Semi-Structured Interview to Aid in Pediatric Traumatic Brain Injury Diagnosis

2021 ◽  
pp. 1-13
Author(s):  
Danielle C. Hergert ◽  
Veronik Sicard ◽  
David D. Stephenson ◽  
Sharvani Pabbathi Reddy ◽  
Cidney R. Robertson-Benta ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Severity ◽  
Structured Interview ◽  
Self Report ◽  
Pediatric Traumatic Brain Injury ◽  
Post Injury ◽  
Retest Reliability ◽  
Test Retest Reliability ◽  
Medical Concepts

Abstract Objective: Retrospective self-report is typically used for diagnosing previous pediatric traumatic brain injury (TBI). A new semi-structured interview instrument (New Mexico Assessment of Pediatric TBI; NewMAP TBI) investigated test–retest reliability for TBI characteristics in both the TBI that qualified for study inclusion and for lifetime history of TBI. Method: One-hundred and eight-four mTBI (aged 8–18), 156 matched healthy controls (HC), and their parents completed the NewMAP TBI within 11 days (subacute; SA) and 4 months (early chronic; EC) of injury, with a subset returning at 1 year (late chronic; LC). Results: The test–retest reliability of common TBI characteristics [loss of consciousness (LOC), post-traumatic amnesia (PTA), retrograde amnesia, confusion/disorientation] and post-concussion symptoms (PCS) were examined across study visits. Aside from PTA, binary reporting (present/absent) for all TBI characteristics exhibited acceptable (≥0.60) test–retest reliability for both Qualifying and Remote TBIs across all three visits. In contrast, reliability for continuous data (exact duration) was generally unacceptable, with LOC and PCS meeting acceptable criteria at only half of the assessments. Transforming continuous self-report ratings into discrete categories based on injury severity resulted in acceptable reliability. Reliability was not strongly affected by the parent completing the NewMAP TBI. Conclusions: Categorical reporting of TBI characteristics in children and adolescents can aid clinicians in retrospectively obtaining reliable estimates of TBI severity up to a year post-injury. However, test–retest reliability is strongly impacted by the initial data distribution, selected statistical methods, and potentially by patient difficulty in distinguishing among conceptually similar medical concepts (i.e., PTA vs. confusion).

scholarly journals Test-Retest Reliability of the Traumatic Brain Injury Screening Instrument

2010 ◽  
Vol 175 (12) ◽  
pp. 947-949 ◽  
Author(s):  
Sarah A. Van Dyke ◽  
Bradley N. Axelrod ◽  
Christian Schutte
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Screening Instrument ◽  
Retest Reliability ◽  
Test Retest Reliability ◽  
Injury Screening
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