scholarly journals Examining the Subacute Effects of Mild Traumatic Brain Injury Using a Traditional and Computerized Neuropsychological Test Battery

2021 ◽  
Vol 38 (1) ◽  
pp. 74-85
Author(s):  
Rune Hatlestad Karlsen ◽  
Simen Berg Saksvik ◽  
Jonas Stenberg ◽  
Astri Johansen Lundervold ◽  
Alexander Olsen ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Neuropsychological Test ◽  
Test Battery ◽  
Neuropsychological Test Battery

Posttraumatic Stress Disorder Exacerbates Emotional Complaints but not Cognitive Impairments in Individuals Suffering from Postconcussional Disorder after Mild Traumatic Brain Injury

2015 ◽  
Vol 26 (1) ◽  
pp. 35-50 ◽  
Author(s):  
Sara C. Schroeder ◽  
Ronald M. Ruff ◽  
Lutz Jäncke
Keyword(s):  
Traumatic Brain Injury ◽  
Posttraumatic Stress Disorder ◽  
Brain Injury ◽  
Posttraumatic Stress ◽  
Mild Traumatic Brain Injury ◽  
Test Performance ◽  
Stress Disorder ◽  
Negative Impact ◽  
Neuropsychological Test ◽  
Composite Scale

The aim of this study was to examine the effect of posttraumatic stress disorder (PTSD) on (a) neuropsychological test performance and (b) self-reported emotional complaints within individuals suffering from postconcussional disorder (PCD) after a mild traumatic brain injury (MTBI). A two-group comparative research design was employed. Two MTBI samples with and without PTSD were assessed with a neuropsychological test battery and the Ruff Neurobehavioral Inventory (RNBI). On the neurocognitive test performances no significant between group differences were found, but the MTBI group with PTSD endorsed a significantly greater number of emotional complaints, especially in the RNBI subscales of anxiety and depression. The patients with PTSD also endorsed a significantly greater number of premorbid sequelae in the RNBI emotional composite scale as well as the RNBI premorbid subscales of pain, anxiety and abuse. In sum, PTSD has a negative impact on emotional but not cognitive functioning within individuals suffering from PCD after a mild TBI.

Neuropsychological test validity in Veterans presenting with subjective complaints of ‘very severe’ cognitive symptoms following mild traumatic brain injury

Brain Injury ◽  
2016 ◽  
Vol 31 (1) ◽  
pp. 32-38 ◽  
Author(s):  
Robert J. Spencer ◽  
Brigid Waldron-Perrine ◽  
Lauren L. Drag ◽  
Percival H. Pangilinan ◽  
Bradley N. Axelrod ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Neuropsychological Test ◽  
Test Validity ◽  
Cognitive Symptoms ◽  
Subjective Complaints

Basic Neuro-Optometric Diagnostic Tests for Mild Traumatic Brain Injury/Concussion: A Narrative Review, Perspective, Proposed Techniques and Protocols

2018 ◽  
pp. 157-169
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Diagnostic Test ◽  
Mild Traumatic Brain Injury ◽  
Diagnostic Tests ◽  
Test Battery ◽  
Narrative Review ◽  
Diagnostic Process ◽  
Clinical Tests ◽  
Scientific Rationale

Vision problems are common in individuals with mild traumatic brain injury (mTBI)/concussion. However, a global conceptualization of the diagnostic process remains incomplete and practitioner dependent. Thus, a comprehensive diagnostic test battery is proposed to assist in the management of these patients. This battery includes a range of basic clinical tests of a sensory and motor nature, with all having a clinical and scientific rationale. These tests have been used by the authors for many years, with good success, and furthermore they have been found to be clinically useful and insightful.

Three methods for examining trajectories in neuropsychological performance across the first 4 years after mild Traumatic Brain Injury

2019 ◽  
pp. 1-14
Author(s):  
Suzanne Barker-Collo ◽  
Alice Theadom ◽  
Kelly Jones ◽  
Nicola Starkey ◽  
Kris Fernando ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Growth Curve ◽  
Neuropsychological Test ◽  
Vital Signs ◽  
Population Based ◽  
Growth Curve Analysis ◽  
Post Injury ◽  
Growth Curve Modelling

Abstract Background: Emerging data suggest that recovery from mild traumatic brain injury (mTBI) takes longer than previously thought. This paper examines trajectories for cognitive recovery up to 48 months post-mTBI, presenting these visually using a Sankey diagram and growth curve analysis. Methods: This sample (n = 301) represents adults (≥16 years) from a population-based Brain Injury Outcomes in the New Zealand Community study over a 4-year follow-up on the CNS-Vital Signs neuropsychological test. Data were collected within 2 weeks of injury, and then at 1, 6, 12 and 48 months post-injury. Results: Significant improvement in cognitive functioning was seen up to 6 months post-injury. Using growth curve modelling, we found significant improvements in overall neurocognition from baseline to 6 months, on average participants improved one point per month (0.9; 95% CI 0.42–1.39) p < 0.001. No change in neurocognition was found within the time periods 6–12 months or 12–48 months. The Sankey highlighted that at each time point, a small proportion of participants remained unchanged or declined. Proportionally, few show any improvement after the first 6 months. Conclusion: Most individuals remained stable or improved over time to 6 months post-injury. Summary statistics are informative regarding overall trends, but can mask differing trajectories for recovery. The Sankey diagram indicates that not all improve, as well as the potential impact of individuals moving in and out of the study. The Sankey diagram also indicated the level of functioning of those most likely to withdraw, allowing targeting of retention strategies.

Neuropsychological Test Performance Prior To and Following Sports-Related Mild Traumatic Brain Injury

2001 ◽  
Vol 11 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Ruben J. Echemendia ◽  
Margot Putukian ◽  
R. Scott Mackin ◽  
Laura Julian ◽  
Naomi Shoss
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Test Performance ◽  
Neuropsychological Test

scholarly journals A-247 Overall Test Battery Means from ANAM4 TBI-MIL and D-KEFS: A Within-Subject Comparison of a Traumatic Brain Injury Cognition Composite Score

2020 ◽  
Vol 35 (6) ◽  
pp. 1042-1042
Author(s):  
Ivins B ◽  
Arrieux J ◽  
Cole W ◽  
Iverson G
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Neuropsychological Test ◽  
Test Battery ◽  
Percentile Rank ◽  
Automated Neuropsychological Assessment Metrics ◽  
Assessment Metrics ◽  
Composite Scores ◽  
Subject Performance ◽  
Potential Use

Abstract Objective Several cognition composite scores have been developed for potential use in traumatic brain injury clinical trials. This analysis examined the equivalence of overall test battery mean (OTBM) from two different test batteries administered consecutively to the same subjects. Methods Soldiers were administered the Automated Neuropsychological Assessment Metrics (version 4) TBI-MIL (ANAM4) computerized battery and D-KEFS as part of a larger study comparing within-subject performance from different neuropsychological test batteries. Data from 121 soldiers with complete and valid data on both ANAM4 and D-KEFS and no recent TBI were used in this analysis. OTBMs were calculated for ANAM4 and the seven D-KEFS achievement scores. The OTBMs from the 121 soldiers were ranked from lowest to highest and the percentile rankings from each battery were compared. For each soldier, the differences between the percentile ranks from each battery were also calculated. Results Only 53.8% of soldiers who scored below the 20th percentile on ANAM4 also scored below the 20th percentile on D-KEFS. Furthermore, only 47.8% of soldiers who scored at or above the 80th percentile on ANAM4 also scored in that range on D-KEFS. Some soldiers’ performance on each battery diverged by large amounts, for example from 59.5 to 82.6 percentage points. Correlation analysis revealed that the OTBMs and percentile rankings from both batteries were modestly correlated (OTBM r = 0.515, p &lt; 0.001, percentile rank r = 0.499, p &lt; 0.001). Conclusion These results suggest that comparing similar cognition composites from different neuropsychological test batteries from different studies in a meta-analytic manner may not be feasible due to psychometric difference between batteries.

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