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A Novel Neuropsychological Tool for Immersive Assessment of Concussion and Correlation with Subclinical Head Impacts

Mild traumatic brain injury (mTBI) remains a diagnostic challenge and therefore strategies for objective assessment of neurological function are key to limiting long-term sequelae. Current assessment methods are not optimal in austere environments such as athletic fields; therefore, we developed an...

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Autores principales: Espinoza, Tamara R., Hendershot, Kristopher A, Liu, Brian, Knezevic, Andrea, Jacobs, Breanne B., Gore, Russell K., Guskiewicz, Kevin M., Bazarian, Jeffery J., Phelps, Shean E., Wright, David W., LaPlaca, Michelle C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240822/
https://www.ncbi.nlm.nih.gov/pubmed/34223554
http://dx.doi.org/10.1089/neur.2020.0022
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author Espinoza, Tamara R.
Hendershot, Kristopher A
Liu, Brian
Knezevic, Andrea
Jacobs, Breanne B.
Gore, Russell K.
Guskiewicz, Kevin M.
Bazarian, Jeffery J.
Phelps, Shean E.
Wright, David W.
LaPlaca, Michelle C.
author_facet Espinoza, Tamara R.
Hendershot, Kristopher A
Liu, Brian
Knezevic, Andrea
Jacobs, Breanne B.
Gore, Russell K.
Guskiewicz, Kevin M.
Bazarian, Jeffery J.
Phelps, Shean E.
Wright, David W.
LaPlaca, Michelle C.
author_sort Espinoza, Tamara R.
collection PubMed
description Mild traumatic brain injury (mTBI) remains a diagnostic challenge and therefore strategies for objective assessment of neurological function are key to limiting long-term sequelae. Current assessment methods are not optimal in austere environments such as athletic fields; therefore, we developed an immersive tool, the Display Enhanced Testing for Cognitive Impairment and mTBI (DETECT) platform, for rapid objective neuropsychological (NP) testing. The objectives of this study were to assess the ability of DETECT to accurately identify neurocognitive deficits associated with concussion and evaluate the relationship between neurocognitive measures and subconcussive head impacts. DETECT was used over a single season of two high school and two college football teams. Study participants were instrumented with Riddell Head Impact Telemetry (HIT) sensors and a subset tested with DETECT immediately after confirmed impacts for different combinations of linear and rotational acceleration. A total of 123 athletes were enrolled and completed baseline testing. Twenty-one players were pulled from play for suspected concussion and tested with DETECT. DETECT was 86.7% sensitive (95% confidence interval [CI]: 59.5%, 98.3%) and 66.7% specific (95% CI: 22.3%, 95.7%) in correctly identifying athletes with concussions (15 of 21). Weak but significant correlations were found between complex choice response time (processing speed and divided attention) and both linear (Spearman rank correlation coefficient 0.262, p = 0.02) and rotational (Spearman coefficient 0.254, p = 0.03) acceleration on a subset of 76 players (113 DETECT tests) with no concussion symptoms. This study demonstrates that DETECT confers moderate to high sensitivity in identifying acute cognitive impairment and suggests that football impacts that do not result in concussion may negatively affect cognitive performance immediately following an impact. Specificity, however, was not optimal and points to the need for additional studies across multiple neurological domains. Given the need for more objective concussion screening in triage situations, DETECT may provide a solution for mTBI assessment.
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spelling pubmed-82408222021-07-02 A Novel Neuropsychological Tool for Immersive Assessment of Concussion and Correlation with Subclinical Head Impacts Espinoza, Tamara R. Hendershot, Kristopher A Liu, Brian Knezevic, Andrea Jacobs, Breanne B. Gore, Russell K. Guskiewicz, Kevin M. Bazarian, Jeffery J. Phelps, Shean E. Wright, David W. LaPlaca, Michelle C. Neurotrauma Rep Original Article Mild traumatic brain injury (mTBI) remains a diagnostic challenge and therefore strategies for objective assessment of neurological function are key to limiting long-term sequelae. Current assessment methods are not optimal in austere environments such as athletic fields; therefore, we developed an immersive tool, the Display Enhanced Testing for Cognitive Impairment and mTBI (DETECT) platform, for rapid objective neuropsychological (NP) testing. The objectives of this study were to assess the ability of DETECT to accurately identify neurocognitive deficits associated with concussion and evaluate the relationship between neurocognitive measures and subconcussive head impacts. DETECT was used over a single season of two high school and two college football teams. Study participants were instrumented with Riddell Head Impact Telemetry (HIT) sensors and a subset tested with DETECT immediately after confirmed impacts for different combinations of linear and rotational acceleration. A total of 123 athletes were enrolled and completed baseline testing. Twenty-one players were pulled from play for suspected concussion and tested with DETECT. DETECT was 86.7% sensitive (95% confidence interval [CI]: 59.5%, 98.3%) and 66.7% specific (95% CI: 22.3%, 95.7%) in correctly identifying athletes with concussions (15 of 21). Weak but significant correlations were found between complex choice response time (processing speed and divided attention) and both linear (Spearman rank correlation coefficient 0.262, p = 0.02) and rotational (Spearman coefficient 0.254, p = 0.03) acceleration on a subset of 76 players (113 DETECT tests) with no concussion symptoms. This study demonstrates that DETECT confers moderate to high sensitivity in identifying acute cognitive impairment and suggests that football impacts that do not result in concussion may negatively affect cognitive performance immediately following an impact. Specificity, however, was not optimal and points to the need for additional studies across multiple neurological domains. Given the need for more objective concussion screening in triage situations, DETECT may provide a solution for mTBI assessment. Mary Ann Liebert, Inc., publishers 2021-05-26 /pmc/articles/PMC8240822/ /pubmed/34223554 http://dx.doi.org/10.1089/neur.2020.0022 Text en © Tamara R. Espinoza et al., 2021; Published by Mary Ann Liebert, Inc. https://creativecommons.org/licenses/by/4.0/This Open Access article is distributed under the terms of the Creative Commons License [CC-BY] (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Original Article
Espinoza, Tamara R.
Hendershot, Kristopher A
Liu, Brian
Knezevic, Andrea
Jacobs, Breanne B.
Gore, Russell K.
Guskiewicz, Kevin M.
Bazarian, Jeffery J.
Phelps, Shean E.
Wright, David W.
LaPlaca, Michelle C.
A Novel Neuropsychological Tool for Immersive Assessment of Concussion and Correlation with Subclinical Head Impacts
title A Novel Neuropsychological Tool for Immersive Assessment of Concussion and Correlation with Subclinical Head Impacts
title_full A Novel Neuropsychological Tool for Immersive Assessment of Concussion and Correlation with Subclinical Head Impacts
title_fullStr A Novel Neuropsychological Tool for Immersive Assessment of Concussion and Correlation with Subclinical Head Impacts
title_full_unstemmed A Novel Neuropsychological Tool for Immersive Assessment of Concussion and Correlation with Subclinical Head Impacts
title_short A Novel Neuropsychological Tool for Immersive Assessment of Concussion and Correlation with Subclinical Head Impacts
title_sort novel neuropsychological tool for immersive assessment of concussion and correlation with subclinical head impacts
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240822/
https://www.ncbi.nlm.nih.gov/pubmed/34223554
http://dx.doi.org/10.1089/neur.2020.0022
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