Estimated Brain Tissue Response Following Impacts Associated With and Without Diagnosed Concussion
Kinematic measurements of head impacts are sensitive to sports concussion, but not highly specific. One potential reason is these measures reflect input conditions only and may have varying degrees of correlation to regional brain tissue deformation. In this study, previously reported head impact da...
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| Veröffentlicht in: | Annals of biomedical engineering 2018-06, Vol.46 (6), p.819-830 |
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| creator | Beckwith, Jonathan G. Zhao, Wei Ji, Songbai Ajamil, Amaris G. Bolander, Richard P. Chu, Jeffrey J. McAllister, Thomas W. Crisco, Joseph J. Duma, Stefan M. Rowson, Steven Broglio, Steven P. Guskiewicz, Kevin M. Mihalik, Jason P. Anderson, Scott Schnebel, Brock Gunnar Brolinson, P. Collins, Michael W. Greenwald, Richard M. |
| description | Kinematic measurements of head impacts are sensitive to sports concussion, but not highly specific. One potential reason is these measures reflect input conditions only and may have varying degrees of correlation to regional brain tissue deformation. In this study, previously reported head impact data recorded in the field from high school and collegiate football players were analyzed using two finite element head models (FEHM). Forty-five impacts associated with immediately diagnosed concussion were simulated along with 532 control impacts without identified concussion obtained from the same players. For each simulation, intracranial response measures (max principal strain, strain rate, von Mises stress, and pressure) were obtained for the whole brain and within four regions of interest (ROI; cerebrum, cerebellum, brain stem, corpus callosum). All response measures were sensitive to diagnosed concussion; however, large inter-athlete variability was observed and sensitivity strength depended on measure, ROI, and FEHM. Interestingly, peak linear acceleration was more sensitive to diagnosed concussion than all intracranial response measures except pressure. These findings suggest FEHM may provide unique and potentially important information on brain injury mechanisms, but estimations of concussion risk based on individual intracranial response measures evaluated in this study did not improve upon those derived from input kinematics alone. |
| doi_str_mv | 10.1007/s10439-018-1999-5 |
| format | Article |
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One potential reason is these measures reflect input conditions only and may have varying degrees of correlation to regional brain tissue deformation. In this study, previously reported head impact data recorded in the field from high school and collegiate football players were analyzed using two finite element head models (FEHM). Forty-five impacts associated with immediately diagnosed concussion were simulated along with 532 control impacts without identified concussion obtained from the same players. For each simulation, intracranial response measures (max principal strain, strain rate, von Mises stress, and pressure) were obtained for the whole brain and within four regions of interest (ROI; cerebrum, cerebellum, brain stem, corpus callosum). All response measures were sensitive to diagnosed concussion; however, large inter-athlete variability was observed and sensitivity strength depended on measure, ROI, and FEHM. Interestingly, peak linear acceleration was more sensitive to diagnosed concussion than all intracranial response measures except pressure. These findings suggest FEHM may provide unique and potentially important information on brain injury mechanisms, but estimations of concussion risk based on individual intracranial response measures evaluated in this study did not improve upon those derived from input kinematics alone.</description><identifier>ISSN: 0090-6964</identifier><identifier>EISSN: 1573-9686</identifier><identifier>DOI: 10.1007/s10439-018-1999-5</identifier><identifier>PMID: 29470745</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adolescent ; Adult ; Biochemistry ; Biological and Medical Physics ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Biophysics ; Brain - pathology ; Brain - physiopathology ; Brain Concussion - diagnosis ; Brain Concussion - parasitology ; Brain Concussion - pathology ; Brain injury ; Brain stem ; Cerebellum ; Cerebrum ; Classical Mechanics ; Computer simulation ; Concussion ; Corpus callosum ; Deformation mechanisms ; Finite element method ; Football ; Head injuries ; Humans ; Kinematics ; Male ; Mathematical models ; Pressure ; Strain ; Strain rate ; Stress, Mechanical</subject><ispartof>Annals of biomedical engineering, 2018-06, Vol.46 (6), p.819-830</ispartof><rights>Biomedical Engineering Society 2018</rights><rights>Annals of Biomedical Engineering is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-ee0d314c558684cbd229cf3462769c633532af8aec9f2f0c6fd2a7f1768398fb3</citedby><cites>FETCH-LOGICAL-c470t-ee0d314c558684cbd229cf3462769c633532af8aec9f2f0c6fd2a7f1768398fb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10439-018-1999-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10439-018-1999-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29470745$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Beckwith, Jonathan G.</creatorcontrib><creatorcontrib>Zhao, Wei</creatorcontrib><creatorcontrib>Ji, Songbai</creatorcontrib><creatorcontrib>Ajamil, Amaris G.</creatorcontrib><creatorcontrib>Bolander, Richard P.</creatorcontrib><creatorcontrib>Chu, Jeffrey J.</creatorcontrib><creatorcontrib>McAllister, Thomas W.</creatorcontrib><creatorcontrib>Crisco, Joseph J.</creatorcontrib><creatorcontrib>Duma, Stefan M.</creatorcontrib><creatorcontrib>Rowson, Steven</creatorcontrib><creatorcontrib>Broglio, Steven P.</creatorcontrib><creatorcontrib>Guskiewicz, Kevin M.</creatorcontrib><creatorcontrib>Mihalik, Jason P.</creatorcontrib><creatorcontrib>Anderson, Scott</creatorcontrib><creatorcontrib>Schnebel, Brock</creatorcontrib><creatorcontrib>Gunnar Brolinson, P.</creatorcontrib><creatorcontrib>Collins, Michael W.</creatorcontrib><creatorcontrib>Greenwald, Richard M.</creatorcontrib><title>Estimated Brain Tissue Response Following Impacts Associated With and Without Diagnosed Concussion</title><title>Annals of biomedical engineering</title><addtitle>Ann Biomed Eng</addtitle><addtitle>Ann Biomed Eng</addtitle><description>Kinematic measurements of head impacts are sensitive to sports concussion, but not highly specific. One potential reason is these measures reflect input conditions only and may have varying degrees of correlation to regional brain tissue deformation. In this study, previously reported head impact data recorded in the field from high school and collegiate football players were analyzed using two finite element head models (FEHM). Forty-five impacts associated with immediately diagnosed concussion were simulated along with 532 control impacts without identified concussion obtained from the same players. For each simulation, intracranial response measures (max principal strain, strain rate, von Mises stress, and pressure) were obtained for the whole brain and within four regions of interest (ROI; cerebrum, cerebellum, brain stem, corpus callosum). All response measures were sensitive to diagnosed concussion; however, large inter-athlete variability was observed and sensitivity strength depended on measure, ROI, and FEHM. Interestingly, peak linear acceleration was more sensitive to diagnosed concussion than all intracranial response measures except pressure. These findings suggest FEHM may provide unique and potentially important information on brain injury mechanisms, but estimations of concussion risk based on individual intracranial response measures evaluated in this study did not improve upon those derived from input kinematics alone.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Biochemistry</subject><subject>Biological and Medical Physics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Biophysics</subject><subject>Brain - pathology</subject><subject>Brain - physiopathology</subject><subject>Brain Concussion - diagnosis</subject><subject>Brain Concussion - parasitology</subject><subject>Brain Concussion - pathology</subject><subject>Brain injury</subject><subject>Brain stem</subject><subject>Cerebellum</subject><subject>Cerebrum</subject><subject>Classical Mechanics</subject><subject>Computer simulation</subject><subject>Concussion</subject><subject>Corpus callosum</subject><subject>Deformation mechanisms</subject><subject>Finite element method</subject><subject>Football</subject><subject>Head injuries</subject><subject>Humans</subject><subject>Kinematics</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Pressure</subject><subject>Strain</subject><subject>Strain rate</subject><subject>Stress, 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Beckwith, Jonathan G.</au><au>Zhao, Wei</au><au>Ji, Songbai</au><au>Ajamil, Amaris G.</au><au>Bolander, Richard P.</au><au>Chu, Jeffrey J.</au><au>McAllister, Thomas W.</au><au>Crisco, Joseph J.</au><au>Duma, Stefan M.</au><au>Rowson, Steven</au><au>Broglio, Steven P.</au><au>Guskiewicz, Kevin M.</au><au>Mihalik, Jason P.</au><au>Anderson, Scott</au><au>Schnebel, Brock</au><au>Gunnar Brolinson, P.</au><au>Collins, Michael W.</au><au>Greenwald, Richard M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimated Brain Tissue Response Following Impacts Associated With and Without Diagnosed Concussion</atitle><jtitle>Annals of biomedical engineering</jtitle><stitle>Ann Biomed Eng</stitle><addtitle>Ann Biomed Eng</addtitle><date>2018-06-01</date><risdate>2018</risdate><volume>46</volume><issue>6</issue><spage>819</spage><epage>830</epage><pages>819-830</pages><issn>0090-6964</issn><eissn>1573-9686</eissn><abstract>Kinematic measurements of head impacts are sensitive to sports concussion, but not highly specific. One potential reason is these measures reflect input conditions only and may have varying degrees of correlation to regional brain tissue deformation. In this study, previously reported head impact data recorded in the field from high school and collegiate football players were analyzed using two finite element head models (FEHM). Forty-five impacts associated with immediately diagnosed concussion were simulated along with 532 control impacts without identified concussion obtained from the same players. For each simulation, intracranial response measures (max principal strain, strain rate, von Mises stress, and pressure) were obtained for the whole brain and within four regions of interest (ROI; cerebrum, cerebellum, brain stem, corpus callosum). All response measures were sensitive to diagnosed concussion; however, large inter-athlete variability was observed and sensitivity strength depended on measure, ROI, and FEHM. Interestingly, peak linear acceleration was more sensitive to diagnosed concussion than all intracranial response measures except pressure. These findings suggest FEHM may provide unique and potentially important information on brain injury mechanisms, but estimations of concussion risk based on individual intracranial response measures evaluated in this study did not improve upon those derived from input kinematics alone.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>29470745</pmid><doi>10.1007/s10439-018-1999-5</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Biochemistry Biological and Medical Physics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Brain - pathology Brain - physiopathology Brain Concussion - diagnosis Brain Concussion - parasitology Brain Concussion - pathology Brain injury Brain stem Cerebellum Cerebrum Classical Mechanics Computer simulation Concussion Corpus callosum Deformation mechanisms Finite element method Football Head injuries Humans Kinematics Male Mathematical models Pressure Strain Strain rate Stress, Mechanical |
| title | Estimated Brain Tissue Response Following Impacts Associated With and Without Diagnosed Concussion |
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