Oeur, R A; Karton, C; Post, A; Rousseau, P; Hoshizaki, T B; Marshall, S; Brien, S E; Smith, A; Cusimano, M D; Gilchrist, M D
In: Journal of Neurosurgery, vol. 123, no. 2, pp. 415–422, 2015.
Abstract | Links | BibTeX | Tags: accident, Accident reconstruction, accidental injury, Accidents, Adolescent, adult, Article, Biomechanical Phenomena, Biomechanics, brain, brain concussion, brain stem, brain tissue, Cerebellum, clinical article, comparative study, Concussion, controlled study, Female, finite element analysis, Finite element modelling, gray matter, Hematoma, human, Humans, Hybrid iii headform, injury severity, laboratory test, Male, Mechanical, mechanical stress, middle aged, pathology, Pathophysiology, Persistent postconcussive symptoms, PHYSIOLOGY, Post Hoc Analysis, Post-Concussion Syndrome, postconcussion syndrome, priority journal, shear stress, simulation, SPORTS medicine, STATISTICAL significance, Stress, stress strain relationship, Subdural, subdural hematoma, traumatic brain injury, white matter, Young Adult
@article{Oeur2015,
title = {A comparison of head dynamic response and brain tissue stress and strain using accident reconstructions for concussion, concussion with persistent postconcussive symptoms, and subdural hematoma},
author = {Oeur, R A and Karton, C and Post, A and Rousseau, P and Hoshizaki, T B and Marshall, S and Brien, S E and Smith, A and Cusimano, M D and Gilchrist, M D},
doi = {10.3171/2014.10.JNS14440},
year = {2015},
date = {2015-01-01},
journal = {Journal of Neurosurgery},
volume = {123},
number = {2},
pages = {415--422},
abstract = {Object Concussions typically resolve within several days, but in a few cases the symptoms last for a month or longer and are termed persistent postconcussive symptoms (PPCS). These persisting symptoms may also be associated with more serious brain trauma similar to subdural hematoma (SDH). The objective of this study was to investigate the head dynamic and brain tissue responses of injury reconstructions resulting in concussion, PPCS, and SDH. Methods Reconstruction cases were obtained from sports medicine clinics and hospitals. All subjects received a direct blow to the head resulting in symptoms. Those symptoms that resolved in 9 days or fewer were defined as concussions (n = 3). Those with symptoms lasting longer than 18 months were defined as PPCS (n = 3), and 3 patients presented with SDHs (n = 3). A Hybrid III headform was used in reconstruction to obtain linear and rotational accelerations of the head. These dynamic response data were then input into the University College Dublin Brain Trauma Model to calculate maximum principal strain and von Mises stress. A Kruskal-Wallis test followed by Tukey post hoc tests were used to compare head dynamic and brain tissue responses between injury groups. Statistical significance was set at p \< 0.05. Results A significant difference was identified for peak resultant linear and rotational acceleration between injury groups. Post hoc analyses revealed the SDH group had higher linear and rotational acceleration responses (316 g and 23,181 rad/sec2, respectively) than the concussion group (149 g and 8111 rad/sec2, respectively; p \< 0.05). No significant differences were found between groups for either brain tissue measures of maximum principal strain or von Mises stress. Conclusions The reconstruction of accidents resulting in a concussion with transient symptoms (low severity) and SDHs revealed a positive relationship between an increase in head dynamic response and the risk for more serious brain injury. This type of relationship was not found for brain tissue stress and strain results derived by finite element analysis. Future research should be undertaken using a larger sample size to confirm these initial findings. Understanding the relationship between the head dynamic and brain tissue response and the nature of the injury provides important information for developing strategies for injury prevention. © AANS, 2015.},
keywords = {accident, Accident reconstruction, accidental injury, Accidents, Adolescent, adult, Article, Biomechanical Phenomena, Biomechanics, brain, brain concussion, brain stem, brain tissue, Cerebellum, clinical article, comparative study, Concussion, controlled study, Female, finite element analysis, Finite element modelling, gray matter, Hematoma, human, Humans, Hybrid iii headform, injury severity, laboratory test, Male, Mechanical, mechanical stress, middle aged, pathology, Pathophysiology, Persistent postconcussive symptoms, PHYSIOLOGY, Post Hoc Analysis, Post-Concussion Syndrome, postconcussion syndrome, priority journal, shear stress, simulation, SPORTS medicine, STATISTICAL significance, Stress, stress strain relationship, Subdural, subdural hematoma, traumatic brain injury, white matter, Young Adult},
pubstate = {published},
tppubtype = {article}
}
Andre, J B
Arterial spin labeling magnetic resonance perfusion for traumatic brain injury: Technical challenges and potentials Journal Article
In: Topics in Magnetic Resonance Imaging, vol. 24, no. 5, pp. 275–287, 2015.
Abstract | BibTeX | Tags: Arterial spin labeling, artery blood flow, artifact, brain, brain blood flow, brain circulation, Brain Injuries, Brain Injury, brain perfusion, Cerebrovascular Circulation, clinical classification, Concussion, echo planar imaging, gray matter, human, Humans, Magnetic Resonance Imaging, mild traumatic brain injury, neuroimaging, neuropsychological test, nuclear magnetic resonance imaging, pathology, positron emission tomography, priority journal, procedures, Review, single photon emission computer tomography, spin labeling, Spin Labels, Sport, Sports-related concussion, symptom, traumatic brain injury, white matter
@article{Andre2015,
title = {Arterial spin labeling magnetic resonance perfusion for traumatic brain injury: Technical challenges and potentials},
author = {Andre, J B},
year = {2015},
date = {2015-01-01},
journal = {Topics in Magnetic Resonance Imaging},
volume = {24},
number = {5},
pages = {275--287},
abstract = {Traumatic brain injury (TBI), including concussion, is a public health concern, as it affects over 1.7 million persons in the United States per year. Yet, the diagnosis of TBI, particularly mild TBI (mTBI), can be controversial, as neuroimaging findings can be sparse on conventional magnetic resonance and computed tomography examinations, and when present, often poorly correlate with clinical signs and symptoms. Furthermore, the discussion of TBI, concussion, and head impact exposure is immediately complicated by the many differing opinions of what constitutes each, their respective severities, and how the underlying biomechanics of the inciting head impact might alter the distribution, severity, and prognosis of the underlying brain injury. Advanced imaging methodologies hold promise in improving the sensitivity and detectability of associated imaging biomarkers that might better correlate with patient outcome and prognostication, allowing for improved triage and therapeutic guidance in the setting of TBI, particularly in mTBI. This work will examine the defining symptom complex associated with mTBI and explore changes in cerebral blood flow measured by arterial spin labeling, as a potential imaging biomarker for TBI, and briefly correlate these observations with findings identified by single photon emission computed tomography and positron emission tomography imaging.. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.},
keywords = {Arterial spin labeling, artery blood flow, artifact, brain, brain blood flow, brain circulation, Brain Injuries, Brain Injury, brain perfusion, Cerebrovascular Circulation, clinical classification, Concussion, echo planar imaging, gray matter, human, Humans, Magnetic Resonance Imaging, mild traumatic brain injury, neuroimaging, neuropsychological test, nuclear magnetic resonance imaging, pathology, positron emission tomography, priority journal, procedures, Review, single photon emission computer tomography, spin labeling, Spin Labels, Sport, Sports-related concussion, symptom, traumatic brain injury, white matter},
pubstate = {published},
tppubtype = {article}
}
Patton, D A; McIntosh, A S; Kleiven, S
In: Journal of Applied Biomechanics, vol. 31, no. 4, pp. 264–268, 2015.
Abstract | Links | BibTeX | Tags: Article, Biomechanics, brain, Brain Injury, brain region, clinical article, Concussion, corpus callosum, Damage detection, evaluation study, finite element analysis, Finite element head models, Finite element method, Finite element simulations, football, gray matter, Head Injuries, head injury, human, Intra-cranial pressure, intracranial pressure, investigative procedures, Maximum principal strain, mesencephalon, Modeling, Models, Numerical reconstruction, Qualitative observations, Sport, sport injury, Sports, Strain and strain rates, Strain rate, Stress, thalamus, Tissue, tissue level
@article{Patton2015,
title = {The biomechanical determinants of concussion: Finite element simulations to investigate tissue-level predictors of injury during sporting impacts to the unprotected head},
author = {Patton, D A and McIntosh, A S and Kleiven, S},
doi = {10.1123/jab.2014-0223},
year = {2015},
date = {2015-01-01},
journal = {Journal of Applied Biomechanics},
volume = {31},
number = {4},
pages = {264--268},
abstract = {Biomechanical studies of concussions have progressed from qualitative observations of head impacts to physical and numerical reconstructions, direct impact measurements, and finite element analyses. Supplementary to a previous study, which investigated maximum principal strain, the current study used a detailed finite element head model to simulate unhelmeted concussion and no-injury head impacts and evaluate the effectiveness of various tissue-level brain injury predictors: strain rate, product of strain and strain rate, cumulative strain damage measure, von Mises stress, and intracranial pressure. Von Mises stress was found to be the most effective predictor of concussion. It was also found that the thalamus and corpus callosum were brain regions with strong associations with concussion. Tentative tolerance limits for tissue-level predictors were proposed in an attempt to broaden the understanding of unhelmeted concussions. For the thalamus, tolerance limits were proposed for a 50% likelihood of concussion: 2.24 kPa, 24.0 s-1, and 2.49 s-1 for von Mises stress, strain rate, and the product of strain and strain rate, respectively. For the corpus callosum, tolerance limits were proposed for a 50% likelihood of concussion: 3.51 kPa, 25.1 s-1, and 2.76 s-1 for von Mises stress, strain rate, and the product of strain and strain rate, respectively. © 2015 Human Kinetics, Inc.},
keywords = {Article, Biomechanics, brain, Brain Injury, brain region, clinical article, Concussion, corpus callosum, Damage detection, evaluation study, finite element analysis, Finite element head models, Finite element method, Finite element simulations, football, gray matter, Head Injuries, head injury, human, Intra-cranial pressure, intracranial pressure, investigative procedures, Maximum principal strain, mesencephalon, Modeling, Models, Numerical reconstruction, Qualitative observations, Sport, sport injury, Sports, Strain and strain rates, Strain rate, Stress, thalamus, Tissue, tissue level},
pubstate = {published},
tppubtype = {article}
}
Bigler, Erin D; Deibert, Ellen
Lesion analysis in mild traumatic brain injury: Old school goes high tech Journal Article
In: Neurology, vol. 83, no. 14, pp. 1226–1227, 2014, ISBN: 0028-3878 1526-632X.
Abstract | Links | BibTeX | Tags: 2014, ALGORITHMS, brain, functional magnetic resonance imaging, gray matter, mild traumatic brain injury, MRI, traumatic brain injury, white matter
@article{Bigler2014,
title = {Lesion analysis in mild traumatic brain injury: Old school goes high tech},
author = {Bigler, Erin D and Deibert, Ellen},
doi = {10.1212/WNL.0000000000000848},
isbn = {0028-3878
1526-632X},
year = {2014},
date = {2014-01-01},
journal = {Neurology},
volume = {83},
number = {14},
pages = {1226--1227},
publisher = {Lippincott Williams \& Wilkins},
address = {US},
abstract = {Comments on an article by Y. W. Lui et al. (see record [rid]2014-43480-004[/rid]). Concussion has been a controversial topic in neurology since the beginning of the discipline. Evidence based diagnostic guidelines have been established,1 but the diagnosis and treatment are largely grounded in clinical decision-making. Clinical and research issues around sports concussion have even reached the levels of government policy with the White House. At the moderate to severe range of traumatic brain injury, neuroimaging provides well-established, objective pathoanatomical biomarkers of the injury. In contrast, conventional neuroimaging findings in mTBI are typically absent. The cognitive and neurobehavioral symptoms of mTBI overlap with any number of neurologic or psychiatric disorders, providing no definitive marker of injury or for tracking injury effects. Reliable biomarkers of mTBI could lead to better clinical decision-making and potential treatments. Deformation-based biomechanical studies of mTBI have shown the thalamus is situated in a particularly vulnerable zone. (PsycINFO Database Record (c) 2016 APA, all rights reserved)},
keywords = {2014, ALGORITHMS, brain, functional magnetic resonance imaging, gray matter, mild traumatic brain injury, MRI, traumatic brain injury, white matter},
pubstate = {published},
tppubtype = {article}
}
Oeur, R A; Karton, C; Post, A; Rousseau, P; Hoshizaki, T B; Marshall, S; Brien, S E; Smith, A; Cusimano, M D; Gilchrist, M D
In: Journal of Neurosurgery, vol. 123, no. 2, pp. 415–422, 2015.
@article{Oeur2015,
title = {A comparison of head dynamic response and brain tissue stress and strain using accident reconstructions for concussion, concussion with persistent postconcussive symptoms, and subdural hematoma},
author = {Oeur, R A and Karton, C and Post, A and Rousseau, P and Hoshizaki, T B and Marshall, S and Brien, S E and Smith, A and Cusimano, M D and Gilchrist, M D},
doi = {10.3171/2014.10.JNS14440},
year = {2015},
date = {2015-01-01},
journal = {Journal of Neurosurgery},
volume = {123},
number = {2},
pages = {415--422},
abstract = {Object Concussions typically resolve within several days, but in a few cases the symptoms last for a month or longer and are termed persistent postconcussive symptoms (PPCS). These persisting symptoms may also be associated with more serious brain trauma similar to subdural hematoma (SDH). The objective of this study was to investigate the head dynamic and brain tissue responses of injury reconstructions resulting in concussion, PPCS, and SDH. Methods Reconstruction cases were obtained from sports medicine clinics and hospitals. All subjects received a direct blow to the head resulting in symptoms. Those symptoms that resolved in 9 days or fewer were defined as concussions (n = 3). Those with symptoms lasting longer than 18 months were defined as PPCS (n = 3), and 3 patients presented with SDHs (n = 3). A Hybrid III headform was used in reconstruction to obtain linear and rotational accelerations of the head. These dynamic response data were then input into the University College Dublin Brain Trauma Model to calculate maximum principal strain and von Mises stress. A Kruskal-Wallis test followed by Tukey post hoc tests were used to compare head dynamic and brain tissue responses between injury groups. Statistical significance was set at p \< 0.05. Results A significant difference was identified for peak resultant linear and rotational acceleration between injury groups. Post hoc analyses revealed the SDH group had higher linear and rotational acceleration responses (316 g and 23,181 rad/sec2, respectively) than the concussion group (149 g and 8111 rad/sec2, respectively; p \< 0.05). No significant differences were found between groups for either brain tissue measures of maximum principal strain or von Mises stress. Conclusions The reconstruction of accidents resulting in a concussion with transient symptoms (low severity) and SDHs revealed a positive relationship between an increase in head dynamic response and the risk for more serious brain injury. This type of relationship was not found for brain tissue stress and strain results derived by finite element analysis. Future research should be undertaken using a larger sample size to confirm these initial findings. Understanding the relationship between the head dynamic and brain tissue response and the nature of the injury provides important information for developing strategies for injury prevention. © AANS, 2015.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Andre, J B
Arterial spin labeling magnetic resonance perfusion for traumatic brain injury: Technical challenges and potentials Journal Article
In: Topics in Magnetic Resonance Imaging, vol. 24, no. 5, pp. 275–287, 2015.
@article{Andre2015,
title = {Arterial spin labeling magnetic resonance perfusion for traumatic brain injury: Technical challenges and potentials},
author = {Andre, J B},
year = {2015},
date = {2015-01-01},
journal = {Topics in Magnetic Resonance Imaging},
volume = {24},
number = {5},
pages = {275--287},
abstract = {Traumatic brain injury (TBI), including concussion, is a public health concern, as it affects over 1.7 million persons in the United States per year. Yet, the diagnosis of TBI, particularly mild TBI (mTBI), can be controversial, as neuroimaging findings can be sparse on conventional magnetic resonance and computed tomography examinations, and when present, often poorly correlate with clinical signs and symptoms. Furthermore, the discussion of TBI, concussion, and head impact exposure is immediately complicated by the many differing opinions of what constitutes each, their respective severities, and how the underlying biomechanics of the inciting head impact might alter the distribution, severity, and prognosis of the underlying brain injury. Advanced imaging methodologies hold promise in improving the sensitivity and detectability of associated imaging biomarkers that might better correlate with patient outcome and prognostication, allowing for improved triage and therapeutic guidance in the setting of TBI, particularly in mTBI. This work will examine the defining symptom complex associated with mTBI and explore changes in cerebral blood flow measured by arterial spin labeling, as a potential imaging biomarker for TBI, and briefly correlate these observations with findings identified by single photon emission computed tomography and positron emission tomography imaging.. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Patton, D A; McIntosh, A S; Kleiven, S
In: Journal of Applied Biomechanics, vol. 31, no. 4, pp. 264–268, 2015.
@article{Patton2015,
title = {The biomechanical determinants of concussion: Finite element simulations to investigate tissue-level predictors of injury during sporting impacts to the unprotected head},
author = {Patton, D A and McIntosh, A S and Kleiven, S},
doi = {10.1123/jab.2014-0223},
year = {2015},
date = {2015-01-01},
journal = {Journal of Applied Biomechanics},
volume = {31},
number = {4},
pages = {264--268},
abstract = {Biomechanical studies of concussions have progressed from qualitative observations of head impacts to physical and numerical reconstructions, direct impact measurements, and finite element analyses. Supplementary to a previous study, which investigated maximum principal strain, the current study used a detailed finite element head model to simulate unhelmeted concussion and no-injury head impacts and evaluate the effectiveness of various tissue-level brain injury predictors: strain rate, product of strain and strain rate, cumulative strain damage measure, von Mises stress, and intracranial pressure. Von Mises stress was found to be the most effective predictor of concussion. It was also found that the thalamus and corpus callosum were brain regions with strong associations with concussion. Tentative tolerance limits for tissue-level predictors were proposed in an attempt to broaden the understanding of unhelmeted concussions. For the thalamus, tolerance limits were proposed for a 50% likelihood of concussion: 2.24 kPa, 24.0 s-1, and 2.49 s-1 for von Mises stress, strain rate, and the product of strain and strain rate, respectively. For the corpus callosum, tolerance limits were proposed for a 50% likelihood of concussion: 3.51 kPa, 25.1 s-1, and 2.76 s-1 for von Mises stress, strain rate, and the product of strain and strain rate, respectively. © 2015 Human Kinetics, Inc.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bigler, Erin D; Deibert, Ellen
Lesion analysis in mild traumatic brain injury: Old school goes high tech Journal Article
In: Neurology, vol. 83, no. 14, pp. 1226–1227, 2014, ISBN: 0028-3878 1526-632X.
@article{Bigler2014,
title = {Lesion analysis in mild traumatic brain injury: Old school goes high tech},
author = {Bigler, Erin D and Deibert, Ellen},
doi = {10.1212/WNL.0000000000000848},
isbn = {0028-3878
1526-632X},
year = {2014},
date = {2014-01-01},
journal = {Neurology},
volume = {83},
number = {14},
pages = {1226--1227},
publisher = {Lippincott Williams \& Wilkins},
address = {US},
abstract = {Comments on an article by Y. W. Lui et al. (see record [rid]2014-43480-004[/rid]). Concussion has been a controversial topic in neurology since the beginning of the discipline. Evidence based diagnostic guidelines have been established,1 but the diagnosis and treatment are largely grounded in clinical decision-making. Clinical and research issues around sports concussion have even reached the levels of government policy with the White House. At the moderate to severe range of traumatic brain injury, neuroimaging provides well-established, objective pathoanatomical biomarkers of the injury. In contrast, conventional neuroimaging findings in mTBI are typically absent. The cognitive and neurobehavioral symptoms of mTBI overlap with any number of neurologic or psychiatric disorders, providing no definitive marker of injury or for tracking injury effects. Reliable biomarkers of mTBI could lead to better clinical decision-making and potential treatments. Deformation-based biomechanical studies of mTBI have shown the thalamus is situated in a particularly vulnerable zone. (PsycINFO Database Record (c) 2016 APA, all rights reserved)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Oeur, R A; Karton, C; Post, A; Rousseau, P; Hoshizaki, T B; Marshall, S; Brien, S E; Smith, A; Cusimano, M D; Gilchrist, M D
In: Journal of Neurosurgery, vol. 123, no. 2, pp. 415–422, 2015.
Abstract | Links | BibTeX | Tags: accident, Accident reconstruction, accidental injury, Accidents, Adolescent, adult, Article, Biomechanical Phenomena, Biomechanics, brain, brain concussion, brain stem, brain tissue, Cerebellum, clinical article, comparative study, Concussion, controlled study, Female, finite element analysis, Finite element modelling, gray matter, Hematoma, human, Humans, Hybrid iii headform, injury severity, laboratory test, Male, Mechanical, mechanical stress, middle aged, pathology, Pathophysiology, Persistent postconcussive symptoms, PHYSIOLOGY, Post Hoc Analysis, Post-Concussion Syndrome, postconcussion syndrome, priority journal, shear stress, simulation, SPORTS medicine, STATISTICAL significance, Stress, stress strain relationship, Subdural, subdural hematoma, traumatic brain injury, white matter, Young Adult
@article{Oeur2015,
title = {A comparison of head dynamic response and brain tissue stress and strain using accident reconstructions for concussion, concussion with persistent postconcussive symptoms, and subdural hematoma},
author = {Oeur, R A and Karton, C and Post, A and Rousseau, P and Hoshizaki, T B and Marshall, S and Brien, S E and Smith, A and Cusimano, M D and Gilchrist, M D},
doi = {10.3171/2014.10.JNS14440},
year = {2015},
date = {2015-01-01},
journal = {Journal of Neurosurgery},
volume = {123},
number = {2},
pages = {415--422},
abstract = {Object Concussions typically resolve within several days, but in a few cases the symptoms last for a month or longer and are termed persistent postconcussive symptoms (PPCS). These persisting symptoms may also be associated with more serious brain trauma similar to subdural hematoma (SDH). The objective of this study was to investigate the head dynamic and brain tissue responses of injury reconstructions resulting in concussion, PPCS, and SDH. Methods Reconstruction cases were obtained from sports medicine clinics and hospitals. All subjects received a direct blow to the head resulting in symptoms. Those symptoms that resolved in 9 days or fewer were defined as concussions (n = 3). Those with symptoms lasting longer than 18 months were defined as PPCS (n = 3), and 3 patients presented with SDHs (n = 3). A Hybrid III headform was used in reconstruction to obtain linear and rotational accelerations of the head. These dynamic response data were then input into the University College Dublin Brain Trauma Model to calculate maximum principal strain and von Mises stress. A Kruskal-Wallis test followed by Tukey post hoc tests were used to compare head dynamic and brain tissue responses between injury groups. Statistical significance was set at p \< 0.05. Results A significant difference was identified for peak resultant linear and rotational acceleration between injury groups. Post hoc analyses revealed the SDH group had higher linear and rotational acceleration responses (316 g and 23,181 rad/sec2, respectively) than the concussion group (149 g and 8111 rad/sec2, respectively; p \< 0.05). No significant differences were found between groups for either brain tissue measures of maximum principal strain or von Mises stress. Conclusions The reconstruction of accidents resulting in a concussion with transient symptoms (low severity) and SDHs revealed a positive relationship between an increase in head dynamic response and the risk for more serious brain injury. This type of relationship was not found for brain tissue stress and strain results derived by finite element analysis. Future research should be undertaken using a larger sample size to confirm these initial findings. Understanding the relationship between the head dynamic and brain tissue response and the nature of the injury provides important information for developing strategies for injury prevention. © AANS, 2015.},
keywords = {accident, Accident reconstruction, accidental injury, Accidents, Adolescent, adult, Article, Biomechanical Phenomena, Biomechanics, brain, brain concussion, brain stem, brain tissue, Cerebellum, clinical article, comparative study, Concussion, controlled study, Female, finite element analysis, Finite element modelling, gray matter, Hematoma, human, Humans, Hybrid iii headform, injury severity, laboratory test, Male, Mechanical, mechanical stress, middle aged, pathology, Pathophysiology, Persistent postconcussive symptoms, PHYSIOLOGY, Post Hoc Analysis, Post-Concussion Syndrome, postconcussion syndrome, priority journal, shear stress, simulation, SPORTS medicine, STATISTICAL significance, Stress, stress strain relationship, Subdural, subdural hematoma, traumatic brain injury, white matter, Young Adult},
pubstate = {published},
tppubtype = {article}
}
Andre, J B
Arterial spin labeling magnetic resonance perfusion for traumatic brain injury: Technical challenges and potentials Journal Article
In: Topics in Magnetic Resonance Imaging, vol. 24, no. 5, pp. 275–287, 2015.
Abstract | BibTeX | Tags: Arterial spin labeling, artery blood flow, artifact, brain, brain blood flow, brain circulation, Brain Injuries, Brain Injury, brain perfusion, Cerebrovascular Circulation, clinical classification, Concussion, echo planar imaging, gray matter, human, Humans, Magnetic Resonance Imaging, mild traumatic brain injury, neuroimaging, neuropsychological test, nuclear magnetic resonance imaging, pathology, positron emission tomography, priority journal, procedures, Review, single photon emission computer tomography, spin labeling, Spin Labels, Sport, Sports-related concussion, symptom, traumatic brain injury, white matter
@article{Andre2015,
title = {Arterial spin labeling magnetic resonance perfusion for traumatic brain injury: Technical challenges and potentials},
author = {Andre, J B},
year = {2015},
date = {2015-01-01},
journal = {Topics in Magnetic Resonance Imaging},
volume = {24},
number = {5},
pages = {275--287},
abstract = {Traumatic brain injury (TBI), including concussion, is a public health concern, as it affects over 1.7 million persons in the United States per year. Yet, the diagnosis of TBI, particularly mild TBI (mTBI), can be controversial, as neuroimaging findings can be sparse on conventional magnetic resonance and computed tomography examinations, and when present, often poorly correlate with clinical signs and symptoms. Furthermore, the discussion of TBI, concussion, and head impact exposure is immediately complicated by the many differing opinions of what constitutes each, their respective severities, and how the underlying biomechanics of the inciting head impact might alter the distribution, severity, and prognosis of the underlying brain injury. Advanced imaging methodologies hold promise in improving the sensitivity and detectability of associated imaging biomarkers that might better correlate with patient outcome and prognostication, allowing for improved triage and therapeutic guidance in the setting of TBI, particularly in mTBI. This work will examine the defining symptom complex associated with mTBI and explore changes in cerebral blood flow measured by arterial spin labeling, as a potential imaging biomarker for TBI, and briefly correlate these observations with findings identified by single photon emission computed tomography and positron emission tomography imaging.. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.},
keywords = {Arterial spin labeling, artery blood flow, artifact, brain, brain blood flow, brain circulation, Brain Injuries, Brain Injury, brain perfusion, Cerebrovascular Circulation, clinical classification, Concussion, echo planar imaging, gray matter, human, Humans, Magnetic Resonance Imaging, mild traumatic brain injury, neuroimaging, neuropsychological test, nuclear magnetic resonance imaging, pathology, positron emission tomography, priority journal, procedures, Review, single photon emission computer tomography, spin labeling, Spin Labels, Sport, Sports-related concussion, symptom, traumatic brain injury, white matter},
pubstate = {published},
tppubtype = {article}
}
Patton, D A; McIntosh, A S; Kleiven, S
In: Journal of Applied Biomechanics, vol. 31, no. 4, pp. 264–268, 2015.
Abstract | Links | BibTeX | Tags: Article, Biomechanics, brain, Brain Injury, brain region, clinical article, Concussion, corpus callosum, Damage detection, evaluation study, finite element analysis, Finite element head models, Finite element method, Finite element simulations, football, gray matter, Head Injuries, head injury, human, Intra-cranial pressure, intracranial pressure, investigative procedures, Maximum principal strain, mesencephalon, Modeling, Models, Numerical reconstruction, Qualitative observations, Sport, sport injury, Sports, Strain and strain rates, Strain rate, Stress, thalamus, Tissue, tissue level
@article{Patton2015,
title = {The biomechanical determinants of concussion: Finite element simulations to investigate tissue-level predictors of injury during sporting impacts to the unprotected head},
author = {Patton, D A and McIntosh, A S and Kleiven, S},
doi = {10.1123/jab.2014-0223},
year = {2015},
date = {2015-01-01},
journal = {Journal of Applied Biomechanics},
volume = {31},
number = {4},
pages = {264--268},
abstract = {Biomechanical studies of concussions have progressed from qualitative observations of head impacts to physical and numerical reconstructions, direct impact measurements, and finite element analyses. Supplementary to a previous study, which investigated maximum principal strain, the current study used a detailed finite element head model to simulate unhelmeted concussion and no-injury head impacts and evaluate the effectiveness of various tissue-level brain injury predictors: strain rate, product of strain and strain rate, cumulative strain damage measure, von Mises stress, and intracranial pressure. Von Mises stress was found to be the most effective predictor of concussion. It was also found that the thalamus and corpus callosum were brain regions with strong associations with concussion. Tentative tolerance limits for tissue-level predictors were proposed in an attempt to broaden the understanding of unhelmeted concussions. For the thalamus, tolerance limits were proposed for a 50% likelihood of concussion: 2.24 kPa, 24.0 s-1, and 2.49 s-1 for von Mises stress, strain rate, and the product of strain and strain rate, respectively. For the corpus callosum, tolerance limits were proposed for a 50% likelihood of concussion: 3.51 kPa, 25.1 s-1, and 2.76 s-1 for von Mises stress, strain rate, and the product of strain and strain rate, respectively. © 2015 Human Kinetics, Inc.},
keywords = {Article, Biomechanics, brain, Brain Injury, brain region, clinical article, Concussion, corpus callosum, Damage detection, evaluation study, finite element analysis, Finite element head models, Finite element method, Finite element simulations, football, gray matter, Head Injuries, head injury, human, Intra-cranial pressure, intracranial pressure, investigative procedures, Maximum principal strain, mesencephalon, Modeling, Models, Numerical reconstruction, Qualitative observations, Sport, sport injury, Sports, Strain and strain rates, Strain rate, Stress, thalamus, Tissue, tissue level},
pubstate = {published},
tppubtype = {article}
}
Bigler, Erin D; Deibert, Ellen
Lesion analysis in mild traumatic brain injury: Old school goes high tech Journal Article
In: Neurology, vol. 83, no. 14, pp. 1226–1227, 2014, ISBN: 0028-3878 1526-632X.
Abstract | Links | BibTeX | Tags: 2014, ALGORITHMS, brain, functional magnetic resonance imaging, gray matter, mild traumatic brain injury, MRI, traumatic brain injury, white matter
@article{Bigler2014,
title = {Lesion analysis in mild traumatic brain injury: Old school goes high tech},
author = {Bigler, Erin D and Deibert, Ellen},
doi = {10.1212/WNL.0000000000000848},
isbn = {0028-3878
1526-632X},
year = {2014},
date = {2014-01-01},
journal = {Neurology},
volume = {83},
number = {14},
pages = {1226--1227},
publisher = {Lippincott Williams \& Wilkins},
address = {US},
abstract = {Comments on an article by Y. W. Lui et al. (see record [rid]2014-43480-004[/rid]). Concussion has been a controversial topic in neurology since the beginning of the discipline. Evidence based diagnostic guidelines have been established,1 but the diagnosis and treatment are largely grounded in clinical decision-making. Clinical and research issues around sports concussion have even reached the levels of government policy with the White House. At the moderate to severe range of traumatic brain injury, neuroimaging provides well-established, objective pathoanatomical biomarkers of the injury. In contrast, conventional neuroimaging findings in mTBI are typically absent. The cognitive and neurobehavioral symptoms of mTBI overlap with any number of neurologic or psychiatric disorders, providing no definitive marker of injury or for tracking injury effects. Reliable biomarkers of mTBI could lead to better clinical decision-making and potential treatments. Deformation-based biomechanical studies of mTBI have shown the thalamus is situated in a particularly vulnerable zone. (PsycINFO Database Record (c) 2016 APA, all rights reserved)},
keywords = {2014, ALGORITHMS, brain, functional magnetic resonance imaging, gray matter, mild traumatic brain injury, MRI, traumatic brain injury, white matter},
pubstate = {published},
tppubtype = {article}
}