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Kelly NA, Kelly RE, Berkeley RP. The Glasgow Coma Scale: A disconnect between medical documentation and traumatic brain injury litigation in the United States. Med Leg J 2023; 91:175-179. [PMID: 37063079 DOI: 10.1177/00258172231161975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Traumatic brain injuries are consistently difficult to objectively measure. This creates significant challenges for medical and legal practitioners who each apply the Glasgow Coma Scale-based traumatic brain injury severity classifications of "mild", "moderate" and "severe". It can be difficult to medically define an often-subjective traumatic brain injury, where the law requires objective evidence of injuries. This descriptive review aims to elucidate the intended purpose of the Glasgow Coma Scale in traumatic brain injury assessment by doctors and attorneys. We highlight two different Glasgow Coma Scale uses, demonstrating a disconnect between the clinical traumatic brain injury adjectival classifications used in medicine and law. The Glasgow Coma Scale-based adjectival traumatic brain injury classifications create a diagnostic label which can affect a patient long after their initial medical assessment, representing a de facto diagnosis to the legal profession which may affect a patient's potential legal financial recovery.
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Affiliation(s)
| | | | - Ross P Berkeley
- Department of Emergency Medicine, Kirk Kerkorian School of Medicine at UNLV, USA
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2
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Ly MT, Merritt VC, Ozturk ED, Clark AL, Hanson KL, Delano-Wood LM, Sorg SF. Subjective memory complaints are associated with decreased cortical thickness in Veterans with histories of mild traumatic brain injury. Clin Neuropsychol 2023; 37:1745-1765. [PMID: 36883430 DOI: 10.1080/13854046.2023.2184720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 02/21/2023] [Indexed: 03/09/2023]
Abstract
Objective: Memory problems are frequently endorsed in Veterans following mild traumatic brain injury (mTBI), but subjective complaints are poorly associated with objective memory performance. Few studies have examined associations between subjective memory complaints and brain morphometry. We investigated whether self-reported memory problems were associated with objective memory performance and cortical thickness in Veterans with a history of mTBI. Methods: 40 Veterans with a history of remote mTBI and 29 Veterans with no history of TBI completed the Prospective-Retrospective Memory Questionnaire (PRMQ), PTSD Checklist (PCL), California Verbal Learning Test-2nd edition (CVLT-II), and 3 T T1 structural magnetic resonance imaging. Cortical thickness was estimated in 14 a priori frontal and temporal regions. Multiple regressions adjusting for age and PCL scores examined associations between PRMQ, CVLT-II scores, and cortical thickness within each Veteran group. Results: Greater subjective memory complaints on the PRMQ were associated with lower cortical thickness in the right middle temporal gyrus (β = 0.64, q = .004), right inferior temporal gyrus (β = 0.56, q = .014), right rostral middle frontal gyrus (β = 0.45, q = .046), and right rostral anterior cingulate gyrus (β = 0.58, q = .014) in the mTBI group but not the control group (q's > .05). These associations remained significant after adjusting for CVLT-II learning. CVLT-II performance was not associated with PRMQ score or cortical thickness in either group. Conclusions: Subjective memory complaints were associated with lower cortical thickness in right frontal and temporal regions, but not with objective memory performance, in Veterans with histories of mTBI. Subjective complaints post-mTBI may indicate underlying brain morphometry independently of objective cognitive testing.
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Affiliation(s)
- Monica T Ly
- Veterans Affairs San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego Health, CA, USA
| | - Victoria C Merritt
- Veterans Affairs San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego Health, CA, USA
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA
| | - Erin D Ozturk
- Veterans Affairs San Diego Healthcare System (VASDHS), San Diego, CA, USA
- San Diego Joint Doctoral Program, San Diego State University/University of California San Diego, San Diego, CA, USA
| | - Alexandra L Clark
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Karen L Hanson
- Veterans Affairs San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego Health, CA, USA
| | - Lisa M Delano-Wood
- Veterans Affairs San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego Health, CA, USA
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA
| | - Scott F Sorg
- Home Base, A Red Sox Foundation and Massachusetts General Hospital Program, Boston, MA, USA
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3
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Volumetric MRI Findings in Mild Traumatic Brain Injury (mTBI) and Neuropsychological Outcome. Neuropsychol Rev 2023; 33:5-41. [PMID: 33656702 DOI: 10.1007/s11065-020-09474-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Accepted: 12/20/2020] [Indexed: 10/22/2022]
Abstract
Region of interest (ROI) volumetric assessment has become a standard technique in quantitative neuroimaging. ROI volume is thought to represent a coarse proxy for making inferences about the structural integrity of a brain region when compared to normative values representative of a healthy sample, adjusted for age and various demographic factors. This review focuses on structural volumetric analyses that have been performed in the study of neuropathological effects from mild traumatic brain injury (mTBI) in relation to neuropsychological outcome. From a ROI perspective, the probable candidate structures that are most likely affected in mTBI represent the target regions covered in this review. These include the corpus callosum, cingulate, thalamus, pituitary-hypothalamic area, basal ganglia, amygdala, and hippocampus and associated structures including the fornix and mammillary bodies, as well as whole brain and cerebral cortex along with the cerebellum. Ventricular volumetrics are also reviewed as an indirect assessment of parenchymal change in response to injury. This review demonstrates the potential role and limitations of examining structural changes in the ROIs mentioned above in relation to neuropsychological outcome. There is also discussion and review of the role that post-traumatic stress disorder (PTSD) may play in structural outcome in mTBI. As emphasized in the conclusions, structural volumetric findings in mTBI are likely just a single facet of what should be a multimodality approach to image analysis in mTBI, with an emphasis on how the injury damages or disrupts neural network integrity. The review provides an historical context to quantitative neuroimaging in neuropsychology along with commentary about future directions for volumetric neuroimaging research in mTBI.
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4
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Khobo IL, Jankiewicz M, Holmes MJ, Little F, Cotton MF, Laughton B, van der Kouwe AJW, Moreau A, Nwosu E, Meintjes EM, Robertson FC. Multimodal magnetic resonance neuroimaging measures characteristic of early cART-treated pediatric HIV: A feature selection approach. Hum Brain Mapp 2022; 43:4128-4144. [PMID: 35575438 PMCID: PMC9374890 DOI: 10.1002/hbm.25907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 04/03/2022] [Accepted: 04/26/2022] [Indexed: 11/09/2022] Open
Abstract
Children with perinatally acquired HIV (CPHIV) have poor cognitive outcomes despite early combination antiretroviral therapy (cART). While CPHIV-related brain alterations can be investigated separately using proton magnetic resonance spectroscopy (1 H-MRS), structural magnetic resonance imaging (sMRI), diffusion tensor imaging (DTI), and functional MRI (fMRI), a set of multimodal MRI measures characteristic of children on cART has not been previously identified. We used the embedded feature selection of a logistic elastic-net (EN) regularization to select neuroimaging measures that distinguish CPHIV from controls and measured their classification performance via the area under the receiver operating characteristic curve (AUC) using repeated cross validation. We also wished to establish whether combining MRI modalities improved the models. In single modality analysis, sMRI volumes performed best followed by DTI, whereas individual EN models on spectroscopic, gyrification, and cortical thickness measures showed no class discrimination capability. Adding DTI and 1 H-MRS in basal measures to sMRI volumes produced the highest classification performancevalidation accuracy = 85 % AUC = 0.80 . The best multimodal MRI set consisted of 22 DTI and sMRI volume features, which included reduced volumes of the bilateral globus pallidus and amygdala, as well as increased mean diffusivity (MD) and radial diffusivity (RD) in the right corticospinal tract in cART-treated CPHIV. Consistent with previous studies of CPHIV, select subcortical volumes obtained from sMRI provide reasonable discrimination between CPHIV and controls. This may give insight into neuroimaging measures that are relevant in understanding the effects of HIV on the brain, thereby providing a starting point for evaluating their link with cognitive performance in CPHIV.
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Affiliation(s)
- Isaac L. Khobo
- Division of Biomedical Engineering, Department of Human Biology, Biomedical Engineering Research CenterUniversity of Cape TownCape TownSouth Africa
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
| | - Marcin Jankiewicz
- Division of Biomedical Engineering, Department of Human Biology, Biomedical Engineering Research CenterUniversity of Cape TownCape TownSouth Africa
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Cape Universities Body Imaging CenterUniversity of Cape TownCape TownSouth Africa
| | - Martha J. Holmes
- Division of Biomedical Engineering, Department of Human Biology, Biomedical Engineering Research CenterUniversity of Cape TownCape TownSouth Africa
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
| | - Francesca Little
- Department of Statistical SciencesUniversity of Cape TownCape TownSouth Africa
| | - Mark F. Cotton
- Department of Pediatrics & Child Health, Family Center for Research with Ubuntu, Tygerberg HospitalStellenbosch UniversityCape TownSouth Africa
| | - Barbara Laughton
- Department of Pediatrics & Child Health, Family Center for Research with Ubuntu, Tygerberg HospitalStellenbosch UniversityCape TownSouth Africa
| | - Andre J. W. van der Kouwe
- Division of Biomedical Engineering, Department of Human Biology, Biomedical Engineering Research CenterUniversity of Cape TownCape TownSouth Africa
- A.A. Martinos Centre for Biomedical ImagingMassachusetts General HospitalBostonMassachusettsUSA
- Department of RadiologyHarvard Medical SchoolBostonMassachusettsUSA
| | | | - Emmanuel Nwosu
- Division of Biomedical Engineering, Department of Human Biology, Biomedical Engineering Research CenterUniversity of Cape TownCape TownSouth Africa
| | - Ernesta M. Meintjes
- Division of Biomedical Engineering, Department of Human Biology, Biomedical Engineering Research CenterUniversity of Cape TownCape TownSouth Africa
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Cape Universities Body Imaging CenterUniversity of Cape TownCape TownSouth Africa
| | - Frances C. Robertson
- Division of Biomedical Engineering, Department of Human Biology, Biomedical Engineering Research CenterUniversity of Cape TownCape TownSouth Africa
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Cape Universities Body Imaging CenterUniversity of Cape TownCape TownSouth Africa
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5
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Kashyap P, Shenk TE, Svaldi DO, Lycke RJ, Lee TA, Tamer GG, Nauman EA, Talavage TM. Normalized Brain Tissue–Level Evaluation of Volumetric Changes of Youth Athletes Participating in Collision Sports. Neurotrauma Rep 2022; 3:57-69. [PMID: 35112108 PMCID: PMC8804236 DOI: 10.1089/neur.2021.0060] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Observations of short-term changes in the neural health of youth athletes participating in collision sports (e.g., football and soccer) have highlighted a need to explore potential structural alterations in brain tissue volumes for these persons. Studies have shown biochemical, vascular, functional connectivity, and white matter diffusivity changes in the brain physiology of these athletes that are strongly correlated with repetitive head acceleration exposure. Here, research is presented that highlights regional anatomical volumetric measures that change longitudinally with accrued subconcussive trauma. A novel pipeline is introduced that provides simplified data analysis on standard-space template to quantify group-level longitudinal volumetric changes within these populations. For both sports, results highlight incremental relative regional volumetric changes in the subcortical cerebrospinal fluid that are strongly correlated with head exposure events greater than a 50-G threshold at the short-term post-season assessment. Moreover, longitudinal regional gray matter volumes are observed to decrease with time, only returning to baseline/pre-participation levels after sufficient (5–6 months) rest from collision-based exposure. These temporal structural volumetric alterations are significantly different from normal aging observed in sex- and age-matched controls participating in non-collision sports. Future work involves modeling repetitive head exposure thresholds with multi-modal image analysis and understanding the underlying physiological reason. A possible pathophysiological pathway is presented, highlighting the probable metabolic regulatory mechanisms. Continual participation in collision-based activities may represent a risk wherein recovery cannot occur. Even when present, the degree of the eventual recovery remains to be explored, but has strong implications for the well-being of collision-sport participants.
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Affiliation(s)
- Pratik Kashyap
- Department of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Trey E. Shenk
- Department of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Diana O. Svaldi
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Roy J. Lycke
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Taylor A. Lee
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Gregory G. Tamer
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Eric A. Nauman
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Thomas M. Talavage
- Department of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio, USA
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6
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Asken BM, Rabinovici GD. Identifying degenerative effects of repetitive head trauma with neuroimaging: a clinically-oriented review. Acta Neuropathol Commun 2021; 9:96. [PMID: 34022959 PMCID: PMC8141132 DOI: 10.1186/s40478-021-01197-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 05/07/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND AND SCOPE OF REVIEW Varying severities and frequencies of head trauma may result in dynamic acute and chronic pathophysiologic responses in the brain. Heightened attention to long-term effects of head trauma, particularly repetitive head trauma, has sparked recent efforts to identify neuroimaging biomarkers of underlying disease processes. Imaging modalities like structural magnetic resonance imaging (MRI) and positron emission tomography (PET) are the most clinically applicable given their use in neurodegenerative disease diagnosis and differentiation. In recent years, researchers have targeted repetitive head trauma cohorts in hopes of identifying in vivo biomarkers for underlying biologic changes that might ultimately improve diagnosis of chronic traumatic encephalopathy (CTE) in living persons. These populations most often include collision sport athletes (e.g., American football, boxing) and military veterans with repetitive low-level blast exposure. We provide a clinically-oriented review of neuroimaging data from repetitive head trauma cohorts based on structural MRI, FDG-PET, Aβ-PET, and tau-PET. We supplement the review with two patient reports of neuropathology-confirmed, clinically impaired adults with prior repetitive head trauma who underwent structural MRI, FDG-PET, Aβ-PET, and tau-PET in addition to comprehensive clinical examinations before death. REVIEW CONCLUSIONS Group-level comparisons to controls without known head trauma have revealed inconsistent regional volume differences, with possible propensity for medial temporal, limbic, and subcortical (thalamus, corpus callosum) structures. Greater frequency and severity (i.e., length) of cavum septum pellucidum (CSP) is observed in repetitive head trauma cohorts compared to unexposed controls. It remains unclear whether CSP predicts a particular neurodegenerative process, but CSP presence should increase suspicion that clinical impairment is at least partly attributable to the individual's head trauma exposure (regardless of underlying disease). PET imaging similarly has not revealed a prototypical metabolic or molecular pattern associated with repetitive head trauma or predictive of CTE based on the most widely studied radiotracers. Given the range of clinical syndromes and neurodegenerative pathologies observed in a subset of adults with prior repetitive head trauma, structural MRI and PET imaging may still be useful for differential diagnosis (e.g., assessing suspected Alzheimer's disease).
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Affiliation(s)
- Breton M. Asken
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA 94143 USA
| | - Gil D. Rabinovici
- Departments of Neurology, Radiology & Biomedical Imaging, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA 94143 USA
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7
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Bigler ED, Abildskov TJ, Eggleston B, Taylor BA, Tate DF, Petrie JA, Newsome MR, Scheibel RS, Levin H, Walker WC, Goodrich‐Hunsaker N, Tustison NJ, Stone JR, Mayer AR, Duncan TD, York GE, Wilde EA. Structural neuroimaging in mild traumatic brain injury: A chronic effects of neurotrauma consortium study. Int J Methods Psychiatr Res 2019; 28:e1781. [PMID: 31608535 PMCID: PMC6877164 DOI: 10.1002/mpr.1781] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 03/18/2019] [Accepted: 04/01/2019] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVES The chronic effects of neurotrauma consortium (CENC) observational study is a multisite investigation designed to examine the long-term longitudinal effects of mild traumatic brain injury (mTBI). All participants in this initial CENC cohort had a history of deployment in Operation Enduring Freedom (Afghanistan), Operation Iraqi Freedom (Iraq), and/or their follow-on conflicts (Operation Freedom's Sentinel). All participants undergo extensive medical, neuropsychological, and neuroimaging assessments and either meet criteria for any lifetime mTBI or not. These assessments are integrated into six CENC core studies-Biorepository, Biostatistics, Data and Study Management, Neuroimaging, and Neuropathology. METHODS The current study outlines the quantitative neuroimaging methods managed by the Neuroimaging Core using FreeSurfer automated software for image quantification. RESULTS At this writing, 319 participants from the CENC observational study have completed all baseline assessments including the imaging protocol and tertiary data quality assurance procedures. CONCLUSIONS/DISCUSSION The preliminary findings of this initial cohort are reported to describe how the Neuroimaging Core manages neuroimaging quantification for CENC studies.
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Affiliation(s)
- Erin D. Bigler
- Psychology Department and Neuroscience CenterBrigham Young UniversityProvoUtah
- Department of NeurologyUniversity of UtahSalt Lake CityUtah
| | - Tracy J. Abildskov
- Psychology Department and Neuroscience CenterBrigham Young UniversityProvoUtah
- Department of NeurologyUniversity of UtahSalt Lake CityUtah
| | - Barry Eggleston
- Biostatistics and EpidemiologyRTI InternationalDurhamNorth Carolina
| | - Brian A. Taylor
- Biomedical EngineeringVirginia Commonwealth UniversityRichmondVirginia
| | - David F. Tate
- Missouri Institute of Mental HealthUniversity of Missouri‐St. LouisSt. LouisMissouri
| | - Jo Ann Petrie
- Psychology Department and Neuroscience CenterBrigham Young UniversityProvoUtah
- Department of NeurologyUniversity of UtahSalt Lake CityUtah
| | - Mary R. Newsome
- Michael DeBakey VA Medical Center and Baylor College of MedicineHoustonTexas
| | - Randall S. Scheibel
- Michael DeBakey VA Medical Center and Baylor College of MedicineHoustonTexas
| | - Harvey Levin
- Michael DeBakey VA Medical Center and Baylor College of MedicineHoustonTexas
| | - William C. Walker
- Biomedical EngineeringVirginia Commonwealth UniversityRichmondVirginia
| | - Naomi Goodrich‐Hunsaker
- Department of NeurologyUniversity of UtahSalt Lake CityUtah
- Department of Radiology and Medical ImagingUniversity of VirginiaCharlottesvilleVirginia
| | - Nicholas J. Tustison
- Department of Radiology and Medical ImagingUniversity of VirginiaCharlottesvilleVirginia
| | - James R. Stone
- Department of Radiology and Medical ImagingUniversity of VirginiaCharlottesvilleVirginia
| | - Andrew R. Mayer
- Neurology and Brain and Behavioral Health InstituteUniversity of New MexicoAlbuquerqueNew Mexico
| | - Timothy D. Duncan
- Medical Imaging and RadiologyVA Portland Health Care SystemPortlandOregon
| | - Gerry E. York
- Alaska Radiology AssociatesTBI Imaging and ResearchAnchorageAlaska
| | - Elisabeth A. Wilde
- Michael DeBakey VA Medical Center and Baylor College of MedicineHoustonTexas
- Department of NeurologyUniversity of UtahSalt Lake CityUtah
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