Relevant bibliographies by topics / Mild traumatic brain injuries (mTBI)

Academic literature on the topic 'Mild traumatic brain injuries (mTBI)'

Author: Grafiati
Published: 10 December 2022
Last updated: 19 February 2023

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Journal articles on the topic "Mild traumatic brain injuries (mTBI)"

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Shukla, Dhaval, and B. Indira Devi. "Mild traumatic brain injuries in adults." Journal of Neurosciences in Rural Practice 01, no. 02 (July 2010): 082–88. http://dx.doi.org/10.4103/0976-3147.71723.

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ABSTRACTMild traumatic brain injury (mTBI) is the commonest form of TBI. Though the name implies, it may not be mild in certain cases. There is a lot of heterogeneity in nomenclature, classifi cation, evaluation and outcome of mTBI. We have reviewed the relevant articles on mTBI in adults, particularly its defi nition, evaluation and outcome, published in the last decade. The aspects of mTBI like pediatric age group, sports concussion, and postconcussion syndrome were not reviewed. There is general agreement that Glasgow coma score (GCS) of 13 should not be considered as mTBI as the risk of intracranial lesion is higher than in patients with GCS 14–15. All patients with GCS of <15 should be evaluated with a computed tomography (CT) scan. Patients with GCS 15 and risk factors or neurological symptoms should also be evaluated with CT scan. The outcome of mTBI depends on the combination of preinjury, injury and postinjury factors. Overall outcome of mTBI is good with mortality around 0.1% and disability around 10%.
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Torres, Victoria A., Jordan E. Strack, Sara Dolan, Marc I. Kruse, Michelle L. Pennington, Samantha J. Synett, Nathan Kimbrel, and Suzy B. Gulliver. "Identifying Frequency of Mild Traumatic Brain Injury in Firefighters." Workplace Health & Safety 68, no. 10 (June 11, 2020): 468–75. http://dx.doi.org/10.1177/2165079920922576.

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Background: Mild traumatic brain injury (mTBI) is a nationwide problem; yet, no firefighter mTBI data are available. Methods: In this cross-sectional study, we assessed retrospective head injuries using WHO guidelines. We captured mTBI frequency and examined firefighters’ symptoms (e.g., using Ohio State University Traumatic Brain Injury Identification method, Brief Traumatic Brain Injury Screen, Warrior Administered Retrospective Causality Assessment Tool). Findings: Of 1,112 firefighters contacted, 60 responses were included. Most participants were White (80%), male (90%), former athletes (75%). 62% met mTBI symptom criteria. 75% reported at least one lifetime head injury. Number of head injuries and depression symptoms were associated (r = .36, p < .05). Conclusion/application to practice: Overall, it appears most firefighters have sustained at least one lifetime mTBI. Those with multiple head injuries may be at increased risk of depression. Occupational health professionals should be aware of firefighters’ mTBI risk. Further research is warranted given findings.
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Zasler, Nathan D., and Michael F. Martelli. "Assessing Mild Traumatic Brain Injury." Guides Newsletter 3, no. 6 (December 1, 1998): 1–5. http://dx.doi.org/10.1001/amaguidesnewsletters.1998.novdec01.

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Abstract Mild traumatic brain injury (MTBI) accounts for approximately 80% of the estimated 373000 traumatic brain injuries that occur annually in the United States. MTBI typically occurs in males 15 to 24 years of age, and postconcussional sequelae may impede physical, emotional, social, marital, vocational, and avocational functioning. Usually the severity of the initial neurologic injury is defined according to the Glasgow Coma Score, the presence and duration of amnesia (retrograde and anterograde), and the alteration of loss of consciousness and its duration. MTBI is a traumatically induced physiological disruption of cerebral function manifested by at least one of the following: loss of consciousness no longer than 20 minutes; any loss of memory; any alteration in mental status at the time of the accident; physical symptoms that potentially are related to the brain; and development of posttraumatic cognitive deficits not accounted for by emotional factors. When a patient presents with multisystem trauma, impairments may involve several parts of the body, including the nervous system. Individual impairments of other systems should be calculated separately and their whole person values combined using the Combined Values Chart in AMA Guides to the Evaluation of Permanent Impairment. At present, no ideal system can rate impairment following MTBI, and physicians must thoroughly understand both the underlying disease process and the associated injuries.
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Atkins, Coleen M., Helen M. Bramlett, and W. Dalton Dietrich. "Is temperature an important variable in recovery after mild traumatic brain injury?" F1000Research 6 (November 20, 2017): 2031. http://dx.doi.org/10.12688/f1000research.12025.1.

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With nearly 42 million mild traumatic brain injuries (mTBIs) occurring worldwide every year, understanding the factors that may adversely influence recovery after mTBI is important for developing guidelines in mTBI management. Extensive clinical evidence exists documenting the detrimental effects of elevated temperature levels on recovery after moderate to severe TBI. However, whether elevated temperature alters recovery after mTBI or concussion is an active area of investigation. Individuals engaged in exercise and competitive sports regularly experience body and brain temperature increases to hyperthermic levels and these temperature increases are prolonged in hot and humid ambient environments. Thus, there is a strong potential for hyperthermia to alter recovery after mTBI in a subset of individuals at risk for mTBI. Preclinical mTBI studies have found that elevating brain temperature to 39°C before mTBI significantly increases neuronal death within the cortex and hippocampus and also worsens cognitive deficits. This review summarizes the pathology and behavioral problems of mTBI that are exacerbated by hyperthermia and discusses whether hyperthermia is a variable that should be considered after concussion and mTBI. Finally, underlying pathophysiological mechanisms responsible for hyperthermia-induced altered responses to mTBI and potential gender considerations are discussed.
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Escolas, Sandra M., Margie Luton, Hamid Ferdosi, Bianca D. Chavez, and Scot D. Engel. "Traumatic Brain Injuries: Unreported and Untreated in an Army Population." Military Medicine 185, Supplement_1 (January 2020): 154–60. http://dx.doi.org/10.1093/milmed/usz259.

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ABSTRACT Introduction In 2008, it was reported that 19.5% of service members previously deployed experienced a mild traumatic brain injury (mTBI). Fifty-seven percent of those did not seek medical care. It was suggested that concerns with seeking care involved confidentiality and career issues. Objective: This study addressed mTBI history, medical treatment history, and stigmas associated with mTBI/concussion. Materials and Methods An anonymous questionnaire was developed. Data collection occurred throughout March 2018 in conjunction with Brain Injury Awareness Month activities. Results All 5,174 volunteers were Army; 86% male; 87% were between 18 and 34 years old; 89% had &lt;14 years in the military; 35% had a combat deployment; and 10% reported having one or more mTBIs in their military careers. Of the Soldiers who reported a concussion, 52% sought medical care. Of those not seeking care, 64% reported they did not think the injury required care, followed by 18% fearing negative impact on their career. Twenty-eight percent who experienced an mTBI versus 11% who have not reported that there is a stigma associated with an mTBI. Conclusions Soldiers sometimes failed to report their suspected concussions and did not seek medical care. Educational efforts may increase reporting of and medical screening for potentially concussive events. Future research to determine the ramifications of unreported and untreated mTBIs/concussions is recommended.
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Zhang, Yanlu, Michael Chopp, Yuling Meng, Zheng Gang Zhang, Edith Doppler, Stefan Winter, Timothy Schallert, Asim Mahmood, and Ye Xiong. "Cerebrolysin improves cognitive performance in rats after mild traumatic brain injury." Journal of Neurosurgery 122, no. 4 (April 2015): 843–55. http://dx.doi.org/10.3171/2014.11.jns14271.

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OBJECT Long-term memory deficits occur after mild traumatic brain injuries (mTBIs), and effective treatment modalities are currently unavailable. Cerebrolysin, a peptide preparation mimicking the action of neurotrophic factors, has beneficial effects on neurodegenerative diseases and brain injuries. The present study investigated the long-term effects of Cerebrolysin treatment on cognitive function in rats after mTBI. METHODS Rats subjected to closed-head mTBI were treated with saline (n = 11) or Cerebrolysin (2.5 ml/kg, n = 11) starting 24 hours after injury and then daily for 28 days. Sham animals underwent surgery without injury (n = 8). To evaluate cognitive function, the modified Morris water maze (MWM) test and a social odor–based novelty recognition task were performed after mTBI. All rats were killed on Day 90 after mTBI, and brain sections were immunostained for histological analyses of amyloid precursor protein (APP), astrogliosis, neuroblasts, and neurogenesis. RESULTS Mild TBI caused long-lasting cognitive memory deficits in the MWM and social odor recognition tests up to 90 days after injury. Compared with saline treatment, Cerebrolysin treatment significantly improved both long-term spatial learning and memory in the MWM test and nonspatial recognition memory in the social odor recognition task up to 90 days after mTBI (p < 0.05). Cerebrolysin significantly increased the number of neuroblasts and promoted neurogenesis in the dentate gyrus, and it reduced APP levels and astrogliosis in the corpus callosum, cortex, dentate gyrus, CA1, and CA3 regions (p < 0.05). CONCLUSIONS These results indicate that Cerebrolysin treatment of mTBI improves long-term cognitive function, and this improvement may be partially related to decreased brain APP accumulation and astrogliosis as well as increased neuroblasts and neurogenesis.
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Diaz-Pacheco, Valeria, Javier Vargas-Medrano, Eric Tran, Meza Nicolas, Diamond Price, Richa Patel, Silvina Tonarelli, and Bharathi S. Gadad. "Prognosis and Diagnostic Biomarkers of Mild Traumatic Brain Injury: Current Status and Future Prospects." Journal of Alzheimer's Disease 86, no. 3 (April 5, 2022): 943–59. http://dx.doi.org/10.3233/jad-215158.

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Mild traumatic brain injury (mTBI) is the most prevalent type of TBI (80–90%). It is characterized by a loss consciousness for less than 30 minutes, post-traumatic amnesia for less than 24 hours, and Glasgow Coma Score of 13–15. Accurately diagnosing mTBIs can be a challenge because the majority of these injuries do not show noticeable or visible changes on neuroimaging studies. Appropriate determination of mTBI is tremendously important because it might lead in some cases to post-concussion syndrome, cognitive impairments including attention, memory, and speed of information processing problems. The scientists have studied different methods to improve mTBI diagnosis and enhanced approaches that would accurately determine the severity of the trauma. The present review focuses on discussing the role of biomarkers as potential key factors in diagnosing mTBI. The present review focuses on 1) protein based peripheral and CNS markers, 2) genetic biomarkers, 3) imaging biomarkers, 4) neurophysiological biomarkers, and 5) clinical trials in mTBI. Each section provides information and characteristics on different biomarkers for mTBI.
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Monte, Veronica Eileen De, and Gina Malke Geffen. "Effects of Mild Traumatic Brain Injury: Comparison of Direct and Indirect Injury Groups." Brain Impairment 6, no. 2 (September 1, 2005): 109–16. http://dx.doi.org/10.1375/brim.2005.6.2.109.

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AbstractThe aims were to investigate the general and specific effects of mild traumatic brain injury (mTBI), and if people with orthopaedic injuries who had sustained their injuries through exposure to acceleration/deceleration force could have sustained a brain injury. The Rapid Screen of Concussion and Digit Symbol Substitution Test were given to patients with mTBI (89 male, 23 female), and patients with orthopaedic injuries that did (27 male, 5 female) or did not (27 male, 15 female) involve deceleration forces within 24 hours of injury. A group of uninjured people (31 male, 12 female) were also tested. Compared to all other groups, patients with mTBI recalled fewer words and correctly answered fewer orientation questions. Patients with either mTBI or deceleration orthopaedic injuries showed slower speed of information processing than patients with nondeceleration orthopaedic injuries or participants without injury. Nondeceleration patients and uninjured participants did not differ. These results suggest that there are both general injury effects and specific mTBI effects on efficiency of cognitive functioning. The results also highlight the probability that patients with a diagnosis of orthopaedic injury who were exposed to acceleration/deceleration forces may have suffered a mild brain injury as well.
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Kania, Katarzyna, Kashif Ajaz Shaikh, Ian Kainoa White, and Laurie L. Ackerman. "Follow-up issues in children with mild traumatic brain injuries." Journal of Neurosurgery: Pediatrics 18, no. 2 (August 2016): 224–30. http://dx.doi.org/10.3171/2016.1.peds15511.

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OBJECTIVE Concerns about mild traumatic brain injury (mTBI) have increased in recent years, and neurosurgical consultation is often requested for patients with radiographic abnormalities or clinical findings suspicious for mTBI. However, to the authors' knowledge, no study has used the Acute Concussion Evaluation (ACE) tool to systematically evaluate the evolution of symptoms in patients with mTBI during neurosurgical follow-up. The goal in this study was to evaluate symptom progression in pediatric patients referred for neurosurgical consultation by using the ACE, as endorsed by the Centers for Disease Control and Prevention. METHODS The authors performed a retrospective review of records of consecutive pediatric patients who had presented to the emergency department, were diagnosed with possible mTBI, and were referred for neurosurgical consultation. Outpatient follow-up for these patients included serial assessment using the ACE. Data collected included the mechanisms of the patients' injuries, symptoms, follow-up duration, and premorbid conditions that might potentially contribute to protracted recovery. RESULTS Of 91 patients identified with mTBI, 58 met the inclusion criteria, and 33 of these had sufficient follow-up data to be included in the study. Mechanisms of injury included sports injury (15 patients), isolated falls (10), and motor vehicle collisions (8). Ages ranged from 5 to 17 years (mean age 11.6 years), and 29 of the 33 patients were male. Six patients had preinjury developmental and/or psychiatric diagnoses such as attention deficit hyperactivity disorder. Seventeen had negative findings on head CT scans. The first follow-up evaluation occurred at a mean of 30 days after injury. The mean number of symptoms reported on the ACE inventory at first follow-up were 3.2; 12 patients were symptom free. Patients with positive head CT findings required longer follow-up: these patients needed 14.59 weeks, versus 7.87 weeks of follow-up in patients with negative findings on head CT scans (p < 0.05). CONCLUSIONS The data suggest that patients with mTBI, particularly those with developmental and/or psychiatric comorbidities and concurrent cerebral or extracranial injury, often report symptoms for several weeks after their initial injury. Serial ACE assessment permits systematic identification of patients who are experiencing continued symptoms, leading to appropriate patient management and referral.
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Chowdhury, Suvan K., Subhankar Paul, Rajpratim Das, and Ilias Ali. "Evaluating mild traumatic brain injury in adults: an emergency physician’s dilemma." International Journal of Research in Medical Sciences 8, no. 11 (October 28, 2020): 4050. http://dx.doi.org/10.18203/2320-6012.ijrms20204902.

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Background: Mild traumatic brain injury (MTBI) is a common presentation in emergency departments across the globe. A controversy about the policy of evaluating them with CT scan and hospital admission or discharge and for these patients. This study is directed towards correlation of clinical profile with CT brain findings of the patients to predict the possibility of an intracranial lesion and need for early neurosurgical intervention.Methods: This prospective observational study was carried out in the Emergency Department (ED) of a tertiary care government medical college and hospital. All patients aged more than 12 years presenting to the ED with mild traumatic brain injury (MTBI) within 24 hours of injury in whom NCCT head (trauma protocol) was done during the Study. Descriptive and analytical statistics were applied. Multiple logistic regression analysis was used to identify factors related to different outcomes.Results: 178 patients with MTBI were enrolled in the study among which intracranial injuries were found by CT scan in 28 patients (15.7%). Odds of finding intracranial injuries were highest with the presence of post-traumatic vomiting, post traumatic amnesia (PTA), pre-existing alcohol use disorder, GCS≤14, focal neurological deficit and clinical signs of basal skull fracture. 2.8% patients required urgent neurosurgical intervention.Conclusions: Presence of post-traumatic vomiting, PTA, alcohol use disorder, GCS≤14, focal neurodeficit and signs of basal skull fracture in a MTBI patient should be considered as high-risk factors for significant intracranial injuries.
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Dissertations / Theses on the topic "Mild traumatic brain injuries (mTBI)"

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Walters-Stewart, Coren Tiffany. "Non-linear Centre of Pressure Analysis During Quiet Stance: Application to Mild Traumatic Brain Injury." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36039.

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A quiet stance framework and a control system perspective were used to explore healthy balance and balance after mild traumatic brain injury. Linear and non-linear centre of pressure analyses were applied. The foundation was laid by reviewing literature to understand how balance is achieved, how it is represented as a control system, what factors are known to affect balance, and the cornerstone—how to choose appropriate measures to quantify balance. To understand how mild traumatic brain injury affects the brain, a scoping review of the evolution of symptoms and effects was used to form a conceptual description. Findings described phases of functional effects that resulted from neurometabolic cascade; consequently, balance and dual-task functional effects were determined to stem from widespread not focal changes in the brain. Subsequent studies were tailored to address gaps in knowledge. Linear and non-linear centre of pressure measures were first investigated in healthy young adults to determine what supplemental information could be provided by non-linear measures describing local stability and scaling. It was found that linear and non-linear measures were complementary in assessing balance system input-output, control, and integration. Furthermore, normative non-linear data were established for single leg and tandem stance. Subsequently, these measures were investigated in young adults and adolescents with recent mild traumatic brain injury based on the hypothesis that altered mechanisms affecting balance would be reflected by changes in these measures. In young adults, increased complexity of short-term scaling indicated subtle changes to balance control after injury. In adolescents, linear and non-linear measures also demonstrated changes to output, control, and temporal relations of balance. Altered balance was also demonstrated while concurrently performing a Stroop task. On the whole, changes to multiple aspects of balance supported the concept of widespread effects resulting from mild traumatic brain injury. Balance control in quiet stance was further explored using three-dimensional state space reconstruction of centre of pressure. Visual representations demonstrated that dynamic structure within centre of pressure reflected control characteristics. These control characteristics were still present after mild traumatic brain injury.
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Mounce, Luke Timothy Allan. "Outcome after mild traumatic brain injury : the interplay of concussion and post-traumatic stress symptoms." Thesis, University of Exeter, 2011. http://hdl.handle.net/10036/3303.

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Background and aims: The provenance of post-concussion symptoms (PCS) and post-traumatic stress (PTSD) after mild traumatic brain injury (mTBI) is controversial. This thesis investigated factors influencing these two conditions separately, as well as the interplay between PCS and PTSD, in individuals with mTBI and a control sample without mTBI (orthopaedic injuries). Method: Consecutive adult attendees of an Emergency Department with mTBI or orthopaedic injury were prospectively recruited and completed the Rivermead Post-concussion Questionnaire (RPQ) and Trauma Screening Questionnaire (TSQ) for PTSD at two weeks (T1) and three months (T2) post-injury. The sample at T1 consisted of 34 with complicated mTBI, 76 with uncomplicated mTBI and 47 with orthopaedic injury, and 18 with complicated mTBI, 43 with uncomplicated mTBI and 33 orthopaedic controls at T2. Results: Although there were no differences in overall PCS symptomology between groups, a subset of PCS symptoms (headaches, dizziness and nausea) was found to be specific to mTBI at both time points. These symptoms are proposed to have a neurological basis, as opposed to a psychological basis. PTSD interacted with PCS, particularly in mTBI, such that PTSD was associated with greater “neurogenic” and “psychogenic” symptomology in this group, but only a moderate increase in psychogenic symptoms for controls. A model of the influence of PTSD on PCS is presented. PTSD was influenced by poor memory quality for the traumatic event and attribution of blame to others, but not by mTBI. Discussion and conclusions: Though mTBI may set the scene for at least neurogenic symptoms of PCS to occur, psychological mechanisms, particularly PTSD, have a significant role in the persistence of PCS. Our findings suggest the need for a clear story and sense of meaning for a traumatic event for good recovery from PTSD. Taken together, the results suggest that psychological interventions, particularly aimed at PTSD, may be most effective after mTBI.
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Nygren, de Boussard Catharina. "Studies on head trauma complications : with special reference to mild traumatic brain injury /." Stockholm, 2004. http://diss.kib.ki.se/2004/91-7349-836-X/.

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Scandale, Joanne Bellini James L. "The tenuous self Narratives of individuals who have experienced mild traumatic brain injuries /." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2004. http://wwwlib.umi.com/cr/syr/main.

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Manderino, Lisa M. "Cognitive Functioning Under Hypoxic Stress in Individuals with History of Mild Traumatic Brain Injury." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1591713552152285.

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Mekwa, Julia Nobelungu. "Attention process training : its effectiveness in remediating attention and memory deficits following mild traumatic brain injury /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/7206.

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Wong, Andrew. "Comparison of recovery time from uncomplicated sports-related mild traumatic brain injury (mTBI) in intercollegiate athletes: A baseline study." Thesis, The University of Arizona, 2013. http://hdl.handle.net/10150/281813.

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A Thesis submitted to The University of Arizona College of Medicine - Phoenix in partial fulfillment of the requirements for the Degree of Doctor of Medicine.
Sports-related mild traumatic brain injuries (mTBIs) have become an increasingly popular topic. Cognitive and physical rest are the mainstays of management, but effective evidence-based therapies do not exist. Very few studies report mean recovery times from mTBI and even less for intercollegiate athletes. The primary aim is to retrospectively compare the recovery time in athletes from a large Division I University that suffered a sports-related mTBI during 2010 - 2012 to published data for quality assessment and improvement. Since the institution's concussion management follows current guidelines, no significant difference was expected. Secondary aims included comparing recovery times between gender, sport, and league. As reported in current literature, no significant gender differences were expected. 53 athletes with sports-related mTBI (27 male and 26 female) showed a mean recovery time of 10.11 days (95 % confidence interval [CI] = 8.58 - 11.65 days), statistically different than the time reported in 1 study of 7 days, but not in another of 7 - 10 days. Mean recovery time in males and females was 9.74 days (95 % CI = 7.38 - 12.1 days) and 10.5 days (95 % CI = 8.4 - 12.6 days), respectively. Mean recovery time in National Collegiate Athletic Association (NCAA) and non-NCAA (club) athletes was 9.91 days (95 % CI = 8.27 - 11.55) and 11.25 days (95 % CI = 5.87 - 16.63), respectively. A nonparametric Wilcoxon rank-sum test showed no significant variation between genders and between NCAA and non-NCAA athletes. Subgroup statistics of 13 sports were inconclusive due to inadequate power. However, the subgroup of male football athletes showed a mean recovery time of 6.5 days (95 % CI = 4.86 - 8.14 days), which was not significantly different than published rates. Multiple confounding variables were not well controlled for including: sport, gender, concussion severity, multiple concussions, etc. However, this study did highlight areas for quality improvement in the institution's concussion management plan. Further investigation with increased power and confounding variable control is indicated for a more definitive mean time to recovery. This study is the first to detail the mean time to recovery from sports-related mTBI in an intercollegiate athletic program. Similar studies should be done at other institutions for quality assessment and improvement of 4 concussion management. Such data will be useful in establishing a baseline for measure of efficacy in future investigations of therapeutic interventions.
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Akin, Faith W., and Jorge M. Serrador. "Diagnosis and Treatment of Vestibular Disorders in mTBI." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etsu-works/2430.

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The purpose of this session is to examine the vestibular consequences of mild traumatic brain injury (TBI) and blast exposure. Preliminary data will be presented showing characteristics of vestibular dysfunction and postural instability related to mild TBI and blast exposure. Also reviewed will be the latest findings including recent data collected at the War Related Illness & injury Center showing vestibular impairments in those with mTBI. The target audience is audiologists, physical therapists, neurologists, otolaryngologists. This session will cover intermediate level of content.
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Clements, Andrea D. "Mild Traumatic Brain Injury in Multiple Trauma Patients: the Problem of Delayed Diagnosis." Digital Commons @ East Tennessee State University, 1997. https://dc.etsu.edu/etsu-works/7217.

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Excerpt: With all that is currently known about symptoms that indicate mild traumatic brain injury (MTBI), it is unfortunate that many individuals go undiagnosed for long periods of time after sustaining such an injury.
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Spitz, Shelby E. "A Preliminary Examination of First-Line Healthcare Providers' Perceived Knowledge of and Referrals to Speech Language Pathologists Following a Mild Traumatic Brain Injury." Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1587120260821786.

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Books on the topic "Mild traumatic brain injuries (mTBI)"

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Mild traumatic brain injury: The guidebook. Raleigh, NC]: [Lulu Enterprises Inc.], 2010.

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Radomski, Mary Vining, Margaret M. Weightman, Pauline A. Mashima, and Carole R. Roth. Mild traumatic brain injury rehabilitation toolkit. Fort Sam Houston, TX: Borden Institute, 2014.

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Stoler, Diane Roberts. Coping with mild traumatic brain injury. Garden City Park, N.Y: Avery Publishing Group, 1998.

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PTSD and mild traumatic brain injury. New York: Guilford Press, 2012.

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A, Mateer Catherine, ed. Neuropsychological management of mild traumatic brain injury. New York: Oxford University Press, 2000.

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Ann, Roberts Mary, Murph Jody R, Phillips George 1971-, and Sheehan William, eds. Mild traumatic brain injury: Episodic symptoms and treatment. San Diego: Plural Pub., 2011.

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M, Stevens Kristin, and Wolfe Tracey D. W, eds. Mild traumatic brain injury: A therapy and resource manual. San Diego: Singular Pub. Group, 1997.

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Whittemore, Laura L., ed. Understanding mild traumatic brain injury: An insightful guide to symptoms, treatments and redefining recovery: based on Mild Traumatic Brain Injury: a Survivor's Handbook by Theta Theta No Beta. Boulder, Colorado, USA: Brain Injury Hope Foundation, 2010.

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American Academy of Clinical Neuropsychology., ed. Scientific advances in mild traumatic brain injury: Implications for rethinking post-concussion syndrome. New York: Oxford University Press, 2007.

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Keatley, Mary Ann, and Laura L. Whittemore. Recovering from mild traumatic brain injury (MTBI): A handbook of hope for our military warriors and their families. Boulder, CO: Brain Injury Hope Foundation, 2009.

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Book chapters on the topic "Mild traumatic brain injuries (mTBI)"

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Terblanche, Ronel. "Mild Traumatic Brain Injury (mTBI) Affects the Family, Not Just the Injured Individual." In Traumatic Brain Injury, 377–82. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22436-3_18.

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Mentzer, Mark A. "Instrumentation for Assessing mTBI Events." In Mild Traumatic Brain Injury, 37–55. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429344947-3.

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Mosier, William A. "Traumatic Brain Injury, Mild (mTBI)." In Encyclopedia of Trauma Care, 1698–701. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-29613-0_317.

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Mentzer, Mark A. "mTBI in the Military and Contact Sports." In Mild Traumatic Brain Injury, 57–74. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429344947-4.

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Ditta, Lauren C., Nicole K. Weber, Katherine E. Robinson-Freeman, Elle McKenzie, Samantha A. Thomas, Han Jun Kim, Ansley Grimes Stanfill, and Jack W. Tsao. "Visual Disturbances and Mild Traumatic Brain Injury (mTBI)." In Traumatic Brain Injury, 215–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22436-3_12.

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Szczupak, Mikhaylo, Michael E. Hoffer, Kim Gottshall, and Erik S. Viirre. "Vestibular Consequences of Mild Traumatic Brain Injury (mTBI)." In Traumatic Brain Injury, 151–58. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22436-3_8.

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S. Subbarao, Bruno, Rebecca N. Tapia, and Blessen C. Eapen. "Mild Traumatic Brain Injury Rehabilitation." In Managing Dismounted Complex Blast Injuries in Military & Civilian Settings, 241–49. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74672-2_18.

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Stanney, Kay, Kelly Hale, and David Jones. "Augmented Cognition Design Approaches for Treating Mild Traumatic Brain Injuries." In Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 800–809. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02812-0_90.

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Kao, Po-Yu, Eduardo Rojas, Jefferson W. Chen, Angela Zhang, and B. S. Manjunath. "Unsupervised 3-D Feature Learning for Mild Traumatic Brain Injury." In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 282–90. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-55524-9_26.

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Bellotti, R., A. Lombardi, C. Guaragnella, N. Amoroso, A. Tateo, and S. Tangaro. "Mild Traumatic Brain Injury Outcome Prediction Based on Both Graph and K-nn Methods." In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 271–81. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-55524-9_25.

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Conference papers on the topic "Mild traumatic brain injuries (mTBI)"

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Allison, Mari A., Yun Seok Kang, Matthew R. Maltese, John H. Bolte, and Kristy B. Arbogast. "Practical Challenges in Collecting Head Impact Biomechanics Data in Real-World Scenarios via a Helmet-Based Accelerometer System." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14133.

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Recent studies have shown that mild traumatic brain injury (mTBI) can have long-term neurological consequences and may cause permanent damage to the brain [1,2]. Given estimates that millions of these injuries occur each year [3], this knowledge has created a demand for countermeasures to prevent mTBI. In order to create countermeasures, the biomechanical inputs leading to mTBI, which are still a matter of debate, must be better understood in both children and adults.
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Carey, Stephanie L., Kevin Hufford, Amanda Martori, Mario Simoes, Francy Sinatra, and Rajiv V. Dubey. "Development of a Wearable Motion Analysis System for Evaluation and Rehabilitation of Mild Traumatic Brain Injury (mTBI)." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80534.

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Mild traumatic brain injuries (mTBI) stem from a number of causes such as illnesses, strokes, accidents or battlefield traumas. These injuries can cause issues with everyday tasks, such as gait, and are linked with vestibular dysfunction [1]. Current technology that measures gait parameters often requires time consuming set up and post processing and is limited to the laboratory setting. The purpose of this study was to develop a wearable motion analysis system (WMAS) using five commercially available inertial measurement units (IMU) working in unison to record and output four gait parameters in a clinically relevant way. The WMAS has the potential to be used to 1) help diagnose mTBI or other neurocognitive disorders; 2) provide feedback to a clinician during a training session; 3) collect gait parameter data outside of the laboratory setting to determine rehabilitation progress; 4) provide quantitative outcome measures for rehabilitation efficacy.
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Banton, Rohan, Thuvan Piehler, Nicole Zander, Richard Benjamin, Josh Duckworth, and Oren Petel. "Investigating Pressure Wave Impact on a Surrogate Head Model Using Numerical Simulation Techniques." In 2019 15th Hypervelocity Impact Symposium. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/hvis2019-113.

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Abstract There is an urgent need to understand the mechanism leading to mild traumatic brain injury (mTBI) resulting from blast wave impact to the head. The recent conflicts in Iraq and Afghanistan have heightened the awareness of head impact injuries to military personnel resulting from exposure to blast waves [1, 2]. A blast wave generated in air is a by-product of the detonation of an explosive [3]. To date the mechanism resulting in mTBI from primary blast insult is still unclear.
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Daniel, Ray, Steven Rowson, and Stefan M. Duma. "Linear and Angular Head Acceleration Measurement Collection in Pediatric Football." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80201.

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Mild traumatic brain injuries (mTBIs) from participation in sports and recreation activities have received increased public awareness, with many states and the federal government considering or implementing laws directing the response to suspected brain injury [1]. MTBIs may result from an impact or acceleration/deceleration of the head and leading to a brief alteration of mental status. Compared with adults, younger persons are at an increased risk for mTBIs with increased severity and prolonged recovery [2]. Football is one of the leading activities that individuals under the age of 19 will experience a mTBI during [3]. Therefore, football players are ideal candidates for monitoring head impact biomechanics and relating measurements to physiological alterations [4]. Little work has been performed investigating mTBIs in the youth population, thus little is known about the biomechanics involved with such injuries. The goal of this study is to characterize the head impact response in a youth population by instrumenting players on a youth football team.
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Martori, Amanda L., Stephanie L. Carey, Derek J. Lura, and Rajiv V. Dubey. "Knee Angle Analysis Using a Wearable Motion Analysis System for Detection and Rehabilitation of Mild Traumatic Brain Injury." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14802.

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Mild traumatic brain injuries (mTBI) are common in soldiers and athletes, and can affect many areas of a person’s daily life including gait [1]. Current methods of measuring gait parameters involve expensive optical motion capture systems, time intensive setup, wires, complicated filtering techniques, and a laboratory setting. A wearable and wireless motion analysis system would allow gait analysis to be performed outside of a laboratory setting during activities of daily living, in a clinical setting or on a football field. The purpose of this study was to develop and verify an algorithm to calculate knee flexion during slow gait, particularly during terminal stance and pre-swing phases, using wireless wearable sensors.
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Thapa, Pradip, Shahab Mansoor Baghaei, and Ali M. Sadegh. "Analytical Impact Analysis of the Brain Motion in Low-Velocity Head Impacts Using Concentric Viscoelastic Bodies." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-73590.

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Abstract Mild traumatic brain injury (mTBI) and concussion could occur in vehicular accidents, contact sports, or other physical traumas when the head is subjected to high linear or angular acceleration. Understanding the physiology and dynamics of such events has attracted many researchers’ attention. Due to the hidden risks in such events, it is very important to understand the cause and effect of the relative motion between the brain and skull and the implications of normal and shear stresses in the meningeal region. Since the early 70’s to date wide variations of experimental, analytical, and numerical models has been developed to analyze multilayer spherical head impact model to quantify the dynamic response of the human head due to blunt impact and explain the process and likely cause of mild traumatic brain injuries. There are many high-fidelity finite element models and research studies of the various head models, but very limited analytical models to date for parametric studies. Analytical models of head impact play a vital role in predicting relative displacement between skull and brain, transmitted forces, post-impact velocity, and acceleration of the head system. However, to define a reliable mathematical model which can illustrate the mechanisms of motion and deformation of the brain within the skull requires knowledge of dynamics of a multibody system, material properties, boundary conditions at the brain–skull interface, and experimental data or FEM simulation for validation. In this paper, a mathematical model of the brain and meningeal layers, as two separate viscoelastic materials that are modeled using a Kelvin–Voigt model, have been investigated and the motion of the brain relative to the skull during blunt head impacts have been analyzed. Specifically, the model consists of three concentric spherical mediums including a spherical shell (skull), a thin spherical layer (meningeal layer), and a spherical mass (brain). The interface between these spherical mediums consists of springs and dashpots representing stiffness and viscoelasticity of the skull, meningeal layer, and the brain. This model of the head is initially at rest and subjected to an impulse load. The equations of motion for this multi-body system were obtained, solved, and validated by performing a lumped mechanical model and the multibody dynamics finite element analysis simulation. Multiple parametric studies were performed to determine the maximum amplitude of impact force for which there is a contact between the skull and the brain.
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Marcu, Gabriela Mariana. "Particularities of Electrophysiological and Psychoneurological Assessment of Mild Traumatic Brain Injury." In World Lumen Congress 2021, May 26-30, 2021, Iasi, Romania. LUMEN Publishing House, 2022. http://dx.doi.org/10.18662/wlc2021/38.

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Neuropsychological functioning after mTBI is individualized and dynamic, with no currently known predictors and usually having a trajectory of gradual improvement. It is still a challenge to identify specific cognitive profiles associated with mTBI. One of the causes is the transient character of TBI symptoms as they are not appearing immediately after the injury. Another explanation resides in the individual and group variability of cognitive impairements following mTBI, which also affects the standardisation of the neuropsychological tests to use in mTBI assessment batteries (Iverson et al., 2013; Prince & Bruhns, 2017; Tulsky et al., 2017). Presently concussion has no accepted definition or diagnostic criteria. Also, there is no standard (or gold standard) for screening or properly identifying and diagnosing all population with concussion. (Borg et al., 2004). Patients with mTBI could evolve in a bunch of physical, cognitive, and emotional symptoms (Permenter et al., 2021) that are usually known as post-concussion syndrome (PCS). In terms of symptoms, we target neuropsychological evaluation of four key domains (“higher-order attention”, “executive function”, “episodic memory”, and “speed of information processing”) implicated in chronic impairment after mTBI. Alternatively, studies on the EEG frequency domain shed new light on the possibility to have a diagnostic marker based on QEEG patterns identified in the mTBI population and some prognostic factors for the PCS syndrome.(Rapp et al., 2015; Thornton & Carmody, 2009). Given the particularities of neuropsychological functioning after mTBI we emphasize the need of a mixed methodology, using both electrophysiological and psychoneurological tools, to provide the best sensitivity and specificity in assessing cognitive and functional deficits and in predicting further PCS.
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Talkar, Tanya, Sophia Yuditskaya, James R. Williamson, Adam C. Lammert, Hrishikesh Rao, Daniel Hannon, Anne O’Brien, et al. "Detection of Subclinical Mild Traumatic Brain Injury (mTBI) Through Speech and Gait." In Interspeech 2020. ISCA: ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-2651.

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Wong, Jessica M., Adam L. Halberstadt, Humberto A. Sainz, Kiran S. Mathews, Brian W. Chu, Laurel J. Ng, and Philemon C. Chan. "Mild Traumatic Brain Injury From Repeated Low-Level Blast Exposures." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-53542.

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Recent studies on military breachers in training environments suggest that there are neurocognitive risks from exposure to repeated low-level blasts. However, the dose accumulation effects from multiple low-level blast exposures and their relation to mild traumatic brain injury (mTBI) are not well understood. This paper presents a controlled neurobehavioral study of behavioral effects from repeated low-level blasts delivered at ten second intervals using a rat model. A custom designed shock tube was developed to deliver repeated low-level blasts to rats at short intervals on the order of seconds. A total of 192 rats were divided into three cohorts of 64 for testing. Each cohort was exposed to a different blast intensity (7.5, 15, or 25 psi reflective pressure with durations <0.25 ms), and each cohort was further divided into four levels of blast repetition (0, 5, 10, or 15 repeats). Shock tube blasts were directed at the rat’s head, and startle with prepulse inhibition (PPI) and fear learning and extinction behavioral tests were performed to evaluate the blast effects. Behavioral testing results showed that repeated low-level blasts can affect PPI and contextual fear recall. PPI was not affected by repeated exposures to 7.5 psi blasts, but repeated 15 and 25 psi blasts disrupted PPI. All cohorts showed significant fear learning, but the highest blast group (25 psi, 15 repeats) had disruptions in spatial memory recall. None of the cohorts showed effects on cued fear recall or fear extinction and retention. The data collected are being used in continuous research to understand how the behavioral changes relate to mTBI, and how these animal tests can be scaled and modeled to interpret possible outcomes for humans.
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Zhang, Liying, King H. Yang, and Albert I. King. "A Proposed New Brain Injury Tolerance for Minor Traumatic Brain Injury." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/amd-25446.

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Abstract Traumatic brain injuries constitute a significant portion of injury resulting from automotive collisions, motorcycle crashes, and sports collisions. Brain injuries not only represent a serious trauma for those involved but also place an enormous burden on society, often exacting a heavy economical, social, and emotional price. Development of intervention strategies to prevent or minimize these injuries requires a complete understanding of injury mechanism, response and tolerance level. In this study, an attempt is made to delineate actual injury causation and establish a meaningful injury criterion through the use of the actual field accident data. Twenty-four actual field head-to-head collisions that occurred in professional football games were duplicated using a validated finite element human head model. The injury predictors and injury levels were analyzed based on resulting brain tissue responses and were correlated with the site and occurrence of MTBI. Prediction indicated that the shear deformation around the brainstem region could be an injury predictor for concussion. Statistical analyses were performed to establish the new brain injury tolerance level and to further reduce brain injury severity.
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Reports on the topic "Mild traumatic brain injuries (mTBI)"

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Obenaus, Andre. Neuroprotective Strategies After Repetitive Mild Traumatic Brain Injury (mTBI). Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada542080.

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Harrington, Michael G. Multimodal Approach to Testing the Acute Effects of Mild Traumatic Brain Injury (mTBI). Fort Belvoir, VA: Defense Technical Information Center, March 2015. http://dx.doi.org/10.21236/ada619146.

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Schwab, Karen. Deployment- Related Mild Traumatic Brain Injury (mTBI): Incidence Natural History and Predictors of Recovery in Soldiers Returning from OIF/OEF. Fort Belvoir, VA: Defense Technical Information Center, May 2009. http://dx.doi.org/10.21236/ada505341.

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Schwab, Karen. Deployment-Related Mild Traumatic Brain Injury (mTBI): Incidence, Natural History, and Predictors of Recovery in Soldiers Returning from OIF/OEF. Fort Belvoir, VA: Defense Technical Information Center, May 2012. http://dx.doi.org/10.21236/ada567350.

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Schwab, Karen. Deployment-Related Mild Traumatic Brain Injury (mTBI): Incidence Natural History and Predictors of Recovery in Soldiers Returning from OIF/OEF. Fort Belvoir, VA: Defense Technical Information Center, May 2011. http://dx.doi.org/10.21236/ada567355.

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Stern, Erica B., and Todd Rockwood. Reintegrating Troops with Mild Traumatic Brain Injury (mTBI) into Their Communities: Understanding the Scope and Timeline of Post-Deployment Driving Problems. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada580860.

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