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King D, Hume P, Clark T, Wethe J. Use of the concussion check protocol for concussion assessment in a female soccer team over two consecutive seasons in New Zealand. J Neurol Sci 2024; 460:123011. [PMID: 38615404 DOI: 10.1016/j.jns.2024.123011] [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] [Received: 02/18/2024] [Revised: 03/24/2024] [Accepted: 04/09/2024] [Indexed: 05/12/2024]
Abstract
AIM Address deficiencies in access to sports sideline medical care by using a Concussion Check Protocol (CCP) for non-medically-trained people. METHOD A prospective observational cohort study was undertaken on a single amateur female club-based soccer team over two consecutive years in New Zealand utilising a non-medically trained support person termed a Safety officer. CCP is an extension of the King-Devick test with features such as warning signs and symptoms of concussion built into the application. All players suspected of having a potential concussive injury were tested on the match sideline. RESULTS The study overall incidence of match-related concussions was 20.8 (95% CI: 11.8 to 36.6) per 1000 match-hrs, with mean missed-match duration of 31 (95% CI: 27.9 to 34.1) days. Twelve players over the study had a significantly slower post-injury KD (49.9 [44.3 to 64.1]s; χ2(1) = 11.0; p = 0.0009; z = -2.9; p = 0.0033; d = 0.30) and/or reported symptoms, compared with their own baseline (47.2 [44.3 to 64.1]s). CCP had an overall sensitivity of 100% (95% CI: 73.5% to 100.0%), specificity of 100% (95% CI: 69.2% to 100.0%) and positive predictive value (PPV) of 100% (84.6% to 100.0%). CONCLUSION Sideline use of CCP was undertaken successfully by non-medically trained people and provided a reliable platform for concussion identification.
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Affiliation(s)
- Doug King
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand; Traumatic Brain Injury Network (TBIN), Auckland University of Technology, Auckland, New Zealand; School of Science and Technology, University of New England, Armidale, NSW, Australia; Wolfson Research Institute for Health and Wellbeing, Department of Sport and Exercise Sciences, Durham University, Durham, UK; Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand.
| | - Patria Hume
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand; Traumatic Brain Injury Network (TBIN), Auckland University of Technology, Auckland, New Zealand; Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand; Technology and Policy Lab - Law School, The University of Western Australia, Perth, Australia
| | - Trevor Clark
- International College of Management Sydney, Manly, New South Wales, Australia
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Sanclemente D, Belair JA, Talekar KS, Roedl JB, Stache S. Return to Play Following Concussion: Role for Imaging? Semin Musculoskelet Radiol 2024; 28:193-202. [PMID: 38484771 DOI: 10.1055/s-0043-1778031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
This review surveys concussion management, focusing on the use of neuroimaging techniques in return to play (RTP) decisions. Clinical assessments traditionally were the foundation of concussion diagnoses. However, their subjective nature prompted an exploration of neuroimaging modalities to enhance diagnosis and management. Magnetic resonance spectroscopy provides information about metabolic changes and alterations in the absence of structural abnormalities. Diffusion tensor imaging uncovers microstructural changes in white matter. Functional magnetic resonance imaging assesses neuronal activity to reveal changes in cognitive and sensorimotor functions. Positron emission tomography can assess metabolic disturbances using radiotracers, offering insight into the long-term effects of concussions. Vestibulo-ocular dysfunction screening and eye tracking assess vestibular and oculomotor function. Although these neuroimaging techniques demonstrate promise, continued research and standardization are needed before they can be integrated into the clinical setting. This review emphasizes the potential for neuroimaging in enhancing the accuracy of concussion diagnosis and guiding RTP decisions.
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Affiliation(s)
- Drew Sanclemente
- Medical Student, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Jeffrey A Belair
- Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Kiran S Talekar
- Department of Radiology, Brain Mapping (fMRI and DTI) in Neuroradiology, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Johannes B Roedl
- Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Stephen Stache
- Division of Non-Operative Sports Medicine, Department of Orthopaedics and Family and Community Medicine, Rothman Orthopaedic Institute, Thomas Jefferson University, Sidney Kimmel Medical College, Philadelphia, Pennsylvania
- Department of Orthopaedics and Pediatrics, University Athletics, Drexel University and Drexel College of Medicine, Philadelphia, Pennsylvania
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3
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Kontos AP, Zynda AJ, Minerbi A. Comparison of Vestibular/Ocular Motor Screening (VOMS) and Computerized Eye-tracking to Identify Exposure to Repetitive Head Impacts. Mil Med 2024:usae065. [PMID: 38531077 DOI: 10.1093/milmed/usae065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/06/2024] [Accepted: 02/15/2024] [Indexed: 03/28/2024] Open
Abstract
INTRODUCTION Military service members (SMs) are exposed to repetitive head impacts (RHIs) in combat and training that are purported to adversely affect brain health, including cognition, behavior, and function. Researchers have reported that RHI from blast-related exposure may affect both vestibular and ocular function, which in turn may be related to symptomology. As such, an examination of the effects of RHI on exposed military SMs should incorporate these domains. To date, researchers have not compared groups of exposed special operations forces (SOF) operators on combined clinical vestibular/ocular and eye-tracker-based outcomes. Therefore, the primary purpose of this study was to compare participant-reported symptoms and performance on the Vestibular/Ocular Motor Screening (VOMS) tool with performance on the computerized RightEye tracking system between SOF operators exposed to blast-related RHI and healthy controls without blast-related exposure. In addition, the study aimed to compare subgroups of snipers and breachers exposed to RHI to controls on the preceding metrics, as well as identify a subset of individual (demographic) factors, participant-reported symptoms, and performance metrics on VOMS and RightEye that best identify SOF operators exposed to RHI from unexposed controls. MATERIALS AND METHODS The study involved a cross-sectional design including 25 Canadian SOF SMs comprised of breachers (n = 9), snipers (n = 9), and healthy, unexposed controls (n = 7). The former 2 groups were combined into an RHI group (n = 18) and compared to controls (n = 7). Participants provided demographics and completed a self-reported concussion-related symptom report via the Military Acute Concussion Evaluation 2, the VOMS, and RightEye computerized eye-tracking assessments. Independent samples t-tests and ANOVAs were used to compare the groups on the outcomes, with receiver operating characteristic curve and area under the curve (AUC) analyses to identify predictors of blast exposure. This study was approved by the Defence Research Development Canada Human Research Ethics Committee and the Canadian Forces Surgeon General/Special Forces Command. RESULTS The results from t-tests supported group differences for age (P = .012), participant-reported symptoms (P = .006), and all VOMS items (P range = <.001-.02), with the RHI group being higher than healthy controls on all variables. ANOVA results supported group differences among snipers, breachers, and controls for age (P = .01), RightEye saccades (P = .04), participant-reported total symptom severity (P = .03), and VOMS total scores (P = .003). The results of the receiver operating characteristic curve analyses supported age (AUC = 0.81), Military Acute Concussion Evaluation 2 participant-reported total symptom severity (AUC = 0.87), and VOMS total scores (AUC = 0.92) as significant predictors of prior blast exposure. CONCLUSIONS Participant-reported concussion symptoms, VOMS scores, and age were useful in identifying SOF operators exposed to RHI from controls. RightEye metrics were not useful in differentiating RHI groups from controls. Differences between snipers and breachers warrant further research. Overall, the findings suggest that VOMS may be a useful tool for screening for the effects of exposure to RHI in SOF operators. Future investigations should be conducted on a larger sample of military SMs, consider additional factors (e.g., RHI exposure levels, medical history, and sex), and include additional assessment domains (e.g., balance, cognitive, and psychological).
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Affiliation(s)
- Anthony P Kontos
- University of Pittsburgh, Department of Orthopaedic Surgery, Concussion Research Laboratory, Pittsburgh, PA 15203, USA
| | - Aaron J Zynda
- University of Pittsburgh, Department of Orthopaedic Surgery, Concussion Research Laboratory, Pittsburgh, PA 15203, USA
| | - Amir Minerbi
- Institute for Pain Medicine, Rambam Health Campus, Haifa 3200003, Israel
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Hallock H, Mantwill M, Vajkoczy P, Wolfarth B, Reinsberger C, Lampit A, Finke C. Sport-Related Concussion: A Cognitive Perspective. Neurol Clin Pract 2023; 13:e200123. [PMID: 36891462 PMCID: PMC9987206 DOI: 10.1212/cpj.0000000000200123] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 11/03/2022] [Indexed: 02/25/2023]
Abstract
Purpose of Review The incidence of sport-related concussion (SRC) has been increasing in different sports and its impact on long-term cognitive function is increasingly recognized. In this study, we review the epidemiology, neuropathophysiology, clinical symptoms, and long-term consequences of SRC with a specific focus on cognition. Recent Findings Repeated concussions are associated with an increased risk of several neurologic diseases and long-term cognitive deficits. To improve cognitive outcomes in athletes with SRC, standardized guidelines for the assessment and management of SRC are vital. However, current concussion management guidelines lack procedures for rehabilitating acute and long-term cognitive symptoms. Summary Increased awareness for the management and rehabilitation of cognitive symptoms in SRC is needed in all clinical neurologists treating professional and amateur athletes. We propose cognitive training as a prehabilitation tool to alleviate the severity of cognitive symptoms and as a rehabilitative tool to improve cognitive recovery postinjury.
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Affiliation(s)
- Harry Hallock
- Berlin School of Mind and Brain (HH, MM, AL, CF), Humboldt-Universität zu Berlin; Departments of Neurology (HH, MM, AL, CF) and Neurosurgery (PV) and of Sports Medicine (BW), Charité Universitätsmedizin, Berlin; Institute of Sports Medicine (CR), University of Paderborn, Germany; and Department of Psychiatry (AL), University of Melbourne, Parkville, Australia
| | - Maron Mantwill
- Berlin School of Mind and Brain (HH, MM, AL, CF), Humboldt-Universität zu Berlin; Departments of Neurology (HH, MM, AL, CF) and Neurosurgery (PV) and of Sports Medicine (BW), Charité Universitätsmedizin, Berlin; Institute of Sports Medicine (CR), University of Paderborn, Germany; and Department of Psychiatry (AL), University of Melbourne, Parkville, Australia
| | - Peter Vajkoczy
- Berlin School of Mind and Brain (HH, MM, AL, CF), Humboldt-Universität zu Berlin; Departments of Neurology (HH, MM, AL, CF) and Neurosurgery (PV) and of Sports Medicine (BW), Charité Universitätsmedizin, Berlin; Institute of Sports Medicine (CR), University of Paderborn, Germany; and Department of Psychiatry (AL), University of Melbourne, Parkville, Australia
| | - Bernd Wolfarth
- Berlin School of Mind and Brain (HH, MM, AL, CF), Humboldt-Universität zu Berlin; Departments of Neurology (HH, MM, AL, CF) and Neurosurgery (PV) and of Sports Medicine (BW), Charité Universitätsmedizin, Berlin; Institute of Sports Medicine (CR), University of Paderborn, Germany; and Department of Psychiatry (AL), University of Melbourne, Parkville, Australia
| | - Claus Reinsberger
- Berlin School of Mind and Brain (HH, MM, AL, CF), Humboldt-Universität zu Berlin; Departments of Neurology (HH, MM, AL, CF) and Neurosurgery (PV) and of Sports Medicine (BW), Charité Universitätsmedizin, Berlin; Institute of Sports Medicine (CR), University of Paderborn, Germany; and Department of Psychiatry (AL), University of Melbourne, Parkville, Australia
| | - Amit Lampit
- Berlin School of Mind and Brain (HH, MM, AL, CF), Humboldt-Universität zu Berlin; Departments of Neurology (HH, MM, AL, CF) and Neurosurgery (PV) and of Sports Medicine (BW), Charité Universitätsmedizin, Berlin; Institute of Sports Medicine (CR), University of Paderborn, Germany; and Department of Psychiatry (AL), University of Melbourne, Parkville, Australia
| | - Carsten Finke
- Berlin School of Mind and Brain (HH, MM, AL, CF), Humboldt-Universität zu Berlin; Departments of Neurology (HH, MM, AL, CF) and Neurosurgery (PV) and of Sports Medicine (BW), Charité Universitätsmedizin, Berlin; Institute of Sports Medicine (CR), University of Paderborn, Germany; and Department of Psychiatry (AL), University of Melbourne, Parkville, Australia
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Ali M, Asghar N, Hannah T, Schupper AJ, Li A, Dreher N, Murtaza-Ali M, Vasan V, Nakadar Z, Alasadi H, Lin A, Hrabarchuk E, Quinones A, McCarthy L, Asfaw Z, Dullea J, Gometz A, Lovell M, Choudhri T. A multicenter, longitudinal survey of headaches and concussions among youth athletes in the United States from 2009 to 2019. J Headache Pain 2023; 24:6. [PMID: 36755244 PMCID: PMC9909942 DOI: 10.1186/s10194-022-01528-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 11/17/2022] [Indexed: 02/10/2023] Open
Abstract
OBJECTIVE/ BACKGROUND Chronic headaches and sports-related concussions are among the most common neurological morbidities in adolescents and young adults. Given that the two can overlap in presentation, studying the effects of one on another has proven difficult. In this longitudinal study, we sought to assess the relationship between chronic headaches and concussions, analyzing the role of historic concussions on chronic headaches, as well as that of premorbid headaches on future concussion incidence, severity, and recovery. METHODS This multi-center, longitudinal cohort study followed 7,453 youth athletes who were administered demographic and clinical surveys as well as a total of 25,815 Immediate Post-concussion Assessment and Cognitive Testing (ImPACT) assessments between 2009 and 2019. ImPACT was administered at baseline. Throughout the season concussions were examined by physicians and athletic trainers, followed by re-administration of ImPACT post-injury (PI), and at follow-up (FU), a median of 7 days post-concussion. Concussion incidence was calculated as the total number of concussions per patient years. Concussion severity and recovery were calculated as standardized deviations from baseline to PI and then FU in Symptom Score and the four neurocognitive composite ImPACT scores: Verbal Memory, Visual Memory, Processing Speed, and Reaction Time. Data were collected prospectively in a well-organized electronic format supervised by a national research-oriented organization with rigorous quality assurance. Analysis was preformed retrospectively. RESULTS Of the eligible athletes, 1,147 reported chronic headaches (CH) at the start of the season and 6,306 reported no such history (NH). Median age of the cohort was 15.4 ± 1.6 years, and students were followed for an average of 1.3 ± 0.6 years. A history of concussions (OR 2.31, P < 0.0001) was associated with CH. Specifically, a greater number of past concussions (r2 = 0.95) as well as concussions characterized by a loss of consciousness (P < 0.0001) were associated with more severe headache burden. The CH cohort had a greater future incidence of concussion than the NH cohort (55.6 vs. 43.0 per 100 patient-years, P < 0.0001). However, multivariate analysis controlling for demographic, clinical, academic, and sports-related variables yielded no such effect (OR 0.99, P = 0.85). On multivariable analysis the CH cohort did have greater deviations from baseline to PI and FU in Symptom Score (PI OR per point 1.05, P = 0.01, FU OR per point 1.11, P = 0.04) and Processing Speed (OR per point 1.08, P = 0.04), suggesting greater concussion severity and impaired symptomatic recovery as compared to the NH cohort. CONCLUSION A history of concussions was a significant contributor to headache burden among American adolescents and young adults. However, those with chronic headaches were not more likely to be diagnosed with a concussion, despite presenting with more severe concussions that had protracted recovery. Our findings not only suggest the need for conservative management among youth athletes with chronic headaches, they also indicate a potential health care gap in this population, in that those with chronic headaches may be referred for concussion diagnosis and management at lower rates than those with no such comorbidity.
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Affiliation(s)
- Muhammad Ali
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 10021, NY, USA.
| | - Nek Asghar
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 10021, NY, USA
| | - Theodore Hannah
- Department of Neurosurgery, Lewis Katz School of Medicine at Temple University, 19140, Philadelphia, PA, USA
| | - Alexander J Schupper
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 10021, NY, USA
| | - Adam Li
- Department of Neurosurgery, University of Rochester School of Medicine and Dentistry, 14642, Rochester, NY, USA
| | - Nickolas Dreher
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, 10032, NY, USA
| | - Muhammad Murtaza-Ali
- Department of Anthropology, State University of New York at Binghamton, 13902, NY, USA
| | - Vikram Vasan
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 10021, NY, USA
| | - Zaid Nakadar
- Department of Neurosurgery, State University of New York Downstate Health Sciences University, 11203, NY, USA
| | - Husni Alasadi
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 10021, NY, USA
| | - Anthony Lin
- Department of Pathology, Joan & Sanford I. Weill Medical College of Cornell University, 10021, NY, USA
| | - Eugene Hrabarchuk
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 10021, NY, USA
| | - Addison Quinones
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 10021, NY, USA
| | - Lily McCarthy
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 10021, NY, USA
| | - Zerubabbel Asfaw
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 10021, NY, USA
| | - Jonathan Dullea
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 10021, NY, USA
| | - Alex Gometz
- Concussion Management of New York, 10021, NY, USA
| | - Mark Lovell
- Department of Neurology, The University of Pittsburgh Medical Center, 15260, Pittsburgh, PA, USA
| | - Tanvir Choudhri
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 10021, NY, USA
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Rapid Automatized Picture Naming in an Outpatient Concussion Center: Quantitative Eye Movements during the Mobile Universal Lexicon Evaluation System (MULES) Test. CLINICAL AND TRANSLATIONAL NEUROSCIENCE 2022. [DOI: 10.3390/ctn6030018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Number and picture rapid automatized naming (RAN) tests are useful sideline diagnostic tools. The main outcome measure of these RAN tests is the completion time, which is prolonged with a concussion, yet yields no information about eye movement behavior. We investigated eye movements during a digitized Mobile Universal Lexicon Evaluation System (MULES) test of rapid picture naming. A total of 23 participants with a history of concussion and 50 control participants performed MULES testing with simultaneous eye tracking. The test times were longer in participants with a concussion (32.4 s [95% CI 30.4, 35.8] vs. 26.9 s [95% CI 25.9, 28.0], t=6.1). The participants with a concussion made more saccades per picture than the controls (3.6 [95% CI 3.3, 4.1] vs. 2.7 [95% CI 2.5, 3.0]), and this increase was correlated with longer MULES times (r = 0.46, p = 0.026). The inter-saccadic intervals (ISI) did not differ between the groups, nor did they correlate with the test times. Following a concussion, eye movement behavior differs during number versus picture RAN performance. Prior studies have shown that ISI prolongation is the key finding for a number-based RAN test, whereas this study shows a primary finding of an increased saccade number per picture with a picture-based RAN test. Number-based and picture-based RAN tests may be complimentary in concussion detection, as they may detect different injury effects or compensatory strategies.
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Jacob D, Unnsteinsdóttir Kristensen IS, Aubonnet R, Recenti M, Donisi L, Ricciardi C, Svansson HÁR, Agnarsdóttir S, Colacino A, Jónsdóttir MK, Kristjánsdóttir H, Sigurjónsdóttir HÁ, Cesarelli M, Eggertsdóttir Claessen LÓ, Hassan M, Petersen H, Gargiulo P. Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea). Sci Rep 2022; 12:8996. [PMID: 35637235 PMCID: PMC9151646 DOI: 10.1038/s41598-022-12822-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 05/16/2022] [Indexed: 11/17/2022] Open
Abstract
Current diagnosis of concussion relies on self-reported symptoms and medical records rather than objective biomarkers. This work uses a novel measurement setup called BioVRSea to quantify concussion status. The paradigm is based on brain and muscle signals (EEG, EMG), heart rate and center of pressure (CoP) measurements during a postural control task triggered by a moving platform and a virtual reality environment. Measurements were performed on 54 professional athletes who self-reported their history of concussion or non-concussion. Both groups completed a concussion symptom scale (SCAT5) before the measurement. We analyzed biosignals and CoP parameters before and after the platform movements, to compare the net response of individual postural control. The results showed that BioVRSea discriminated between the concussion and non-concussion groups. Particularly, EEG power spectral density in delta and theta bands showed significant changes in the concussion group and right soleus median frequency from the EMG signal differentiated concussed individuals with balance problems from the other groups. Anterior-posterior CoP frequency-based parameters discriminated concussed individuals with balance problems. Finally, we used machine learning to classify concussion and non-concussion, demonstrating that combining SCAT5 and BioVRSea parameters gives an accuracy up to 95.5%. This study is a step towards quantitative assessment of concussion.
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Affiliation(s)
- Deborah Jacob
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
| | | | - Romain Aubonnet
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
| | - Marco Recenti
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
| | - Leandro Donisi
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
- Department of Chemical, Materials and Production Engineering, University of Naples Federico II, Naples, Italy
| | - Carlo Ricciardi
- Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
| | - Halldór Á R Svansson
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
| | - Sólveig Agnarsdóttir
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
| | - Andrea Colacino
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
- Department of Computer Engineering, Electrical and Applied Mathematics, University of Salerno, Salerno, Italy
| | - María K Jónsdóttir
- Department of Psychology, School of Social Sciences, Reykjavik University, Reykjavik, Iceland
- Landspitali National University Hospital of Iceland, Reykjavik, Iceland
| | - Hafrún Kristjánsdóttir
- Department of Psychology, School of Social Sciences, Reykjavik University, Reykjavik, Iceland
- Physical Activity, Physical Education, Sport and Health (PAPESH) Research Centre, Sports Science Department, School of Social Sciences, Reykjavik University, Reykjavik, Iceland
| | - Helga Á Sigurjónsdóttir
- Landspitali National University Hospital of Iceland, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Mario Cesarelli
- Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
- Department of Information Technology and Electrical Engineering, University of Naples, Naples, Italy
| | - Lára Ósk Eggertsdóttir Claessen
- Landspitali National University Hospital of Iceland, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Mahmoud Hassan
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland
- MINDig, 35000, Rennes, France
| | - Hannes Petersen
- Department of Anatomy, Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Akureyri Hospital, Akureyri, Iceland
| | - Paolo Gargiulo
- Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland.
- Department of Science, Landspitali, National University Hospital of Iceland, Reykjavik, Iceland.
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The MICK (Mobile integrated cognitive kit) app: Digital rapid automatized naming for visual assessment across the spectrum of neurological disorders. J Neurol Sci 2022; 434:120150. [PMID: 35038658 DOI: 10.1016/j.jns.2022.120150] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 12/31/2021] [Accepted: 01/06/2022] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Rapid automatized naming (RAN) tasks have been utilized for decades to evaluate neurological conditions. Time scores for the Mobile Universal Lexicon Evaluation System (MULES, rapid picture naming) and Staggered Uneven Number (SUN, rapid number naming) are prolonged (worse) with concussion, mild cognitive impairment, multiple sclerosis and Parkinson's disease. The purpose of this investigation was to compare paper/pencil versions of MULES and SUN with a new digitized format, the MICK app. METHODS Participants (healthy office-based volunteers, professional women's hockey players), completed two trials of the MULES and SUN tests on both platforms (tablet, paper/pencil). The order of presentation of the testing platforms was randomized. Between-platform variability was calculated using the two-way random-effects intraclass correlation coefficient (ICC). RESULTS Among 59 participants (median age 32, range 22-83), no significant differences were observed for comparisons of mean best scores for the paper/pencil versus MICK app platforms, counterbalanced for order of administration (P = 0.45 for MULES, P = 0.50 for SUN, linear regression). ICCs for agreement between the MICK and paper/pencil tests were 0.92 (95% CI 0.86, 0.95) for MULES and 0.94 (95% CI 0.89, 0.96) for SUN, representing excellent levels of agreement. Inter-platform differences did not vary systematically across the range of average best time score for either test. CONCLUSION The MICK app for digital administration of MULES and SUN demonstrates excellent agreement of time scores with paper/pencil testing. The computerized app allows for greater accessibility and scalability in neurological diseases, inclusive of remote monitoring. Sideline testing for sports-related concussion may also benefit from this technology.
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9
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Sideline Assessment of Concussion. OPER TECHN SPORT MED 2022. [DOI: 10.1016/j.otsm.2022.150893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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10
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Gold DM, Rizzo JR, Lee YSC, Childs A, Hudson TE, Martone J, Matsuzawa YK, Fraser F, Ricker JH, Dai W, Selesnick I, Balcer LJ, Galetta SL, Rucker JC. King-Devick Test Performance and Cognitive Dysfunction after Concussion: A Pilot Eye Movement Study. Brain Sci 2021; 11:brainsci11121571. [PMID: 34942873 PMCID: PMC8699706 DOI: 10.3390/brainsci11121571] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 11/17/2021] [Accepted: 11/24/2021] [Indexed: 11/30/2022] Open
Abstract
(1) Background: The King-Devick (KD) rapid number naming test is sensitive for concussion diagnosis, with increased test time from baseline as the outcome measure. Eye tracking during KD performance in concussed individuals shows an association between inter-saccadic interval (ISI) (the time between saccades) prolongation and prolonged testing time. This pilot study retrospectively assesses the relation between ISI prolongation during KD testing and cognitive performance in persistently-symptomatic individuals post-concussion. (2) Results: Fourteen participants (median age 34 years; 6 women) with prior neuropsychological assessment and KD testing with eye tracking were included. KD test times (72.6 ± 20.7 s) and median ISI (379.1 ± 199.1 msec) were prolonged compared to published normative values. Greater ISI prolongation was associated with lower scores for processing speed (WAIS-IV Coding, r = 0.72, p = 0.0017), attention/working memory (Trails Making A, r = −0.65, p = 0.006) (Digit Span Forward, r = 0.57, p = −0.017) (Digit Span Backward, r= −0.55, p = 0.021) (Digit Span Total, r = −0.74, p = 0.001), and executive function (Stroop Color Word Interference, r = −0.8, p = 0.0003). (3) Conclusions: This pilot study provides preliminary evidence suggesting that cognitive dysfunction may be associated with prolonged ISI and KD test times in concussion.
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Affiliation(s)
- Doria M. Gold
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10016, USA; (D.M.G.); (J.-R.R.); (T.E.H.); (J.M.); (W.D.); (L.J.B.); (S.L.G.)
| | - John-Ross Rizzo
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10016, USA; (D.M.G.); (J.-R.R.); (T.E.H.); (J.M.); (W.D.); (L.J.B.); (S.L.G.)
- Department of Physical Medicine & Rehabilitation, New York University Grossman School of Medicine, New York, NY 10016, USA; (Y.S.C.L.); (A.C.); (Y.K.M.); (J.H.R.)
- Department of Mechanical & Aerospace Engineering, New York University Tandon School of Engineering, New York, NY 11201, USA
- Department of Biomedical Engineering, New York University Tandon School of Engineering, New York, NY 11201, USA
| | - Yuen Shan Christine Lee
- Department of Physical Medicine & Rehabilitation, New York University Grossman School of Medicine, New York, NY 10016, USA; (Y.S.C.L.); (A.C.); (Y.K.M.); (J.H.R.)
| | - Amanda Childs
- Department of Physical Medicine & Rehabilitation, New York University Grossman School of Medicine, New York, NY 10016, USA; (Y.S.C.L.); (A.C.); (Y.K.M.); (J.H.R.)
| | - Todd E. Hudson
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10016, USA; (D.M.G.); (J.-R.R.); (T.E.H.); (J.M.); (W.D.); (L.J.B.); (S.L.G.)
- Department of Physical Medicine & Rehabilitation, New York University Grossman School of Medicine, New York, NY 10016, USA; (Y.S.C.L.); (A.C.); (Y.K.M.); (J.H.R.)
| | - John Martone
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10016, USA; (D.M.G.); (J.-R.R.); (T.E.H.); (J.M.); (W.D.); (L.J.B.); (S.L.G.)
| | - Yuka K. Matsuzawa
- Department of Physical Medicine & Rehabilitation, New York University Grossman School of Medicine, New York, NY 10016, USA; (Y.S.C.L.); (A.C.); (Y.K.M.); (J.H.R.)
| | - Felicia Fraser
- Department of Physical Medicine & Rehabilitation, MetroHeath System, Cleveland, OH 44109, USA;
| | - Joseph H. Ricker
- Department of Physical Medicine & Rehabilitation, New York University Grossman School of Medicine, New York, NY 10016, USA; (Y.S.C.L.); (A.C.); (Y.K.M.); (J.H.R.)
| | - Weiwei Dai
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10016, USA; (D.M.G.); (J.-R.R.); (T.E.H.); (J.M.); (W.D.); (L.J.B.); (S.L.G.)
- Department of Electrical & Computer Engineering, New York University Tandon School of Engineering, New York, NY 11201, USA;
| | - Ivan Selesnick
- Department of Electrical & Computer Engineering, New York University Tandon School of Engineering, New York, NY 11201, USA;
| | - Laura J. Balcer
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10016, USA; (D.M.G.); (J.-R.R.); (T.E.H.); (J.M.); (W.D.); (L.J.B.); (S.L.G.)
- Department of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA
- Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Steven L. Galetta
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10016, USA; (D.M.G.); (J.-R.R.); (T.E.H.); (J.M.); (W.D.); (L.J.B.); (S.L.G.)
- Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Janet C. Rucker
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10016, USA; (D.M.G.); (J.-R.R.); (T.E.H.); (J.M.); (W.D.); (L.J.B.); (S.L.G.)
- Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY 10016, USA
- Correspondence: ; Tel.: +1-212-263-7744
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11
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Salazar S, Oyewole F, Obi T, Baron R, Mahony D, Kropelnicki A, Cohen A, Putrino D, Fry A. Steady-state visual evoked potentials are unchanged following physical and cognitive exertion paradigms. JOURNAL OF CONCUSSION 2021. [DOI: 10.1177/20597002211055346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background There is a need for objective biomarkers of sports-related concussion that are unaffected by physical and cognitive exertion. Electroencephalography-based biomarkers such as steady-state visually evoked potentials (SSVEPs) have been proposed as one such biomarker. The aim of this study was to investigate the effects of cognitive and physical exertion on SSVEP signal-to-noise ratio (SNR). Methods This study involved two experiments. The first experiment was performed in a controlled laboratory environment and involved a treadmill run designed to induce physical fatigue and a Stroop task designed to induce mental fatigue, completed in a randomized order on two separate visits. SSVEPs were evoked using a 15-Hz strobe using a Nurochek headset before and after each task. Changes in the 15-Hz SSVEP SNR and self-reported fatigue (visual analog scales) were assessed. In the second experiment, SSVEP SNR was measured before and after real-world boxing matches. Paired t-tests compared pre- and post-task SSVEP SNR and fatigue scores. Results Eighteen participants were recruited for experiment 1. Following the treadmill run, participants reported higher physical fatigue, mental fatigue, and overall fatigue ( p ≤ 0.005; d ≥ 0.90). Following the Stroop task, participants reported higher mental fatigue and overall fatigue ( p < 0.001; d ≥ 1.16), but not physical fatigue. SSVEP SNR scores were unchanged following either the Stroop task ( p = 0.059) or the treadmill task ( p = 0.590). Seven participants were recruited for experiment 2. SSVEP SNR scores were unchanged following the boxing matches ( p = 0.967). Conclusions The results of both experiments demonstrate that SSVEP SNR scores were not different following the treadmill run, Stroop task or amateur boxing match. These findings provide preliminary evidence that SSVEP fidelity may not be significantly affected by physical and cognitive exertion paradigms.
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Affiliation(s)
- Sophia Salazar
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Femi Oyewole
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ted Obi
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rebecca Baron
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Adam Fry
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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12
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Carrick FR, Pagnacco G, Azzolino SF, Hunfalvay M, Oggero E, Frizzell T, Smith CJ, Pawlowski G, Campbell NKJ, Fickling SD, Lakhani B, D'Arcy RCN. Brain Vital Signs in Elite Ice Hockey: Towards Characterizing Objective and Specific Neurophysiological Reference Values for Concussion Management. Front Neurosci 2021; 15:670563. [PMID: 34434084 PMCID: PMC8382572 DOI: 10.3389/fnins.2021.670563] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 07/09/2021] [Indexed: 12/02/2022] Open
Abstract
Background: Prior concussion studies have shown that objective neurophysiological measures are sensitive to detecting concussive and subconcussive impairments in youth ice-hockey. These studies monitored brain vital signs at rink-side using a within-subjects design to demonstrate significant changes from pre-season baseline scans. However, practical clinical implementation must overcome inherent challenges related to any dependence on a baseline. This requires establishing the start of normative reference data sets. Methods: The current study collected specific reference data for N = 58 elite, youth, male ice-hockey players and compared these with a general reference dataset from N = 135 of males and females across the lifespan. The elite hockey players were recruited to a select training camp through CAA Hockey, a management agency for players drafted to leagues such as the National Hockey League (NHL). The statistical analysis included a test-retest comparison to establish reliability, and a multivariate analysis of covariance to evaluate differences in brain vital signs between groups with age as a covariate. Findings: Test-retest assessments for brain vital signs evoked potentials showed moderate-to-good reliability (Cronbach’s Alpha > 0.7, Intraclass correlation coefficient > 0.5) in five out of six measures. The multivariate analysis of covariance showed no overall effect for group (p = 0.105), and a significant effect of age as a covariate was observed (p < 0.001). Adjusting for the effect of age, a significant difference was observed in the measure of N100 latency (p = 0.022) between elite hockey players and the heterogeneous control group. Interpretation: The findings support the concept that normative physiological data can be used in brain vital signs evaluation in athletes, and should additionally be stratified for age, skill level, and experience. These can be combined with general norms and/or individual baseline assessments where appropriate and/or possible. The current results allow for brain vital sign evaluation independent of baseline assessment, therefore enabling objective neurophysiological evaluation of concussion management and cognitive performance optimization in ice-hockey.
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Affiliation(s)
- Frederick R Carrick
- University of Central Florida College of Medicine, Orlando, FL, United States.,MGH Institute of Health Professions, Boston, MA, United States.,Centre for Mental Health Research, University of Cambridge, Cambridge, United Kingdom.,Centre for Mental Health Research in Association with University of Cambridge, Cambridge, United Kingdom
| | - Guido Pagnacco
- Centre for Mental Health Research in Association with University of Cambridge, Cambridge, United Kingdom.,Department of Electrical and Computer Engineering, University of Wyoming, Laramie, WY, United States
| | - Sergio F Azzolino
- Centre for Mental Health Research in Association with University of Cambridge, Cambridge, United Kingdom
| | - Melissa Hunfalvay
- Centre for Mental Health Research in Association with University of Cambridge, Cambridge, United Kingdom
| | - Elena Oggero
- Centre for Mental Health Research in Association with University of Cambridge, Cambridge, United Kingdom.,Department of Electrical and Computer Engineering, University of Wyoming, Laramie, WY, United States
| | - Tory Frizzell
- BrainNET, Health and Technology District, Vancouver, BC, Canada
| | | | - Gabriela Pawlowski
- BrainNET, Health and Technology District, Vancouver, BC, Canada.,Centre for Neurology Studies, HealthTech Connex, Vancouver, BC, Canada
| | - Natasha K J Campbell
- BrainNET, Health and Technology District, Vancouver, BC, Canada.,Centre for Neurology Studies, HealthTech Connex, Vancouver, BC, Canada
| | - Shaun D Fickling
- BrainNET, Health and Technology District, Vancouver, BC, Canada.,Centre for Neurology Studies, HealthTech Connex, Vancouver, BC, Canada
| | - Bimal Lakhani
- Centre for Neurology Studies, HealthTech Connex, Vancouver, BC, Canada
| | - Ryan C N D'Arcy
- BrainNET, Health and Technology District, Vancouver, BC, Canada.,Centre for Neurology Studies, HealthTech Connex, Vancouver, BC, Canada.,DM Centre for Brain Health, Department of Radiology, University of British Columbia, Vancouver, BC, Canada
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13
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Harrogate consensus agreement: Cycling specific sport related concussion. SPORTS MEDICINE AND HEALTH SCIENCE 2021; 3:110-114. [PMID: 35782162 PMCID: PMC9219345 DOI: 10.1016/j.smhs.2021.05.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 05/20/2021] [Indexed: 12/04/2022] Open
Abstract
Sport-related concussion (SRC) is a common and increasingly recognised sport-related injury and accounts for between 1% and 9% of all cycling-specific injuries. Attention has been drawn to the difficulty in managing suspected SRC in a fast-paced sport such as road cycling, particularly the lack of an effective and time-efficient assessment protocol. A meeting on cycling SRC was convened in Harrogate, United Kingdom, in an attempt to resolve this problem. The aim was to agree on standard terminology, definitions, diagnostic protocols and return to play protocols for the various differing codes of cycle sport. Seven experts in the field of cycling medicine were invited to participate by the International Cycling Union and are the authors of this report. The panel recognised that the sport of cycling consists of varied disciplines, some of which provide a setting in which a sideline assessment is possible which is in line with the Berlin Consensus statement. However, other disciplines provide challenging circumstances where health care providers have limited access to participants and where participants are unable to discontinue participation and participate in sideline assessment. Consensus-based discipline-specific protocols and guidelines which recognise the limitations posed by these circumstances, but nevertheless, improve on the current situation specific to the sport of cycling are presented as a potential solution to the unique challenges posed by these cycling disciplines.
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14
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Espinoza TR, Hendershot KA, Liu B, Knezevic A, Jacobs BB, Gore RK, Guskiewicz KM, Bazarian JJ, Phelps SE, Wright DW, LaPlaca MC. A Novel Neuropsychological Tool for Immersive Assessment of Concussion and Correlation with Subclinical Head Impacts. Neurotrauma Rep 2021; 2:232-244. [PMID: 34223554 PMCID: PMC8240822 DOI: 10.1089/neur.2020.0022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Mild traumatic brain injury (mTBI) remains a diagnostic challenge and therefore strategies for objective assessment of neurological function are key to limiting long-term sequelae. Current assessment methods are not optimal in austere environments such as athletic fields; therefore, we developed an immersive tool, the Display Enhanced Testing for Cognitive Impairment and mTBI (DETECT) platform, for rapid objective neuropsychological (NP) testing. The objectives of this study were to assess the ability of DETECT to accurately identify neurocognitive deficits associated with concussion and evaluate the relationship between neurocognitive measures and subconcussive head impacts. DETECT was used over a single season of two high school and two college football teams. Study participants were instrumented with Riddell Head Impact Telemetry (HIT) sensors and a subset tested with DETECT immediately after confirmed impacts for different combinations of linear and rotational acceleration. A total of 123 athletes were enrolled and completed baseline testing. Twenty-one players were pulled from play for suspected concussion and tested with DETECT. DETECT was 86.7% sensitive (95% confidence interval [CI]: 59.5%, 98.3%) and 66.7% specific (95% CI: 22.3%, 95.7%) in correctly identifying athletes with concussions (15 of 21). Weak but significant correlations were found between complex choice response time (processing speed and divided attention) and both linear (Spearman rank correlation coefficient 0.262, p = 0.02) and rotational (Spearman coefficient 0.254, p = 0.03) acceleration on a subset of 76 players (113 DETECT tests) with no concussion symptoms. This study demonstrates that DETECT confers moderate to high sensitivity in identifying acute cognitive impairment and suggests that football impacts that do not result in concussion may negatively affect cognitive performance immediately following an impact. Specificity, however, was not optimal and points to the need for additional studies across multiple neurological domains. Given the need for more objective concussion screening in triage situations, DETECT may provide a solution for mTBI assessment.
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Affiliation(s)
- Tamara R Espinoza
- Department of Emergency Medicine, Division of Emergency Neurosciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Kristopher A Hendershot
- Department of Emergency Medicine, Division of Emergency Neurosciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Brian Liu
- Georgia Tech Research Institute (GTRI), Advanced Human Integration Branch, Atlanta, Georgia, USA
| | - Andrea Knezevic
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Breanne B Jacobs
- Department of Emergency Medicine, Division of Emergency Neurosciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Russell K Gore
- Complex Concussion Clinic, Shepherd Center, Atlanta, Georgia, USA
| | - Kevin M Guskiewicz
- Department of Exercise and Sport Science, University of North Carolina, North Carolina, USA
| | - Jeffery J Bazarian
- Department of Emergency Medicine, University of Rochester, Rochester, New York, USA
| | - Shean E Phelps
- Georgia Tech Research Institute (GTRI), Advanced Human Integration Branch, Atlanta, Georgia, USA
| | - David W Wright
- Department of Emergency Medicine, Division of Emergency Neurosciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Michelle C LaPlaca
- Department of Biomedical Engineering, Georgia Institute of Technology/Emory University, Atlanta, Georgia, USA
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15
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Mechanical threshold for concussion based on computation of axonal strain using a finite element rat brain model. BRAIN MULTIPHYSICS 2021. [DOI: 10.1016/j.brain.2021.100032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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16
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Hiasat JG, Nischal KK. Traumatic Brain Injury in Children: Sport-related Concussions in Children. J Binocul Vis Ocul Motil 2020; 70:128-133. [PMID: 33275076 DOI: 10.1080/2576117x.2020.1826289] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Concussion is a worldwide health concern among children and adolescents. Over the decades concussion has been gradually better recognized as an entity that accounts for a significant disability post head trauma in patients. Patients present with cognitive, somatic and oculo-vestibular symptoms that can be incapacitating. Most concussion symptoms are transient and resolve within 1-2 weeks but can persist for years. Concussion pathophysiology is complex and may not be fully understood but it involves numerous mechanisms including cellular metabolic derangements, cerebral blood inflow, and axonal disruption. With no associated objective biomarkers or visible pathologic brain changes, diagnosis of concussion can be challenging. Many organizations and collaborative groups have suggested numerous definitions and diagnostic criteria for concussion in an attempt to improve the evidence-based clinical assessments and therapies for concussion. Proper assessment and evaluation is crucial starting from counseling of the patient, gradual return to cognitive and physical activity in an individualized treatment plan to ensure a timely return to daily activities and full sport participation. This report provides a grasp over the current state of sport-related concussion knowledge, diagnosis, and clinical evaluation in children and adolescent, with a focus on the ocular symptoms and signs.
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Affiliation(s)
- Jamila G Hiasat
- Division of Pediatric Ophthalmology, Strabismus, and Adult Motility, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine , Pittsburgh, Pennsylvania
| | - Ken K Nischal
- Division of Pediatric Ophthalmology, Strabismus, and Adult Motility, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine , Pittsburgh, Pennsylvania
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17
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Bunt SC, Didehbani N, LoBue C, Stokes M, Heinzelmann M, Rossetti H, Miller SM, Nakonezny PA, Bell K, Batjer H, Cullum CM. Sex differences in reporting of concussion symptoms in adults. Clin Neuropsychol 2020; 36:1290-1303. [PMID: 33258703 DOI: 10.1080/13854046.2020.1842500] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
OBJECTIVE To examine differences in concussion symptom reporting between female and male adults considering current psychological symptoms such as anxiety and depression and pre-injury factors in order to identify sex differences which may guide treatment efforts. Method: This prospective study is part of the North Texas Concussion Registry (ConTex). Subjects (N = 132) age 19 to 78 years had sustained a concussion within 30 days of clinic visit. The independent variable was sex and covariates included age, ethnicity, current anxiety and depression ratings, history of attention deficit disorder, history of headache/migraine, and time to clinic. The dependent variables were 22 post-concussion symptoms as measured by the Sport Concussion Assessment Tool-5 Post-Concussion Symptom Scale. Results: Analysis of covariance and ordinal logistic regression results both revealed that females had a greater likelihood of reporting increased symptom severity for 15/22 concussion symptoms. The largest risk ratios (effect size) in symptom reporting between sexes (higher symptoms in females) included: feeling more emotional 4.05 (0.72), fatigue or low energy 4.05 (0.72), sensitivity to light 3.74 (0.69), headache 3.65 (0.57), balance problems 3.31 (0.53), pressure in head 3.06 (0.51), and neck pain 2.97 (0.60). Conclusions: Adult females in our sample reported higher levels of many concussion symptoms than males and showed an increased risk of developing these same symptoms following concussion. Examination of the magnitude of sex difference in concussion symptom reporting will better inform medical staff to anticipate and address symptoms that may present greater challenges for adult females.
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Affiliation(s)
- Stephen C Bunt
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Nyaz Didehbani
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Christian LoBue
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.,Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, USA
| | - Mathew Stokes
- Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX, USA.,Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Morgan Heinzelmann
- Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Heidi Rossetti
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Shane M Miller
- Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX, USA.,Department of Orthopedics, Texas Scottish Rite Hospital for Children, Dallas, Texas, USA.,Department of Orthopaedic Surgery, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Paul A Nakonezny
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.,Department of Population and Data Sciences, UT Southwestern Medical Center, Dallas, TX, USA
| | - Kathleen Bell
- Department of Physical Medicine and Rehabilitation, UT Southwestern Medical Center, Dallas, TX, USA
| | - Hunt Batjer
- Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, USA
| | - C Munro Cullum
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.,Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, USA.,Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA
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18
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Felipe L, Shelton JA. The clinical utility of the cervical vestibular-evoked myogenic potential (cVEMP) in university-level athletes with concussion. Neurol Sci 2020; 42:2803-2809. [PMID: 33161456 DOI: 10.1007/s10072-020-04849-w] [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: 03/17/2020] [Accepted: 10/19/2020] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Concussion is defined as a mild traumatic brain injury that can occur in all sport activities. Cervical vestibular-evoked myogenic potentials (cVEMPs) are accepted to demonstrate the vestibulocollic reflex. MAIN: To evaluate subclinical cervical abnormalities in the vestibulospinal pathway in subjects with concussion history with and without related symptoms via evoked vestibular potential. METHODS Monaurally air conduction cVEMP (500 Hz tone bursts) at intensity of 100 dBnHL and 200 sweeps. All responses were replicated. RESULTS One hundred fifty-four participants were initially tested; however, three (03) participants did not produce usable data (no response) and were eliminated for the dataset cutoff values analysis, being considered just as abnormal response. One hundred fifty-one responses consisted of 45 non-athlete individuals without any history of a concussion or concussion symptoms (normative group), 45 athletes without any history of a concussion or concussion symptoms (control group), 33 athletes with a history of at least one concussion but no concussion symptoms related (history group), and 28 athletes with a history of at least one concussion and concussion symptoms (symptoms group). The history and symptoms groups had statistically higher latency scores than the control and the normative groups. The Index Ratio data and Threshold data did not produce a significant effect for four groups. But, a pattern of abnormal cVEMP was found when comparing those without a history of concussion (0% abnormal response) versus the history group (24%) and symptoms group (32.3%). CONCLUSION The study provides data which supports the positive impact of cVEMP when evaluating athletes and identifying concussion processes.
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Affiliation(s)
- Lilian Felipe
- Department of Speech and Hearing Sciences, Lamar University, PO Box 10076, Beaumont, TX, 77710, USA.
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19
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King D, Hume PA, Clark TN, Pearce AJ. Use of the King-Devick test for the identification of concussion in an amateur domestic women's rugby union team over two competition seasons in New Zealand. J Neurol Sci 2020; 418:117162. [PMID: 33017712 DOI: 10.1016/j.jns.2020.117162] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 09/01/2020] [Accepted: 09/26/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To investigate the use of the King-Devick (K-D) test for sideline assessment of concussive injuries in a New Zealand amateur women's rugby union team. DESIGN Prospective cohort observational. METHODS All players were K-D tested during pre-season using a tablet (iPad; Apple Inc., Cupertino, CA). Differences in K-D scores and test-retest reliability were calculated for baseline test scores, baseline, and post-injury (concussion) sideline assessment and baseline and post-season testing scores for tests by year and as a combined score. RESULTS One training-related (0.3 per 1000 training-hrs) and nine match-related (16.1 per 1000 match-hrs) concussions were recorded. The K-D post-injury (concussion) sideline test score were significantly slower than established baseline (-4.4 [-5.8 to -3.4] s; χ2(1) = 42.2; p < 0.0001; t(9) = -4.0; p = 0.0029; d = -0.8). There was good-to-excellent reliability of the K-D test for baseline (ICC: 0.84 to 0.89), post-injury (concussion) sideline assessment (ICC: 0.82 to 0.97) and post-season evaluation (ICC: 0.79 to 0.83). DISCUSSION By utilising the baseline to post-injury (concussion) assessment comparisons, any player with a post-injury (concussion) assessment slowing of their K-D test time, regardless of whether the player has, or has not had a witnessed insult, should be withheld from any further participation until they are evaluated by a medical professional trained in the management of concussion. CONCLUSION This study has provided additional evidence to support the use of the K-D test as a frontline method of assessing concussion with good to excellent reliability of the test for baseline, side-line assessment and post-season evaluation.
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Affiliation(s)
- D King
- Sport Performance Research Institute New Zealand (SPRINZ), Faculty of Health and Environment Science, Auckland University of Technology, Auckland, New Zealand; School of Science and Technology, University of New England, Armidale, NSW, Australia; School of Sport, Exercise and Nutrition, Massey University, New Zealand.
| | - P A Hume
- School of Science and Technology, University of New England, Armidale, NSW, Australia; National Institute of Stroke and Applied Neuroscience (NISAN), Faculty of Health and Environment Science, Auckland University of Technology, Auckland, New Zealand
| | - T N Clark
- International College of Management Sydney, Manly, New South Wales, Australia
| | - A J Pearce
- College of Science, Health and Engineering, La Trobe University, Bundoora, Melbourne, Victoria, Australia
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20
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Feddermann-Demont N, Chiampas G, Cowie CM, Meyer T, Nordström A, Putukian M, Straumann D, Kramer E. Recommendations for initial examination, differential diagnosis, and management of concussion and other head injuries in high-level football. Scand J Med Sci Sports 2020; 30:1846-1858. [PMID: 32557913 PMCID: PMC9290574 DOI: 10.1111/sms.13750] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 05/09/2020] [Accepted: 06/04/2020] [Indexed: 12/22/2022]
Abstract
Head injuries can result in substantially different outcomes, ranging from no detectable effect to transient functional impairments to life‐threatening structural lesions. In high‐level international football (soccer) tournaments, on average, one head injury occurs in every third match. Making the diagnosis and determining the severity of a head injury immediately on‐pitch or off‐field is a major challenge for team physicians, especially because clinical signs of a brain injury can develop over several minutes, hours, or even days after the injury. A standardized approach is useful to support team physicians in their decision whether the player should be allowed to continue to play or should be removed from play after head injury. A systematic, football‐specific procedure for examination and management during the first 72 hours after head injuries and a graduated Return‐to‐Football program for high‐level players have been developed by an international group of experts based on current national and international guidelines for the management of acute head injuries. The procedure includes seven stages from the initial on‐pitch examination to the graduated Return‐to‐Football program. Details of the assessments and the consequences of different outcomes are described for each stage. Criteria for emergency management (red flags), removal from play (orange flags), and referral to specialists for further diagnosis and treatment (persistent orange flags) are provided. The guidelines for return to sport after concussion‐type head injury are specified for football. Thus, the present paper presents a comprehensive procedure for team physicians after a head injury in high‐level football.
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Affiliation(s)
- Nina Feddermann-Demont
- University Hospital and University of Zurich, Zurich, Switzerland.,Swiss Concussion Center, Schulthess Clinic, Zurich, Switzerland
| | - Georges Chiampas
- US Soccer Federation, Chicago, IL, USA.,Departments of Emergency and Orthopedics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | | | - Tim Meyer
- Institute of Sports and Preventive Medicine, Saarland University, Saarbruecken, Germany
| | - Anna Nordström
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.,School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Margot Putukian
- University Health Services, Princeton University, Princeton, NJ, USA.,Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Dominik Straumann
- University Hospital and University of Zurich, Zurich, Switzerland.,Swiss Concussion Center, Schulthess Clinic, Zurich, Switzerland
| | - Efraim Kramer
- Division of Sports Medicine, University of Pretoria, Pretoria, South Africa
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