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Uyeno C, Zhang R, Cornwell J, Teramoto M, Boo M, Lumba-Brown A. Acute Eye-Tracking Changes Correlated With Vestibular Symptom Provocation Following Mild Traumatic Brain Injury. Clin J Sport Med 2024; 34:411-416. [PMID: 38702871 DOI: 10.1097/jsm.0000000000001223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 02/21/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVES To quantify norms and changes in eye-tracking proficiency, and determine vestibular symptom correlations in varsity college athletes following acute mild traumatic brain injury (mTBI). We hypothesized that mTBI impacts central coordination between the vestibular and oculomotor systems with resultant changes in eye-tracking proficiency that are correlated with vestibular symptom provocation. DESIGN Retrospective cohort study. SETTING Sports medicine care at a single institution. PATIENTS One hundred and nineteen college athletes diagnosed with mTBI by a physician between 2013 and 2019. INTERVENTIONS N/A. MAIN OUTCOME MEASURES Standard deviation of tangential error, standard deviation of radian error, mean phase error, and horizontal gain from virtual reality-based, circular eye-tracking goggles used at baseline and within 72 hours post-mTBI. Headache, dizziness, nausea, and fogginess provocation after the Vestibular Ocular Motor Screening (VOMS) smooth pursuits subtest compared with pretest baseline, assessed within 72 hours post-mTBI. RESULTS One hundred and nineteen college athletes (N = 56 women and 63 men) aged 18 to 24 years sustained a total of 177 mTBI. Forty-four percent of athletes displayed abnormal eye-tracking on at least 1 eye-tracking measure following acute mTBI compared with their baseline. From the VOMS, horizontal gain showed medium-sized to large-sized positive correlations with headache ( r = 0.34) and dizziness ( r = 0.54), respectively. Mean phase error showed a medium-sized negative correlation with nausea ( r = -0.32) on the VOMS. CONCLUSIONS Eye-tracking proficiency was impaired and correlated with vestibular symptom provocation following acute mTBI in college athletes. Future research should examine eye-tracking proficiency testing in other acute care settings to support mTBI diagnosis.
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Affiliation(s)
| | - Rachel Zhang
- Department of Emergency Medicine, Stanford University, Stanford, California
| | - Jordan Cornwell
- Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
| | - Masaru Teramoto
- Department of Physical Medicine & Rehabilitation, University of Utah, Salt Lake City, Utah; and
| | - Marie Boo
- Department of Health & Performance, San Jose Earthquakes, San Jose, California
| | - Angela Lumba-Brown
- Department of Emergency Medicine, Stanford University, Stanford, California
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King J, Friend C, Zhang D, Carr W. Comparative Performance of Three Eye-Tracking Devices in Detection of Mild Traumatic Brain Injury in Acute Versus Chronic Subject Populations. Mil Med 2024; 189:628-635. [PMID: 39160847 DOI: 10.1093/milmed/usae205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/19/2024] [Accepted: 04/08/2024] [Indexed: 08/21/2024] Open
Abstract
INTRODUCTION Presently, traumatic brain injury (TBI) triage in field settings relies on symptom-based screening tools such as the updated Military Acute Concussion Evaluation. Objective eye-tracking may provide an alternative means of neurotrauma screening due to sensitivity to neurotrauma brain-health changes. Previously, the US Army Medical Research and Development Command Non-Invasive NeuroAssessment Devices (NINAD) Integrated Product Team identified 3 commercially available eye-tracking devices (SyncThink EYE-SYNC, Oculogica EyeBOX, NeuroKinetics IPAS) as meeting criteria toward being operationally effective in the detection of TBI in service members. We compared these devices to assess their relative performance in the classification of mild traumatic brain injury (mTBI) subjects versus normal healthy controls. MATERIALS AND METHODS Participants 18 to 45 years of age were assigned to Acute mTBI, Chronic mTBI, or Control group per study criteria. Each completed a TBI assessment protocol with all 3 devices counterbalanced across participants. Acute mTBI participants were tested within 72 hours following injury whereas time since last injury for the Chronic mTBI group ranged from months to years. Discriminant analysis was undertaken to determine device classification performance in separating TBI subjects from controls. Area Under the Curves (AUCs) were calculated and used to compare the accuracy of device performance. Device-related factors including data quality, the need to repeat tests, and technical issues experienced were aggregated for reporting. RESULTS A total of 63 participants were recruited as Acute mTBI subjects, 34 as Chronic mTBI subjects, and 119 participants without history of TBI as controls. To maximize outcomes, poorer quality data were excluded from analysis using specific criteria where possible. Final analysis utilized 49 (43 male/6 female, mean [x̅] age = 24.3 years, SD [s] = 5.1) Acute mTBI subjects, and 34 (33 male/1 female, x̅ age = 38.8 years, s = 3.9) Chronic mTBI subjects were age- and gender-matched as closely as possible with Control subjects. AUCs obtained with 80% of total dataset ranged from 0.690 to 0.950 for the Acute Group and from 0.753 to 0.811 for the Chronic mTBI group. Validation with the remaining 20% of dataset produced AUCs ranging from 0.600 to 0.750 for Acute mTBI group and 0.490 to 0.571 for the Chronic mTBI group. CONCLUSIONS Potential eye-tracking detection of mTBI, per training model outcomes, ranged from acceptable to excellent for the Acute mTBI group; however, it was less consistent for the Chronic mTBI group. The self-imposed targeted performance (AUC of 0.850) appears achievable, but further device improvements and research are necessary. Discriminant analysis models differed for the Acute versus Chronic mTBI groups, suggesting performance differences in eye-tracking. Although eye-tracking demonstrated sensitivity in the Chronic group, a more rigorous and/or longitudinal study design is required to evaluate this observation. mTBI injuries were not controlled for this study, potentially reducing eye-tracking assessment sensitivity. Overall, these findings indicate that while eye-tracking remains a viable means of mTBI screening, device-specific variability in data quality, length of testing, and ease of use must be addressed to achieve NINAD objectives and DoD implementation.
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Affiliation(s)
- John King
- Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830, USA
- Center for Military Psychology and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA
| | - Chantele Friend
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA
| | - Dong Zhang
- Department of Mathematics, Computer Science, and Digital Forensics, Bloomsburg University of Pennsylvania, Bloomsburg, PA 17815, USA
| | - Walter Carr
- Center for Military Psychology and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA
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Spielman LA, Maruta J, Ghajar J. Dual statistical models link baseline visual attention measure to risk for significant symptomatic concussion in sports. Concussion 2023; 8:CNC112. [PMID: 38855758 PMCID: PMC10945612 DOI: 10.2217/cnc-2023-0002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 12/01/2023] [Indexed: 06/11/2024] Open
Abstract
Aim Athletic pre-season testing can establish functional baseline for comparison following concussion. Whether impacts of future concussions may be foretold by such testing is little known. Materials & methods Two sets of models for a significant burden of concussion were generated: a traditional approach using a series of logistic regressions, and a penalized regression approach using elastic net. Results 3091 youth and adult athletes were baseline-assessed. 90 subsequently experienced concussion and 35 were still experiencing a significant burden of concussion when tested within two weeks. Both models associated prior history of head injury and visual attention-related metrics with a significant burden of concussion. Conclusion Pre-season testing of visual attention may identify athletes who are at risk for significant sports-related concussion.
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Affiliation(s)
- Lisa A Spielman
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jun Maruta
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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Song A, Gabriel R, Mohiuddin O, Whitaker D, Wisely CE, Kim T. Automated Eye Tracking Enables Saccade Performance Evaluation of Patients with Concussion History. Optom Vis Sci 2023; 100:855-860. [PMID: 38033013 DOI: 10.1097/opx.0000000000002090] [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: 12/02/2023] Open
Abstract
SIGNIFICANCE Automated eye tracking could be used to evaluate saccade performance of patients with concussion history, providing quantitative insights about the degree of oculomotor impairment and potential vision rehabilitation strategies for this patient population. PURPOSE To evaluate the saccade performance of patients with concussion history based on automated eye-tracking test results. METHODS We conducted a retrospective study of patients with concussion history, primarily from sports participation, who underwent oculomotor testing based on an eye-tracking technology at the Duke Eye Center vision rehabilitation clinic between June 30, 2017, and January 10, 2022. Patients' saccade test results were reviewed, including saccade fixation and saccade speed/accuracy ratio. The outcomes were compared with age-matched normative population data derived from healthy individuals. Multiple linear regression analyses were performed to identify factors associated with saccade performance among patients with concussion history. RESULTS On hundred fifteen patients with concussion history were included in the study. Patients with concussion, on average, had fewer fixations on self-paced horizontal and vertical saccade tests and lower horizontal and vertical saccade speed/accuracy ratios compared with normative ranges. Among patients with concussion history, multiple linear regression analyses showed that older age was associated with fewer fixations on horizontal and vertical saccade tests, whereas male sex was associated with more fixations on horizontal and vertical saccade tests (all P < .01). In addition, older age was associated with lower horizontal saccade speed/accuracy ratio, after adjusting for sex, number of concussion(s), and time from most recent concussion to oculomotor testing ( P < .001). CONCLUSIONS Patients with concussion history had lower saccade performance based on eye tracking compared with healthy individuals. We additionally identified risk factors for lower saccade performance among patients with concussion history. These findings support the use of saccade test results as biomarkers for concussion and have implications for post-concussion rehabilitation strategies.
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Affiliation(s)
- Ailin Song
- Duke University School of Medicine, Durham, North Carolina
| | - Rami Gabriel
- Department of Ophthalmology, Duke University, Durham, North Carolina
| | - Omar Mohiuddin
- Department of Ophthalmology, Duke University, Durham, North Carolina
| | - Diane Whitaker
- Department of Ophthalmology, Duke University, Durham, North Carolina
| | | | - Terry Kim
- Department of Ophthalmology, Duke University, Durham, North Carolina
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Tabor JB, Brett BL, Nelson L, Meier T, Penner LC, Mayer AR, Echemendia RJ, McAllister T, Meehan WP, Patricios J, Makdissi M, Bressan S, Davis GA, Premji Z, Schneider KJ, Zetterberg H, McCrea M. Role of biomarkers and emerging technologies in defining and assessing neurobiological recovery after sport-related concussion: a systematic review. Br J Sports Med 2023; 57:789-797. [PMID: 37316184 DOI: 10.1136/bjsports-2022-106680] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/05/2023] [Indexed: 06/16/2023]
Abstract
OBJECTIVE Determine the role of fluid-based biomarkers, advanced neuroimaging, genetic testing and emerging technologies in defining and assessing neurobiological recovery after sport-related concussion (SRC). DESIGN Systematic review. DATA SOURCES Searches of seven databases from 1 January 2001 through 24 March 2022 using keywords and index terms relevant to concussion, sports and neurobiological recovery. Separate reviews were conducted for studies involving neuroimaging, fluid biomarkers, genetic testing and emerging technologies. A standardised method and data extraction tool was used to document the study design, population, methodology and results. Reviewers also rated the risk of bias and quality of each study. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Studies were included if they: (1) were published in English; (2) represented original research; (3) involved human research; (4) pertained only to SRC; (5) included data involving neuroimaging (including electrophysiological testing), fluid biomarkers or genetic testing or other advanced technologies used to assess neurobiological recovery after SRC; (6) had a minimum of one data collection point within 6 months post-SRC; and (7) contained a minimum sample size of 10 participants. RESULTS A total of 205 studies met inclusion criteria, including 81 neuroimaging, 50 fluid biomarkers, 5 genetic testing, 73 advanced technologies studies (4 studies overlapped two separate domains). Numerous studies have demonstrated the ability of neuroimaging and fluid-based biomarkers to detect the acute effects of concussion and to track neurobiological recovery after injury. Recent studies have also reported on the diagnostic and prognostic performance of emerging technologies in the assessment of SRC. In sum, the available evidence reinforces the theory that physiological recovery may persist beyond clinical recovery after SRC. The potential role of genetic testing remains unclear based on limited research. CONCLUSIONS Advanced neuroimaging, fluid-based biomarkers, genetic testing and emerging technologies are valuable research tools for the study of SRC, but there is not sufficient evidence to recommend their use in clinical practice. PROSPERO REGISTRATION NUMBER CRD42020164558.
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Affiliation(s)
- Jason B Tabor
- Sport Injury Prevention Research Centre, Faculty of Kinesiology; University of Calgary, Calgary, Alberta, Canada
| | - Benjamin L Brett
- Department of Neurosurgery and Center for Neurotrauma Research, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Lindsay Nelson
- Department of Neurosurgery and Center for Neurotrauma Research, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Timothy Meier
- Department of Neurosurgery and Center for Neurotrauma Research, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Linden C Penner
- Sport Injury Prevention Research Centre, Faculty of Kinesiology; University of Calgary, Calgary, Alberta, Canada
| | - Andrew R Mayer
- The Mind Research Network, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA
| | - Ruben J Echemendia
- Psychology, University of Missouri Kansas City, Kansas City, Missouri, USA
- Psychological and Neurobehavioral Associates, Inc, State College, PA, USA
| | - Thomas McAllister
- Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - William P Meehan
- Micheli Center for Sports Injury Prevention, Boston Children's Hospital, Boston, Massachusetts, USA
- Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jon Patricios
- Wits Sport and Health (WiSH), School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand South, Johannesburg, South Africa
| | - Michael Makdissi
- Florey Institute of Neuroscience and Mental Health - Austin Campus, Heidelberg, Victoria, Australia
- Australian Football League, Melbourne, Victoria, Australia
| | - Silvia Bressan
- Department of Women's and Children's Health, University of Padova, Padova, Italy
| | - Gavin A Davis
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Zahra Premji
- Libraries, University of Victoria, Victoria, British Columbia, Canada
| | - Kathryn J Schneider
- Sport Injury Prevention Research Centre, Faculty of Kinesiology; University of Calgary, Calgary, Alberta, Canada
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Molndal, Sweden
| | - Michael McCrea
- Department of Neurosurgery and Center for Neurotrauma Research, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
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Maruta J, Spielman LA, Ghajar J. Visuomotor Synchronization: Military Normative Performance. Mil Med 2023; 188:e484-e491. [PMID: 34318327 DOI: 10.1093/milmed/usab320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 07/08/2021] [Accepted: 07/14/2021] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION Cognitive processes such as perception and reasoning are preceded and dependent on attention. Because of the close overlap between neural circuits of attention and eye movement, attention may be objectively quantified with recording of eye movements during an attention-dependent task. Our previous work demonstrated that performance scores on a circular visual tracking task that requires dynamic synchronization of the gaze with the target motion can be impacted by concussion, sleep deprivation, and attention deficit/hyperactivity disorder. The current study examined the characteristics of performance on a standardized predictive visual tracking task in a large sample from a U.S. Military population to provide military normative data. MATERIALS AND METHODS The sample consisted of 1,594 active duty military service members of either sex aged 18-29 years old who were stationed at Fort Hood Army Base. The protocol was reviewed and approved by the U.S. Army Medical Research and Materiel Command Institutional Review Board. Demographic, medical, and military history data were collected using questionnaires, and performance-based data were collected using a circular visual tracking test and Trail Making Test. Differences in visual tracking performance by demographic characteristics were examined with a multivariate analysis of variance, as well as a Kolmogorov-Smirnov test and a rank-sum test. Associations with other measures were examined with a rank-sum test or Spearman correlations. RESULTS Robust sex differences in visual tracking performance were found across the various statistical models, as well as age differences in several isolated comparisons. Accordingly, norms of performance scores, described in terms of percentile standings, were developed adjusting for age and sex. The effects of other measures on visual tracking performance were small or statistically non-significant. An examination of the score distributions of various metrics suggested that strategies preferred by men and women may optimize different aspects of visual tracking performance. CONCLUSION This large-scale quantification of attention, using dynamic visuomotor synchronization performance, provides rigorously characterized age- and sex-based military population norms. This study establishes analytics for assessing normal and impaired attention and detecting changes within individuals over time. Practical applications for combat readiness and surveillance of attention impairment from sleep insufficiency, concussion, medication, or attention disorders will be enhanced with portable, easily accessible, fast, and reliable dynamic eye-tracking technologies.
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Affiliation(s)
- Jun Maruta
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Brain Trauma Foundation, Palo Alto, CA 94301, USA
| | - Lisa A Spielman
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Brain Trauma Foundation, Palo Alto, CA 94301, USA
| | - Jamshid Ghajar
- Brain Trauma Foundation, Palo Alto, CA 94301, USA
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA
- Brain Performance Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA
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Symons GF, O’Brien WT, Abel L, Chen Z, Costello DM, O’Brien TJ, Kolbe S, Fielding J, Shultz SR, Clough M. Monitoring the acute and subacute recovery of cognitive ocular motor changes after a sports-related concussion. Cereb Cortex 2022; 33:5276-5288. [PMID: 36300614 DOI: 10.1093/cercor/bhac416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 09/15/2022] [Accepted: 09/17/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Identifying when recovery from a sports-related concussion (SRC) has occurred remains a challenge in clinical practice. This study investigated the utility of ocular motor (OM) assessment to monitor recovery post-SRC between sexes and compared to common clinical measures. From 139 preseason baseline assessments (i.e. before they sustained an SRC), 18 (12 males, 6 females) consequent SRCs were sustained and the longitudinal follow-ups were collected at 2, 6, and 13 days post-SRC. Participants completed visually guided, antisaccade (AS), and memory-guided saccade tasks requiring a saccade toward, away from, and to a remembered target, respectively. Changes in latency (processing speed), visual–spatial accuracy, and errors were measured. Clinical measures included The Sports Concussion Assessment Tool, King-Devick test, Stroop task, and Digit span. AS latency was significantly longer at 2 days and returned to baseline by 13-days post-SRC in females only (P < 0.001). Symptom numbers recovered from 2 to 6 days and 13 days (P < 0.05). Persistently poorer AS visual–spatial accuracy was identified at 2, 6 and 13 days post-SRC (P < 0.05) in both males and females but with differing trajectories. Clinical measures demonstrated consistent improvement reminiscent of practice effects. OM saccade assessment may have improved utility in tracking recovery compared to conventional measures and between sexes.
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Affiliation(s)
- Georgia F Symons
- Monash University Department of Neuroscience, , The Alfred Centre, 99 Commercial Road, Melbourne, Victoria (VIC) 3004, Australia
| | - William T O’Brien
- Monash University Department of Neuroscience, , The Alfred Centre, 99 Commercial Road, Melbourne, Victoria (VIC) 3004, Australia
| | - Larry Abel
- Department of Optometry and Vision science, The University of Melbourne , Grattan street, Parkville, Victoria (VIC) 3010, Australia
| | - Zhibin Chen
- Monash University Department of Neuroscience, , The Alfred Centre, 99 Commercial Road, Melbourne, Victoria (VIC) 3004, Australia
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital , Grattan street, Parkville, Victoria (VIC) 3010, Australia
| | - Daniel M Costello
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital , Grattan street, Parkville, Victoria (VIC) 3010, Australia
| | - Terence J O’Brien
- Monash University Department of Neuroscience, , The Alfred Centre, 99 Commercial Road, Melbourne, Victoria (VIC) 3004, Australia
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital , Grattan street, Parkville, Victoria (VIC) 3010, Australia
| | - Scott Kolbe
- Monash University Department of Neuroscience, , The Alfred Centre, 99 Commercial Road, Melbourne, Victoria (VIC) 3004, Australia
| | - Joanne Fielding
- Monash University Department of Neuroscience, , The Alfred Centre, 99 Commercial Road, Melbourne, Victoria (VIC) 3004, Australia
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital , Grattan street, Parkville, Victoria (VIC) 3010, Australia
| | - Sandy R Shultz
- Monash University Department of Neuroscience, , The Alfred Centre, 99 Commercial Road, Melbourne, Victoria (VIC) 3004, Australia
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital , Grattan street, Parkville, Victoria (VIC) 3010, Australia
- Department of Nursing, Health and Huan services, Vancouver Island University , 900 Fifth St, Nanaimo, British Columbia (BC), V9R 6S5, Canada
| | - Meaghan Clough
- Monash University Department of Neuroscience, , The Alfred Centre, 99 Commercial Road, Melbourne, Victoria (VIC) 3004, Australia
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McDonald MA, Tayebi M, McGeown JP, Kwon EE, Holdsworth SJ, Danesh-Meyer HV. A window into eye movement dysfunction following mTBI: A scoping review of magnetic resonance imaging and eye tracking findings. Brain Behav 2022; 12:e2714. [PMID: 35861623 PMCID: PMC9392543 DOI: 10.1002/brb3.2714] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 04/11/2022] [Accepted: 05/23/2022] [Indexed: 12/01/2022] Open
Abstract
Mild traumatic brain injury (mTBI), commonly known as concussion, is a complex neurobehavioral phenomenon affecting six in 1000 people globally each year. Symptoms last between days and years as microstructural damage to axons and neurometabolic changes result in brain network disruption. There is no clinically available objective biomarker to diagnose the severity of injury or monitor recovery. However, emerging evidence suggests eye movement dysfunction (e.g., saccades and smooth pursuits) in patients with mTBI. Patients with a higher symptom burden and prolonged recovery time following injury may show higher degrees of eye movement dysfunction. Likewise, recent advances in magnetic resonance imaging (MRI) have revealed both white matter tract damage and functional network alterations in mTBI patients, which involve areas responsible for the ocular motor control. This scoping review is presented in three sections: Section 1 explores the anatomical control of eye movements to aid the reader with interpreting the discussion in subsequent sections. Section 2 examines the relationship between abnormal MRI findings and eye tracking after mTBI based on the available evidence. Finally, Section 3 communicates gaps in our knowledge about MRI and eye tracking, which should be addressed in order to substantiate this emerging field.
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Affiliation(s)
- Matthew A McDonald
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand.,Mātai Medical Research Institute, Gisborne, New Zealand
| | - Maryam Tayebi
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand.,Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Joshua P McGeown
- Mātai Medical Research Institute, Gisborne, New Zealand.,Auckland University of Technology Traumatic Brain Injury Network, Auckland, New Zealand
| | - Eryn E Kwon
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand.,Mātai Medical Research Institute, Gisborne, New Zealand.,Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Samantha J Holdsworth
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand.,Mātai Medical Research Institute, Gisborne, New Zealand.,Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Helen V Danesh-Meyer
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand.,Eye Institute, Auckland, New Zealand
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Schmid W, Fan Y, Chi T, Golanov E, Regnier-Golanov AS, Austerman RJ, Podell K, Cherukuri P, Bentley T, Steele CT, Schodrof S, Aazhang B, Britz GW. Review of wearable technologies and machine learning methodologies for systematic detection of mild traumatic brain injuries. J Neural Eng 2021; 18. [PMID: 34330120 DOI: 10.1088/1741-2552/ac1982] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/30/2021] [Indexed: 12/16/2022]
Abstract
Mild traumatic brain injuries (mTBIs) are the most common type of brain injury. Timely diagnosis of mTBI is crucial in making 'go/no-go' decision in order to prevent repeated injury, avoid strenuous activities which may prolong recovery, and assure capabilities of high-level performance of the subject. If undiagnosed, mTBI may lead to various short- and long-term abnormalities, which include, but are not limited to impaired cognitive function, fatigue, depression, irritability, and headaches. Existing screening and diagnostic tools to detect acute andearly-stagemTBIs have insufficient sensitivity and specificity. This results in uncertainty in clinical decision-making regarding diagnosis and returning to activity or requiring further medical treatment. Therefore, it is important to identify relevant physiological biomarkers that can be integrated into a mutually complementary set and provide a combination of data modalities for improved on-site diagnostic sensitivity of mTBI. In recent years, the processing power, signal fidelity, and the number of recording channels and modalities of wearable healthcare devices have improved tremendously and generated an enormous amount of data. During the same period, there have been incredible advances in machine learning tools and data processing methodologies. These achievements are enabling clinicians and engineers to develop and implement multiparametric high-precision diagnostic tools for mTBI. In this review, we first assess clinical challenges in the diagnosis of acute mTBI, and then consider recording modalities and hardware implementation of various sensing technologies used to assess physiological biomarkers that may be related to mTBI. Finally, we discuss the state of the art in machine learning-based detection of mTBI and consider how a more diverse list of quantitative physiological biomarker features may improve current data-driven approaches in providing mTBI patients timely diagnosis and treatment.
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Affiliation(s)
- William Schmid
- Department of Electrical and Computer Engineering and Neuroengineering Initiative (NEI), Rice University, Houston, TX 77005, United States of America
| | - Yingying Fan
- Department of Electrical and Computer Engineering and Neuroengineering Initiative (NEI), Rice University, Houston, TX 77005, United States of America
| | - Taiyun Chi
- Department of Electrical and Computer Engineering and Neuroengineering Initiative (NEI), Rice University, Houston, TX 77005, United States of America
| | - Eugene Golanov
- Department of Neurosurgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
| | | | - Ryan J Austerman
- Department of Neurosurgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
| | - Kenneth Podell
- Department of Neurology, Houston Methodist Hospital, Houston, TX 77030, United States of America
| | - Paul Cherukuri
- Institute of Biosciences and Bioengineering (IBB), Rice University, Houston, TX 77005, United States of America
| | - Timothy Bentley
- Office of Naval Research, Arlington, VA 22203, United States of America
| | - Christopher T Steele
- Military Operational Medicine Research Program, US Army Medical Research and Development Command, Fort Detrick, MD 21702, United States of America
| | - Sarah Schodrof
- Department of Athletics-Sports Medicine, Rice University, Houston, TX 77005, United States of America
| | - Behnaam Aazhang
- Department of Electrical and Computer Engineering and Neuroengineering Initiative (NEI), Rice University, Houston, TX 77005, United States of America
| | - Gavin W Britz
- Department of Neurosurgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
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Abstract
Objective Current clinical guidelines provide a unitary approach to manage sport-related concussion (SRC), while heterogeneity in the presentation of symptoms suggests that subtypes of SRC may exist. We systematically reviewed the available evidence on SRC subtypes and associated clinical outcomes. Data Sources Ovid Medline, Embase, PsycINFO, and SPORTDiscus Eligibility Criteria for Selecting Studies Electronic databases were searched for studies: (i) identifying SRC symptom clusters using classification methodology; or (ii) associating symptom clusters to clinical outcome variables. A total of 6,146 unique studies were identified, of which 75 full texts were independently assessed by two authors for eligibility. A total of 22 articles were included for systematic review. Data Extraction Two independent authors performed data extraction and risk of bias analysis using the Cochrane Collaboration tool. Data Synthesis Six studies found evidence for existence of SRC symptom clusters. Combining the available literature through Multiple Correspondence Analysis (MCA) provided evidence for the existence of a migraine cluster, a cognitive–emotional cluster, a sleep–emotional cluster, a neurological cluster, and an undefined feelings cluster. Nineteen studies found meaningful associations between SRC symptom clusters and clinical outcomes. Clusters mapping to the migraine cluster were most frequently reported in the literature and were most strongly related to aspects of clinical outcome. Conclusions The available literature provides evidence for the existence of at least five subtypes in SRC symptomatology, with clear relevance to clinical outcome. Systematically embedding the differentiation of SRC subtypes into prognosis, clinical management, and intervention strategies may optimize the recovery from SRC. Electronic supplementary material The online version of this article (10.1007/s40279-020-01321-9) contains supplementary material, which is available to authorized users.
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11
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Oldham JR, Meehan WP, Howell DR. Impaired eye tracking is associated with symptom severity but not dynamic postural control in adolescents following concussion. JOURNAL OF SPORT AND HEALTH SCIENCE 2021; 10:138-144. [PMID: 33130092 PMCID: PMC7987563 DOI: 10.1016/j.jshs.2020.10.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/20/2020] [Accepted: 09/18/2020] [Indexed: 06/11/2023]
Abstract
PURPOSE The purpose of the study was to (1) examine the relationship between self-reported symptoms and concussion-related eye tracking impairments, and (2) compare gait performance between (a) adolescents with a concussion who have normal eye tracking, (b) adolescents with a concussion who have abnormal eye tracking, and (c) healthy controls. METHODS A total of 30 concussed participants (age: 14.4 ± 2.2 years, mean ± SD, 50% female) and 30 controls (age: 14.2 ± 2.2 years, 47% female) completed eye tracking and gait assessments. The BOX score is a metric of pupillary disconjugacy, with scores <10 classified as normal and ≥10 abnormal. Symptoms were collected using the Post-Concussion Symptom Scale (PCSS), and gait speed was measured with triaxial inertial measurement units. We conducted a linear regression to examine the relationship between PCSS and BOX scores and a two-way mixed effects analysis of variance to examine the effect of group (abnormal BOX, normal BOX, and healthy control) on single- and dual-task gait speed. RESULTS There was a significant association between total PCSS score and BOX score in the concussion group (β = 0.16, p = 0.004, 95% confidence interval (95%CI): 0.06‒0.27), but not in the control group (β = 0.21, p = 0.08, 95%CI: -0.03 to 0.45). There were no significant associations between PCSS symptom profiles and BOX scores in the concussion or control groups. There were also no significant differences in single-task (Abnormal: 1.00 ± 0.14 m/s; Normal: 1.11 ± 0.21 m/s; Healthy: 1.14 ± 0.18 m/s; p = 0.08) or dual-task (Abnormal: 0.77 ± 0.15 m/s; Normal: 0.84 ± 0.21 m/s; Healthy: 0.90 ± 0.18 m/s; p = 0.16) gait speed. CONCLUSION The concussed group with impaired eye tracking reported higher total symptom severity, as well as worse symptom severity across the 5 PCSS symptom domain profiles. However, eye tracking deficits did not appear to be driven by any particular symptom domain. While not statistically significant, the slower gait speeds in those with abnormal BOX scores may still be clinically relevant since gait-related impairments may persist beyond clinical recovery.
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Affiliation(s)
- Jessie R Oldham
- The Micheli Center for Sports Injury Prevention, Waltham, MA 02453, USA; Division of Sports Medicine, Department of Orthopedics, Boston Children's Hospital, Boston, MA 02115, USA.
| | - William P Meehan
- The Micheli Center for Sports Injury Prevention, Waltham, MA 02453, USA; Division of Sports Medicine, Department of Orthopedics, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics and Orthopedics, Harvard Medical School, Boston, MA 02115, USA
| | - David R Howell
- Sports Medicine Center, Children's Hospital Colorado, Aurora, CO 80045, USA; Department of Orthopedics, University of Colorado School of Medicine, Aurora, CO 80045, USA
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12
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Feller CN, Goldenberg M, Asselin PD, Merchant-Borna K, Abar B, Jones CMC, Mannix R, Kawata K, Bazarian JJ. Classification of Comprehensive Neuro-Ophthalmologic Measures of Postacute Concussion. JAMA Netw Open 2021; 4:e210599. [PMID: 33656530 PMCID: PMC7930925 DOI: 10.1001/jamanetworkopen.2021.0599] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
IMPORTANCE Symptom-based methods of concussion diagnosis in contact sports result in underdiagnosis and repeated head injury exposure, increasing the risk of long-term disability. Measures of neuro-ophthalmologic (NO) function have the potential to serve as objective aids, but their diagnostic utility is unknown. OBJECTIVE To identify NO measures that accurately differentiate athletes with and without concussion. DESIGN, SETTING, AND PARTICIPANTS This cohort study was conducted among athletes with and without concussion who were aged 17 to 22 years between 2016 and 2017. Eye movements and cognitive function were measured a median of 19 days after injury among patients who had an injury meeting the study definition of concussion while playing a sport (retrospectively selected from a concussion clinic), then compared with a control group of participants without concussion (enrolled from 104 noncontact collegiate athlete volunteers without prior head injury). Data analysis was conducted from November 2019 through May 2020. EXPOSURE Concussion. MAIN OUTCOMES AND MEASURES Classification accuracy of clinically important discriminator eye-tracking (ET) metrics. Participants' eye movements were evaluated with a 12-minute ET procedure, yielding 42 metrics related to smooth pursuit eye movement (SPEM), saccades, dynamic visual acuity, and reaction time. Clinically important discriminator metrics were defined as those with significantly different group differences and area under the receiver operator characteristic curves (AUROCs) of at least 0.70. RESULTS A total of 34 participants with concussions (mean [SD] age, 19.7 [2.4] years; 20 [63%] men) and 54 participants without concussions (mean [SD] age, 20.8 [2.2] years; 31 [57%] men) completed the study. Six ET metrics (ie, simple reaction time, discriminate reaction time, discriminate visual reaction speed, choice visual reaction speed, and reaction time on 2 measures of dynamic visual acuity 2) were found to be clinically important; all were measures of reaction time, and none were related to SPEM. Combined, these 6 metrics had an AUROC of 0.90 (95% CI, 0.80-0.99), a sensitivity of 77.8%, and a specificity of 92.6%. The 6 metrics remained significant on sensitivity testing. CONCLUSIONS AND RELEVANCE In this study, ET measures of slowed visual reaction time had high classification accuracy for concussion. Accurate, objective measures of NO function have the potential to improve concussion recognition and reduce the disability associated with underdiagnosis.
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Affiliation(s)
- Christina N. Feller
- University of Rochester School of Medicine and Dentistry, Rochester, New York
- Medical College of Wisconsin, Milwaukee
| | | | - Patrick D. Asselin
- University of Rochester School of Medicine and Dentistry, Rochester, New York
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kian Merchant-Borna
- Department of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Beau Abar
- Department of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Courtney Marie Cora Jones
- Department of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Rebekah Mannix
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Keisuke Kawata
- Department of Kinesiology, Indiana University, Bloomington
| | - Jeffrey J. Bazarian
- Department of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York
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13
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Abstract
This article provides a summary of clinical assessment methods and nonpharmacologic rehabilitation techniques used for concussed patients. It describes concussion-relevant physical examination methods to identify underlying symptom generators. This approach allows practitioners to prescribe targeted rehabilitation therapies to treat postconcussion symptoms. Evidence-based rehabilitation approaches include cervical rehabilitation, vestibulo-ocular rehabilitation, and sub-symptom threshold aerobic exercise.
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14
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Maruta J, Mallott JM, Sulioti G, Ghajar J, Palacios EM, Mukherjee P. Concussion Disrupts Normal Brain White Matter Microstructural Symmetry. Front Neurol 2020; 11:548220. [PMID: 33262738 PMCID: PMC7688463 DOI: 10.3389/fneur.2020.548220] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 10/20/2020] [Indexed: 11/24/2022] Open
Abstract
Injuries and illnesses can alter the normal bilateral symmetry of the brain, and determining the extent of this disruption may be useful in characterizing the pathology. One way of quantifying brain symmetry is in terms of bilateral correlation of diffusion tensor metrics between homologous white matter tracts. With this approach, we hypothesized that the brains of patients with a concussion are more asymmetrical than those of healthy individuals without a history of a concussion. We scanned the brains of 35 normal individuals and 15 emergency department patients with a recent concussion. Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were determined for regions of interest (ROI) defined by a standard white-matter atlas that included 21 bilateral ROIs. For each ROI pair, bilateral correlation coefficients were calculated and compared between the two subject groups. A symmetry index, defined as the ratio between the difference and the sum of bilateral measures, was also calculated for each ROI pair and compared between the groups. We found that in normal subjects, the extent of symmetry varied among regions and individuals, and at least subtle forms of structural lateralization were common across regions. In patients, higher asymmetry was found overall as well as in the corticospinal tract specifically. Results indicate that a concussion can manifest in brain asymmetry that deviates from a normal state. The clinical utility of characterizing post-concussion pathology as abnormal brain asymmetry merits further exploration.
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Affiliation(s)
- Jun Maruta
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Brain Trauma Foundation, New York, NY, United States
| | - Jacob M Mallott
- Department Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Gary Sulioti
- Department Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.,Duke University School of Medicine, Durham, NC, United States
| | - Jamshid Ghajar
- Brain Trauma Foundation, New York, NY, United States.,Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States
| | - Eva M Palacios
- Department Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Pratik Mukherjee
- Department Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States
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15
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Morris A, Cassidy B, Pelo R, Fino NF, Presson AP, Cushman DM, Monson NE, Dibble LE, Fino PC. Reactive Postural Responses After Mild Traumatic Brain Injury and Their Association With Musculoskeletal Injury Risk in Collegiate Athletes: A Study Protocol. Front Sports Act Living 2020; 2:574848. [PMID: 33345138 PMCID: PMC7739642 DOI: 10.3389/fspor.2020.574848] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 09/11/2020] [Indexed: 11/17/2022] Open
Abstract
Background: Deficits in neuromuscular control are widely reported after mild traumatic brain injury (mTBI). These deficits are speculated to contribute to the increased rate of musculoskeletal injuries after mTBI. However, a concrete mechanistic connection between post-mTBI deficits and musculoskeletal injuries has yet to be established. While impairments in some domains of balance control have been linked to musculoskeletal injuries, reactive balance control has received little attention in the mTBI literature, despite the inherent demand of balance recovery in athletics. Our central hypothesis is that the high rate of musculoskeletal injuries after mTBI is in part due to impaired reactive balance control necessary for balance recovery. The purpose of this study is to (1) characterize reactive postural responses to recover balance in athletes with recent mTBI compared to healthy control subjects, (2) determine the extent to which reactive postural responses remain impaired in athletes with recent mTBI who have been cleared to return to play, and (3) determine the relationship between reactive postural responses and acute lower extremity musculoskeletal injuries in a general sample of healthy collegiate athletes. Methods: This two-phase study will take place at the University of Utah in coordination with the University of Utah Athletics Department. Phase 1 will evaluate student-athletes who have sustained mTBI and teammate-matched controls who meet all the inclusion criteria. The participants will be assessed at multiple time points along the return-to-play progress of the athlete with mTBI. The primary outcome will be measures of reactive postural response derived from wearable sensors during the Push and Release (P&R) test. In phase 2, student-athletes will undergo a baseline assessment of postural responses. Acute lower extremity musculoskeletal injuries for each participant will be prospectively tracked for 1 year from the date of first team activity. The primary outcomes will be the measures of reactive postural responses and the time from first team activity to lower extremity injury. Discussion: Results from this study will further our understanding of changes in balance control, across all domains, after mTBI and identify the extent to which postural responses can be used to assess injury risk in collegiate athletes.
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Affiliation(s)
- Amanda Morris
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, United States
| | - Benjamin Cassidy
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, United States
| | - Ryan Pelo
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, United States.,Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, United States
| | - Nora F Fino
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
| | - Angela P Presson
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
| | - Daniel M Cushman
- Division of Physical Medicine and Rehabilitation, University of Utah School of Medicine, Salt Lake City, UT, United States
| | - Nicholas E Monson
- Department of Orthopaedic Surgery Operations, University of Utah School of Medicine, Salt Lake City, UT, United States
| | - Leland E Dibble
- Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, United States
| | - Peter C Fino
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, United States
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16
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Boo M, Matheson G, Lumba-Brown A. Smooth Pursuit Eye-Movement Abnormalities Associated With Cervical Spine Whiplash: A Scientific Review and Case Report. Cureus 2020; 12:e9872. [PMID: 32963912 PMCID: PMC7500708 DOI: 10.7759/cureus.9872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Whiplash injuries may disrupt normal cervical afferent and efferent projections. Oculomotor abnormalities have been reported in chronic whiplash cases, but there is limited knowledge of their presence in acute whiplash and how acute assessment may target early intervention. We present a literature review and case study of a 22-year-old female presenting with an acute concussion and whiplash secondary to a high-speed motor vehicle collision. Smooth pursuit eye-movement abnormalities were observed in relative cervical rotation in the setting of clinical examination of cervicogenic dysfunction. Treatment was focused on cervical manual therapy. While concussive symptoms resolved after seven days, eye-tracking showed a mild improvement and continued to exist in relationship with cervicogenic dysfunction. After completing physical therapy twice weekly for two weeks and in-home exercises, clinical signs and symptoms of whiplash-associated cervicogenic dysfunction and abnormal smooth pursuit eye-movement resolved across all cervical positions. This case highlights the need for ocular-motor impairment assessment following acute whiplash, specifically during cervical rotation. Early intervention should focus on cervical manual therapy and may be important in supporting altered cervical afferents causing oculomotor dysfunctions following acute whiplash.
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Affiliation(s)
- Marie Boo
- Sports Medicine, Stanford University, Stanford, USA
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17
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Suleiman A, Lithgow BJ, Anssari N, Ashiri M, Moussavi Z, Mansouri B. Correlation between Ocular and Vestibular Abnormalities and Convergence Insufficiency in Post-Concussion Syndrome. Neuroophthalmology 2020; 44:157-167. [PMID: 32395167 PMCID: PMC7202416 DOI: 10.1080/01658107.2019.1653325] [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] [Received: 05/17/2019] [Revised: 07/23/2019] [Accepted: 08/05/2019] [Indexed: 12/23/2022] Open
Abstract
The vestibular and oculomotor/visual systems are commonly affected in post-concussion syndrome (PCS). Convergence insufficiency (CI) is the most common ocular abnormality after concussion. Electrovestibulography (EVestG) is a relatively new non-invasive method that measures the peripheral vestibular responses; it has shown abnormal vestibular responses in a PCS. Here, we report the results of investigating the correlation between the vestibular and oculomotor systems in PCS population using EVestG and CI measures. Forty-eight PCS patients were tested using EVestG, out of which 20 also completed the Rivermead post-concussion questionnaire (RPQ). An EVestG feature (Field Potential (FP)-area) was extracted from the stationary part of the EVestG signals. A neuro-ophthalmologist (author BM) measured participants' CI at near vision using cross-cover examination and a prism-bar. Results indicate: (1) vestibular abnormality (i.e. FP-area) and CI values are significantly correlated in PCS (R = 0.68, p < .01), and (2) there are significant correlations between severity of concussion (i.e. RPQ3) and CI (R = 0.70, p < .01) and between RPQ3 and FP-area (R = -0.56, p < .02). To the best of our knowledge, this is the first study that objectively demonstrates a significant positive correlation between the CI and vestibular systems' abnormality. These findings are scientifically important as they help localise the pathology of PCS, and are clinically valuable as they help physicians in their decision-making about PCS diagnosis and rehabilitation strategies.
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Affiliation(s)
- Abdelbaset Suleiman
- Biomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada
| | - Brian J. Lithgow
- Biomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada
- Monash Alfred Psychiatry Research Center, Monash University, Melbourne, Australia
| | - Neda Anssari
- Department of Internal Medicine, Section of Neurology, University of Manitoba, Winnipeg, MB, Canada
- Department of Internal Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
| | - Mehrangiz Ashiri
- Biomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada
| | - Zahra Moussavi
- Biomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada
| | - Behzad Mansouri
- Biomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada
- Department of Internal Medicine, Section of Neurology, University of Manitoba, Winnipeg, MB, Canada
- Department of Ophthalmology, University of Manitoba, Winnipeg, MB, Canada
- iScope Concussion and Pain Clinic, Toronto, ON, Canada
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18
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Stuart S, Parrington L, Martini D, Peterka R, Chesnutt J, King L. The Measurement of Eye Movements in Mild Traumatic Brain Injury: A Structured Review of an Emerging Area. Front Sports Act Living 2020; 2:5. [PMID: 33345000 PMCID: PMC7739790 DOI: 10.3389/fspor.2020.00005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 01/08/2020] [Indexed: 11/13/2022] Open
Abstract
Mild traumatic brain injury (mTBI), or concussion, occurs following a direct or indirect force to the head that causes a change in brain function. Many neurological signs and symptoms of mTBI can be subtle and transient, and some can persist beyond the usual recovery timeframe, such as balance, cognitive or sensory disturbance that may pre-dispose to further injury in the future. There is currently no accepted definition or diagnostic criteria for mTBI and therefore no single assessment has been developed or accepted as being able to identify those with an mTBI. Eye-movement assessment may be useful, as specific eye-movements and their metrics can be attributed to specific brain regions or functions, and eye-movement involves a multitude of brain regions. Recently, research has focused on quantitative eye-movement assessments using eye-tracking technology for diagnosis and monitoring symptoms of an mTBI. However, the approaches taken to objectively measure eye-movements varies with respect to instrumentation, protocols and recognition of factors that may influence results, such as cognitive function or basic visual function. This review aimed to examine previous work that has measured eye-movements within those with mTBI to inform the development of robust or standardized testing protocols. Medline/PubMed, CINAHL, PsychInfo and Scopus databases were searched. Twenty-two articles met inclusion/exclusion criteria and were reviewed, which examined saccades, smooth pursuits, fixations and nystagmus in mTBI compared to controls. Current methodologies for data collection, analysis and interpretation from eye-tracking technology in individuals following an mTBI are discussed. In brief, a wide range of eye-movement instruments and outcome measures were reported, but validity and reliability of devices and metrics were insufficiently reported across studies. Interpretation of outcomes was complicated by poor study reporting of demographics, mTBI-related features (e.g., time since injury), and few studies considered the influence that cognitive or visual functions may have on eye-movements. The reviewed evidence suggests that eye-movements are impaired in mTBI, but future research is required to accurately and robustly establish findings. Standardization and reporting of eye-movement instruments, data collection procedures, processing algorithms and analysis methods are required. Recommendations also include comprehensive reporting of demographics, mTBI-related features, and confounding variables.
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Affiliation(s)
- Samuel Stuart
- Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, United Kingdom
- Department of Neurology, Oregon Health and Science University, Portland, OR, United States
- Veterans Affairs Portland Health Care System, Portland, OR, United States
| | - Lucy Parrington
- Department of Neurology, Oregon Health and Science University, Portland, OR, United States
- Veterans Affairs Portland Health Care System, Portland, OR, United States
| | - Douglas Martini
- Department of Neurology, Oregon Health and Science University, Portland, OR, United States
- Veterans Affairs Portland Health Care System, Portland, OR, United States
| | - Robert Peterka
- Department of Neurology, Oregon Health and Science University, Portland, OR, United States
- Veterans Affairs Portland Health Care System, Portland, OR, United States
- National Center for Rehabilitative Auditory Research, Veterans Affairs Portland Health Care System, Portland, OR, United States
| | - James Chesnutt
- Department of Neurology, Oregon Health and Science University, Portland, OR, United States
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, United States
- Orthopaedics and Rehabilitation, Oregon Health & Science University, Portland, OR, United States
| | - Laurie King
- Department of Neurology, Oregon Health and Science University, Portland, OR, United States
- Veterans Affairs Portland Health Care System, Portland, OR, United States
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19
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Mallott JM, Palacios EM, Maruta J, Ghajar J, Mukherjee P. Disrupted White Matter Microstructure of the Cerebellar Peduncles in Scholastic Athletes After Concussion. Front Neurol 2019; 10:518. [PMID: 31156545 PMCID: PMC6530417 DOI: 10.3389/fneur.2019.00518] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 05/01/2019] [Indexed: 01/18/2023] Open
Abstract
Concussion, or mild traumatic brain injury (mTBI), is a major public health concern, linked with persistent post-concussive syndrome, and chronic traumatic encephalopathy. At present, standard clinical imaging fails to reliably detect traumatic axonal injury associated with concussion and post-concussive symptoms. Diffusion tensor imaging (DTI) is an MR imaging technique that is sensitive to changes in white matter microstructure. Prior studies using DTI did not jointly investigate white matter microstructure in athletes, a population at high risk for concussive and subconcussive head traumas, with those in typical emergency room (ER) patients. In this study, we determine DTI scalar metrics in both ER patients and scholastic athletes who suffered concussions and compared them to those in age-matched healthy controls. In the early subacute post-concussion period, athletes demonstrated an elevated rate of regional decreases in axial diffusivity (AD) compared to controls. These regional decreases of AD were especially pronounced in the cerebellar peduncles, and were more frequent in athletes compared to the ER patient sample. The group differences may indicate differences in the mechanisms of the concussive impacts as well as possible compound effects of cumulative subconcussive impacts in athletes. The prevalence of white matter abnormality in cerebellar tracts lends credence to the hypothesis that post-concussive symptoms are caused by shearing of axons within an attention network mediated by the cerebellum, and warrant further study of the correlation between cerebellar DTI findings and clinical, neurocognitive, oculomotor, and vestibular outcomes in mTBI patients.
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Affiliation(s)
- Jacob M. Mallott
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Eva M. Palacios
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Jun Maruta
- Departments of Neurology and Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Brain Trauma Foundation, New York, NY, United States
| | - Jamshid Ghajar
- Brain Trauma Foundation, New York, NY, United States
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States
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20
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Maruta J, Lumba-Brown A, Ghajar J. Concussion Subtype Identification With the Rivermead Post-concussion Symptoms Questionnaire. Front Neurol 2018; 9:1034. [PMID: 30559709 PMCID: PMC6287109 DOI: 10.3389/fneur.2018.01034] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 11/16/2018] [Indexed: 11/21/2022] Open
Abstract
Classifying concussion in key subtypes according to presenting symptomatology at an early post-injury stage is an emerging approach that may allow prediction of clinical trajectories and delivery of targeted treatments. The Rivermead Post-concussion Symptoms Questionnaire (RPQ) is a simple, freely available, and widely used tool for assessment of the presence and severity of various post-concussion symptoms. We aimed to probe the prevalence among athletes of symptom classes associated with identified concussion phenotypes using the RPQ at baseline and acutely after a concussion. Participants of organized sports aged 12–30 years were baseline-assessed with the expectation that some would experience a concussion during the study period. Concussed athletes were re-assessed within 2 weeks of their injuries. The RPQ was supplemented with three specific questions and reworded for baseline assessment. A binomial test was used to contrast the prevalence of an attribute in the concussed cohort against the probability established by the baseline observation. Three thousand and eighty-eight athletes were baseline-assessed and eighty-nine were re-assessed post-concussion. All concussed athletes endorsed having some elevated symptoms in the RPQ, and such endorsements were more prevalent than those among normal athletes. Moderate-to-severe post-concussion symptoms of specific classes tended to be endorsed with few additional symptoms of other classes of similar intensities. Elevated symptoms detected with the RPQ within as short as 2 weeks after a concussion may help delineate patients' clinical subtypes and guide their treatment. Further refinement of symptom questionnaires and use of objective measures will be needed to properly populate the concussion subtype classification.
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Affiliation(s)
- Jun Maruta
- Brain Trauma Foundation, New York, NY, United States.,Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States.,Department of Rehabilitation and Human Performance, New York, NY, United States
| | - Angela Lumba-Brown
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Jamshid Ghajar
- Brain Trauma Foundation, New York, NY, United States.,Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States
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