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Kwiatkowski A, Weidler C, Habel U, Coverdale NS, Hirad AA, Manning KY, Rauscher A, Bazarian JJ, Cook DJ, Li DKB, Mahon BZ, Menon RS, Taunton J, Reetz K, Romanzetti S, Huppertz C. Uncovering the hidden effects of repetitive subconcussive head impact exposure: A mega-analytic approach characterizing seasonal brain microstructural changes in contact and collision sports athletes. Hum Brain Mapp 2024; 45:e26811. [PMID: 39185683 PMCID: PMC11345636 DOI: 10.1002/hbm.26811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 07/16/2024] [Accepted: 07/20/2024] [Indexed: 08/27/2024] Open
Abstract
Repetitive subconcussive head impacts (RSHI) are believed to induce sub-clinical brain injuries, potentially resulting in cumulative, long-term brain alterations. This study explores patterns of longitudinal brain white matter changes across sports with RSHI-exposure. A systematic literature search identified 22 datasets with longitudinal diffusion magnetic resonance imaging data. Four datasets were centrally pooled to perform uniform quality control and data preprocessing. A total of 131 non-concussed active athletes (American football, rugby, ice hockey; mean age: 20.06 ± 2.06 years) with baseline and post-season data were included. Nonparametric permutation inference (one-sample t tests, one-sided) was applied to analyze the difference maps of multiple diffusion parameters. The analyses revealed widespread lateralized patterns of sports-season-related increases and decreases in mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) across spatially distinct white matter regions. Increases were shown across one MD-cluster (3195 voxels; mean change: 2.34%), one AD-cluster (5740 voxels; mean change: 1.75%), and three RD-clusters (817 total voxels; mean change: 3.11 to 4.70%). Decreases were shown across two MD-clusters (1637 total voxels; mean change: -1.43 to -1.48%), two RD-clusters (1240 total voxels; mean change: -1.92 to -1.93%), and one AD-cluster (724 voxels; mean change: -1.28%). The resulting pattern implies the presence of strain-induced injuries in central and brainstem regions, with comparatively milder physical exercise-induced effects across frontal and superior regions of the left hemisphere, which need further investigation. This article highlights key considerations that need to be addressed in future work to enhance our understanding of the nature of observed white matter changes, improve the comparability of findings across studies, and promote data pooling initiatives to allow more detailed investigations (e.g., exploring sex- and sport-specific effects).
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Affiliation(s)
- Anna Kwiatkowski
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical FacultyRWTH Aachen UniversityAachenGermany
| | - Carmen Weidler
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical FacultyRWTH Aachen UniversityAachenGermany
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical FacultyRWTH Aachen UniversityAachenGermany
- Institute of Neuroscience and Medicine 10, Research Centre JülichJülichGermany
- JARA‐BRAIN Institute Brain Structure Function Relationship, Research Center Jülich and RWTH Aachen UniversityAachenGermany
| | | | - Adnan A. Hirad
- Department of SurgeryUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Department of NeuroscienceUniversity of Rochester Medical CenterRochesterNew YorkUSA
- Del Monte Neuroscience Institute, University of RochesterNew YorkUSA
| | - Kathryn Y. Manning
- Department of RadiologyUniversity of Calgary and Alberta Children's Hospital Research InstituteCalgaryAlbertaCanada
| | - Alexander Rauscher
- Department of Radiology, Faculty of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- Department of Pediatrics, Division of NeurologyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- Department of Physics and AstronomyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- UBC MRI Research Centre, University of British ColumbiaVancouverBritish ColumbiaCanada
| | - Jeffrey J. Bazarian
- Department of Emergency MedicineUniversity of Rochester School of Medicine and DentistryRochesterNew YorkUSA
| | - Douglas J. Cook
- Centre for Neuroscience Studies, Queen's UniversityKingstonOntarioCanada
- Division of Neurosurgery, Department of SurgeryQueen's UniversityKingstonOntarioCanada
| | - David K. B. Li
- Department of Radiology, Faculty of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Bradford Z. Mahon
- Department of PsychologyCarnegie Mellon UniversityPittsburghPennsylvaniaUSA
- Carnegie Mellon Neuroscience InstitutePittsburghPennsylvaniaUSA
- Department of NeurosurgeryUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Ravi S. Menon
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western OntarioLondonOntarioCanada
| | - Jack Taunton
- Allan McGavin Sports Medicine Centre, Faculty of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Kathrin Reetz
- Department of Neurology, Medical FacultyRWTH Aachen UniversityAachenGermany
- JARA‐BRAIN Institute Molecular Neuroscience and Neuroimaging, Research Center Jülich and RWTH Aachen UniversityAachenGermany
| | - Sandro Romanzetti
- Department of Neurology, Medical FacultyRWTH Aachen UniversityAachenGermany
- JARA‐BRAIN Institute Molecular Neuroscience and Neuroimaging, Research Center Jülich and RWTH Aachen UniversityAachenGermany
| | - Charlotte Huppertz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical FacultyRWTH Aachen UniversityAachenGermany
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Yang HC, Nguyen T, Naugle KM, White FA, Wu YC. White matter microstructural changes in post-traumatic headache: A diffusion tensor imaging (DTI) study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.05.24310944. [PMID: 39211879 PMCID: PMC11361253 DOI: 10.1101/2024.08.05.24310944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Introduction Post-traumatic headache (PTH) is a common consequence of mild traumatic brain injury (mTBI) that can severely impact an individual's quality of life and rehabilitation. However, the underlying neuropathogenesis mechanisms contributing to PTH are still poorly understood. This study utilized diffusion tensor imaging (DTI) to detect microstructural alterations in the brains of mTBI participants with or at risk of developing PTH. Method This study investigated associations between DTI metrics 1-month postinjury and pain sensitivity, as well as psychological assessments 6-months postinjury to identify differences between mTBI (n = 12) and healthy controls (HC; n = 10). MRI scans, including T1-weighted anatomical imaging and DTI were acquired at 1-month postinjury. Pain sensitivity assays included quantitative sensory testing and psychological assessment questionnaires at 1-month and 6-months postinjury. Results Significant aberrations of mean axial diffusivity in the forceps major were observed in mTBI relative to HCs at 1-month postinjury (p =0.02). Within the mTBI group, DTI metrics at 1-month postinjury were significantly associated (p's < 0.05) with pain-related measures and psychological outcomes at 6-month postinjury in several white matter tracts (right sagittal stratum, left anterior thalamic radiation, left corticospinal tract, left insula, left superior longitudinal fasciculus). Notably, the associations between DTI metrics at 1-month postinjury and pain-related measures at 6-month postinjury showed significant group differences in the right sagittal stratum (p's < 0.01), white matter tract in left insula (p < 0.04), and left superior longitudinal fasciculus (p's < 0.05). Conclusion This study suggests that "Post-Traumatic Stress Disorder for DSM-5" and "Center for Epidemiological Studies-Depression Scale" are the most sensitive psychological measures to early microstructural changes after mTBI, and that the DTI metrics are predictive of pain and psychological measures in mTBI. Together, these results suggest that white matter microstructure plays an important role in the PTH following mTBI.
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Urbanik A, Guz W, Brożyna M, Ostrogórska M. Changes in the central nervous system in football players: an MRI study. Acta Radiol 2024; 65:967-974. [PMID: 38767036 DOI: 10.1177/02841851241248410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
BACKGROUND Football (soccer) is the world's most popular team sport. PURPOSE To comprehensively examine the brain in football (soccer) players, with the use of magnetic resonance imaging (MRI) techniques. MATERIAL AND METHODS The study involved 65 football players and 62 controls. The MR examinations were performed using MR 1.5-T system (Optima MR 360; GE Medical Systems). The examinations were carried out in the 3D Bravo, CUBE, FSEpropeller, and diffusion-weighted imaging (DWI) sequences. The 1HMRS signal was obtained from the volume of interest in the frontal and occipital lobes on both sides. RESULTS The present study, based on structural MRI, shows some changes in the brains of the group of football players. The findings show asymmetry of the ventricular system in four football players, arachnoid cysts in the parieto-occipital region, and pineal cysts. NAA/Cr concentration in the right frontal lobe was lower in the football players than in the controls, and the Glx/Cr concentration in the right occipital lobe was higher. The apparent diffusion coefficient value is lower in football players in the occipital lobes. CONCLUSION Playing football can cause measurable changes in the brain, known to occur in patients diagnosed with traumatic brain injury. The present findings fill the gap in the literature by contributing evidence showing that playing football may lead to changes in the brain, without clinical symptoms of concussion.
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Affiliation(s)
- Andrzej Urbanik
- Department of Radiology, Collegium Medicum, Jagiellonian University, Krakow, Poland
| | - Wiesław Guz
- Institute of Medical Sciences, College of Medical Sciences, University of Rzeszów, Rzeszów, Poland
| | - Maciej Brożyna
- Institute of Physical Culture Sciences, College of Medical Sciences, University of Rzeszów, Rzeszów, Poland
| | - Monika Ostrogórska
- Department of Radiology, Collegium Medicum, Jagiellonian University, Krakow, Poland
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Chen SJ, Li SJ, Hong HM, Hwang HF, Lin MR. Effects of Age, Sex, and Postconcussive Symptoms on Domain-Specific Quality of Life a Year After Mild Traumatic Brain Injury. J Head Trauma Rehabil 2024; 39:E225-E236. [PMID: 38032833 DOI: 10.1097/htr.0000000000000916] [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]
Abstract
OBJECTIVE To identify the factors influencing longitudinal changes in patients' scores across 6 domains of the Quality of Life after Brain Injury (QOLIBRI) instrument 1 year after mild traumatic brain injury (mTBI). DESIGN This was a longitudinal cohort study. PARTICIPANTS AND SETTING Eligible patients with a new diagnosis of mTBI were recruited from the outpatient clinics of the neurosurgery departments of 3 teaching hospitals in Taipei City, Taiwan. In total, 672 patients participated in the baseline assessment. Postinjury follow-up was conducted at 6 and 12 months. MAIN OUTCOME MEASURE Six domains of the 37-item QOLIBRI: Cognition, Self, Daily Life and Autonomy, Social Relationships, Emotions, and Physical Problems. RESULTS Linear mixed-effects analyses revealed that, among patients younger than 60 years, the scores of the Cognition, Self, Daily Life and Autonomy, and Social Relationships domains significantly increased 6 months after injury; furthermore, their scores of the Cognition, Self, and Daily Life and Autonomy significantly increased 12 months after injury. By contrast, among patients 60 years and older, the scores of these domains reduced from baseline to 6 and 12 months. No significant sex-based difference was observed in the changes in scores of any QOLIBRI domain. At 6 and 12 months post-injury, the scores of the Cognition, Emotions, and Physical Problems domains were significantly higher for patients with postconcussive symptoms than for those without these symptoms. CONCLUSIONS Although multiple characteristics of patients significantly affected their baseline scores on the 6 domains of the QOLIBRI, only age and postconcussive symptoms were significantly associated with longitudinal changes in their scores 6 and 12 months after mTBI.
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Affiliation(s)
- Sy-Jou Chen
- Author Affiliations: Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan (Dr Chen); Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan (Drs Chen and Lin); Departments of Emergency Medicine (Dr Li) and Nursing (Ms Hong), Taipei Medical University Hospital, Taipei, Taiwan; Department of Nursing, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan (Dr Hwang); and Programs in Medical Neuroscience, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan (Dr Lin)
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Kim S, Ollinger J, Song C, Raiciulescu S, Seenivasan S, Wolfgang A, Kim H, Werner JK, Yeh PH. White Matter Alterations in Military Service Members With Remote Mild Traumatic Brain Injury. JAMA Netw Open 2024; 7:e248121. [PMID: 38635266 PMCID: PMC11161843 DOI: 10.1001/jamanetworkopen.2024.8121] [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: 10/29/2023] [Accepted: 02/25/2024] [Indexed: 04/19/2024] Open
Abstract
Importance Mild traumatic brain injury (mTBI) is the signature injury experienced by military service members and is associated with poor neuropsychiatric outcomes. Yet, there is a lack of reliable clinical tools for mTBI diagnosis and prognosis. Objective To examine the white matter microstructure and neuropsychiatric outcomes of service members with a remote history of mTBI (ie, mTBI that occurred over 2 years ago) using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Design, Setting, and Participants This case-control study examined 98 male service members enrolled in a study at the National Intrepid Center of Excellence. Eligible participants were active duty status or able to enroll in the Defense Enrollment Eligibility Reporting system, ages 18 to 60 years, and had a remote history of mTBI; controls were matched by age. Exposures Remote history of mTBI. Main Outcomes and Measures White matter microstructure was assessed using a region-of-interest approach of skeletonized diffusion images, including DTI (fractional anisotropy, mean diffusivity, radial diffusivity and axial diffusivity) and NODDI (orientation dispersion index [ODI], isotropic volume fraction, intra-cellular volume fraction). Neuropsychiatric outcomes associated with posttraumatic stress disorder (PTSD) and postconcussion syndrome were assessed. Results A total of 65 male patients with a remote history of mTBI (mean [SD] age, 40.5 [5.0] years) and 33 age-matched male controls (mean [SD] age, 38.9 [5.6] years) were included in analysis. Compared with the control cohort, the 65 service members with mTBI presented with significantly more severe PTSD-like symptoms (mean [SD] PTSD CheckList-Civilian [PCL-C] version scores: control, 19.0 [3.8] vs mTBI, 41.2 [11.6]; P < .001). DTI and NODDI metrics were altered in the mTBI group compared with the control, including intra-cellular volume fraction of the right cortico-spinal tract (β = -0.029, Cohen d = 0.66; P < .001), ODI of the left posterior thalamic radiation (β = -0.006, Cohen d = 0.55; P < .001), and ODI of the left uncinate fasciculus (β = 0.013, Cohen d = 0.61; P < .001). In service members with mTBI, fractional anisotropy of the left uncinate fasciculus was associated with postconcussion syndrome (β = 5.4 × 10-3; P = .003), isotropic volume fraction of the genu of the corpus callosum with PCL-C (β = 4.3 × 10-4; P = .01), and ODI of the left fornix and stria terminalis with PCL-C avoidance scores (β = 1.2 × 10-3; P = .02). Conclusions and Relevance In this case-control study of military-related mTBI, the results suggest that advanced magnetic resonance imaging techniques using NODDI can reveal white matter microstructural alterations associated with neuropsychiatric symptoms in the chronic phase of mTBI. Diffusion trends observed throughout widespread white matter regions-of-interest may reflect mechanisms of neurodegeneration as well as postinjury tissue scarring and reorganization.
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Affiliation(s)
- Sharon Kim
- Program in Neuroscience, Uniformed Services University of Health Sciences, Bethesda, Maryland
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - John Ollinger
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Chihwa Song
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Sorana Raiciulescu
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - Srija Seenivasan
- Program in Neuroscience, Uniformed Services University of Health Sciences, Bethesda, Maryland
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - Aaron Wolfgang
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Directorate of Behavioral Health, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Hosung Kim
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles
| | - J. Kent Werner
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
- Department of Neurology, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Ping-Hong Yeh
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
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Ott S, Redell J, Cheema S, Schatz P, Becker E. Progesterone Levels in Adolescent Female Athletes May Contribute to Decreased Cognitive Performance During Acute Phase of Sports-Related Concussion. Dev Neuropsychol 2024; 49:86-97. [PMID: 38314752 DOI: 10.1080/87565641.2024.2309556] [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: 08/08/2023] [Accepted: 01/19/2024] [Indexed: 02/07/2024]
Abstract
Although many outcome studies pertaining to sports-related concussion exist, female athletes with concussion remain an understudied group. We examined whether neurocognitive performance in adolescent females with sports-related concussion (SRC) is related to menstrual cycle-related hormone levels measured at one-week post-concussion, one-month post-concussion, or both. Thirty-eight female athletes, ages 14-18, were matched into two groups: SRC or healthy control. Self-reported symptom scores were higher among concussed females in the luteal phase, when progesterone levels are highest. Results suggest that progesterone levels may contribute to a heightened experience of symptoms during the acute phase of SRC, providing further evidence of a possible link between progesterone and symptom scores following concussion.
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Affiliation(s)
- Summer Ott
- Health Science Center at Houston John P and Katherine G McGovern Medical School, The University of Texas
| | - John Redell
- Health Science Center at Houston John P and Katherine G McGovern Medical School, The University of Texas
| | - Sukhnandan Cheema
- Health Science Center at Houston John P and Katherine G McGovern Medical School, The University of Texas
| | - Philip Schatz
- College of Arts & Sciences, Department of Psychology, Saint Joseph's University, Philadelphia, Pennsylvania, USA
| | - Elizabeth Becker
- Department of Pyschology and Neuroscience, Lawrence University, Appleton, Wisconsin, USA
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Esopenko C, Sollmann N, Bonke EM, Wiegand TLT, Heinen F, de Souza NL, Breedlove KM, Shenton ME, Lin AP, Koerte IK. Current and Emerging Techniques in Neuroimaging of Sport-Related Concussion. J Clin Neurophysiol 2023; 40:398-407. [PMID: 36930218 PMCID: PMC10329721 DOI: 10.1097/wnp.0000000000000864] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
SUMMARY Sport-related concussion (SRC) affects an estimated 1.6 to 3.8 million Americans each year. Sport-related concussion results from biomechanical forces to the head or neck that lead to a broad range of neurologic symptoms and impaired cognitive function. Although most individuals recover within weeks, some develop chronic symptoms. The heterogeneity of both the clinical presentation and the underlying brain injury profile make SRC a challenging condition. Adding to this challenge, there is also a lack of objective and reliable biomarkers to support diagnosis, to inform clinical decision making, and to monitor recovery after SRC. In this review, the authors provide an overview of advanced neuroimaging techniques that provide the sensitivity needed to capture subtle changes in brain structure, metabolism, function, and perfusion after SRC. This is followed by a discussion of emerging neuroimaging techniques, as well as current efforts of international research consortia committed to the study of SRC. Finally, the authors emphasize the need for advanced multimodal neuroimaging to develop objective biomarkers that will inform targeted treatment strategies after SRC.
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Affiliation(s)
- Carrie Esopenko
- Department of Rehabilitation and Movement Sciences, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - Nico Sollmann
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Elena M. Bonke
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, Munich, Germany
| | - Tim L. T. Wiegand
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Felicitas Heinen
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
| | - Nicola L. de Souza
- School of Graduate Studies, Biomedical Sciences, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - Katherine M. Breedlove
- Center for Clinical Spectroscopy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Brockton Division, Brockton, MA, USA
| | - Alexander P. Lin
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Center for Clinical Spectroscopy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Inga K. Koerte
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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Brown O, Healey K, Fang Z, Zemek R, Smith A, Ledoux AA. Associations between psychological resilience and metrics of white matter microstructure in pediatric concussion. Hum Brain Mapp 2023. [PMID: 37126608 DOI: 10.1002/hbm.26321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 04/11/2023] [Accepted: 04/14/2023] [Indexed: 05/03/2023] Open
Abstract
This study investigated associations between psychological resilience and characteristics of white matter microstructure in pediatric concussion. This is a case control study and a planned substudy of a larger randomized controlled trial. Children with an acute concussion or orthopedic injury were recruited from the emergency department. Participants completed both the Connor-Davidson Resilience Scale 10 and an MRI at 72 h and 4-weeks post-injury. The association between resiliency and fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) at both timepoints were examined. We examined whether these associations were moderated by group. The association between resiliency captured at 72 h and diffusion tensor imaging metrics at 4 weeks was also investigated. Clusters were extracted using a significance threshold of threshold-free cluster enhancement corrected p < .05. A total of 66 children with concussion (median (IQR) age = 12.88 (IQR: 11.80-14.36); 47% female) and 29 children with orthopedic-injury (median (IQR) age = 12.49 (IQR: 11.18-14.01); 41% female) were included. A negative correlation was identified in the concussion group between 72 h resilience and 72 h FA. Meanwhile, positive correlations were identified in the concussion group with concussion between 72 h resilience and both 72 h MD and 72 h RD. These findings suggest that 72 h resilience is associated with white matter microstructure of the forceps minor, superior longitudinal fasciculus, and anterior thalamic radiation at 72 h post-concussion. Resilience seems to be associated with neural integrity only in the acute phase of concussion and thus may be considered when researching concussion recovery.
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Affiliation(s)
- Olivier Brown
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
| | - Katherine Healey
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
| | - Zhuo Fang
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
| | - Roger Zemek
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- Department of Pediatrics and Emergency Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Andra Smith
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
| | - Andrée-Anne Ledoux
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- School of Psychology, University of Ottawa, Ottawa, Ontario, Canada
- Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
- Department of Cellular Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada
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Wang Y, Bartels HM, Nelson LD. A Systematic Review of ASL Perfusion MRI in Mild TBI. Neuropsychol Rev 2023; 33:160-191. [PMID: 32808244 PMCID: PMC7889778 DOI: 10.1007/s11065-020-09451-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 08/06/2020] [Indexed: 01/06/2023]
Abstract
Mild traumatic brain injury (mTBI) is a major public health concern. Cerebrovascular alterations play a significant role in the evolution of injury sequelae and in the process of post-traumatic brain repair. Arterial spin labeling (ASL) is an advanced perfusion magnetic resonance imaging technique that permits noninvasive quantification of cerebral blood flow (CBF). This is the first systematic review of ASL research findings in patients with mTBI. Our approach followed the American Academy of Neurology (AAN) and PRISMA guidelines. We searched Ovid/MEDLINE, Web of Science, Scopus, and the Cochrane Index for relevant articles published as of February 20, 2020. Full-text results were combined into Rayyan software for further evaluation. Data extraction, including risk of bias ratings, was performed using American Academy of Neurology's four-tiered classification scheme. Twenty-three articles met inclusion criteria comprising data on up to 566 mTBI patients and 654 control subjects. Of the 23 studies, 18 reported some type of regional CBF abnormality in mTBI patients at rest or during a cognitive task, with more findings of decreased than increased CBF. The evidence supports the conclusion that mTBI likely causes ASL-derived CBF anomalies. However, synthesis of findings was challenging due to substantial methodological variations across studies and few studies with low risk of bias. Thus, larger-scale prospective cohort studies are needed to more definitively chart the course of CBF changes in humans after mTBI and to understand how individual difference factors contribute to post-injury CBF changes.
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Affiliation(s)
- Yang Wang
- Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.
| | - Hannah M Bartels
- Department of Neurosurgery, Medical College of Wisconsin, 8701 Watertown Plank Rd., Milwaukee, WI, 53226, USA
| | - Lindsay D Nelson
- Department of Neurosurgery, Medical College of Wisconsin, 8701 Watertown Plank Rd., Milwaukee, WI, 53226, USA
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Mustafi SM, Yang HC, Harezlak J, Meier TB, Brett BL, Giza CC, Goldman J, Guskiewicz KM, Mihalik JP, LaConte SM, Duma SM, Broglio SP, McCrea MA, McAllister TW, Wu YC. Effects of White-Matter Tract Length in Sport-Related Concussion: A Tractography Study from the NCAA-DoD CARE Consortium. J Neurotrauma 2022; 39:1495-1506. [PMID: 35730116 PMCID: PMC9689766 DOI: 10.1089/neu.2021.0239] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Sport-related concussion (SRC) is an important public health issue. White-matter alterations after SRC are widely studied by neuroimaging approaches, such as diffusion magnetic resonance imaging (MRI). Although the exact anatomical location of the alterations may differ, significant white-matter alterations are commonly observed in long fiber tracts, but are never proven. In the present study, we performed streamline tractography to characterize the association between tract length and white-matter microstructural alterations after SRC. Sixty-eight collegiate athletes diagnosed with acute concussion (24-48 h post-injury) and 64 matched contact-sport controls were included in this study. The athletes underwent diffusion tensor imaging (DTI) in 3.0 T MRI scanners across three study sites. DTI metrics were used for tract-based spatial statistics to map white-matter regions-of-interest (ROIs) with significant group differences. Whole-brain white-mater streamline tractography was performed to extract "affected" white-matter streamlines (i.e., streamlines passing through the identified ROIs). In the concussed athletes, streamline counts and DTI metrics of the affected white-matter fiber tracts were summarized and compared with unaffected white-matter tracts across tract length in the same participant. The affected white-matter tracts had a high streamline count at length of 80-100 mm and high length-adjusted affected ratio for streamline length longer than 80 mm. DTI mean diffusivity was higher in the affected streamlines longer than 100 mm with significant associations with the Brief Symptom Inventory score. Our findings suggest that long fibers in the brains of collegiate athletes are more vulnerable to acute SRC with higher mean diffusivity and a higher affected ratio compared with the whole distribution.
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Affiliation(s)
- Sourajit M. Mustafi
- Institute of Genetics, San Diego, California, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Ho-Ching Yang
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Jaroslaw Harezlak
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, Indiana, USA
| | - Timothy B. Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Benjamin L. Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Christopher C. Giza
- Department of Neurosurgery, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California, USA
- Division of Pediatric Neurology, Mattel Children's Hospital, University of California, Los Angeles, Los Angeles, California, USA
| | - Joshua Goldman
- Family Medicine, Ronald Reagan UCLA Medical Center, UCLA Health - Santa Monica Medical Center, Los Angeles, California, USA
| | - Kevin M. Guskiewicz
- Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center, Department of Exercise and Sport Science, University of North Carolina, at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jason P. Mihalik
- Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center, Department of Exercise and Sport Science, University of North Carolina, at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Stephen M. LaConte
- School of Biomedical Engineering and Sciences, Wake-Forest and Virginia Tech University, Blacksburg, Virginia, USA
- Virginia Tech Carilion Research Institute, Roanoke, Virginia, USA
| | - Stefan M. Duma
- School of Biomedical Engineering and Sciences, Wake-Forest and Virginia Tech University, Blacksburg, Virginia, USA
| | - Steven P. Broglio
- Michigan Concussion Center, School of Kinesiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Michael A. McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Thomas W. McAllister
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Yu-Chien Wu
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
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11
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Toman E, Hodgson S, Riley M, Welbury R, Di Pietro V, Belli A. Concussion in the UK: a contemporary narrative review. Trauma Surg Acute Care Open 2022; 7:e000929. [PMID: 36274785 PMCID: PMC9582316 DOI: 10.1136/tsaco-2022-000929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 09/03/2022] [Indexed: 11/18/2022] Open
Abstract
Concussion has been receiving an increasing amount of media exposure following several high-profile professional sports controversies and multimillion-dollar lawsuits. The potential life-changing sequalae of concussion and the rare, but devasting, second impact syndrome have also gained much attention. Despite this, our knowledge of the pathological processes involved is limited and often extrapolated from research into more severe brain injuries. As there is no objective diagnostic test for concussion. Relying on history and examination only, the diagnosis of concussion has become the rate-limiting step in widening research into the disease. Clinical study protocols therefore frequently exclude the most vulnerable groups of patients such as those with existing cognitive impairment, concurrent intoxication, mental health issues or learning difficulties. This up-to-date narrative review aims to summarize our current concussion knowledge and provides an insight into promising avenues for future research.
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Affiliation(s)
- Emma Toman
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK,Department of Neurosurgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Sam Hodgson
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Max Riley
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Richard Welbury
- School of Dentistry, University of Central Lancashire, Preston, UK
| | - Valentina Di Pietro
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK,NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Antonio Belli
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK,Department of Neurosurgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK,NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
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12
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Al-Husseini A, Gard A, Fransson PA, Tegner Y, Magnusson M, Marklund N, Tjernström F. Long-term postural control in elite athletes following mild traumatic brain injury. Front Neurol 2022; 13:906594. [PMID: 36172026 PMCID: PMC9511028 DOI: 10.3389/fneur.2022.906594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 08/15/2022] [Indexed: 12/02/2022] Open
Abstract
Background Traumas to the head and neck are common in sports and often affects otherwise healthy young individuals. Sports-related concussions (SRC), defined as a mild traumatic brain injury (mTBI), may inflict persistent neck and shoulder pain, and headache, but also more complex symptoms, such as imbalance, dizziness, and visual disturbances. These more complex symptoms are difficult to identify with standard health care diagnostic procedures. Objective To investigate postural control in a group of former elite athletes with persistent post-concussive symptoms (PPCS) at least 6 months after the incident. Method Postural control was examined using posturography during quiet stance and randomized balance perturbations with eyes open and eyes closed. Randomized balance perturbations were used to examine motor learning through sensorimotor adaptation. Force platform recordings were converted to reflect the energy used to maintain balance and spectrally categorized into total energy used, energy used for smooth corrective changes of posture (i.e., <0.1 Hz), and energy used for fast corrective movements to maintain balance (i.e., >0.1 Hz). Results The mTBI group included 20 (13 males, mean age 26.6 years) elite athletes with PPCS and the control group included 12 athletes (9 males, mean age 26.4 years) with no history of SRC. The mTBI group used significantly more energy during balance perturbations than controls: +143% total energy, p = 0.004; +122% low frequency energy, p = 0.007; and +162% high frequency energy, p = 0.004. The mTBI subjects also adapted less to the balance perturbations than controls in total (18% mTBI vs. 37% controls, p = 0.042), low frequency (24% mTBI vs. 42% controls, p = 0.046), and high frequency (6% mTBI vs. 28% controls, p = 0.040). The mTBI subjects used significantly more energy during quiet stance than controls: +128% total energy, p = 0.034; +136% low-frequency energy, p = 0.048; and +109% high-frequency energy, p = 0.015. Conclusion Athletes with previous mTBI and PPCS used more energy to stand compared to controls during balance perturbations and quiet stance and had diminished sensorimotor adaptation. Sports-related concussions are able to affect postural control and motor learning.
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Affiliation(s)
- Ali Al-Husseini
- Department of Clinical Sciences Lund, Neurosurgery, Skåne University Hospital, Lund University, Lund, Sweden
| | - Anna Gard
- Department of Clinical Sciences Lund, Neurosurgery, Skåne University Hospital, Lund University, Lund, Sweden
| | - Per-Anders Fransson
- Department of Clinical Sciences, Lund University, Lund, Sweden
- *Correspondence: Per-Anders Fransson
| | - Yelverton Tegner
- Department of Health Sciences, Luleå University of Technology, Luleå, Sweden
| | - Måns Magnusson
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Niklas Marklund
- Department of Clinical Sciences Lund, Neurosurgery, Skåne University Hospital, Lund University, Lund, Sweden
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13
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Schulze KJ, Robinson M, MacKenzie HM, Dickey JP. Association of Preexisting Mental Health Conditions With Increased Initial Symptom Count and Severity Score on SCAT5 When Assessing Concussion. Orthop J Sports Med 2022; 10:23259671221123581. [PMID: 36157090 PMCID: PMC9490471 DOI: 10.1177/23259671221123581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 06/09/2022] [Indexed: 11/28/2022] Open
Abstract
Background: Mental health conditions, such as depression, anxiety, and learning disabilities, are associated with symptoms that can overlap with those seen in persons with concussion. While concussion screening tools such as the Sport Concussion Assessment Tool–5th Edition (SCAT5) quantify the number of symptoms and symptom severity, it is not known whether these outcomes differ among individuals with concurrent mental health conditions compared with those without them. Purpose: To determine whether, during initial concussion assessment, individuals with a self-reported mental health condition have a significantly different number of self-reported concussion symptoms or symptom severity compared with those without a self-reported mental health condition (controls). Study Design: Cohort study; Level of evidence, 3. Methods: A retrospective chart review was performed on consecutive patients aged ≥13 years who underwent post-concussion assessment at the Fowler Kennedy Sport Medicine Clinic between May 2018 and March 2020 (N = 765). Most participants did not self-report a mental health condition (n = 606; 79.2%). Participants with a self-reported mental health condition (n = 159) were classified as having a learning disability (n = 14; 8.8%), anxiety (n = 62; 39.0%), depression (n = 20; 12.6%), or multiple conditions (≥2 conditions: n = 63; 39.6%). Each participant with a mental health condition was matched with 2 control participants (overall pool, n = 318) based on age, sex, student status, and sport-related risk. Mann-Whitney U tests were used to determine the statistical significance of differences between each subgroup and their matched controls for the self-reported number of concussion symptoms and symptom severity as measured using the SCAT5. Results: The anxiety and multiple-conditions subgroups had a significantly greater number of reported symptoms than their corresponding control subgroups (median, 17 vs 15 [P = .004] and 18 vs 14.5 [P < .001], respectively). Additionally, the SCAT5 symptom severity score was significantly greater in the anxiety and multiple-conditions subgroups than their corresponding controls (median, 49 vs 34.5 [P = .018] and 62 vs 32 [P < .001], respectively). Conclusion: During initial concussion assessment, both the number of concussion-related symptoms and the symptom severity were greater in study participants with anxiety and multiple mental health conditions than participants without these conditions.
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Affiliation(s)
| | - Michael Robinson
- Faculty of Health Science, Lawson Health Research Institute, Fowler Kennedy Sport Medicine Clinic, London, Ontario, Canada
| | - Heather M MacKenzie
- Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.,Parkwood Institute, St. Joseph's Health Care London, London, Ontario, Canada
| | - James P Dickey
- School of Kinesiology, Western University, London, Ontario, Canada
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14
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Abdelrahman HAF, Ubukata S, Ueda K, Fujimoto G, Oishi N, Aso T, Murai T. Combining Multiple Indices of Diffusion Tensor Imaging Can Better Differentiate Patients with Traumatic Brain Injury from Healthy Subjects. Neuropsychiatr Dis Treat 2022; 18:1801-1814. [PMID: 36039160 PMCID: PMC9419894 DOI: 10.2147/ndt.s354265] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 07/01/2022] [Indexed: 11/23/2022] Open
Abstract
Aim Diffuse axonal injury (DAI) is one of the most common pathological features of traumatic brain injury (TBI). Diffusion tensor imaging (DTI) indices can be used to identify and quantify white matter microstructural changes following DAI. Recently, many studies have used DTI with various machine learning approaches to predict white matter microstructural changes following TBI. The current study sought to examine whether our classification approach using multiple DTI indices in conjunction with machine learning is a useful tool for diagnosing/classifying TBI patients and healthy controls. Methods Participants were adult patients with chronic TBI (n = 26) with DAI pathology, and age- and sex-matched healthy controls (n = 26). DTI images were obtained from all participants. Tract-based spatial statistics analyses were applied to DTI images. Classification models were built using principal component analysis and support vector machines. Receiver operator characteristic curve analysis and area under the curve were used to assess the classification performance of the different classifiers. Results Tract-based spatial statistics revealed significantly decreased fractional anisotropy, as well as increased mean diffusivity, axial diffusivity, and radial diffusivity in patients with TBI compared with healthy controls (all p-values < 0.01). The principal component analysis and support vector machine-based machine learning classification using combined DTI indices classified patients with TBI and healthy controls with an accuracy of 90.5% with an area under the curve of 93 ± 0.09. Conclusion These results highlight the potential of our approach combining multiple DTI measures to identify patients with TBI.
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Affiliation(s)
| | - Shiho Ubukata
- Kyoto University Graduate School of Medicine-Medical Innovation Center, Kyoto, 606-8507, Japan
| | - Keita Ueda
- Kyoto University Graduate School of Medicine-Department of Psychiatry, Kyoto, 606-8507, Japan
| | - Gaku Fujimoto
- Kyoto University Graduate School of Medicine-Department of Psychiatry, Kyoto, 606-8507, Japan
| | - Naoya Oishi
- Kyoto University Graduate School of Medicine-Medical Innovation Center, Kyoto, 606-8507, Japan
| | - Toshihiko Aso
- Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Kobe, 650-0047, Japan
| | - Toshiya Murai
- Kyoto University Graduate School of Medicine-Department of Psychiatry, Kyoto, 606-8507, Japan
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15
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Mito R, Parker DM, Abbott DF, Makdissi M, Pedersen M, Jackson GD. White matter abnormalities characterize the acute stage of sports-related mild traumatic brain injury. Brain Commun 2022; 4:fcac208. [PMID: 36043140 PMCID: PMC9419063 DOI: 10.1093/braincomms/fcac208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/29/2022] [Accepted: 08/14/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Sports-related concussion, a form of mild traumatic brain injury, is characterized by transient disturbances of brain function. There is increasing evidence that functional brain changes may be driven by subtle abnormalities in white matter microstructure, and diffusion MRI has been instrumental in demonstrating these white matter abnormalities in vivo. However, the reported location and direction of the observed white matter changes in mild traumatic brain injury are variable, likely attributable to the inherent limitations of the white matter models used. This cross-sectional study applies an advanced and robust technique known as fixel-based analysis to investigate fibre tract-specific abnormalities in professional Australian Football League players with a recent mild traumatic brain injury. We used the fixel-based analysis framework to identify common abnormalities found in specific fibre tracts in participants with an acute injury (≤12 days after injury; n = 14). We then assessed whether similar changes exist in subacute injury (>12 days and <3 months after injury; n = 15). The control group was 29 neurologically healthy control participants. We assessed microstructural differences in fibre density and fibre bundle morphology and performed whole-brain fixel-based analysis to compare groups. Subsequent tract-of-interest analyses were performed within five selected white matter tracts to investigate the relationship between the observed tract-specific abnormalities and days since injury and the relationship between these tract-specific changes with cognitive abnormalities. Our whole-brain analyses revealed significant increases in fibre density and bundle cross-section in the acute mild traumatic brain injury group when compared with controls. The acute mild traumatic brain injury group showed even more extensive differences when compared with the subacute injury group than with controls. The fibre structures affected in acute concussion included the corpus callosum, left prefrontal and left parahippocampal white matter. The fibre density and cross-sectional increases were independent of time since injury in the acute injury group, and were not associated with cognitive deficits. Overall, this study demonstrates that acute mild traumatic brain injury is characterized by specific white matter abnormalities, which are compatible with tract-specific cytotoxic oedema. These potential oedematous changes were absent in our subacute mild traumatic brain injury participants, suggesting that they may normalize within 12 days after injury, although subtle abnormalities may persist in the subacute stage. Future longitudinal studies are needed to elucidate individualized recovery after brain injury.
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Affiliation(s)
- Remika Mito
- Florey Institute of Neuroscience and Mental Health , Melbourne, VIC 3084 , Australia
| | - Donna M Parker
- Florey Institute of Neuroscience and Mental Health , Melbourne, VIC 3084 , Australia
| | - David F Abbott
- Florey Institute of Neuroscience and Mental Health , Melbourne, VIC 3084 , Australia
- Florey Department of Neuroscience and Mental Health, University of Melbourne , Melbourne, VIC 3052 , Australia
| | - Michael Makdissi
- Florey Institute of Neuroscience and Mental Health , Melbourne, VIC 3084 , Australia
- Olympic Park Sports Medicine Centre , Melbourne, VIC 3004 , Australia
| | - Mangor Pedersen
- Florey Department of Neuroscience and Mental Health, University of Melbourne , Melbourne, VIC 3052 , Australia
- Department of Psychology and Neuroscience, Auckland University of Technology (AUT) , Auckland 1010 , New Zealand
| | - Graeme D Jackson
- Florey Institute of Neuroscience and Mental Health , Melbourne, VIC 3084 , Australia
- Florey Department of Neuroscience and Mental Health, University of Melbourne , Melbourne, VIC 3052 , Australia
- Department of Neurology, Austin Health , Melbourne, VIC 3084 , Australia
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16
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Gard A, Al-Husseini A, Kornaropoulos EN, De Maio A, Tegner Y, Björkman-Burtscher I, Markenroth Bloch K, Nilsson M, Magnusson M, Marklund N. Post-Concussive Vestibular Dysfunction Is Related to Injury to the Inferior Vestibular Nerve. J Neurotrauma 2022; 39:829-840. [PMID: 35171721 PMCID: PMC9225415 DOI: 10.1089/neu.2021.0447] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Symptoms of vestibular dysfunction such as dizziness and vertigo are common after sports-related concussions (SRC) and associated with a worse outcome and a prolonged recovery. Vestibular dysfunction after SRC can be because of an impairment of the peripheral or central neural parts of the vestibular system. The aim of the present study was to establish the cause of vestibular impairment in athletes with SRC who have persisting post-concussive symptoms (PPCS). We recruited 42 participants-21 athletes with previous SRCs and PPCS ≥6 months and 21 healthy athletic age- and sex-matched controls-who underwent symptom rating, a detailed test battery of vestibular function and 7T magnetic resonance imaging with diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) of cerebellar white matter tracts, and T1-weighted imaging for cerebellar volumetrics. Vestibular dysfunction was observed in 13 SRC athletes and three controls (p = 0.001). Athletes with vestibular dysfunction reported more pronounced symptoms on the Dizziness Handicap Inventory (DHI; p < 0.001) and the Hospital Anxiety and Depression Scale (HADS; p < 0.001). No significant differences in DTI metrics were found, while in DKI two metrics were observed in the superior and/or inferior cerebellar tracts. Cerebellar gray and white matter volumes were similar in athletes with SRC and controls. Compared with controls, pathological video head impulse test results (vHIT; p < 0.001) and cervical vestibular evoked myogenic potentials (cVEMP; p = 0.002) were observed in athletes with SRC, indicating peripheral vestibular dysfunction and specifically suggesting injury to the inferior vestibular nerve. In athletes with persisting symptoms after SRC, vestibular dysfunction is associated with injury to the inferior vestibular nerve.
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Affiliation(s)
- Anna Gard
- Department of Clinical Sciences Lund, Lund University, Neurosurgery, Skåne University Hospital, Lund, Sweden
| | - Ali Al-Husseini
- Department of Clinical Sciences Lund, Lund University, Neurosurgery, Skåne University Hospital, Lund, Sweden
| | - Evgenios N. Kornaropoulos
- Department of Clinical Sciences Lund, Diagnostic Radiology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Alessandro De Maio
- Department of Radiological, Oncological and Pathological Sciences. Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Yelverton Tegner
- Department of Health Sciences, Luleå University of Technology, Luleå, Sweden
| | - Isabella Björkman-Burtscher
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Markus Nilsson
- Department of Clinical Sciences Lund, Diagnostic Radiology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Måns Magnusson
- Department of Clinical Sciences Lund, Otorhinolaryngology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Niklas Marklund
- Department of Clinical Sciences Lund, Lund University, Neurosurgery, Skåne University Hospital, Lund, Sweden
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17
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Crasta JE, Tucker RN, Robinson J, Chen HW, Crocetti D, Suskauer SJ. Altered white matter diffusivity and subtle motor function in a pilot cohort of adolescents with sports-related concussion. Brain Inj 2022; 36:393-400. [PMID: 35157539 PMCID: PMC9133076 DOI: 10.1080/02699052.2022.2034181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Background and objective: Adolescents with sports-related concussion (SRC) demonstrate acute and persistent deficits in subtle motor function. However, there is limited research examining related neurological underpinnings. This pilot study examined changes in motor-associated white matter pathways using diffusion tensor imaging (DTI) and their relationship with subtle motor function. Methods: Twelve adolescents with SRC (12–17 years) within two-weeks post-injury and 13 never-injured neurotypical peers completed DTI scanning. A subset of 6 adolescents with SRC returned for a follow-up visit post-medical clearance from concussion. Subtle motor function was evaluated using the Physical and Neurological Examination of Subtle Signs (PANESS). Results: Adolescents with SRC showed higher mean diffusivity (MD) of the superior corona radiata and greater subtle motor deficits compared to controls. Across all participants, greater subtle motor deficits were associated with higher (more atypical) MD of the superior corona radiata. Preliminary longitudinal analysis indicated reduction in fractional anisotropy of the corpus callosum but no change in the MD of the superior corona radiata from the initial visit to the follow-up visit post-medical clearance. Conclusions: These findings support preliminary evidence for a brain–behavior relationship between superior corona radiata microstructure and subtle motor deficits in adolescents with SRC that merits further investigation.
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Affiliation(s)
- Jewel E Crasta
- Occupational Therapy Division, The Ohio State University, Columbus, Ohio, USA
| | | | | | | | | | - Stacy J Suskauer
- Kennedy Krieger Institute, Baltimore, Maryland, USA.,Department of Physical Medicine and Rehabilitation and Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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18
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Robles DJ, Dharani A, Rostowsky KA, Chaudhari NN, Ngo V, Zhang F, O'Donnell LJ, Green L, Sheikh-Bahaei N, Chui HC, Irimia A. Older age, male sex, and cerebral microbleeds predict white matter loss after traumatic brain injury. GeroScience 2022; 44:83-102. [PMID: 34704219 PMCID: PMC8811069 DOI: 10.1007/s11357-021-00459-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 09/11/2021] [Indexed: 10/20/2022] Open
Abstract
Little is known on how mild traumatic brain injury affects white matter based on age at injury, sex, cerebral microbleeds, and time since injury. Here, we study the fractional anisotropy of white matter to study these effects in 109 participants aged 18-77 (46 females, age μ ± σ = 40 ± 17 years) imaged within [Formula: see text] 1 week and [Formula: see text] 6 months post-injury. Age is found to be linearly associated with white matter degradation, likely due not only to injury but also to cumulative effects of other pathologies and to their interactions with injury. Age is associated with mean anisotropy decreases in the corpus callosum, middle longitudinal fasciculi, inferior longitudinal and occipitofrontal fasciculi, and superficial frontal and temporal fasciculi. Over [Formula: see text] 6 months, the mean anisotropies of the corpus callosum, left superficial frontal fasciculi, and left corticospinal tract decrease significantly. Independently of other predictors, age and cerebral microbleeds contribute to anisotropy decrease in the callosal genu. Chronically, the white matter of commissural tracts, left superficial frontal fasciculi, and left corticospinal tract degrade appreciably, independently of other predictors. Our findings suggest that large commissural and intra-hemispheric structures are at high risk for post-traumatic degradation. This study identifies detailed neuroanatomic substrates consistent with brain injury patients' age-dependent deficits in information processing speed, interhemispheric communication, motor coordination, visual acuity, sensory integration, reading speed/comprehension, executive function, personality, and memory. We also identify neuroanatomic features underlying white matter degradation whose severity is associated with the male sex. Future studies should compare our findings to functional measures and other neurodegenerative processes.
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Affiliation(s)
- David J Robles
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Ammar Dharani
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Kenneth A Rostowsky
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Nikhil N Chaudhari
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Van Ngo
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Fan Zhang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Lauren J O'Donnell
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Lauren Green
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Nasim Sheikh-Bahaei
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Department of Radiology, Keck School of Medicine, University of Southern California, 1520 San Pablo Street, Los Angeles, CA, 90033, USA
| | - Helena C Chui
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Andrei Irimia
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA.
- Corwin D. Denney Research Center, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
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19
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Refined Analysis of Chronic White Matter Changes after Traumatic Brain Injury and Repeated Sports-Related Concussions: Of Use in Targeted Rehabilitative Approaches? J Clin Med 2022; 11:jcm11020358. [PMID: 35054052 PMCID: PMC8780504 DOI: 10.3390/jcm11020358] [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] [Received: 12/01/2021] [Revised: 01/03/2022] [Accepted: 01/08/2022] [Indexed: 12/10/2022] Open
Abstract
Traumatic brain injury (TBI) or repeated sport-related concussions (rSRC) may lead to long-term memory impairment. Diffusion tensor imaging (DTI) is helpful to reveal global white matter damage but may underestimate focal abnormalities. We investigated the distribution of post-injury regional white matter changes after TBI and rSRC. Six patients with moderate/severe TBI, and 12 athletes with rSRC were included ≥6 months post-injury, and 10 (age-matched) healthy controls (HC) were analyzed. The Repeatable Battery for the Assessment of Neuropsychological Status was performed at the time of DTI. Major white matter pathways were tracked using q-space diffeomorphic reconstruction and analyzed for global and regional changes with a controlled false discovery rate. TBI patients displayed multiple classic white matter injuries compared with HC (p < 0.01). At the regional white matter analysis, the left frontal aslant tract, anterior thalamic radiation, and the genu of the corpus callosum displayed focal changes in both groups compared with HC but with different trends. Both TBI and rSRC displayed worse memory performance compared with HC (p < 0.05). While global analysis of DTI-based parameters did not reveal common abnormalities in TBI and rSRC, abnormalities to the fronto-thalamic network were observed in both groups using regional analysis of the white matter pathways. These results may be valuable to tailor individualized rehabilitative approaches for post-injury cognitive impairment in both TBI and rSRC patients.
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20
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Dennis EL, Baron D, Bartnik‐Olson B, Caeyenberghs K, Esopenko C, Hillary FG, Kenney K, Koerte IK, Lin AP, Mayer AR, Mondello S, Olsen A, Thompson PM, Tate DF, Wilde EA. ENIGMA brain injury: Framework, challenges, and opportunities. Hum Brain Mapp 2022; 43:149-166. [PMID: 32476212 PMCID: PMC8675432 DOI: 10.1002/hbm.25046] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 04/23/2020] [Accepted: 05/03/2020] [Indexed: 12/19/2022] Open
Abstract
Traumatic brain injury (TBI) is a major cause of disability worldwide, but the heterogeneous nature of TBI with respect to injury severity and health comorbidities make patient outcome difficult to predict. Injury severity accounts for only some of this variance, and a wide range of preinjury, injury-related, and postinjury factors may influence outcome, such as sex, socioeconomic status, injury mechanism, and social support. Neuroimaging research in this area has generally been limited by insufficient sample sizes. Additionally, development of reliable biomarkers of mild TBI or repeated subconcussive impacts has been slow, likely due, in part, to subtle effects of injury and the aforementioned variability. The ENIGMA Consortium has established a framework for global collaboration that has resulted in the largest-ever neuroimaging studies of multiple psychiatric and neurological disorders. Here we describe the organization, recent progress, and future goals of the Brain Injury working group.
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Affiliation(s)
- Emily L. Dennis
- Department of NeurologyUniversity of Utah School of MedicineSalt Lake CityUtahUSA
- George E. Wahlen Veterans Affairs Medical CenterSalt Lake CityUtahUSA
- Imaging Genetics CenterStevens Neuroimaging & Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - David Baron
- Western University of Health SciencesPomonaCaliforniaUSA
| | - Brenda Bartnik‐Olson
- Department of RadiologyLoma Linda University Medical CenterLoma LindaCaliforniaUSA
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of PsychologyDeakin UniversityBurwoodVictoriaAustralia
| | - Carrie Esopenko
- Department of Rehabilitation and Movement SciencesRutgers Biomedical Health SciencesNewarkNew JerseyUSA
| | - Frank G. Hillary
- Department of PsychologyPennsylvania State UniversityUniversity ParkPennsylvaniaUSA
- Social Life and Engineering Sciences Imaging CenterUniversity ParkPennsylvaniaUSA
| | - Kimbra Kenney
- Department of NeurologyUniformed Services University of the Health SciencesBethesdaMarylandUSA
- National Intrepid Center of ExcellenceWalter Reed National Military Medical CenterBethesdaMarylandUSA
| | - Inga K. Koerte
- Psychiatry Neuroimaging LaboratoryBrigham and Women's HospitalBostonMassachusettsUSA
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyLudwig‐Maximilians‐UniversitätMunichGermany
| | - Alexander P. Lin
- Center for Clinical SpectroscopyBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Andrew R. Mayer
- Mind Research NetworkAlbuquerqueNew MexicoUSA
- Department of Neurology and PsychiatryUniversity of New Mexico School of MedicineAlbuquerqueNew MexicoUSA
| | - Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional ImagingUniversity of MessinaMessinaItaly
| | - Alexander Olsen
- Department of PsychologyNorwegian University of Science and TechnologyTrondheimNorway
- Department of Physical Medicine and RehabilitationSt. Olavs Hospital, Trondheim University HospitalTrondheimNorway
| | - Paul M. Thompson
- Imaging Genetics CenterStevens Neuroimaging & Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
- Department of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and OphthalmologyUniversity of Southern California (USC)Los AngelesCaliforniaUSA
| | - David F. Tate
- Department of NeurologyUniversity of Utah School of MedicineSalt Lake CityUtahUSA
- George E. Wahlen Veterans Affairs Medical CenterSalt Lake CityUtahUSA
| | - Elisabeth A. Wilde
- Department of NeurologyUniversity of Utah School of MedicineSalt Lake CityUtahUSA
- George E. Wahlen Veterans Affairs Medical CenterSalt Lake CityUtahUSA
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21
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Smulligan KL, Wilson JC, Howell DR. INCREASED RISK OF MUSCULOSKELETAL INJURIES AFTER CONCUSSION. OPER TECHN SPORT MED 2022. [DOI: 10.1016/j.otsm.2022.150896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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22
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de Souza NL, Buckman JF, Dennis EL, Parrott JS, Velez C, Wilde EA, Tate DF, Esopenko C. Association between white matter organization and cognitive performance in athletes with a history of sport-related concussion. J Clin Exp Neuropsychol 2021; 43:704-715. [PMID: 34779351 DOI: 10.1080/13803395.2021.1991893] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Impairments in cognitive performance after sport-related concussion (SRC) typically resolve within weeks of the injury, whereas alterations to white matter (WM) organization have been found to persist longer into the chronic injury stage. However, longer-term associations between cognition and WM organization following SRC have not been studied. The objective of this study was to compare WM organization and cognitive performance in collegiate athletes an average of almost 4 years post-SRC to athletes with no history of SRC. METHOD National Collegiate Athletic Association Division III athletes (n = 71, age = 19.3 ± 1.2; 14 with self-reported SRC) completed a neurocognitive assessment and diffusion tensor imaging (DTI). WM organization was assessed by extracting measures of fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD) from 20 WM regions of interest (ROIs). Multivariate partial least squares analyses were used to compare athletes with and without a history of SRC and assess relationships between DTI-derived metrics of WM organization and cognitive measures. RESULTS Cognitive performance and ROI metrics did not differ between athletes with and without prior SRC. However, among athletes with a history of SRC, better executive function, processing speed, and memory but worse choice reaction time were associated with higher FA and lower MD and RD in several WM tracts. CONCLUSION Athletes with a history of SRC demonstrated greater associations between cognitive performance and WM organization, but also variability in the domains showing associations. Taken together, the findings demonstrate the importance of examining brain-behavior relationships several years after SRC to better gauge how WM organization supports cognition.
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Affiliation(s)
- Nicola L de Souza
- School of Graduate Studies, Biomedical Sciences, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - Jennifer F Buckman
- Department of Kinesiology and Health, Rutgers University - New Brunswick, Piscataway, NJ, USA
| | - Emily L Dennis
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA.,George E. Wahlen Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, USA
| | | | - Carmen Velez
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA.,Missouri Institute of Mental Health, University of Missouri, St. Louis, MO, USA
| | - Elisabeth A Wilde
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA.,George E. Wahlen Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, USA
| | - David F Tate
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA.,George E. Wahlen Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, USA.,Missouri Institute of Mental Health, University of Missouri, St. Louis, MO, USA
| | - Carrie Esopenko
- Department of Rehabilitation & Movement Sciences, School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
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23
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Symons GF, Clough M, Mutimer S, Major BP, O'Brien WT, Costello D, McDonald SJ, Chen Z, White O, Mychasiuk R, Law M, Wright DK, O'Brien TJ, Fielding J, Kolbe SC, Shultz SR. Cognitive ocular motor deficits and white matter damage chronically after sports-related concussion. Brain Commun 2021; 3:fcab213. [PMID: 34595476 PMCID: PMC8477916 DOI: 10.1093/braincomms/fcab213] [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] [Received: 05/25/2021] [Revised: 07/11/2021] [Accepted: 07/28/2021] [Indexed: 11/14/2022] Open
Abstract
A history of concussion has been linked to long-term cognitive deficits; however, the neural underpinnings of these abnormalities are poorly understood. This study recruited 26 asymptomatic male Australian footballers with a remote history of concussion (i.e. at least six months since last concussion), and 23 non-collision sport athlete controls with no history of concussion. Participants completed three ocular motor tasks (prosaccade, antisaccade and a cognitively complex switch task) to assess processing speed, inhibitory control and cognitive flexibility, respectively. Diffusion tensor imaging data were acquired using a 3 T MRI scanner, and analysed using tract-based spatial statistics, to investigate white matter abnormalities and how they relate to ocular motor performance. Australian footballers had significantly slower adjusted antisaccade latencies compared to controls (P = 0.035). A significant switch cost (i.e. switch trial error > repeat trial error) was also found on the switch task, with Australian footballers performing increased magnitude of errors on prosaccade switch trials relative to prosaccade repeat trials (P = 0.023). Diffusion tensor imaging analysis found decreased fractional anisotropy, a marker of white matter damage, in major white matter tracts (i.e. corpus callosum, corticospinal tract) in Australian footballers relative to controls. Notably, a larger prosaccade switch cost was significantly related to reduced fractional anisotropy in anterior white matter regions found to connect to the prefrontal cortex (i.e. a key cortical ocular motor centre involved in executive functioning and task switching). Taken together, Australian footballers with a history of concussion have ocular motor deficits indicative of poorer cognitive processing speed and cognitive flexibility, which are related to reduce white matter integrity in regions projecting to important cognitive ocular motor structures. These findings provide novel insights into the neural mechanisms that may underly chronic cognitive impairments in individuals with a history of concussion.
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Affiliation(s)
- Georgia F Symons
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Meaghan Clough
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Steven Mutimer
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Brendan P Major
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - William T O'Brien
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Daniel Costello
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Stuart J McDonald
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Zhibin Chen
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Owen White
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia.,Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Richelle Mychasiuk
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Meng Law
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - David K Wright
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Terence J O'Brien
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia.,Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Joanne Fielding
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia.,Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Scott C Kolbe
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Sandy R Shultz
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia.,Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
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24
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Morelli N, Johnson NF, Kaiser K, Andreatta RD, Heebner NR, Hoch MC. Resting state functional connectivity responses post-mild traumatic brain injury: a systematic review. Brain Inj 2021; 35:1326-1337. [PMID: 34487458 DOI: 10.1080/02699052.2021.1972339] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Mild traumatic brain injuries (mTBI) are associated with functional network connectivity alterations throughout recovery. Yet, little is known about the adaptive or maladaptive nature of post-mTBI connectivity and which networks are predisposed to altered function and adaptation. The objective of this review was to determine functional connectivity changes post-mTBI and to determine the adaptive or maladaptive nature of connectivity through direct comparisons of connectivity and behavioral data. Literature was systematically searched and appraised for methodological quality. A total of 16 articles were included for review. There was conflicting evidence of post-mTBI connectivity responses as decreased connectivity was noted in 4 articles, 6 articles reported increased connectivity, 5 reported a mixture of increased and decreased connectivity, while 1 found no differences in connectivity. Supporting evidence for adaptive post-mTBI increases in connectivity were found, particularly in the frontoparietal, cerebellar, and default mode networks. Although initial results are promising, continued longitudinal research that systematically controls for confounding variables and that standardizes methodologies is warranted to adequately understand the neurophysiological recovery trajectory of mTBI.
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Affiliation(s)
- Nathan Morelli
- Department of Physical Therapy, High Point University, High Point, North Carolina, USA
| | - Nathan F Johnson
- Department of Physical Therapy, College of Health Sciences, University of Kentucky, Lexington, Kentucky, USA
| | - Kimberly Kaiser
- Department of Orthopaedic Surgery and Sports Medicine, University of Kentucky, Lexington, Kentucky, USA
| | - Richard D Andreatta
- Rehabilitation Sciences Doctoral Program, College of Health Sciences, University of Kentucky, Lexington, Kentucky, USA
| | - Nicholas R Heebner
- Sports Medicine Research Institute, University of Kentucky, Lexington, Kentucky, USA
| | - Matthew C Hoch
- Sports Medicine Research Institute, University of Kentucky, Lexington, Kentucky, USA
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25
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McCunn P, Xu X, Moszczynski A, Li A, Brown A, Bartha R. Neurite orientation dispersion and density imaging in a rodent model of acute mild traumatic brain injury. J Neuroimaging 2021; 31:879-892. [PMID: 34473386 DOI: 10.1111/jon.12917] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 07/24/2021] [Accepted: 07/27/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND AND PURPOSE Identification of changesin brain microstructure following mild traumatic brain injury (mTBI) could be instrumental in understanding the underlying pathophysiology. The purpose of this study was to apply neurite orientation dispersion and density imaging (NODDI) to a rodent model of mTBI to determine whether microstructural changes could be detected immediately following injury. METHODS Fifteen adult male Wistar rats were scanned on a Bruker 9.4 Tesla small animal MRI using a multi-shell acquisition (30 b = 1000 s/mm2 and 60 b = 2000 s/mm2 ). Nine animals experienced a single closed head controlled cortical impact followed by NODDI from 1 to 4 h post injury. Region of interest analysis focused on the corpus callosum and hippocampus. A mixed analysis of variance (ANOVA) was used to determine statistically significant interactions in neurite density index (NDI), orientation dispersion index (ODI), fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity. Follow up repeated-measures ANOVAs were used to determine individual changes over time. RESULTS NDI showed a significant increase in the hippocampus and corpus callosum following injury, while ODI showed increases in the corpus callosum. No significant changes were observed in the sham control animals. No changes were found in FA, MD, AD, or RD. Histological analysis revealed increased glial fibrillary acidic protein staining relative to controls in both the hippocampus and corpus callosum, with evidence of activated astrocytes in these regions. CONCLUSIONS Changes in NODDI metrics were detected as early as 1 h following mTBI. No changes were detected with conventional diffusion tensor imaging (DTI) metrics, suggesting that NODDI provides greater sensitivity to microstructural changes than conventional DTI.
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Affiliation(s)
- Patrick McCunn
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada
| | - Xiaoyun Xu
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | | | - Alex Li
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.,Departments of Psychiatry and Medical Imaging, University of Western Ontario, London, Ontario, Canada
| | - Arthur Brown
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Neuroscience, University of Western Ontario, London, Ontario, Canada
| | - Robert Bartha
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.,Department of Anatomy and Cell Biology, University of Western Ontario, London, Ontario, Canada
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26
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Singh A, Ganpule SG, Khan MK, Iqbal MA. Measurement of brain simulant strains in head surrogate under impact loading. Biomech Model Mechanobiol 2021; 20:2319-2334. [PMID: 34455505 DOI: 10.1007/s10237-021-01509-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Accepted: 08/13/2021] [Indexed: 10/20/2022]
Abstract
Impact-induced traumatic brain injury (TBI) is a major source of disability and mortality. Knowledge of brain strains during impact (accelerative) loading is critical for the overall management of TBI, including the development of injury thresholds, personal protective equipment, and validation of computational models. Despite these needs, the current understanding of brain strains in humans or humanlike surrogates is limited, especially for injury causing loading magnitudes. Toward this end, we measured full-field, in-plane (2D) strains in a brain simulant using the hemispherical head surrogate. The hemispherical head was mounted on the Hybrid-III neck and subjected to impact loading using a linear impactor system. The resulting head kinematics was measured using a triaxial accelerometer and angular rate sensors. Dynamic, 2D strains in a brain simulant were obtained using high-speed imaging and digital image correlation. Concurrent finite element (FE) simulations of the experiment were also performed to gain additional insights. The role of stiff membranes of the head was also studied using experiments. Our results suggest that rotational modes dominate the response of the brain simulant. The wave propagation in the brain simulant as a result of impact has a timescale of ~100 ms. We obtain peak strains of ~20%, ~40%, ~60% for peak rotational accelerations of ~838, ~5170, ~11,860 rad/s2, respectively. Further, peak strains in cortical regions are higher than subcortical regions by up to ~70%. The agreement between the experiments and FE simulations is reasonable in terms of spatiotemporal evolution of strain pattern and peak strain magnitudes. Experiments with the addition of falx and tentorium indicate significant strain concentration (up to 115%) in the brain simulant near the interface of falx or tentorium and brain simulant. Overall, this work provides important insights into the biomechanics of strain in the brain simulant during impact loading.
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Affiliation(s)
- A Singh
- Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
| | - S G Ganpule
- Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
| | - M K Khan
- Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
| | - M A Iqbal
- Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
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27
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Lees B, Earls NE, Meares S, Batchelor J, Oxenham V, Rae CD, Jugé L, Cysique LA. Diffusion Tensor Imaging in Sport-Related Concussion: A Systematic Review Using an a priori Quality Rating System. J Neurotrauma 2021; 38:3032-3046. [PMID: 34309410 DOI: 10.1089/neu.2021.0154] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Diffusion tensor imaging (DTI) of brain white matter (WM) may be useful for characterizing the nature and degree of brain injury after sport-related concussion (SRC) and assist in establishing objective diagnostic and prognostic biomarkers. This study aimed to conduct a systematic review using an a priori quality rating strategy to determine the most consistent DTI-WM changes post-SRC. Articles published in English (until June 2020) were retrieved by standard research engine and gray literature searches (N = 4932), using PRISMA guidelines. Eligible studies were non-interventional naturalistic original studies that conducted DTI within 6 months of SRC in current athletes from all levels of play, types of sports, and sex. A total of 29 articles were included in the review, and after quality appraisal by two raters, data from 10 studies were extracted after being identified as high quality. High-quality studies showed widespread moderate-to-large WM differences when SRC samples were compared to controls during the acute to early chronic stage (days to weeks) post-SRC, including both increased and decreased fractional anisotropy and axial diffusivity and decreased mean diffusivity and radial diffusivity. WM differences remained stable in the chronic stage (2-6 months post-SRC). DTI metrics were commonly associated with SRC symptom severity, although standardized SRC diagnostics would improve future research. This indicates that microstructural recovery is often incomplete at return to play and may lag behind clinically assessed recovery measures. Future work should explore interindividual trajectories to improve understanding of the heterogeneous and dynamic WM patterns post-SRC.
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Affiliation(s)
- Briana Lees
- The Matilda Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Nicola E Earls
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia
| | - Susanne Meares
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia
| | - Jennifer Batchelor
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia
| | - Vincent Oxenham
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia.,Neuroscience Research Australia, Randwick, New South Wales, Australia.,Department of Neurology, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Caroline D Rae
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,School of Medical Sciences, UNSW Medicine, The University of New South Wales, Sydney, New South Wales, Australia
| | - Lauriane Jugé
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,School of Medical Sciences, UNSW Medicine, The University of New South Wales, Sydney, New South Wales, Australia
| | - Lucette A Cysique
- Neuroscience Research Australia, Randwick, New South Wales, Australia.,St. Vincent's Hospital Applied Medical Research Centre, Peter Duncan Neuroscience, Sydney, New South Wales, Australia.,School of Psychology, The University of New South Wales, Sydney, New South Wales, Australia
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28
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Jacquin AE, Bazarian JJ, Casa DJ, Elbin RJ, Hotz G, Schnyer DM, Yeargin S, Prichep LS, Covassin T. Concussion assessment potentially aided by use of an objective multimodal concussion index. JOURNAL OF CONCUSSION 2021. [DOI: 10.1177/20597002211004333] [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
Objective Prompt, accurate, objective assessment of concussion is crucial as delays can lead to increased short and long-term consequences. The purpose of this study was to derive an objective multimodal concussion index (CI) using EEG at its core, to identify concussion, and to assess change over time throughout recovery. Methods Male and female concussed ( N = 232) and control ( N = 206) subjects 13–25 years were enrolled at 12 US colleges and high schools. Evaluations occurred within 72 h of injury, 5 days post-injury, at return-to-play (RTP), 45 days after RTP (RTP + 45); and included EEG, neurocognitive performance, and standard concussion assessments. Concussed subjects had a witnessed head impact, were removed from play for ≥ 5 days using site guidelines, and were divided into those with RTP < 14 or ≥14 days. Part 1 describes the derivation and efficacy of the machine learning derived classifier as a marker of concussion. Part 2 describes significance of differences in CI between groups at each time point and within each group across time points. Results Sensitivity = 84.9%, specificity = 76.0%, and AUC = 0.89 were obtained on a test Hold-Out group representing 20% of the total dataset. EEG features reflecting connectivity between brain regions contributed most to the CI. CI was stable over time in controls. Significant differences in CI between controls and concussed subjects were found at time of injury, with no significant differences at RTP and RTP + 45. Within the concussed, differences in rate of recovery were seen. Conclusions The CI was shown to have high accuracy as a marker of likelihood of concussion. Stability of CI in controls supports reliable interpretation of CI change in concussed subjects. Objective identification of the presence of concussion and assessment of readiness to return to normal activity can be aided by use of the CI, a rapidly obtained, point of care assessment tool.
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Affiliation(s)
| | - Jeffrey J Bazarian
- Department of Emergency Medicine, University of Rochester, Rochester, NY, USA
| | - Douglas J Casa
- Department of Kinesiology, Korey Stringer Institute, University of Connecticut, Storrs, CT, USA
| | - Robert J Elbin
- Department of Health, Human Performance and Recreation, Office for Sport Concussion Research, University of Arkansas, Fayetteville, AR, USA
| | - Gillian Hotz
- Department of Neurosurgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - David M Schnyer
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | - Susan Yeargin
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | | | - Tracey Covassin
- Department of Kinesiology, Michigan State University, East Lansing, MI, USA
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29
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Turner S, Lazarus R, Marion D, Main KL. Molecular and Diffusion Tensor Imaging Biomarkers of Traumatic Brain Injury: Principles for Investigation and Integration. J Neurotrauma 2021; 38:1762-1782. [PMID: 33446015 DOI: 10.1089/neu.2020.7259] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The last 20 years have seen the advent of new technologies that enhance the diagnosis and prognosis of traumatic brain injury (TBI). There is recognition that TBI affects the brain beyond initial injury, in some cases inciting a progressive neuropathology that leads to chronic impairments. Medical researchers are now searching for biomarkers to detect and monitor this condition. Perhaps the most promising developments are in the biomolecular and neuroimaging domains. Molecular assays can identify proteins indicative of neuronal injury and/or degeneration. Diffusion imaging now allows sensitive evaluations of the brain's cellular microstructure. As the pace of discovery accelerates, it is important to survey the research landscape and identify promising avenues of investigation. In this review, we discuss the potential of molecular and diffusion tensor imaging (DTI) biomarkers in TBI research. Integration of these technologies could advance models of disease prognosis, ultimately improving care. To date, however, few studies have explored relationships between molecular and DTI variables in patients with TBI. Here, we provide a short primer on each technology, review the latest research, and discuss how these biomarkers may be incorporated in future studies.
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Affiliation(s)
- Stephanie Turner
- Defense and Veterans Brain Injury Center, Silver Spring, Maryland, USA.,General Dynamics Information Technology, Falls Church, Virginia, USA
| | - Rachel Lazarus
- Defense and Veterans Brain Injury Center, Silver Spring, Maryland, USA.,General Dynamics Information Technology, Falls Church, Virginia, USA
| | - Donald Marion
- Defense and Veterans Brain Injury Center, Silver Spring, Maryland, USA.,General Dynamics Information Technology, Falls Church, Virginia, USA
| | - Keith L Main
- Defense and Veterans Brain Injury Center, Silver Spring, Maryland, USA.,General Dynamics Information Technology, Falls Church, Virginia, USA
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30
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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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Associations between different white matter properties and reward-based performance modulation. Brain Struct Funct 2021; 226:1007-1021. [DOI: 10.1007/s00429-021-02222-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 01/14/2021] [Indexed: 12/13/2022]
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Meier TB, España L, Nitta ME, Kent Teague T, Brett BL, Nelson LD, McCrea MA, Savitz J. Positive association between serum quinolinic acid and functional connectivity following concussion. Brain Behav Immun 2021; 91:531-540. [PMID: 33176183 PMCID: PMC7769223 DOI: 10.1016/j.bbi.2020.11.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 10/29/2020] [Accepted: 11/05/2020] [Indexed: 02/07/2023] Open
Abstract
The molecular mechanisms underlying the diverse psychiatric and neuropathological sequalae documented in subsets of athletes with concussion have not been identified. We have previously reported elevated quinolinic acid (QuinA), a neurotoxic kynurenine pathway metabolite, acutely following concussion in football players with prior concussion. Similarly, work from our group and others has shown that increased functional connectivity strength, assessed using resting state fMRI, occurs following concussion and is associated with worse concussion-related symptoms and outcome. Moreover, other work has shown that repetitive concussion may have cumulative effects on functional connectivity and is a risk factor for adverse outcomes. Understanding the molecular mechanisms underlying these cumulative effects may ultimately be important for therapeutic interventions or the development of prognostic biomarkers. Thus, in this work, we tested the hypothesis that the relationship between QuinA in serum and functional connectivity following concussion would depend on the presence of a prior concussion. Concussed football players with prior concussion (N = 21) and without prior concussion (N = 16) completed a MRI session and provided a blood sample at approximately 1 days, 8 days, 15 days, and 45 days post-injury. Matched, uninjured football players with (N = 18) and without prior concussion (N = 24) completed similar visits. The association between QuinA and global connectivity strength differed based on group (F(3, 127) = 3.46, p = 0.019); post-hoc analyses showed a positive association between QuinA and connectivity strength in concussed athletes with prior concussion (B = 16.05, SE = 5.06, p = 0.002, 95%CI[6.06, 26.03]), but no relationship in concussed athletes without prior concussion or controls. Region-specific analyses showed that this association was strongest in bilateral orbitofrontal cortices, insulae, and basal ganglia. Finally, exploratory analyses found elevated global connectivity strength in concussed athletes with prior concussion who reported depressive symptoms at the 1-day visit compared to those who did not report depressive symptoms (t(15) = 2.37, mean difference = 13.50, SE = 5.69, p = 0.032, 95%CI[1.36, 25.63], Cohen's d = 1.15.). The results highlight a potential role of kynurenine pathway (KP) metabolites in altered functional connectivity following concussion and raise the possibility that repeated concussion has a "priming" effect on KP metabolism.
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Affiliation(s)
- Timothy B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States; Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, United States; Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, WI, United States.
| | - Lezlie España
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Morgan E Nitta
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States; Department of Psychology, Marquette University, Milwaukee, WI, United States
| | - T Kent Teague
- Departments of Surgery and Psychiatry, The University of Oklahoma School of Community Medicine, Tulsa, OK, United States; Department of Pharmaceutical Sciences, University of Oklahoma College of Pharmacy, Tulsa, OK, United States
| | - Benjamin L Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States; Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Lindsay D Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States; Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Michael A McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States; Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, United States; Oxley College of Health Sciences, Tulsa, OK, United States
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Whitehouse DP, Kelleher‐Unger IR, Newcombe VFJ. Head injury and concussion in cricket: Incidence, current guidance, and implications of sports concussion literature. TRANSLATIONAL SPORTS MEDICINE 2020. [DOI: 10.1002/tsm2.222] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Kawata K, Steinfeldt JA, Huibregtse ME, Nowak MK, Macy JT, Kercher K, Rettke DJ, Shin A, Chen Z, Ejima K, Newman SD, Cheng H. Association Between Proteomic Blood Biomarkers and DTI/NODDI Metrics in Adolescent Football Players: A Pilot Study. Front Neurol 2020; 11:581781. [PMID: 33304306 PMCID: PMC7701105 DOI: 10.3389/fneur.2020.581781] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 10/08/2020] [Indexed: 12/11/2022] Open
Abstract
While neuroimaging and blood biomarker have been two of the most active areas of research in the neurotrauma community, these fields rarely intersect to delineate subconcussive brain injury. The aim of the study was to examine the association between diffusion MRI techniques [diffusion tensor imaging (DTI) and neurite orientation/dispersion density imaging (NODDI)] and brain-injury blood biomarker levels [tau, neurofilament-light (NfL), glial-fibrillary-acidic-protein (GFAP)] in high-school football players at their baseline, aiming to detect cumulative neuronal damage from prior seasons. Twenty-five football players were enrolled in the study. MRI measures and blood samples were obtained during preseason data collection. The whole-brain, tract-based spatial statistics was conducted for six diffusion metrics: fractional anisotropy (FA), mean diffusivity (MD), axial/radial diffusivity (AD, RD), neurite density index (NDI), and orientation dispersion index (ODI). Five players were ineligible for MRIs, and three serum samples were excluded due to hemolysis, resulting in 17 completed set of diffusion metrics and blood biomarker levels for association analysis. Our permutation-based regression model revealed that serum tau levels were significantly associated with MD and NDI in various axonal tracts; specifically, elevated serum tau levels correlated to elevated MD (p = 0.0044) and reduced NDI (p = 0.016) in the corpus callosum and surrounding white matter tracts (e.g., longitudinal fasciculus). Additionally, there was a negative association between NfL and ODI in the focal area of the longitudinal fasciculus. Our data suggest that high school football players may develop axonal microstructural abnormality in the corpus callosum and surrounding white matter tracts, such as longitudinal fasciculus. A future study is warranted to determine the longitudinal multimodal relationship in response to repetitive exposure to sports-related head impacts.
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Affiliation(s)
- Keisuke Kawata
- Department of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, IN, United States
- Program in Neuroscience, College of Arts and Sciences, Indiana University, Bloomington, IN, United States
| | - Jesse A. Steinfeldt
- Department of Counseling and Educational Psychology, School of Education, Indiana University, Bloomington, IN, United States
| | - Megan E. Huibregtse
- Department of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, IN, United States
| | - Madeleine K. Nowak
- Department of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, IN, United States
| | - Jonathan T. Macy
- Department of Applied Health Science, School of Public Health-Bloomington, Indiana University, Bloomington, IN, United States
| | - Kyle Kercher
- Department of Applied Health Science, School of Public Health-Bloomington, Indiana University, Bloomington, IN, United States
| | - Devin J. Rettke
- Department of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, IN, United States
| | - Andrea Shin
- Division of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Zhongxue Chen
- Department of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, IN, United States
| | - Keisuke Ejima
- Department of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, IN, United States
| | - Sharlene D. Newman
- Department of Psychological and Brain Sciences, College of Arts and Sciences, Indiana University, Bloomington, IN, United States
- Alabama Life Research Institute, University of Alabama, Tuscaloosa, AL, United States
| | - Hu Cheng
- Program in Neuroscience, College of Arts and Sciences, Indiana University, Bloomington, IN, United States
- Department of Psychological and Brain Sciences, College of Arts and Sciences, Indiana University, Bloomington, IN, United States
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Merz ZC, Flashman LA, Ford JC, McDonald BC, McAllister TW. Comparison of season-long diffusivity measures in a cohort of non-concussed contact and non-contact athletes. J Clin Exp Neuropsychol 2020; 42:811-821. [PMID: 32893734 PMCID: PMC7572734 DOI: 10.1080/13803395.2020.1813257] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 08/14/2020] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Concern surrounding short- and long-term consequences of participation in contact sports has become a significant public health topic. Previous literature utilizing diffusion tensor imaging in sports-related concussion has exhibited notable variety of analysis methods and analyzed regions of interest, and largely focuses on acute effects of concussion. The current study aimed to compare diffusivity metrics across a single season within athlete cohorts with no history of concussion. METHODS A prospective cohort of 75 contact and 79 non-contact division I athletes were compared across diffusion tensor imaging metrics (i.e. TRACULA); examinations were also performed assessing the relationship between neuroimaging metrics, head impact exposure metrics (in-helmet accelerometer), and neurocognitive variables. Assessment occurred at pre-and post-season time points. RESULTS Seasonal changes in fractional anisotropy and mean diffusivity values did not differ between athlete cohorts, nor did they differ within cohort groups, across pre- and post-season scans. Specific to contact athletes, positive associations were found between uncinate fasciculus mean diffusivity values and season linear acceleration (p =.018), season rotational acceleration (p =.017), and season hit severity (p =.021). CONCLUSIONS Results suggest an influence of impact frequency, type, and severity on white matter integrity in select brain regions in contact athletes. Current findings expand our knowledge of anatomical changes over the course of a single season, and underscore the importance of considering methodology when interpreting findings in this population, as differing image analysis techniques may lead to different conclusions regarding significant effects.
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Affiliation(s)
- Zachary C Merz
- LeBauer Department of Neurology, Moses H. Cone Memorial Hospital , Greensboro, NC, USA
| | - Laura A Flashman
- Department of Neurology, Wake Forest Baptist Health, Wake Forest University , Winston-Salem, NC, USA
| | - James C Ford
- Department of Psychiatry, Dartmouth-Hitchcock Medical Center and Geisel School of Medicine at Dartmouth , Hanover, NH, USA
| | - Brenna C McDonald
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine , Indianapolis, IN, USA
| | - Thomas W McAllister
- Department of Psychiatry, Indiana University School of Medicine , Indianapolis, IN, USA
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Niogi SN, Luther N, Kutner K, Shetty T, McCrea HJ, Barnes R, Weiss L, Warren RF, Rodeo SA, Zimmerman RD, Moss NS, Tsiouris AJ, Härtl R. Increased sensitivity to traumatic axonal injury on postconcussion diffusion tensor imaging scans in National Football League players by using premorbid baseline scans. J Neurosurg 2020; 133:1063-1071. [PMID: 31491763 DOI: 10.3171/2019.3.jns181864] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Accepted: 03/29/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Statistical challenges exist when using diffusion tensor imaging (DTI) to assess traumatic axonal injury (TAI) in individual concussed athletes. The authors examined active professional American football players over a 6-year time period to study potential TAI after concussion and assess optimal methods to analyze DTI at the individual level. METHODS Active American professional football players recruited prospectively were assessed with DTI, conventional MRI, and standard clinical workup. Subjects underwent an optional preseason baseline scan and were asked to undergo a scan within 5 days of concussion during gameplay. DTI from 25 age- and sex-matched controls were obtained. Both semiautomated region-of-interest analysis and fully automated tract-based spatial statistics (TBSS) were used to examine DTI at individual and group levels. Statistical differences were assessed comparing individual DTI data to baseline imaging versus a normative database. Group-level comparisons were also performed to determine if longer exposure to professional-level play or prior concussion cause white matter microstructural integrity changes. RESULTS Forty-nine active professional football players were recruited into the study. Of the 49 players, 7 were assessed at baseline during the preseason and after acute concussion. An additional 18 players were assessed after acute concussion only. An additional 24 players had only preseason baseline assessments. The results suggest DTI is more sensitive to suspected TAI than conventional MRI, given that 4 players demonstrated decreased fractional anisotropy (FA) in multiple tracts despite normal conventional MRI. Furthermore, the data suggest individual assessment of DTI data using baseline premorbid imaging is more sensitive than typical methods of comparing data to a normative control group. Among all subjects with baseline data, 1 reduced FA tract (± 2.5 standard deviations) was found using the typical normative database reference versus 10 statistically significant (p < 0.05) reduced FA tracts when referencing internal control baseline data. All group-level comparisons were statistically insignificant (p > 0.05). CONCLUSIONS Baseline premorbid DTI data for individual DTI analysis provides increased statistical sensitivity. Specificity using baseline imaging also increases because numerous potential etiologies for reduced FA may exist prior to a concussion. These data suggest that there is a high potential for false-positive and false-negative assessment of DTI data using typical methods of comparing an individual to normative groups given the variability of FA values in the normal population.
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Affiliation(s)
| | - Neal Luther
- 2Department of Neurological Surgery, New Hampshire NeuroSpine Institute, Bedford, New Hampshire
| | - Kenneth Kutner
- 3Neurological Surgery, Weill Cornell Medicine, New York, New York
| | | | - Heather J McCrea
- 5Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida
| | - Ronnie Barnes
- 8New York Football Giants, East Rutherford, New Jersey
| | - Leigh Weiss
- 8New York Football Giants, East Rutherford, New Jersey
| | - Russell F Warren
- 7Orthopedic Surgery, Sports Medicine Hospital for Special Surgery, New York, New York
| | - Scott A Rodeo
- 7Orthopedic Surgery, Sports Medicine Hospital for Special Surgery, New York, New York
| | | | - Nelson S Moss
- 6Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, New York; and
| | | | - Roger Härtl
- 3Neurological Surgery, Weill Cornell Medicine, New York, New York
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Yao ZF, Sligte IG, Moreau D, Hsieh S, Yang CT, Ridderinkhof KR, Muggleton NG, Wang CH. The brains of elite soccer players are subject to experience-dependent alterations in white matter connectivity. Cortex 2020; 132:79-91. [PMID: 32956909 DOI: 10.1016/j.cortex.2020.07.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/26/2020] [Accepted: 07/30/2020] [Indexed: 02/07/2023]
Abstract
Soccer is the only major sport with voluntary unprotected head-to-ball contact. It is crucial to determine if head impact through long-term soccer training is manifested in brain structure and connectivity, and whether such alterations are due to sustained training per se. Using diffusion tensor imaging, we documented a comprehensive view of soccer players' brains in a sample of twenty-five right-handed male elite soccer players aged from 18 to 22 years and twenty-five non-athletic controls aged 19-24 years. Importantly, none had recalled a history of concussion. We performed a whole-brain tract-based spatial statistical analysis, and a tract-specific probabilistic tractography method to measure the differences of white matter properties between groups. Whole-brain integrity analysis showed stronger microstructural integrity within the corpus callosum tract in soccer players compared to controls. Further, tract-specific probabilistic tractography revealed that the anterior part of corpus callosum may be the brain structure most relevant to training experience, which may put into perspective prior evidence showing corpus callosum alteration in retired or concussed athletes practicing contact sports. Intriguingly, experience-related alterations showed left hemispheric lateralization of potential early signs of concussion-like effects. In sum, we concluded that the observed gains and losses may be due to a consequence of engagement in protracted soccer training that incurs prognostic hallmarks associated with minor injury-induced neural inflammation.
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Affiliation(s)
- Zai-Fu Yao
- Brain and Cognition, Department of Psychology, University of Amsterdam, the Netherlands
| | - Ilja G Sligte
- Brain and Cognition, Department of Psychology, University of Amsterdam, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, the Netherlands
| | - David Moreau
- Centre for Brain Research, School of Psychology, The University of Auckland, New Zealand
| | - Shulan Hsieh
- Cognitive Electrophysiology Laboratory: Control, Aging, Sleep, and Emotion (CASE), Department of Psychology, National Cheng Kung University, Taiwan; Institute of Allied Health Sciences, National Cheng Kung University, Taiwan; Department and Institute of Public Health, National Cheng Kung University, Taiwan; Department of Psychology, National Cheng Kung University, Taiwan
| | - Cheng-Ta Yang
- Institute of Allied Health Sciences, National Cheng Kung University, Taiwan; Department of Psychology, National Cheng Kung University, Taiwan
| | - K Richard Ridderinkhof
- Brain and Cognition, Department of Psychology, University of Amsterdam, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, the Netherlands
| | - Neil G Muggleton
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan; Institute of Cognitive Neuroscience, University College London, London, United Kingdom; Department of Psychology, Goldsmiths, University of London, London, United Kingdom
| | - Chun-Hao Wang
- Institute of Physical Education, Health & Leisure Studies, National Cheng Kung University, Taiwan.
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Rausa VC, Shapiro J, Seal ML, Davis GA, Anderson V, Babl FE, Veal R, Parkin G, Ryan NP, Takagi M. Neuroimaging in paediatric mild traumatic brain injury: a systematic review. Neurosci Biobehav Rev 2020; 118:643-653. [PMID: 32905817 DOI: 10.1016/j.neubiorev.2020.08.017] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 08/02/2020] [Accepted: 08/29/2020] [Indexed: 01/05/2023]
Abstract
Neuroimaging is being increasingly applied to the study of paediatric mild traumatic brain injury (mTBI) to uncover the neurobiological correlates of delayed recovery post-injury. The aims of this systematic review were to: (i) evaluate the neuroimaging research investigating neuropathology post-mTBI in children and adolescents from 0-18 years, (ii) assess the relationship between advanced neuroimaging abnormalities and PCS in children, (iii) assess the quality of the evidence by evaluating study methodology and reporting against best practice guidelines, and (iv) provide directions for future research. A literature search of MEDLINE, PsycINFO, EMBASE, and PubMed was conducted. Abstracts and titles were screened, followed by full review of remaining articles where specific eligibility criteria were applied. This systematic review identified 58 imaging studies which met criteria. Based on several factors including methodological heterogeneity and relatively small sample sizes, the literature currently provides insufficient evidence to draw meaningful conclusions about the relationship between MRI findings and clinical outcomes. Future research is needed which incorporates prospective, longitudinal designs, minimises potential confounds and utilises multimodal imaging techniques.
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Affiliation(s)
- Vanessa C Rausa
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
| | - Jesse Shapiro
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia.
| | - Marc L Seal
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Victoria, Australia.
| | - Gavin A Davis
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
| | - Vicki Anderson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia; Psychology Service, The Royal Children's Hospital, Melbourne, Australia.
| | - Franz E Babl
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Emergency Department, Royal Children's Hospital, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Victoria, Australia.
| | - Ryan Veal
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
| | - Georgia Parkin
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
| | - Nicholas P Ryan
- Department of Paediatrics, University of Melbourne, Victoria, Australia; Cognitive Neuroscience Unit, Deakin University, Geelong, Australia.
| | - Michael Takagi
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia.
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Wu YC, Harezlak J, Elsaid NMH, Lin Z, Wen Q, Mustafi SM, Riggen LD, Koch KM, Nencka AS, Meier TB, Mayer AR, Wang Y, Giza CC, DiFiori JP, Guskiewicz KM, Mihalik JP, LaConte SM, Duma SM, Broglio SP, Saykin AJ, McCrea MA, McAllister TW. Longitudinal white-matter abnormalities in sports-related concussion: A diffusion MRI study. Neurology 2020; 95:e781-e792. [PMID: 32641518 PMCID: PMC7605507 DOI: 10.1212/wnl.0000000000009930] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 02/07/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To study longitudinal recovery trajectories of white matter after sports-related concussion (SRC) by performing diffusion tensor imaging (DTI) on collegiate athletes who sustained SRC. METHODS Collegiate athletes (n = 219, 82 concussed athletes, 68 contact-sport controls, and 69 non-contact-sport controls) were included from the Concussion Assessment, Research and Education Consortium. The participants completed clinical assessments and DTI at 4 time points: 24 to 48 hours after injury, asymptomatic state, 7 days after return-to-play, and 6 months after injury. Tract-based spatial statistics was used to investigate group differences in DTI metrics and to identify white-matter areas with persistent abnormalities. Generalized linear mixed models were used to study longitudinal changes and associations between outcome measures and DTI metrics. Cox proportional hazards model was used to study effects of white-matter abnormalities on recovery time. RESULTS In the white matter of concussed athletes, DTI-derived mean diffusivity was significantly higher than in the controls at 24 to 48 hours after injury and beyond the point when the concussed athletes became asymptomatic. While the extent of affected white matter decreased over time, part of the corpus callosum had persistent group differences across all the time points. Furthermore, greater elevation of mean diffusivity at acute concussion was associated with worse clinical outcome measures (i.e., Brief Symptom Inventory scores and symptom severity scores) and prolonged recovery time. No significant differences in DTI metrics were observed between the contact-sport and non-contact-sport controls. CONCLUSIONS Changes in white matter were evident after SRC at 6 months after injury but were not observed in contact-sport exposure. Furthermore, the persistent white-matter abnormalities were associated with clinical outcomes and delayed recovery time.
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Affiliation(s)
- Yu-Chien Wu
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor.
| | - Jaroslaw Harezlak
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Nahla M H Elsaid
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Zikai Lin
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Qiuting Wen
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Sourajit M Mustafi
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Larry D Riggen
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Kevin M Koch
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Andrew S Nencka
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Timothy B Meier
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Andrew R Mayer
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Yang Wang
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Christopher C Giza
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - John P DiFiori
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Kevin M Guskiewicz
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Jason P Mihalik
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Stephen M LaConte
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Stefan M Duma
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Steven P Broglio
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Andrew J Saykin
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Michael A McCrea
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
| | - Thomas W McAllister
- From the Departments of Radiology and Imaging Sciences (Y.-C.W., N.M.H.E., Q.W., S.M.M., A.J.S.), Psychiatry (Z.L., T.W.M.), and Biostatistics (L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Nanoscope Technology LLC (S.M.M.), Bedford, TX; Departments of Radiology (K.M.K., A.S.N., Y.W.) and Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; The Mind Research Network (A.R.M.), Albuquerque, NM; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at the University of California Los Angeles; Division of Pediatric Neurology (C.C.G.), Mattel Children's Hospital-UCLA; Departments of Family Medicine and Orthopedics (J.P.D.), Division of Sports Medicine, University of California Los Angeles; Primary Care Sports Medicine (J.P.D.), Hospital for Special Surgery, New York, NY; Matthew Gfeller Sport-Related Traumatic Brain Injury Research Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L.), Wake-Forest and Virginia Tech University, Virginia Tech Carilion Research Institute, Roanoke; School of Biomedical Engineering and Sciences (S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; and NeuroTrauma Research Laboratory (S.P.B.), Michigan Concussion Center, University of Michigan, Ann Arbor
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40
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Puig J, Ellis MJ, Kornelsen J, Figley TD, Figley CR, Daunis-i-Estadella P, Mutch WAC, Essig M. Magnetic Resonance Imaging Biomarkers of Brain Connectivity in Predicting Outcome after Mild Traumatic Brain Injury: A Systematic Review. J Neurotrauma 2020; 37:1761-1776. [DOI: 10.1089/neu.2019.6623] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
- Josep Puig
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Department of Radiology (IDI), Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr. Josep Trueta, Girona, Spain
| | - Michael J. Ellis
- Canada North Concussion Network, Winnipeg, Manitoba, Canada
- Department of Surgery and Pediatrics and Child Health, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Section of Neurosurgery, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Pan Am Concussion Program, Winnipeg, Manitoba, Canada
- Childrens Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - Jennifer Kornelsen
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
- Department of Physiology and Pathophysiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Teresa D. Figley
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
| | - Chase R. Figley
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
- Department of Physiology and Pathophysiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Pepus Daunis-i-Estadella
- Department of Computer Science, Applied Mathematics and Statistics, Universitat de Girona, Girona, Spain
| | - W. Alan C. Mutch
- Canada North Concussion Network, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
- Department of Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Marco Essig
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Canada North Concussion Network, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
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41
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Bartnik-Olson B, Holshouser B, Ghosh N, Oyoyo UE, Nichols JG, Pivonka-Jones J, Tong K, Ashwal S. Evolving White Matter Injury following Pediatric Traumatic Brain Injury. J Neurotrauma 2020; 38:111-121. [PMID: 32515269 DOI: 10.1089/neu.2019.6574] [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: 01/10/2023] Open
Abstract
This study is unique in that it examines the evolution of white matter injury very early and at 12 months post-injury in pediatric patients following traumatic brain injury (TBI). Diffusion tensor imaging (DTI) was acquired at two time-points: acutely at 6-17 days and 12 months following a complicated mild (cMild)/moderate (mod) or severe TBI. Regional measures of anisotropy and diffusivity were compared between TBI groups and against a group of age-matched healthy controls and used to predict performance on measures of attention, memory, and intellectual functioning at 12-months post-injury. Analysis of the acute DTI data using tract based spatial statistics revealed a small number of regional decreases in fractional anisotropy (FA) in both the cMild/mod and severe TBI groups compared with controls. These changes were observed in the occipital white matter, anterior limb of the internal capsule (ALIC)/basal ganglia, and corpus callosum. The severe TBI group showed regional differences in axial diffusivity (AD) in the brainstem and corpus callosum that were not seen in the cMild/mod TBI group. By 12-months, widespread decreases in FA and increases in apparent diffusion coefficient (ADC) and radial diffusivity (RD) were observed in both TBI groups compared with controls, with the overall number of regions with abnormal DTI metrics increasing over time. The early changes in regional DTI metrics were associated with 12-month performance IQ scores. These findings suggest that there may be regional differences in the brain's reparative processes or that mechanisms associated with the brain's plasticity to recover may also be region based.
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Affiliation(s)
- Brenda Bartnik-Olson
- Department of Radiology, Loma Linda University Health, Loma Linda, California, USA
| | - Barbara Holshouser
- Department of Radiology, Loma Linda University Health, Loma Linda, California, USA
| | - Nirmalya Ghosh
- Department of Pediatrics, Loma Linda University Health, Loma Linda, California, USA
| | - Udochukwu E Oyoyo
- Department of Radiology, Loma Linda University Health, Loma Linda, California, USA
| | - Joy G Nichols
- Department of Pediatrics, Loma Linda University Health, Loma Linda, California, USA
| | - Jamie Pivonka-Jones
- Department of Pediatrics, Loma Linda University Health, Loma Linda, California, USA
| | - Karen Tong
- Department of Radiology, Loma Linda University Health, Loma Linda, California, USA
| | - Stephen Ashwal
- Department of Pediatrics, Loma Linda University Health, Loma Linda, California, USA
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42
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Muftuler LT, Meier TB, Keith M, Budde MD, Huber DL, McCrea MA. Serial Diffusion Kurtosis Magnetic Resonance Imaging Study during Acute, Subacute, and Recovery Periods after Sport-Related Concussion. J Neurotrauma 2020; 37:2081-2092. [PMID: 32253977 DOI: 10.1089/neu.2020.6993] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Sport-related concussion (SRC) is common in contact sports, but there remains a lack of reliable, unbiased biomarkers of brain injury and recovery. Although the symptoms of SRC generally resolve over a period of days to weeks, the lack of a biomarker impairs detection and return-to-play decisions. To this date, the pathophysiological recovery profile and relationships between brain changes and symptoms remained unclear. In the current study, diffusion kurtosis imaging (DKI) was used to monitor the effects of SRC on the brain and the trajectory of recovery in concussed American football players (n = 96) at <48 h, and 8, 15, and 45 days post-injury, who were compared with a matched group of uninjured players (n = 82). The concussed group reported significantly higher symptoms within 48 h after injury than controls, which resolved by the 8-day follow-up. The concussed group also demonstrated poorer performance on balance testing at <48 h and 8 days than controls. There were no significant differences between the groups in the Standardized Assessment of Concussion (SAC), a cognitive screening measure. DKI data were acquired with 3 mm isotropic resolution, and analyzed using tract-based spatial statistics (TBSS). Additionally, voxel- and region of interest-based analyses were also conducted. At <48 h, the concussed group showed significantly higher axial kurtosis than the control group. These differences increased in extent and magnitude at 8 days, then receded at 15 days, and returned to the normal levels by 45 days. Kurtosis fractional anisotropy (FA) exhibited a delayed response, with a consistent increase by days 15 and 45. The results indicate that changes detected in the acute period appear to be prolonged compared with clinical recovery, but additional brain changes not observable acutely appear to progress. Although further studies are needed to understand the pathological features of DKI changes after SRC, these findings highlight a potential disparity between clinical symptoms and pathophysiological recovery after SRC.
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Affiliation(s)
- L Tugan Muftuler
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.,Center for Neurotrauma Research, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Timothy B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.,Center for Neurotrauma Research, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Monica Keith
- Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Matthew D Budde
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.,Center for Neurotrauma Research, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Daniel L Huber
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.,Center for Neurotrauma Research, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Michael A McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.,Center for Neurotrauma Research, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
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43
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Davies D, Yakoub KM, Scarpa U, Bentley C, Grey M, Hammond D, Sawlani V, Belli A, Di Pietro V. Serum miR-502: A potential biomarker in the diagnosis of concussion in a pilot study of patients with normal structural brain imaging. JOURNAL OF CONCUSSION 2019. [DOI: 10.1177/2059700219886190] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Establishing a diagnosis of concussion within the context of competitive sport is frequently difficult due to the heterogeneity of presentation. Over the years, many endogenous proteins, including the recent Food and Drug Administration approved for mild-to-moderate traumatic brain injury, glial fibrillary acid protein and ubiquitin carboxy-terminal hydrolase, have been studied as potential biomarkers for the diagnosis of mild traumatic brain injury. Recently, a new class of potential biomarkers, the microRNAs, has shown promise as indicators of traumatic brain injury. In this pilot study, we have analysed the ability of pre-validated serum microRNAs (mi-425-5p and miR-502) to diagnose concussion, in cases without structural pathology. Their performance has been assessed alongside a set of identified protein biomarkers for traumatic brain injury in cohort of 41 concussed athletes. Athletes with a confirmed concussion underwent blood sampling after 48 h from concussion along with magnetic resonance imaging. Serum mi-425-5p and miR-502 were analysed by quantitative reverse transcription polymerase chain reaction, and digital immunoassay was used to determine serum concentrations of ubiquitin carboxy-terminal hydrolase, glial fibrillary acid protein, neurofilament light and Tau. Results were matched with 15 healthy volunteers. No structural/haemorrhagic pathology was identified. Protein biomarkers demonstrated variability among groups reflecting previous performance in the literature. Neurofilament light was the only marker to positively correlate with symptoms reported and SCAT5 scores. Despite the sub optimal timing of sampling beyond the optimal window for many of the protein biomarkers measured, miR-502 was significantly downregulated at all time points within a week form concussion ictus, showing a diagnostic sensitivity in cases beyond 48 h and without structural pathology.
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Affiliation(s)
- David Davies
- Neurotrauma and Ophthalmology Research Group, Institute of Inflammation and Ageing, University of Birmingham, Edgbaston, Birmingham, UK
| | - Kamal M Yakoub
- National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre, Queen Elizabeth Hospital, Edgbaston, Birmingham, UK
| | - Ugo Scarpa
- Neurotrauma and Ophthalmology Research Group, Institute of Inflammation and Ageing, University of Birmingham, Edgbaston, Birmingham, UK
| | - Connor Bentley
- National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre, Queen Elizabeth Hospital, Edgbaston, Birmingham, UK
| | - Michael Grey
- School of Sport and Exercise, University of East Anglia, Norwich, UK
| | - Douglas Hammond
- National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre, Queen Elizabeth Hospital, Edgbaston, Birmingham, UK
| | - Vijay Sawlani
- National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre, Queen Elizabeth Hospital, Edgbaston, Birmingham, UK
| | - Antonio Belli
- Neurotrauma and Ophthalmology Research Group, Institute of Inflammation and Ageing, University of Birmingham, Edgbaston, Birmingham, UK
| | - Valentina Di Pietro
- Neurotrauma and Ophthalmology Research Group, Institute of Inflammation and Ageing, University of Birmingham, Edgbaston, Birmingham, UK
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44
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Abeare CA, Messa I, Zuccato BG, Merker B, Erdodi L. Prevalence of Invalid Performance on Baseline Testing for Sport-Related Concussion by Age and Validity Indicator. JAMA Neurol 2019. [PMID: 29532050 DOI: 10.1001/jamaneurol.2018.0031] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Importance Estimated base rates of invalid performance on baseline testing (base rates of failure) for the management of sport-related concussion range from 6.1% to 40.0%, depending on the validity indicator used. The instability of this key measure represents a challenge in the clinical interpretation of test results that could undermine the utility of baseline testing. Objectives To determine the prevalence of invalid performance on baseline testing and to assess whether the prevalence varies as a function of age and validity indicator. Design, Setting, and Participants This retrospective, cross-sectional study included data collected between January 1, 2012, and December 31, 2016, from a clinical referral center in the Midwestern United States. Participants included 7897 consecutively tested, equivalently proportioned male and female athletes aged 10 to 21 years, who completed baseline neurocognitive testing for the purpose of concussion management. Interventions Baseline assessment was conducted with the Immediate Postconcussion Assessment and Cognitive Testing (ImPACT), a computerized neurocognitive test designed for assessment of concussion. Main Outcomes and Measures Base rates of failure on published ImPACT validity indicators were compared within and across age groups. Hypotheses were developed after data collection but prior to analyses. Results Of the 7897 study participants, 4086 (51.7%) were male, mean (SD) age was 14.71 (1.78) years, 7820 (99.0%) were primarily English speaking, and the mean (SD) educational level was 8.79 (1.68) years. The base rate of failure ranged from 6.4% to 47.6% across individual indicators. Most of the sample (55.7%) failed at least 1 of 4 validity indicators. The base rate of failure varied considerably across age groups (117 of 140 [83.6%] for those aged 10 years to 14 of 48 [29.2%] for those aged 21 years), representing a risk ratio of 2.86 (95% CI, 2.60-3.16; P < .001). Conclusions and Relevance The results for base rate of failure were surprisingly high overall and varied widely depending on the specific validity indicator and the age of the examinee. The strong age association, with 3 of 4 participants aged 10 to 12 years failing validity indicators, suggests that the clinical interpretation and utility of baseline testing in this age group is questionable. These findings underscore the need for close scrutiny of performance validity indicators on baseline testing across age groups.
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Affiliation(s)
| | - Isabelle Messa
- Department of Psychology, University of Windsor, Windsor, Ontario, Canada
| | - Brandon G Zuccato
- Department of Psychology, University of Windsor, Windsor, Ontario, Canada
| | - Bradley Merker
- Department of Behavioral Health, Henry Ford Health System, Detroit, Michigan
| | - Laszlo Erdodi
- Department of Psychology, University of Windsor, Windsor, Ontario, Canada
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Wilde EA, Newsome MR, Ott SD, Hunter JV, Dash P, Redell J, Spruiell M, Diaz M, Chu ZD, Goodrich-Hunsaker N, Petrie J, Li R, Levin H. Persistent Disruption of Brain Connectivity after Sports-Related Concussion in a Female Athlete. J Neurotrauma 2019; 36:3164-3171. [PMID: 31119974 DOI: 10.1089/neu.2019.6377] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Structural and functional connectivity (FC) after sports-related concussion (SRC) may remain altered in adolescent athletes despite symptom resolution. Little is known, however, about how alterations in structural connectivity and FC co-present in female athletes whose symptom recovery tends to be prolonged. Despite resolution of symptoms, one month after her second SRC, an 18-year-old female athlete had decreased structural connectivity in the corpus callosum and cingulum, with altered FC near those regions, compared with other SRC and orthopedically injured athletes. Findings show persistent effects of SRC on advanced brain imaging and the possibility of greater vulnerability of white matter tracts in females.
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Affiliation(s)
- Elisabeth A Wilde
- Michael E. De Bakey Veterans Affairs Medical Center, Houston, Texas.,Baylor College of Medicine, Houston, Texas.,University of Utah, Salt Lake City, Utah.,George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah
| | - Mary R Newsome
- Michael E. De Bakey Veterans Affairs Medical Center, Houston, Texas.,Baylor College of Medicine, Houston, Texas
| | - Summer D Ott
- University of Texas, Health Science Center at Houston - UTHealth, Houston, Texas
| | - Jill V Hunter
- Baylor College of Medicine, Houston, Texas.,Texas Children's Hospital, Houston, Texas
| | - Pramod Dash
- University of Texas, Health Science Center at Houston - UTHealth, Houston, Texas
| | - John Redell
- University of Texas, Health Science Center at Houston - UTHealth, Houston, Texas
| | | | - Marlene Diaz
- Michael E. De Bakey Veterans Affairs Medical Center, Houston, Texas.,Baylor College of Medicine, Houston, Texas
| | - Zili D Chu
- Baylor College of Medicine, Houston, Texas
| | | | | | - Ruosha Li
- University of Texas, Health Science Center at Houston - UTHealth, Houston, Texas
| | - Harvey Levin
- Michael E. De Bakey Veterans Affairs Medical Center, Houston, Texas.,Baylor College of Medicine, Houston, Texas
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46
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Use of diffusion tension imaging in the evaluation of pediatric concussions. Musculoskelet Sci Pract 2019; 42:162-165. [PMID: 31085066 DOI: 10.1016/j.msksp.2019.05.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 04/24/2019] [Accepted: 05/02/2019] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To evaluate whether quantitative metrics of white matter fractional anisotropy (FA) and mean diffusivity (MD) were different in patients presenting to our clinic with persistent symptoms after a concussion. DESIGN Matched control retrospective study. SETTING Primary not-for-profit Institution. PATIENTS Consecutive patients seen at a primary care institution's Sports Concussion Clinic for sport-related concussion that underwent diffusion tensor imaging. Interventions (Independent variables): Type of sports, days from Injury, number of symptoms, weeks out when Magnetic Resonance Imaging (MRI) ordered, history of psychological issues, length of symptoms, age, sex, MRI imaging data. MAIN OUTCOME MEASURE Difference in white matter FA and MD. RESULTS Seventeen concussion patients, ages 9 and 17 (average = 12.5 years; median = 13 years, 11 males and 6 females), were matched with age and gender controls who had an MRI following a complaint of headache. Patients reported an average of 11.5 concussion symptoms, out of a total possible 22 and were seen at an average of 30 days post injury. No region met tract based spatial statistics criteria for significant differences between concussed and healthy control groups (all p > 0.05). Similarly, when comparing group averages from the atlas based regional summaries, no region met the 0.2 false discovery rate (FDR) threshold for significant differences (the smallest unadjusted p-values were 0.02 for MD and 0.14 for FA). CONCLUSIONS Our results did not show measurable diffusion tensor imaging (DTI) changes with standard clinical data acquisition and quantitative processing for the individual patient. At this time DTI should not be considered a technique that can diagnose concussion within an individual subject.
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47
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Abstract
Although concussion has been a subject of interest for centuries, this condition remains poorly understood. The mechanistic underpinnings and accepted definition of concussion remain elusive. To make sense of these issues, this article presents a brief history of concussion studies, detailing the evolution of motivations and experimental conclusions over time. Interest in concussion as a subject of scientific inquiry has increased with growing concern about the long-term consequences of mild traumatic brain injury (TBI). Although concussion is often associated with mild TBI, these conditions-the former a neurological syndrome, the latter a neurological event-are distinct, both mechanistically and pathobiologically. Modern research primarily focuses on the study of the biomechanics, pathophysiology, potential biomarkers and neuroimaging to distinguish concussion from mild TBI. In addition, mild TBI and concussion outcomes are influenced by age, sex, and genetic differences in people. With converging experimental objectives and methodologies, future concussion research has the potential to improve clinical assessment, treatment, and preventative measures.
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48
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Mild traumatic brain injury: The effect of age at trauma onset on brain structure integrity. NEUROIMAGE-CLINICAL 2019; 23:101907. [PMID: 31233955 PMCID: PMC6595074 DOI: 10.1016/j.nicl.2019.101907] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 06/16/2019] [Accepted: 06/17/2019] [Indexed: 12/14/2022]
Abstract
Mounting evidence suggests that mild traumatic brain injuries (mTBI) have long-term effects that interact with the aging process to precipitate cognitive decline. This line of research predicts that early exposure to brain trauma is particularly detrimental to long-term brain integrity. However, a second line of research into the effects of age at trauma onset predict that older brains are more vulnerable to the effects of mTBI than younger brains. We sought to determine whether patients who sustain a mTBI earlier in life fare better than patients who sustain a mTBI at an older age. We conducted a multi-cohort, case-control study, with participants randomly sampled from a population of patients with a history of mTBI. We recruited two cohorts of aging participants (N = 74, mean [SD] = 61.16 [6.41]) matched in age and education levels that differed in only one respect: age at mTBI onset. One cohort sustained their concussion in their early twenties (24.60 [6.34] y/o), the other in their early sixties (61.05 [4.90] y/o). Each mTBI cohort had its own matched control group. Participants underwent high-resolution MRI at 3 Tesla for T1 and diffusion-weighted images (DWI) acquisition. Images were processed and analyzed using Deformation-Based Morphometry and DWI Tract-Based Spatial Statistics to identify group differences in a 2 × 2 ANOVA design. Results showed a significant interaction on DWI measures of white matter integrity indicating larger anomalies in participants who sustained a mTBI at a younger age (F1,70, P < .05, FDR corrected). These findings suggest that mTBI initiates a lifelong neurodegeneration process that outweighs the risks associated with sustaining a mTBI at an older age. Implications are important for young athletes' populations exposed to the risk of mTBI in the practice of their sports and for retired athletes aging with a history of concussions sustained at a younger age. In aging adults, early-life mTBI leads to worst brain outcome than late-life mTBI. Brain anomalies are mostly visible using DWI measures of white matter integrity. Brain anomalies are visible even in neurologically normal individuals.
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49
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Wallace EJ, Mathias JL, Ward L. Diffusion tensor imaging changes following mild, moderate and severe adult traumatic brain injury: a meta-analysis. Brain Imaging Behav 2019; 12:1607-1621. [PMID: 29383621 DOI: 10.1007/s11682-018-9823-2] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Diffusion tensor imaging quantifies the asymmetry (fractional anisotropy; FA) and amount of water diffusion (mean diffusivity/apparent diffusion coefficient; MD/ADC) and has been used to assess white matter damage following traumatic brain injury (TBI). In healthy brains, diffusion is constrained by the organization of axons, resulting in high FA and low MD/ADC. Following a TBI, diffusion may be altered; however the exact nature of these changes has yet to be determined. A meta-analysis was therefore conducted to determine the location and extent of changes in DTI following adult TBI. The data from 44 studies that compared the FA and/or MD/ADC data from TBI and Control participants in different regions of interest (ROIs) were analyzed. The impact of injury severity, post-injury interval (acute: ≤ 1 week, subacute: 1 week-3 months, chronic: > 3 months), scanner details and acquisition parameters were investigated in subgroup analyses, with the findings indicating that mild TBI should be examined separately to that of moderate to severe injuries. Lower FA values were found in 88% of brain regions following mild TBI and 92% following moderate-severe TBI, compared to Controls. MD/ADC was higher in 95% and 100% of brain regions following mild and moderate-severe TBI, respectively. Moderate to severe TBI resulted in larger changes in FA and MD/ADC than mild TBI. Overall, changes to FA and MD/ADC were widespread, reflecting more symmetric and a higher amount of diffusion, indicative of white matter damage.
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Affiliation(s)
- Erica J Wallace
- School of Psychology, Faculty of Medical & Health Sciences, University of Adelaide, Adelaide, Australia
| | - Jane L Mathias
- School of Psychology, Faculty of Medical & Health Sciences, University of Adelaide, Adelaide, Australia.
| | - Lynn Ward
- School of Psychology, Faculty of Medical & Health Sciences, University of Adelaide, Adelaide, Australia
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50
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Jacquin A, Kanakia S, Oberly D, Prichep LS. A multimodal biomarker for concussion identification, prognosis and management. Comput Biol Med 2018; 102:95-103. [DOI: 10.1016/j.compbiomed.2018.09.011] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 09/12/2018] [Accepted: 09/13/2018] [Indexed: 11/30/2022]
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