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Delteil C, Manlius T, Bailly N, Godio-Raboutet Y, Piercecchi-Marti MD, Tuchtan L, Hak JF, Velly L, Simeone P, Thollon L. Traumatic axonal injury: Clinic, forensic and biomechanics perspectives. Leg Med (Tokyo) 2024; 70:102465. [PMID: 38838409 DOI: 10.1016/j.legalmed.2024.102465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/21/2024] [Accepted: 06/01/2024] [Indexed: 06/07/2024]
Abstract
Identification of Traumatic axonal injury (TAI) is critical in clinical practice, particularly in terms of long-term prognosis, but also for medico-legal issues, to verify whether the death or the after-effects were attributable to trauma. Multidisciplinary approaches are an undeniable asset when it comes to solving these problems. The aim of this work is therefore to list the different techniques needed to identify axonal lesions and to understand the lesion mechanisms involved in their formation. Imaging can be used to assess the consequences of trauma, to identify indirect signs of TAI, to explain the patient's initial symptoms and even to assess the patient's prognosis. Three-dimensional reconstructions of the skull can highlight fractures suggestive of trauma. Microscopic and immunohistochemical techniques are currently considered as the most reliable tools for the early identification of TAI following trauma. Finite element models use mechanical equations to predict biomechanical parameters, such as tissue stresses and strains in the brain, when subjected to external forces, such as violent impacts to the head. These parameters, which are difficult to measure experimentally, are then used to predict the risk of injury. The integration of imaging data with finite element models allows researchers to create realistic and personalized computational models by incorporating actual geometry and properties obtained from imaging techniques. The personalization of these models makes their forensic approach particularly interesting.
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Affiliation(s)
- Clémence Delteil
- Forensic Department, Assistance Publique-Hôpitaux de Marseille, La Timone, 264 rue St Pierre, 13385 Marseille Cedex 05, France; Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France.
| | - Thais Manlius
- Aix Marseille Univ, Univ Gustave Eiffel, LBA, Marseille, France.
| | - Nicolas Bailly
- Aix Marseille Univ, Univ Gustave Eiffel, LBA, Marseille, France; Neuroimagery Department, Assistance Publique-Hôpitaux de Marseille, La Timone, 264 rue St Pierre, 13385 Marseille Cedex 05, France.
| | | | - Marie-Dominique Piercecchi-Marti
- Forensic Department, Assistance Publique-Hôpitaux de Marseille, La Timone, 264 rue St Pierre, 13385 Marseille Cedex 05, France; Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France.
| | - Lucile Tuchtan
- Forensic Department, Assistance Publique-Hôpitaux de Marseille, La Timone, 264 rue St Pierre, 13385 Marseille Cedex 05, France; Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France.
| | | | - Lionel Velly
- Département d'Anesthésie-Réanimation, Assistance Publique-Hôpitaux de Marseille, La Timone, Marseille, France; Université Aix-Marseille/CNRS, Institut des Neurosciences de la Timone, UMR7289, Marseille, France.
| | - Pierre Simeone
- Département d'Anesthésie-Réanimation, Assistance Publique-Hôpitaux de Marseille, La Timone, Marseille, France; Université Aix-Marseille/CNRS, Institut des Neurosciences de la Timone, UMR7289, Marseille, France.
| | - Lionel Thollon
- Aix Marseille Univ, Univ Gustave Eiffel, LBA, Marseille, France.
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Shahim P, Pham DL, van der Merwe AJ, Moore B, Chou YY, Lippa SM, Kenney K, Diaz-Arrastia R, Chan L. Serum NfL and GFAP as biomarkers of progressive neurodegeneration in TBI. Alzheimers Dement 2024. [PMID: 38805359 DOI: 10.1002/alz.13898] [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: 11/29/2023] [Revised: 04/01/2024] [Accepted: 04/12/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND We examined spatial patterns of brain atrophy after mild, moderate, and severe traumatic brain injury (TBI), the relationship between progression of brain atrophy with initial traumatic axonal injury (TAI), cognitive outcome, and with serum biomarkers of brain injury. METHODS A total of 143 patients with TBI and 43 controls were studied cross-sectionally and longitudinally up to 5 years with multiple assessments, which included brain magnetic resonance imaging, cognitive testing, and serum biomarkers. RESULTS TBI patients showed progressive volume loss regardless of injury severity over several years, and TAI was independently associated with accelerated brain atrophy. Cognitive performance improved over time. Higher baseline serum neurofilament light (NfL) and glial fibrillary acidic protein (GFAP) were associated with greater rate of brain atrophy over 5 years. DISCUSSSION Spatial patterns of atrophy differ by injury severity and TAI is associated with the progression of brain atrophy. Serum NfL and GFAP show promise as non-invasive prognostic biomarkers of progressive neurodegeneration in TBI. HIGHLIGHTS In this longitudinal study of patient with mild, moderate, and severe traumatic brain injury (TBI) who were assessed with paired magnetic resonance imaging (MRI), blood biomarkers, and cognitive assessments, we found that brain atrophy after TBI is progressive and continues for many years even after a mild head trauma without signs of brain injury on conventional MRI. We found that spatial pattern of brain atrophy differs between mild, moderate, and severe TBI, where in patients with mild TBI , atrophy is mainly seen in the gray matter, while in those with moderate to severe brain injury atrophy is predominantly seen in the subcortical gray matter and whiter matter. Cognitive performance improves over time after a TBI. Serum measures of neurofilament light or glial fibrillary acidic protein are associated with progression of brain atrophy after TBI.
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Affiliation(s)
- Pashtun Shahim
- Rehabilitation Medicine Department, National Institutes of Health (NIH) Clinical Center, Bethesda, Maryland, USA
- National Institutes of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, USA
- Department of Neurology, MedStar Georgetown University Hospital, Pasquerilla Healthcare Center, Washington, District of Columbia, USA
- The Military Traumatic Brain Injury Initiative (MTBI2), Bethesda, Maryland, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland, USA
| | - Dzung L Pham
- The Military Traumatic Brain Injury Initiative (MTBI2), Bethesda, Maryland, USA
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Andre J van der Merwe
- Rehabilitation Medicine Department, National Institutes of Health (NIH) Clinical Center, Bethesda, Maryland, USA
- The Military Traumatic Brain Injury Initiative (MTBI2), Bethesda, Maryland, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland, USA
| | - Brian Moore
- Rehabilitation Medicine Department, National Institutes of Health (NIH) Clinical Center, Bethesda, Maryland, USA
- The Military Traumatic Brain Injury Initiative (MTBI2), Bethesda, Maryland, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland, USA
| | - Yi-Yu Chou
- The Military Traumatic Brain Injury Initiative (MTBI2), Bethesda, Maryland, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland, USA
| | - Sara M Lippa
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Kimbra Kenney
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Leighton Chan
- Rehabilitation Medicine Department, National Institutes of Health (NIH) Clinical Center, Bethesda, Maryland, USA
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Jacquens A, Csaba Z, Soleimanzad H, Bokobza C, Delmotte PR, Userovici C, Boussemart P, Chhor V, Bouvier D, van de Looij Y, Faivre V, Diao S, Lemoine S, Blugeon C, Schwendimann L, Young-Ten P, Naffaa V, Laprevote O, Tanter M, Dournaud P, Van Steenwinckel J, Degos V, Gressens P. Deleterious effect of sustained neuroinflammation in pediatric traumatic brain injury. Brain Behav Immun 2024; 120:99-116. [PMID: 38705494 DOI: 10.1016/j.bbi.2024.04.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 04/15/2024] [Accepted: 04/22/2024] [Indexed: 05/07/2024] Open
Abstract
INTRODUCTION Despite improved management of traumatic brain injury (TBI), it still leads to lifelong sequelae and disability, particularly in children. Chronic neuroinflammation (the so-called tertiary phase), in particular, microglia/macrophage and astrocyte reactivity, is among the main mechanisms suspected of playing a role in the generation of lesions associated with TBI. The role of acute neuroinflammation is now well understood, but its persistent effect and impact on the brain, particularly during development, are not. Here, we investigated the long-term effects of pediatric TBI on the brain in a mouse model. METHODS Pediatric TBI was induced in mice on postnatal day (P) 7 by weight-drop trauma. The time course of neuroinflammation and myelination was examined in the TBI mice. They were also assessed by magnetic resonance, functional ultrasound, and behavioral tests at P45. RESULTS TBI induced robust neuroinflammation, characterized by acute microglia/macrophage and astrocyte reactivity. The long-term consequences of pediatric TBI studied on P45 involved localized scarring astrogliosis, persistent microgliosis associated with a specific transcriptomic signature, and a long-lasting myelination defect consisting of the loss of myelinated axons, a decreased level of myelin binding protein, and severe thinning of the corpus callosum. These results were confirmed by reduced fractional anisotropy, measured by diffusion tensor imaging, and altered inter- and intra-hemispheric connectivity, measured by functional ultrasound imaging. In addition, adolescent mice with pediatric TBI showed persistent social interaction deficits and signs of anxiety and depressive behaviors. CONCLUSIONS We show that pediatric TBI induces tertiary neuroinflammatory processes associated with white matter lesions and altered behavior. These results support our model as a model for preclinical studies for tertiary lesions following TBI.
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Affiliation(s)
- Alice Jacquens
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France; Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013 Paris, France.
| | - Zsolt Csaba
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Haleh Soleimanzad
- Physics for Medicine Paris, Inserm, ESPCI Paris, PSL Research University, CNRS, 75005 Paris, France
| | - Cindy Bokobza
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | | | | | | | - Vibol Chhor
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Damien Bouvier
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Yohan van de Looij
- Université de Genève, Service Développement et Croissance, Département de Pédiatrie, Faculté de Médecine, 1211 Genève, Suisse; Centre d'Imagerie Biomédicale, Section Technologie d'Imagerie Animale, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Suisse
| | - Valérie Faivre
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Siaho Diao
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Sophie Lemoine
- Genomics Core Facility, Département de Biologie, École Normale Supérieure, Institut de Biologie de l'ENS (IBENS), CNRS, INSERM, Université PSL, Paris, France
| | - Corinne Blugeon
- Genomics Core Facility, Département de Biologie, École Normale Supérieure, Institut de Biologie de l'ENS (IBENS), CNRS, INSERM, Université PSL, Paris, France
| | | | | | - Vanessa Naffaa
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Olivier Laprevote
- Université de Paris, CNRS, CiTCoM, 75006 Paris, France; Hôpital Européen Georges Pompidou, AP-HP, Service de Biochimie, 75015 Paris, France
| | - Mickael Tanter
- Physics for Medicine Paris, Inserm, ESPCI Paris, PSL Research University, CNRS, 75005 Paris, France
| | - Pascal Dournaud
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | | | - Vincent Degos
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France; Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care Medicine, Pitié-Salpêtrière Hospital, 47-83, boulevard de l'Hôpital, 75013 Paris, France
| | - Pierre Gressens
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
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Cox CS, Notrica DM, Juranek J, Miller JH, Triolo F, Kosmach S, Savitz SI, Adelson PD, Pedroza C, Olson SD, Scott MC, Kumar A, Aertker BM, Caplan HW, Jackson ML, Gill BS, Hetz RA, Lavoie MS, Ewing-Cobbs L. Autologous bone marrow mononuclear cells to treat severe traumatic brain injury in children. Brain 2024; 147:1914-1925. [PMID: 38181433 PMCID: PMC11068104 DOI: 10.1093/brain/awae005] [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: 08/01/2023] [Revised: 11/29/2023] [Accepted: 12/30/2023] [Indexed: 01/07/2024] Open
Abstract
Autologous bone marrow mononuclear cells (BMMNCs) infused after severe traumatic brain injury have shown promise for treating the injury. We evaluated their impact in children, particularly their hypothesized ability to preserve the blood-brain barrier and diminish neuroinflammation, leading to structural CNS preservation with improved outcomes. We performed a randomized, double-blind, placebo-sham-controlled Bayesian dose-escalation clinical trial at two children's hospitals in Houston, TX and Phoenix, AZ, USA (NCT01851083). Patients 5-17 years of age with severe traumatic brain injury (Glasgow Coma Scale score ≤ 8) were randomized to BMMNC or placebo (3:2). Bone marrow harvest, cell isolation and infusion were completed by 48 h post-injury. A Bayesian continuous reassessment method was used with cohorts of size 3 in the BMMNC group to choose the safest between two doses. Primary end points were quantitative brain volumes using MRI and microstructural integrity of the corpus callosum (diffusivity and oedema measurements) at 6 months and 12 months. Long-term functional outcomes and ventilator days, intracranial pressure monitoring days, intensive care unit days and therapeutic intensity measures were compared between groups. Forty-seven patients were randomized, with 37 completing 1-year follow-up (23 BMMNC, 14 placebo). BMMNC treatment was associated with an almost 3-day (23%) reduction in ventilator days, 1-day (16%) reduction in intracranial pressure monitoring days and 3-day (14%) reduction in intensive care unit (ICU) days. White matter volume at 1 year in the BMMNC group was significantly preserved compared to placebo [decrease of 19 891 versus 40 491, respectively; mean difference of -20 600, 95% confidence interval (CI): -35 868 to -5332; P = 0.01], and the number of corpus callosum streamlines was reduced more in placebo than BMMNC, supporting evidence of preserved corpus callosum connectivity in the treated groups (-431 streamlines placebo versus -37 streamlines BMMNC; mean difference of -394, 95% CI: -803 to 15; P = 0.055), but this did not reach statistical significance due to high variability. We conclude that autologous BMMNC infusion in children within 48 h after severe traumatic brain injury is safe and feasible. Our data show that BMMNC infusion led to: (i) shorter intensive care duration and decreased ICU intensity; (ii) white matter structural preservation; and (iii) enhanced corpus callosum connectivity and improved microstructural metrics.
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Affiliation(s)
- Charles S Cox
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
- Program in Pediatric Regenerative Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - David M Notrica
- Department of Pediatric Surgery, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
| | - Jenifer Juranek
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
- Program in Pediatric Regenerative Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Jeffrey H Miller
- Department of Radiology, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
| | - Fabio Triolo
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
- Program in Pediatric Regenerative Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Steven Kosmach
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Sean I Savitz
- Department of Neurology, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - P David Adelson
- Department of Pediatric Neurosurgery, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
| | - Claudia Pedroza
- Department of Pediatrics, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Scott D Olson
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
- Program in Pediatric Regenerative Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Michael C Scott
- Department of Pediatric Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Akshita Kumar
- Department of Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Benjamin M Aertker
- Department of Neurology, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Henry W Caplan
- Department of Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Margaret L Jackson
- Department of Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Brijesh S Gill
- Department of Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Robert A Hetz
- Department of Surgery, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
| | - Michael S Lavoie
- Department of Psychology, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
| | - Linda Ewing-Cobbs
- Department of Pediatrics, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX 77030, USA
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Zimmerman KA, Hain JA, Graham NSN, Rooney EJ, Lee Y, Del-Giovane M, Parker TD, Friedland D, Cross MJ, Kemp S, Wilson MG, Sylvester RJ, Sharp DJ. Prospective cohort study of long-term neurological outcomes in retired elite athletes: the Advanced BiomaRker, Advanced Imaging and Neurocognitive (BRAIN) Health Study protocol. BMJ Open 2024; 14:e082902. [PMID: 38663922 PMCID: PMC11043776 DOI: 10.1136/bmjopen-2023-082902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
INTRODUCTION Although limited, recent research suggests that contact sport participation might have an adverse long-term effect on brain health. Further work is required to determine whether this includes an increased risk of neurodegenerative disease and/or subsequent changes in cognition and behaviour. The Advanced BiomaRker, Advanced Imaging and Neurocognitive Health Study will prospectively examine the neurological, psychiatric, psychological and general health of retired elite-level rugby union and association football/soccer players. METHODS AND ANALYSIS 400 retired athletes will be recruited (200 rugby union and 200 association football players, male and female). Athletes will undergo a detailed clinical assessment, advanced neuroimaging, blood testing for a range of brain health outcomes and neuropsychological assessment longitudinally. Follow-up assessments will be completed at 2 and 4 years after baseline visit. 60 healthy volunteers will be recruited and undergo an aligned assessment protocol including advanced neuroimaging, blood testing and neuropsychological assessment. We will describe the previous exposure to head injuries across the cohort and investigate relationships between biomarkers of brain injury and clinical outcomes including cognitive performance, clinical diagnoses and psychiatric symptom burden. ETHICS AND DISSEMINATION Relevant ethical approvals have been granted by the Camberwell St Giles Research Ethics Committee (Ref: 17/LO/2066). The study findings will be disseminated through manuscripts in clinical/academic journals, presentations at professional conferences and through participant and stakeholder communications.
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Affiliation(s)
- Karl A Zimmerman
- Centre for Care, Research and Technology, UK Dementia Research Institute, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
- Centre for Injury Studies, Imperial College London, London, UK
| | - Jessica A Hain
- Centre for Care, Research and Technology, UK Dementia Research Institute, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Neil S N Graham
- Centre for Care, Research and Technology, UK Dementia Research Institute, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
- Centre for Injury Studies, Imperial College London, London, UK
| | - Erin Jane Rooney
- Centre for Care, Research and Technology, UK Dementia Research Institute, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
- Institute of Sport, Exercise and Health (ISEH), University College London, London, UK
| | - Ying Lee
- Centre for Care, Research and Technology, UK Dementia Research Institute, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
- Institute of Sport, Exercise and Health (ISEH), University College London, London, UK
| | - Martina Del-Giovane
- Centre for Care, Research and Technology, UK Dementia Research Institute, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Thomas D Parker
- Centre for Care, Research and Technology, UK Dementia Research Institute, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
- Department of Neurodegenerative Disease, The Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Daniel Friedland
- Department of Brain Sciences, Imperial College London, London, UK
- Institute of Sport, Exercise and Health (ISEH), University College London, London, UK
| | - Matthew J Cross
- Carnegie Applied Rugby Research Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- Premiership Rugby, London, UK
| | - Simon Kemp
- Rugby Football Union, Twickenham, UK
- London School of Hygiene & Tropical Medicine, London, UK
| | - Mathew G Wilson
- Institute of Sport, Exercise and Health (ISEH), University College London, London, UK
- HCA Healthcare Research Institute, London, UK
| | - Richard J Sylvester
- Institute of Sport, Exercise and Health (ISEH), University College London, London, UK
- Acute Stroke and Brain Injury Unit, National Hospital for Neurology and Neurosurgery, London, UK
| | - David J Sharp
- Centre for Care, Research and Technology, UK Dementia Research Institute, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
- Centre for Injury Studies, Imperial College London, London, UK
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6
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Domínguez D JF, Stewart A, Burmester A, Akhlaghi H, O'Brien K, Bollmann S, Caeyenberghs K. Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level. Z Med Phys 2024:S0939-3889(24)00001-1. [PMID: 38336583 DOI: 10.1016/j.zemedi.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 12/19/2023] [Accepted: 01/07/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Emerging evidence suggests that traumatic brain injury (TBI) is a major risk factor for developing neurodegenerative disease later in life. Quantitative susceptibility mapping (QSM) has been used by an increasing number of studies in investigations of pathophysiological changes in TBI. However, generating artefact-free quantitative susceptibility maps in brains with large focal lesions, as in the case of moderate-to-severe TBI (ms-TBI), is particularly challenging. To address this issue, we utilized a novel two-pass masking technique and reconstruction procedure (two-pass QSM) to generate quantitative susceptibility maps (QSMxT; Stewart et al., 2022, Magn Reson Med.) in combination with the recently developed virtual brain grafting (VBG) procedure for brain repair (Radwan et al., 2021, NeuroImage) to improve automated delineation of brain areas. We used QSMxT and VBG to generate personalised QSM profiles of individual patients with reference to a sample of healthy controls. METHODS Chronic ms-TBI patients (N = 8) and healthy controls (N = 12) underwent (multi-echo) GRE, and anatomical MRI (MPRAGE) on a 3T Siemens PRISMA scanner. We reconstructed the magnetic susceptibility maps using two-pass QSM from QSMxT. We then extracted values of magnetic susceptibility in grey matter (GM) regions (following brain repair via VBG) across the whole brain and determined if they deviate from a reference healthy control group [Z-score < -3.43 or > 3.43, relative to the control mean], with the aim of obtaining personalised QSM profiles. RESULTS Using two-pass QSM, we achieved susceptibility maps with a substantial increase in quality and reduction in artefacts irrespective of the presence of large focal lesions, compared to single-pass QSM. In addition, VBG minimised the loss of GM regions and exclusion of patients due to failures in the region delineation step. Our findings revealed deviations in magnetic susceptibility measures from the HC group that differed across individual TBI patients. These changes included both increases and decreases in magnetic susceptibility values in multiple GM regions across the brain. CONCLUSIONS We illustrate how to obtain magnetic susceptibility values at the individual level and to build personalised QSM profiles in ms-TBI patients. Our approach opens the door for QSM investigations in more severely injured patients. Such profiles are also critical to overcome the inherent heterogeneity of clinical populations, such as ms-TBI, and to characterize the underlying mechanisms of neurodegeneration at the individual level more precisely. Moreover, this new personalised QSM profiling could in the future assist clinicians in assessing recovery and formulating a neuroscience-guided integrative rehabilitation program tailored to individual TBI patients.
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Affiliation(s)
- Juan F Domínguez D
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
| | - Ashley Stewart
- School of Information Technology and Electrical Engineering, Faculty of Engineering, Architecture, and Information Technology, The University of Queensland, Brisbane, Australia
| | - Alex Burmester
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
| | - Hamed Akhlaghi
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia; Department of Emergency Medicine, St. Vincent's Hospital, Melbourne, Australia
| | - Kieran O'Brien
- Siemens Healthcare Pty Ltd, Brisbane, Queensland, Australia
| | - Steffen Bollmann
- School of Information Technology and Electrical Engineering, Faculty of Engineering, Architecture, and Information Technology, The University of Queensland, Brisbane, Australia; Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
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7
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Campana S, Cecchetti L, Venturi M, Buemi F, Foti C, Cerasa A, Vicario CM, Carboncini MC, Tomaiuolo F. Evolution of Severe Closed Head Injury: Assessing Ventricular Volume and Behavioral Measures at 30 and 90 Days Post-Injury. J Clin Med 2024; 13:874. [PMID: 38337568 PMCID: PMC10856794 DOI: 10.3390/jcm13030874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/22/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
Background: Assessing functional outcomes in Severe Closed Head Injury (SCHI) is complex due to brain parenchymal changes. This study examines the Ventricles to Intracranial Volume Ratio (VBR) as a metric for these changes and its correlation with behavioral scales. Methods: Thirty-one SCHI patients were included. VBR was derived from CT scans at 3, 30, and 90 days post-injury and compared with Levels of Cognitive Functioning (LCF), Disability Rating Scale (DRS), and Early Rehabilitation Barthel Index (ERBI) assessments at 30 and 90 days. Results: Ten patients were excluded post-decompressive craniectomy or ventriculoperitoneal shunt. Findings indicated a VBR decrease at 3 days, suggesting acute phase compression, followed by an increase from 30 to 90 days, indicative of post-acute brain atrophy. VBR correlated positively with the Marshall score in the initial 72 h, positioning it as an early indicator of subsequent brain atrophy. Nevertheless, in contrast to the Marshall score, VBR had stronger associations with DRS and ERBI at 90 days. Conclusions: VBR, alongside behavioral assessments, presents a robust framework for evaluating SCHI progression. It supports early functional outcome correlations informing therapeutic approaches. VBR's reliability underscores its utility in neurorehabilitation for ongoing SCHI assessment and aiding clinical decisions.
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Affiliation(s)
- Serena Campana
- Neurorehabilitation Unit, Auxilium Vitae Volterra, Via Borgo San Lazzero 5, 56048 Volterra, Italy;
| | - Luca Cecchetti
- Social and Affective Neuroscience (SANe) Group, MoMiLab, IMT School for Advanced Studies Lucca, 55100 Lucca, Italy
| | - Martina Venturi
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy;
| | - Francesco Buemi
- Department of Diagnostic and Interventional Radiology, Azienda Ospedaliera Papardo, 98158 Messina, Italy;
| | - Cristina Foti
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy;
| | - Antonio Cerasa
- Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy, 98164 Messina, Italy;
- S. Anna Institute, 88900 Crotone, Italy
- Pharmacotechnology Documentation and Transfer Unit, Preclinical and Translational Pharmacology, Department of Pharmacy, Health Science and Nutrition, University of Calabria, 87036 Rende, Italy
| | - Carmelo Mario Vicario
- Department of Cognitive Sciences, Psychology, Education and Cultural Studies, University of Messina, 98125 Messina, Italy;
| | - Maria Chiara Carboncini
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy;
| | - Francesco Tomaiuolo
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy;
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8
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Zuo L, Tian T, Wang B, Gu H, Wang S. Microstructural white matter abnormalities in overactive bladder syndrome evaluation with diffusion kurtosis imaging tract-based spatial statistics analysis. World J Urol 2024; 42:36. [PMID: 38217714 DOI: 10.1007/s00345-023-04709-0] [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: 05/02/2023] [Accepted: 10/16/2023] [Indexed: 01/15/2024] Open
Abstract
PURPOSE This prospective study aimed to explore the microstructural alterations of the white matter in overactive bladder syndrome (OAB) using the Tract-based Spatial Statistics (TBSS) method of diffusion kurtosis imaging (DKI). METHODS A total of 30 patients were enrolled and compared with 30 controls. White matter (WM) status was assessed using tract-based spatial statistics for DKI. The differences in DKI-derived parameters, including kurtosis fractional anisotropy (KFA), fractional anisotropy (FA), mean kurtosis (MK), mean diffusivity (MD), radial kurtosis (RK), axial kurtosis (AK), axial diffusivity (AD), and radial diffusivity (RD), were compared between the two groups using the TBSS method. The correlation between the altered DKI-derived parameters and the (OABSS) scores was analyzed. A receiver operating characteristic curve (ROC) was used to evaluate the diagnostic performance of different white matter parameters. RESULTS As a result, compared with the HC group, the KFA, and FA values decreased significantly in the OAB group. Compared with the HC group, the MK and MD values increased significantly in the OAB group. The KFA values of the genu of corpus callosum (GCC) were significantly correlated with the OABSS scores (r = - 0.509; p = 0.004). The FA values of anterior corona radiata (ACR) were significantly correlated with OABSS scores (r = - 0.447; p = 0.013). The area under the ROC curve (AUC) for the genu of corpus callosum KFA values was higher than FA for the diagnosis of OAB patients. CONCLUSION DKI is a promising approach to the investigation of the pathophysiology of OAB and a potential biomarker for clinical diagnosis of OAB.
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Affiliation(s)
- Long Zuo
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China
| | - Tian Tian
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China
| | - Biao Wang
- Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Hua Gu
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China
| | - Shuangkun Wang
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China.
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9
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Bahader GA, Naghavi F, Alotaibi A, Dehghan A, Swain CC, Burkett JP, Shah ZA. Neurobehavioral and inflammatory responses following traumatic brain injury in male and female mice. Behav Brain Res 2024; 456:114711. [PMID: 37827252 PMCID: PMC10615863 DOI: 10.1016/j.bbr.2023.114711] [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: 06/30/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 10/14/2023]
Abstract
Traumatic brain injury (TBI) is a leading cause of mortality and is associated with a high rate of functional comorbidities, including motor, cognitive, anxiety, depression, and emotional disorders. TBI pathophysiology and recovery are complicated and involve several mechanistic pathways that control neurobehavioral outcomes. In this study, male and female C57Bl/6 J mice were subjected to a controlled cortical impact model of TBI or sham injury and evaluated for different neurobehavioral and inflammatory outcomes over a month. We demonstrate that TBI mice have increased motor dysfunction at early and late time points following the injury as compared to the sham group. Anxiety-like symptoms were time- and task-dependent, with both sexes having increased anxiety-like behavior 2 weeks post-injury. Cognitive functions measured by T-maze presented greater deficits in TBI mice, while there was no sex or injury-related difference in depressive-like behaviors. Notably, a significant effect of sex was found in empathy-like behavior, with females showing more allogrooming and freezing behavior in the consoling and fear observational tests, respectively. Evaluating the impact of the injury-induced brain damage demonstrated a greater injury volume and neuronal degeneration in males compared to females one month after TBI. Moreover, male mice showed higher peripheral inflammatory responses, as represented by elevated serum levels of peripheral leukocytes and inflammatory markers. These results will have significant implications for understanding TBI's long-term consequences on neurobehavioral and inflammatory responses, which are sex-specific and can be considered for individualized therapeutic strategies in treating TBI.
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Affiliation(s)
- Ghaith A Bahader
- Department of Medicinal and Biological Chemistry, College of Pharmacy and Pharmaceutical Sciences, University of Toledo, Toledo, OH 43614, USA
| | - Farzaneh Naghavi
- Department of Neurosciences, College of Medicine and Life Sciences, University of Toledo, Toledo, OH 43614, USA
| | - Ahmed Alotaibi
- Department of Pharmacology and Experimental Therapeutics, College of Pharmacy and Pharmaceutical Sciences, University of Toledo, Toledo, OH 43614, USA
| | - Amir Dehghan
- Department of Neurosciences, College of Medicine and Life Sciences, University of Toledo, Toledo, OH 43614, USA
| | - Caroline C Swain
- Department of Neurosciences, College of Medicine and Life Sciences, University of Toledo, Toledo, OH 43614, USA
| | - James P Burkett
- Department of Neurosciences, College of Medicine and Life Sciences, University of Toledo, Toledo, OH 43614, USA
| | - Zahoor A Shah
- Department of Medicinal and Biological Chemistry, College of Pharmacy and Pharmaceutical Sciences, University of Toledo, Toledo, OH 43614, USA.
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10
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Green REA, Dabek MK, Changoor A, Rybkina J, Monette GA, Colella B. Moderate-Severe TBI as a Progressive Disorder: Patterns and Predictors of Cognitive Declines in the Chronic Stages of Injury. Neurorehabil Neural Repair 2023; 37:799-809. [PMID: 37990972 DOI: 10.1177/15459683231212861] [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: 11/23/2023]
Abstract
BACKGROUND Moderate-severe traumatic brain injury (TBI) has been associated with progressive cognitive decline in the chronic injury stages in a small number of studies. OBJECTIVE This study aimed to (i) replicate our previous findings of decline from 1 to 3+ years post-injury in a larger, non-overlapping sample and (ii) extend these findings by examining the proportion of decliners in 2 earlier time windows, and by investigating novel predictors of decline. METHODS N = 48 patients with moderate-severe TBI underwent neuropsychological assessment at 2, 5, 12 months, and 30+ months post-injury. We employed the Reliable Change Index (RCI) to evaluate decline, stability and improvement across time and logistic regression to identify predictors of decline (demographic/cognitive reserve; injury-related). RESULTS The proportions of patients showing decline were: 12.5% (2-5 months post-injury), 17% (5-12 months post-injury), and 27% (12-30+ months post-injury). Measures of verbal retrieval were most sensitive to decline. Of the predictors, only left progressive hippocampal volume loss from 5 to 12 months post-injury significantly predicted cognitive decline from 12 to 30+ months post-injury. CONCLUSIONS Identical to our previous study, 27% of patients declined from 12 to 30+ months post-injury. Additionally, we found that the further from injury, the greater the proportion of patients declining. Importantly, earlier progressive hippocampal volume loss predicted later cognitive decline. Taken together, the findings highlight the need for ongoing research and treatment that target these deleterious mechanisms affecting patients in the chronic stages of moderate-severe TBI.
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Affiliation(s)
- Robin E A Green
- Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - Marika K Dabek
- Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Alana Changoor
- Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Julia Rybkina
- Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | | | - Brenda Colella
- Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
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11
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De Benedictis A, Rossi-Espagnet MC, de Palma L, Sarubbo S, Marras CE. Structural networking of the developing brain: from maturation to neurosurgical implications. Front Neuroanat 2023; 17:1242757. [PMID: 38099209 PMCID: PMC10719860 DOI: 10.3389/fnana.2023.1242757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 11/09/2023] [Indexed: 12/17/2023] Open
Abstract
Modern neuroscience agrees that neurological processing emerges from the multimodal interaction among multiple cortical and subcortical neuronal hubs, connected at short and long distance by white matter, to form a largely integrated and dynamic network, called the brain "connectome." The final architecture of these circuits results from a complex, continuous, and highly protracted development process of several axonal pathways that constitute the anatomical substrate of neuronal interactions. Awareness of the network organization of the central nervous system is crucial not only to understand the basis of children's neurological development, but also it may be of special interest to improve the quality of neurosurgical treatments of many pediatric diseases. Although there are a flourishing number of neuroimaging studies of the connectome, a comprehensive vision linking this research to neurosurgical practice is still lacking in the current pediatric literature. The goal of this review is to contribute to bridging this gap. In the first part, we summarize the main current knowledge concerning brain network maturation and its involvement in different aspects of normal neurocognitive development as well as in the pathophysiology of specific diseases. The final section is devoted to identifying possible implications of this knowledge in the neurosurgical field, especially in epilepsy and tumor surgery, and to discuss promising perspectives for future investigations.
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Affiliation(s)
| | | | - Luca de Palma
- Clinical and Experimental Neurology, Bambino Gesù Children’s Hospital, Rome, Italy
| | - Silvio Sarubbo
- Department of Neurosurgery, Santa Chiara Hospital, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy
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12
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Brennan DJ, Duda J, Ware JB, Whyte J, Choi JY, Gugger J, Focht K, Walter AE, Bushnik T, Gee JC, Diaz‐Arrastia R, Kim JJ. Spatiotemporal profile of atrophy in the first year following moderate-severe traumatic brain injury. Hum Brain Mapp 2023; 44:4692-4709. [PMID: 37399336 PMCID: PMC10400790 DOI: 10.1002/hbm.26410] [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: 12/12/2022] [Revised: 06/04/2023] [Accepted: 06/12/2023] [Indexed: 07/05/2023] Open
Abstract
Traumatic brain injury (TBI) triggers progressive neurodegeneration resulting in brain atrophy that continues months-to-years following injury. However, a comprehensive characterization of the spatial and temporal evolution of TBI-related brain atrophy remains incomplete. Utilizing a sensitive and unbiased morphometry analysis pipeline optimized for detecting longitudinal changes, we analyzed a sample consisting of 37 individuals with moderate-severe TBI who had primarily high-velocity and high-impact injury mechanisms. They were scanned up to three times during the first year after injury (3 months, 6 months, and 12 months post-injury) and compared with 33 demographically matched controls who were scanned once. Individuals with TBI already showed cortical thinning in frontal and temporal regions and reduced volume in the bilateral thalami at 3 months post-injury. Longitudinally, only a subset of cortical regions in the parietal and occipital lobes showed continued atrophy from 3 to 12 months post-injury. Additionally, cortical white matter volume and nearly all deep gray matter structures exhibited progressive atrophy over this period. Finally, we found that disproportionate atrophy of cortex along sulci relative to gyri, an emerging morphometric marker of chronic TBI, was present as early as 3 month post-injury. In parallel, neurocognitive functioning largely recovered during this period despite this pervasive atrophy. Our findings demonstrate msTBI results in characteristic progressive neurodegeneration patterns that are divergent across regions and scale with the severity of injury. Future clinical research using atrophy during the first year of TBI as a biomarker of neurodegeneration should consider the spatiotemporal profile of atrophy described in this study.
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Affiliation(s)
- Daniel J. Brennan
- CUNY Neuroscience Collaborative, The Graduate CenterCity University of New YorkNew YorkNew YorkUnited States
- Department of Molecular, Cellular, and Biomedical SciencesCUNY School of Medicine, The City College of New YorkNew YorkNew YorkUnited States
| | - Jeffrey Duda
- Department of RadiologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUnited States
- Penn Image Computing and Science LaboratoryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUnited States
| | - Jeffrey B. Ware
- Department of RadiologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUnited States
| | - John Whyte
- Moss Rehabilitation Research Institute, Einstein Healthcare NetworkElkins ParkPennsylvaniaUnited States
| | - Joon Yul Choi
- Department of Molecular, Cellular, and Biomedical SciencesCUNY School of Medicine, The City College of New YorkNew YorkNew YorkUnited States
- Department of Biomedical EngineeringYonsei UniversityWonjuRepublic of Korea
| | - James Gugger
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUnited States
| | - Kristen Focht
- Widener University School for Graduate Clinical PsychologyChesterPennsylvaniaUnited States
| | - Alexa E. Walter
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUnited States
| | - Tamara Bushnik
- NYU Grossman School of MedicineNew YorkNew YorkUnited States
| | - James C. Gee
- Department of RadiologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUnited States
- Penn Image Computing and Science LaboratoryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUnited States
| | - Ramon Diaz‐Arrastia
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUnited States
| | - Junghoon J. Kim
- CUNY Neuroscience Collaborative, The Graduate CenterCity University of New YorkNew YorkNew YorkUnited States
- Department of Molecular, Cellular, and Biomedical SciencesCUNY School of Medicine, The City College of New YorkNew YorkNew YorkUnited States
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13
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Corrigan F, Wee IC, Collins-Praino LE. Chronic motor performance following different traumatic brain injury severity-A systematic review. Front Neurol 2023; 14:1180353. [PMID: 37288069 PMCID: PMC10243142 DOI: 10.3389/fneur.2023.1180353] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/05/2023] [Indexed: 06/09/2023] Open
Abstract
Introduction Traumatic brain injury (TBI) is now known to be a chronic disease, causing ongoing neurodegeneration and linked to increased risk of neurodegenerative motor diseases, such as Parkinson's disease and amyotrophic lateral sclerosis. While the presentation of motor deficits acutely following traumatic brain injury is well-documented, however, less is known about how these evolve in the long-term post-injury, or how the initial severity of injury affects these outcomes. The purpose of this review, therefore, was to examine objective assessment of chronic motor impairment across the spectrum of TBI in both preclinical and clinical models. Methods PubMed, Embase, Scopus, and PsycINFO databases were searched with a search strategy containing key search terms for TBI and motor function. Original research articles reporting chronic motor outcomes with a clearly defined TBI severity (mild, repeated mild, moderate, moderate-severe, and severe) in an adult population were included. Results A total of 97 studies met the inclusion criteria, incorporating 62 preclinical and 35 clinical studies. Motor domains examined included neuroscore, gait, fine-motor, balance, and locomotion for preclinical studies and neuroscore, fine-motor, posture, and gait for clinical studies. There was little consensus among the articles presented, with extensive differences both in assessment methodology of the tests and parameters reported. In general, an effect of severity was seen, with more severe injury leading to persistent motor deficits, although subtle fine motor deficits were also seen clinically following repeated injury. Only six clinical studies investigated motor outcomes beyond 10 years post-injury and two preclinical studies to 18-24 months post-injury, and, as such, the interaction between a previous TBI and aging on motor performance is yet to be comprehensively examined. Conclusion Further research is required to establish standardized motor assessment procedures to fully characterize chronic motor impairment across the spectrum of TBI with comprehensive outcomes and consistent protocols. Longitudinal studies investigating the same cohort over time are also a key for understanding the interaction between TBI and aging. This is particularly critical, given the risk of neurodegenerative motor disease development following TBI.
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Affiliation(s)
- Frances Corrigan
- Head Injury Lab, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
| | - Ing Chee Wee
- Cognition, Ageing and Neurodegenerative Disease Laboratory, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
| | - Lyndsey E. Collins-Praino
- Cognition, Ageing and Neurodegenerative Disease Laboratory, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
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14
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Deep Grey Matter Volume is Reduced in Amateur Boxers as Compared to Healthy Age-matched Controls. Clin Neuroradiol 2022; 33:475-482. [DOI: 10.1007/s00062-022-01233-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 10/14/2022] [Indexed: 12/23/2022]
Abstract
Abstract
Purpose
Mild traumatic brain injuries (mTBI) sustained during contact sports like amateur boxing are found to have long-term sequelae, being linked to an increased risk of developing neurological conditions like Parkinson’s disease. The aim of this study was to assess differences in volume of anatomical brain structures between amateur boxers and control subjects with a special interest in the affection of deep grey matter structures.
Methods
A total of 19 amateur boxers and 19 healthy controls (HC), matched for age and intelligence quotient (IQ), underwent 3T magnetic resonance imaging (MRI) as well as neuropsychological testing. Body mass index (BMI) was evaluated for every subject and data about years of boxing training and number of fights were collected for each boxer. The acquired 3D high resolution T1 weighted MR images were analyzed to measure the volumes of cortical grey matter (GM), white matter (WM), cerebrospinal fluid (CSF) and deep grey matter structures. Multivariate analysis was applied to reveal differences between groups referencing deep grey matter structures to normalized brain volume (NBV) to adjust for differences in head size and brain volume as well as adding BMI as cofactor.
Results
Total intracranial volume (TIV), comprising GM, WM and CSF, was lower in boxers compared to controls (by 7.1%, P = 0.009). Accordingly, GM (by 5.5%, P = 0.038) and WM (by 8.4%, P = 0.009) were reduced in boxers. Deep grey matter showed statistically lower volumes of the thalamus (by 8.1%, P = 0.006), caudate nucleus (by 11.1%, P = 0.004), putamen (by 8.1%, P = 0.011), globus pallidus (by 9.6%, P = 0.017) and nucleus accumbens (by 13.9%, P = 0.007) but not the amygdala (by 5.5%, P = 0.221), in boxers compared to HC.
Conclusion
Several deep grey matter structures were reduced in volume in the amateur boxer group. Furthermore, longitudinal studies are needed to determine the damage pattern affecting deep grey matter structures and its neuropsychological relevance.
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15
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Rubinos C, Waters B, Hirsch LJ. Predicting and Treating Post-traumatic Epilepsy. Curr Treat Options Neurol 2022. [DOI: 10.1007/s11940-022-00727-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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16
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Martínez‐Molina N, Siponkoski S, Särkämö T. Cognitive efficacy and neural mechanisms of music-based neurological rehabilitation for traumatic brain injury. Ann N Y Acad Sci 2022; 1515:20-32. [PMID: 35676218 PMCID: PMC9796942 DOI: 10.1111/nyas.14800] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Traumatic brain injury (TBI) causes lifelong cognitive deficits, most often in executive function (EF). Both musical training and music-based rehabilitation have been shown to enhance EF and neuroplasticity. Thus far, however, there is little evidence for the potential rehabilitative effects of music for TBI. Here, we review the core findings from our recent cross-over randomized controlled trial in which a 10-week music-based neurological rehabilitation (MBNR) protocol was administered to 40 patients with moderate-to-severe TBI. Neuropsychological testing and structural/functional magnetic resonance imaging were collected at three time points (baseline, 3 months, and 6 months); one group received the MBNR between time points 1 and 2, while a second group received it between time points 2 and 3. We found that both general EF and set shifting improved after the intervention, and this effect was maintained long term. Morphometric analyses revealed therapy-induced gray matter volume changes most consistently in the right inferior frontal gyrus, changes that correlated with better outcomes in set shifting. Finally, we found changes in the between- and within-network functional connectivity of large-scale resting-state networks after MBNR, which also correlated with measures of EF. Taken together, the data provide evidence for concluding that MBNR improves EF in TBI; also, the data show that morphometric and resting-state functional connectivity are sensitive markers with which to monitor the neuroplasticity induced by the MBNR intervention.
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Affiliation(s)
- Noelia Martínez‐Molina
- Music, Ageing and Rehabilitation Team, Cognitive Brain Research Unit, Department of Psychology and LogopedicsUniversity of HelsinkiHelsinki FI‐00014Finland,Centre of Excellence in Music, Mind, Body and BrainUniversity of Jyväskylä & University of HelsinkiHelsinkiFinland
| | - Sini‐Tuuli Siponkoski
- Music, Ageing and Rehabilitation Team, Cognitive Brain Research Unit, Department of Psychology and LogopedicsUniversity of HelsinkiHelsinki FI‐00014Finland,Centre of Excellence in Music, Mind, Body and BrainUniversity of Jyväskylä & University of HelsinkiHelsinkiFinland
| | - Teppo Särkämö
- Music, Ageing and Rehabilitation Team, Cognitive Brain Research Unit, Department of Psychology and LogopedicsUniversity of HelsinkiHelsinki FI‐00014Finland,Centre of Excellence in Music, Mind, Body and BrainUniversity of Jyväskylä & University of HelsinkiHelsinkiFinland
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17
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Sirant LW, Singh J, Martin S, Gaul CA, Stuart-Hill L, Candow DG, Mang C, Neary JP. Long-term effects of multiple concussions on prefrontal cortex oxygenation during repeated squat-stands in retired contact sport athletes. Brain Inj 2022; 36:931-938. [PMID: 35968581 DOI: 10.1080/02699052.2022.2109737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
BACKGROUND This study investigated the long-term effects of multiple concussions on prefrontal cortex oxygenation using near-infrared spectroscopy (NIRS) during a squat-stand maneuver that activated dynamic cerebral autoregulation. METHODS Active male retired contact sport athletes with a history of 3+ concussions (mTBI; n = 55), and active retired athletes with no concussion history (CTRL; n = 29) were recruited. Participants completed a 5-min squat-stand maneuve (10-s squat, 10-s stand, 0.05 Hz; 15 times). Oxygenated (O2Hb), deoxygenated (HHb), total (tHb) hemoglobin, and hemoglobin difference (HbDiff) were analyzed through the change in maximal and minimal values during the test (∆MAX), Z-scores, and standard deviations. RESULTS mTBI group showed left prefrontal cortex O2Hb ∆MAX (p = 0.046) and HbDiff ∆MAX (p = 0.018) were significantly higher. Within-group analyses showed significantly higher left HHb ∆MAX (p = 0.003) and lower left HbDiff Z-scores (p = 0.010) only in the mTBI group. The CTRL group demonstrated significantly lower left HbDiff SD (p = 0.039), tHb Z-scores (p = 0.030), and HbDiff ∆MAX (p = 0.037) compared to right prefrontal cortex response. CONCLUSION These preliminary results suggest changes in prefrontal cortex oxygenation potentially affecting the brain's ability to adapt to changing cerebral perfusion pressure after multiple previous concussions.
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Affiliation(s)
- Luke W Sirant
- Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK, Canada
| | - Jyotpal Singh
- Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK, Canada
| | - Steve Martin
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Catherine A Gaul
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Lynneth Stuart-Hill
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Darren G Candow
- Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK, Canada
| | - Cameron Mang
- Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK, Canada
| | - J Patrick Neary
- Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK, Canada
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18
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Nivins S, Kennedy E, Thompson B, Gamble GD, Alsweiler JM, Metcalfe R, McKinlay CJD, Harding JE. Associations between neonatal hypoglycaemia and brain volumes, cortical thickness and white matter microstructure in mid-childhood: An MRI study. Neuroimage Clin 2022; 33:102943. [PMID: 35063925 PMCID: PMC8856905 DOI: 10.1016/j.nicl.2022.102943] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 01/11/2022] [Accepted: 01/13/2022] [Indexed: 11/11/2022]
Abstract
Neonatal hypoglycaemia is associated with damage to the brain in the acute phase. In mid-childhood, neonatal hypoglycaemia is associated with smaller brain regions. Deep grey matter regions such as the caudate and thalamus are implicated. Children with neonatal hypoglycemia had smaller occipital lobe cortical thickness. Grey matter may be especially vulnerable to long-term effects of neonatal hypoglycemia.
Neonatal hypoglycaemia is a common metabolic disorder that may cause brain damage, most visible in parieto-occipital regions on MRI in the acute phase. However, the long term effects of neonatal hypoglycaemia on the brain are not well understood. We investigated the association between neonatal hypoglycaemia and brain volumes, cortical thickness and white matter microstructure at 9–10 years. Children born at risk of neonatal hypoglycaemia at ≥ 36 weeks’ gestation who took part in a prospective cohort study underwent brain MRI at 9–10 years. Neonatal hypoglycaemia was defined as at least one hypoglycaemic episode (at least one consecutive blood glucose concentration < 2.6 mmol/L) or interstitial episode (at least 10 min of interstitial glucose concentrations < 2.6 mmol/L). Brain volumes and cortical thickness were computed using Freesurfer. White matter microstructure was assessed using tract-based spatial statistics. Children who had (n = 75) and had not (n = 26) experienced neonatal hypoglycaemia had similar combined parietal and occipital lobe volumes and no differences in white matter microstructure at nine years of age. However, those who had experienced neonatal hypoglycaemia had smaller caudate volumes (mean difference: −557 mm3, 95% confidence interval (CI), −933 to −182, p = 0.004) and smaller thalamus (−0.03%, 95%CI, −0.06 to 0.00; p = 0.05) and subcortical grey matter (−0.10%, 95%CI −0.20 to 0.00, p = 0.05) volumes as percentage of total brain volume, and thinner occipital lobe cortex (−0.05 mm, 95%CI −0.10 to 0.00, p = 0.05) than those who had not. The finding of smaller caudate volumes after neonatal hypoglycaemia was consistent across analyses of pre-specified severity groups, clinically detected hypoglycaemic episodes, and severity and frequency of hypoglycaemic events. Neonatal hypoglycaemia is associated with smaller deep grey matter brain regions and thinner occipital lobe cortex but not altered white matter microstructure in mid-childhood.
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Affiliation(s)
- Samson Nivins
- Liggins Institute, University of Auckland, New Zealand
| | | | - Benjamin Thompson
- Liggins Institute, University of Auckland, New Zealand; School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, Canada; Centre for Eye and Vision Research, 17W Science Park, Hong Kong
| | | | - Jane M Alsweiler
- Auckland District Health Board, Auckland, New Zealand; Department of Paediatrics: Child and Youth Health, University of Auckland, New Zealand
| | | | - Christopher J D McKinlay
- Liggins Institute, University of Auckland, New Zealand; Kidz First Neonatal Care, Counties Manukau Health, New Zealand
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19
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Cao M, Luo Y, Wu Z, Wu K, Li X. Abnormal neurite density and orientation dispersion in frontal lobe link to elevated hyperactive/impulsive behaviors in young adults with traumatic brain injury. Brain Commun 2022; 4:fcac011. [PMID: 35187485 PMCID: PMC8853727 DOI: 10.1093/braincomms/fcac011] [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: 08/19/2021] [Revised: 12/02/2021] [Accepted: 01/27/2022] [Indexed: 11/15/2022] Open
Abstract
Traumatic brain injury is a major public health concern. A significant proportion of individuals experience post-traumatic brain injury behavioural impairments, especially in attention and inhibitory control domains. Traditional diffusion-weighted MRI techniques, such as diffusion tensor imaging, have provided tools to assess white matter structural disruptions reflecting the long-term brain tissue alterations associated with traumatic brain injury. The recently developed neurite orientation dispersion and density imaging is a more advanced diffusion MRI modality, which provides more refined characterization of brain tissue microstructures by assessing the neurite orientation dispersion and neurite density properties. In this study, neurite orientation dispersion and density imaging data from 44 young adults with chronic traumatic brain injury (who had no prior-injury diagnoses of any sub-presentation of attention deficits/hyperactivity disorder or experience of severe inattentive and/or hyperactive behaviours) and 45 group-matched normal controls were investigated, to assess the post-injury morphometrical and microstructural brain alterations and their relationships with the behavioural outcomes. Maps of fractional anisotropy, neurite orientation dispersion index and neurite density index were calculated. Vertex-wise and voxel-wise analyses were conducted for grey matter and white matter, respectively. Post hoc region-of-interest-based analyses were also performed. Compared to the controls, the group of traumatic brain injury showed significantly increased orientation dispersion index and significantly decreased neurite density index in various grey matter regions, as well as significantly decreased orientation dispersion index in several white matter regions. Brain–behavioural association analyses indicated that the reduced neurite density index of the left precentral gyrus and the reduced orientation dispersion index of the left superior longitudinal fasciculus were significantly associated with elevated hyperactive/impulsive symptoms in the patients with traumatic brain injury. These findings suggest that post-injury chronical neurite intracellular volume and angular distribution anomalies in the frontal lobe, practically the precentral area, can significantly contribute to the onset of hyperactive/impulsive behaviours in young adults with traumatic brain injury.
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Affiliation(s)
- Meng Cao
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA
| | - Yuyang Luo
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA
| | - Ziyan Wu
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, NJ, USA
| | - Kai Wu
- Department of Electrical and Computer Engineering, School of Materials Science and Engineering, South China University of Technology, Guangzhou, China
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, NJ, USA
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20
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Yoo RE, Choi SH, Youn SW, Hwang M, Kim E, Oh BM, Lee JY, Hwang I, Kang KM, Yun TJ, Kim JH, Sohn CH. Myelin Content in Mild Traumatic Brain Injury Patients with Post-Concussion Syndrome: Quantitative Assessment with a Multidynamic Multiecho Sequence. Korean J Radiol 2022; 23:226-236. [PMID: 35029073 PMCID: PMC8814703 DOI: 10.3348/kjr.2021.0253] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 07/20/2021] [Accepted: 08/28/2021] [Indexed: 11/30/2022] Open
Abstract
Objective This study aimed to explore the myelin volume change in patients with mild traumatic brain injury (mTBI) with post-concussion syndrome (PCS) using a multidynamic multiecho (MDME) sequence and automatic whole-brain segmentation. Materials and Methods Forty-one consecutive mTBI patients with PCS and 29 controls, who had undergone MRI including the MDME sequence between October 2016 and April 2018, were included. Myelin volume fraction (MVF) maps were derived from the MDME sequence. After three dimensional T1-based brain segmentation, the average MVF was analyzed at the bilateral cerebral white matter (WM), bilateral cerebral gray matter (GM), corpus callosum, and brainstem. The Mann–Whitney U-test was performed to compare MVF and myelin volume between patients with mTBI and controls. Myelin volume was correlated with neuropsychological test scores using the Spearman rank correlation test. Results The average MVF at the bilateral cerebral WM was lower in mTBI patients with PCS (median [interquartile range], 25.2% [22.6%–26.4%]) than that in controls (26.8% [25.6%–27.8%]) (p = 0.004). The region-of-interest myelin volume was lower in mTBI patients with PCS than that in controls at the corpus callosum (1.87 cm3 [1.70–2.05 cm3] vs. 2.21 cm3 [1.86–3.46 cm3]; p = 0.003) and brainstem (9.98 cm3 [9.45–11.00 cm3] vs. 11.05 cm3 [10.10–11.53 cm3]; p = 0.015). The total myelin volume was lower in mTBI patients with PCS than that in controls at the corpus callosum (0.45 cm3 [0.39–0.48 cm3] vs. 0.48 cm3 [0.45–0.54 cm3]; p = 0.004) and brainstem (1.45 cm3 [1.28–1.59 cm3] vs. 1.54 cm3 [1.42–1.67 cm3]; p = 0.042). No significant correlation was observed between myelin volume parameters and neuropsychological test scores, except for the total myelin volume at the bilateral cerebral WM and verbal learning test (delayed recall) (r = 0.425; p = 0.048). Conclusion MVF quantified from the MDME sequence was decreased at the bilateral cerebral WM in mTBI patients with PCS. The total myelin volumes at the corpus callosum and brainstem were decreased in mTBI patients with PCS due to atrophic changes.
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Affiliation(s)
- Roh-Eul Yoo
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Hong Choi
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.,Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul, Korea.,School of Chemical and Biological Engineering, Seoul National University, Seoul, Korea.
| | - Sung-Won Youn
- Department of Radiology, Daegu Catholic University Medical Center, Daegu, Korea
| | | | - Eunkyung Kim
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Byung-Mo Oh
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.,National Traffic Injury Rehabilitation Hospital, Yangpyeong, Korea.,Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Ji Ye Lee
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Inpyeong Hwang
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Koung Mi Kang
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Jin Yun
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Ji-Hoon Kim
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Chul-Ho Sohn
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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21
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Mazaharally M, Stojanovski S, Trossman R, Szulc-Lerch K, Chakravarty MM, Colella B, Glazer J, E Green R, Wheeler AL. Patterns of change in cortical morphometry following traumatic brain injury in adults. Hum Brain Mapp 2021; 43:1882-1894. [PMID: 34953011 PMCID: PMC8933328 DOI: 10.1002/hbm.25761] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/01/2021] [Accepted: 12/13/2021] [Indexed: 01/18/2023] Open
Abstract
Progressive cortical volumetric loss following moderate–severe traumatic brain injury (TBI) has been observed; however, regionally specific changes in the structural determinants of cortical volume, namely, cortical thickness (CT) and cortical surface area (CSA), are unknown and may inform the patterns and neural substrates of neurodegeneration and plasticity following injury. We aimed to (a) assess differences in CT and CSA between TBI participants and controls in the early chronic stage post‐injury, (b) describe longitudinal changes in cortical morphometry following TBI, and (c) examine how regional changes in CT and CSA are associated. We acquired magnetic resonance images for 67 participants with TBI at up to 4 time‐points spanning 5 months to 7 years post‐injury, and 18 controls at 2 time‐points. In the early chronic stage, TBI participants displayed thinner cortices than controls, predominantly in frontal regions, but no CSA differences. Throughout the chronic period, TBI participants showed widespread CT reductions in posterior cingulate/precuneus regions and moderate CT increase in frontal regions. Additionally, CSA showed a significant decrease in the orbitofrontal cortex and circumscribed increase in posterior regions. No changes were identified in controls. Relationships between regional cortical changes in the same morphological measure revealed coordinated patterns within participants, whereas correlations between regions with CT and CSA change yielded bi‐directional relationships. This suggests that these measures may be differentially affected by neurodegenerative mechanisms such as transneuronal degeneration following TBI and that degeneration may be localized to the depths of cortical sulci. These findings emphasize the importance of dissecting morphometric contributions to cortical volume change.
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Affiliation(s)
- Maria Mazaharally
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Sonja Stojanovski
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Rebecca Trossman
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Kamila Szulc-Lerch
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neuroscience, The University of Oxford, Oxford, UK
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada.,Department of Psychiatry, McGill University, Montreal, Canada.,Department of Biomedical Engineering, McGill University, Montreal, Canada
| | - Brenda Colella
- Cognitive Neurorehabilitation Sciences Laboratory, Research Department, Toronto Rehabilitation Institute, Toronto, Ontario, Canada
| | - Joanna Glazer
- Cognitive Neurorehabilitation Sciences Laboratory, Research Department, Toronto Rehabilitation Institute, Toronto, Ontario, Canada
| | - Robin E Green
- Cognitive Neurorehabilitation Sciences Laboratory, Research Department, Toronto Rehabilitation Institute, Toronto, Ontario, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Anne L Wheeler
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Physiology, University of Toronto, Toronto, Ontario, Canada
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22
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Muller AM, Panenka WJ, Lange RT, Iverson GL, Brubacher JR, Virji-Babul N. Longitudinal changes in brain parenchyma due to mild traumatic brain injury during the first year after injury. Brain Behav 2021; 11:e2410. [PMID: 34710284 PMCID: PMC8671787 DOI: 10.1002/brb3.2410] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Revised: 10/08/2021] [Accepted: 10/12/2021] [Indexed: 11/11/2022] Open
Abstract
Chronic gray matter (GM) atrophy is a known consequence of moderate and severe traumatic brain injuries but has not been consistently shown in mild traumatic brain injury (mTBI). The aim of this study was to investigate the longitudinal effect of uncomplicated mTBI on the brain's GM and white matter (WM) from 6 weeks to 12 months after injury. Voxel-based-morphometry (VBM) was computed with the T1-weighted images of 48 uncomplicated mTBI patients and 37 orthopedic controls. Over the period from 6 weeks to 12 months, only patients who experienced uncomplicated mTBI, but not control participants, showed significant GM decrease predominantly in the right hemisphere along the GM-CSF border in lateral and medial portions of the sensorimotor cortex extending into the rolandic operculum, middle frontal gyrus, insula, and temporal pole. Additionally, only mTBI patients, but not controls, experienced significant WM decrease predominantly in the right hemisphere in the superior fasciculus longitudinalis, arcuate fasciculus, and cortical-pontine tracts as well as a significant WM increase in left arcuate fasciculus and left capsula extrema. We did not observe any significant change in the controls for the same time interval or any significant group differences in GM and WM probability at each of the two timepoints. This suggests that the changes along the brain tissue borders observed in the mTBI group represent a reorganization associated with subtle microscopical changes in intracortical myelin and not a direct degenerative process as a result of mTBI.
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Affiliation(s)
- Angela M Muller
- Faculty of Medicine, Department of Physical Therapy, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - William J Panenka
- British Columbia Neuropsychiatry Program, University of British Columbia, Vancouver, Canada.,Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Rael T Lange
- Department of Psychiatry, University of British Columbia, Vancouver, Canada.,Defense and Veterans Brain Injury Center, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.,National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Grant L Iverson
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
| | - Jeffrey R Brubacher
- Department of Emergency Medicine, University of British Columbia, Vancouver, Canada
| | - Naznin Virji-Babul
- Faculty of Medicine, Department of Physical Therapy, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
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23
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Long-term follow-up of neurodegenerative phenomenon in severe traumatic brain injury using MRI. Ann Phys Rehabil Med 2021; 65:101599. [PMID: 34718191 DOI: 10.1016/j.rehab.2021.101599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 06/10/2021] [Accepted: 07/23/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND Traumatic brain injury (TBI) lesions are known to evolve over time, but the duration and consequences of cerebral remodeling are unclear. Degenerative mechanisms occurring in the chronic phase after TBI could constitute "tertiary" lesions related to the neurological outcome. OBJECTIVE The objective of this prospective study of severe TBI was to longitudinally evaluate the volume of white and grey matter structures and white matter integrity with 2 time-point multimodal MRI. METHODS Longitudinal MRI follow-up was obtained for 11 healthy controls (HCs) and 22 individuals with TBI (mean [SD] 60 [15] months after injury) along with neuropsychological assessments. TBI individuals were classified in the "favourable" recovery group (Glasgow Outcome Scale Extended [GOSE] 6-8) and "unfavourable" recovery group (GOSE 3-5) at 5 years. Variation in brain volumes (3D T1-weighted image) and white matter integrity (diffusion tensor imaging [DTI]) were quantitatively assessed over time and used to predict neurological outcome. RESULTS TBI individuals showed a marked decrease in volumes of whole white matter (median -11.4% [interquartile range -5.8; -14.6]; p <0.001) and deep grey nuclear structures (-17.1% [-10.6; -20.5]; p <0.001). HCs did not show any significant change over the same time period. Median volumetric loss in several brain regions was higher with GOSE 3-5 than 6-8. These lesions were associated with lower fractional anisotropy and higher mean diffusivity at baseline. Volumetric variations were positively correlated with normalized fractional anisotropy and negatively with normalized mean diffusivity at baseline and follow-up. A computed predictive model with baseline DTI showed good accuracy to predict neurological outcome (area under the receiver operating characteristic curve 0.82 [95% confidence interval 0.81-0.83]) Conclusions. We characterised the striking atrophy of deep brain structures after severe TBI. DTI imaging in the subacute phase can predict the occurrence and localization of these tertiary lesions as well as long-term neurological outcome. TRIAL REGISTRATION ClinicalTrials.gov: NCT00577954. Registered on October 2006.
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24
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Sandry J, Dobryakova E. Global hippocampal and selective thalamic nuclei atrophy differentiate chronic TBI from Non-TBI. Cortex 2021; 145:37-56. [PMID: 34689031 DOI: 10.1016/j.cortex.2021.08.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 05/04/2021] [Accepted: 08/12/2021] [Indexed: 12/27/2022]
Abstract
Traumatic brain injury (TBI) may increase susceptibility to neurodegenerative diseases later in life. One neurobiological parallel between chronic TBI and neurodegeneration may be accelerated aging and the nature of atrophy across subcortical gray matter structures. The main aim of the present investigation is to evaluate and rank the degree that subcortical gray matter atrophy differentiates chronic moderate-severe TBI from non-TBI participants by evaluating morphometric differences between groups. Forty individuals with moderate-severe chronic TBI (9.23 yrs from injury) and 33 healthy controls (HC) underwent high resolution 3D T1-weighted structural magnetic resonance imaging. Whole brain volume was classified into white matter, cortical and subcortical gray matter structures with hippocampi and thalami further segmented into subfields and nuclei, respectively. Extensive atrophy was observed across nearly all brain regions for chronic TBI participants. A series of multivariate logistic regression models identified subcortical gray matter structures of the hippocampus and thalamus as the most sensitive to differentiating chronic TBI from non-TBI participants (McFadden R2 = .36, p < .001). Further analyses revealed the pattern of hippocampal atrophy to be global, occurring across nearly all subfields. The pattern of thalamic atrophy appeared to be much more selective and non-uniform, with largest between-group differences evident for nuclei bordering the ventricles. Subcortical gray matter was negatively correlated with time since injury (r = -.31, p = .054), while white matter and cortical gray matter were not. Cognitive ability was lower in the chronic TBI group (Cohen's d = .97, p = .003) and correlated with subcortical structures including the pallidum (r2 = .23, p = .038), thalamus (r2 = .36, p = .007) and ventral diencephalon (r2 = .23, p = .036). These data may support an accelerated aging hypothesis in chronic moderate-severe TBI that coincides with a similar neuropathological profile found in neurodegenerative diseases.
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Affiliation(s)
- Joshua Sandry
- Psychology Department, Montclair State University, Montclair, NJ, USA.
| | - Ekaterina Dobryakova
- Center for Traumatic Brain Injury Research, Kessler Foundation, East Hanover, NJ, USA; Department of Physical Medicine and Rehabilitation, Rutgers-New Jersey Medical School Newark, NJ, USA
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25
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Zimmerman KA, Laverse E, Samra R, Yanez Lopez M, Jolly AE, Bourke NJ, Graham NSN, Patel MC, Hardy J, Kemp S, Morris HR, Sharp DJ. White matter abnormalities in active elite adult rugby players. Brain Commun 2021; 3:fcab133. [PMID: 34435188 PMCID: PMC8381344 DOI: 10.1093/braincomms/fcab133] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 05/05/2021] [Accepted: 05/12/2021] [Indexed: 11/13/2022] Open
Abstract
The recognition, diagnosis and management of mild traumatic brain injuries are difficult and confusing. It is unclear how the severity and number of injuries sustained relate to brain injuries, such as diffuse axonal injury, diffuse vascular injury and progressive neurodegeneration. Advances in neuroimaging techniques enable the investigation of neuropathologies associated with acute and long-term effects of injury. Head injuries are the most commonly reported injury seen during professional rugby. There is increased vigilance for the immediate effects of these injuries in matches, but there has been surprisingly little research investigating the longer-term effects of rugby participation. Here, we present a longitudinal observational study investigating the relationship of exposure to rugby participation and sub-acute head injuries in professional adult male and female rugby union and league players using advanced MRI. Diffusion tensor imaging and susceptibility weighted imaging was used to assess white matter structure and evidence of axonal and diffuse vascular injury. We also studied changes in brain structure over time using Jacobian Determinant statistics extracted from serial volumetric imaging. We tested 41 male and 3 female adult elite rugby players, of whom 21 attended study visits after a head injury, alongside 32 non-sporting controls, 15 non-collision-sport athletic controls and 16 longitudinally assessed controls. Eighteen rugby players participated in the longitudinal arm of the study, with a second visit at least 6 months after their first scan. Neuroimaging evidence of either axonal injury or diffuse vascular injury was present in 23% (10/44) of players. In the non-acutely injured group of rugby players, abnormalities of fractional anisotropy and other diffusion measures were seen. In contrast, non-collision-sport athletic controls were not classified as showing abnormalities. A group level contrast also showed evidence of sub-acute injury using diffusion tensor imaging in rugby players. Examination of longitudinal imaging revealed unexpected reductions in white matter volume in the elite rugby players studied. These changes were not related to self-reported head injury history or neuropsychological test scores and might indicate excess neurodegeneration in white matter tracts affected by injury. Taken together, our findings suggest an association of participation in elite adult rugby with changes in brain structure. Further well-designed large-scale studies are needed to understand the impact of both repeated sports-related head impacts and head injuries on brain structure, and to clarify whether the abnormalities we have observed are related to an increased risk of neurodegenerative disease and impaired neurocognitive function following elite rugby participation.
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Affiliation(s)
- Karl A Zimmerman
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK.,Care Research & Technology Centre, UK Dementia Research Institute, London W12 0BZ, UK
| | - Etienne Laverse
- Department of Clinical and Movement Neuroscience, University College London, London NW3 2PF, UK
| | - Ravjeet Samra
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK
| | - Maria Yanez Lopez
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK
| | - Amy E Jolly
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK.,Care Research & Technology Centre, UK Dementia Research Institute, London W12 0BZ, UK
| | - Niall J Bourke
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK.,Care Research & Technology Centre, UK Dementia Research Institute, London W12 0BZ, UK
| | - Neil S N Graham
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK.,Care Research & Technology Centre, UK Dementia Research Institute, London W12 0BZ, UK
| | - Maneesh C Patel
- Imaging Department, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London W6 8RF, UK
| | - John Hardy
- Department of Neurodegenerative Disease, Reta Lila Weston Laboratories, Queen Square Genomics, UCL Dementia Research Institute, London WC1N 3BG, UK
| | - Simon Kemp
- Rugby Football Union, Twickenham, London TW2 7BA, UK.,Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Huw R Morris
- Department of Clinical and Movement Neuroscience, University College London, London NW3 2PF, UK
| | - David J Sharp
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK.,Care Research & Technology Centre, UK Dementia Research Institute, London W12 0BZ, UK.,The Royal British Legion Centre for Blast Injury Studies, Imperial College London SW7 2AZ, UK
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26
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Sung D, Smith JL, Yarabarla S, Prasad O, Owusu-Ansah M, Ekici S, Allen JW, Mines B, Fleischer CC. Changes in brain metabolites and resting-state connectivity in collegiate basketball players as a function of play time. J Neuroimaging 2021; 31:1146-1155. [PMID: 34288203 DOI: 10.1111/jon.12909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/08/2021] [Accepted: 07/09/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND PURPOSE Magnetic resonance (MR) biomarkers are emerging for sports-related traumatic brain injury (TBI), but the effect of play time has not been characterized. Our goal was to characterize brain and inflammatory marker changes as a function of play time. METHODS Nine male players (21±2 years old) from a single collegiate basketball team were included. MR imaging (MRI), MR spectroscopy, and plasma were collected pre, mid, and postseason. Game time played was calculated for each subject. Changes in brain volume, diffusion tensor imaging (DTI), metabolites (normalized to total creatine, tCr), temperature, structural and functional connectivity, and inflammatory markers were quantified. RESULTS Myo-inositol/tCr in the left frontal white matter and brain temperature in the left frontal lobe varied significantly between time points. Glutamate (Glu/tCr) in the right frontal white matter and N-acetylaspartate in the posterior cingulate cortex (PCC) were negatively associated with minutes played. Midseason play time was associated with stronger blood-oxygen-level-dependent correlations between PCC and occipital areas, and weaker correlations between PCC and superior frontal connectivity. PCC Glu/tCr was positively associated with connectivity between the PCC and posterior supramarginal gyrus at preseason and with connectivity across time points among several right hemisphere regions. Volume, DTI, and inflammatory markers did not vary significantly. CONCLUSION Given that MR parameters vary with game play time in the absence of diagnosed injury, play time should be considered as a factor in sports-related TBI research.
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Affiliation(s)
- Dongsuk Sung
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
| | - Jeremy L Smith
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Suma Yarabarla
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, USA
| | - Ojaswa Prasad
- Department of Medicine, Philadelphia College of Osteopathic Medicine, Suwanee, Georgia, USA
| | - Maame Owusu-Ansah
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Selin Ekici
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jason W Allen
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.,Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Brandon Mines
- Department of Orthopedics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Candace C Fleischer
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.,Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
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Quantitative multimodal imaging in traumatic brain injuries producing impaired cognition. Curr Opin Neurol 2021; 33:691-698. [PMID: 33027143 DOI: 10.1097/wco.0000000000000872] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Cognitive impairments are a devastating long-term consequence following traumatic brain injury (TBI). This review provides an update on the quantitative mutimodal neuroimaging studies that attempt to elucidate the mechanism(s) underlying cognitive impairments and their recovery following TBI. RECENT FINDINGS Recent studies have linked individual specific behavioural impairments and their changes over time to physiological activity and structural changes using EEG, PET and MRI. Multimodal studies that combine measures of physiological activity with knowledge of neuroanatomical and connectivity damage have also illuminated the multifactorial function-structure relationships that underlie impairment and recovery following TBI. SUMMARY The combined use of multiple neuroimaging modalities, with focus on individual longitudinal studies, has the potential to accurately classify impairments, enhance sensitivity of prognoses, inform targets for interventions and precisely track spontaneous and intervention-driven recovery.
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Ferrazzano P, Yeske B, Mumford J, Kirk G, Bigler ED, Bowen K, O'Brien N, Rosario B, Beers SR, Rathouz P, Bell MJ, Alexander AL. Brain Magnetic Resonance Imaging Volumetric Measures of Functional Outcome after Severe Traumatic Brain Injury in Adolescents. J Neurotrauma 2021; 38:1799-1808. [PMID: 33487126 PMCID: PMC8219192 DOI: 10.1089/neu.2019.6918] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Adolescent traumatic brain injury (TBI) is a major public health concern, resulting in >35,000 hospitalizations in the United States each year. Although neuroimaging is a primary diagnostic tool in the clinical assessment of TBI, our understanding of how specific neuroimaging findings relate to outcome remains limited. Our study aims to identify imaging biomarkers of long-term neurocognitive outcome after severe adolescent TBI. Twenty-four adolescents with severe TBI (Glasgow Coma Scale ≤8) enrolled in the ADAPT (Approaches and Decisions after Pediatric TBI) study were recruited for magnetic resonance imaging (MRI) scanning 1-2 years post-injury at 13 participating sites. Subjects underwent outcome assessments ∼1-year post-injury, including the Wechsler Abbreviated Scale of Intelligence (IQ) and the Pediatric Glasgow Outcome Scale-Extended (GOSE-Peds). A typically developing control cohort of 38 age-matched adolescents also underwent scanning and neurocognitive assessment. Brain-image segmentation was performed on T1-weighted images using Freesurfer. Brain and ventricular cerebrospinal fluid volumes were used to compute a ventricle-to-brain ratio (VBR) for each subject, and the corpus callosum cross-sectional area was determined in the midline for each subject. The TBI group demonstrated higher VBR and lower corpus callosum area compared to the control cohort. After adjusting for age and sex, VBR was significantly related with GOSE-Peds score in the TBI group (n = 24, p = 0.01, cumulative odds ratio = 2.18). After adjusting for age, sex, intracranial volume, and brain volume, corpus callosum cross-sectional area correlated significantly with IQ score in the TBI group (partial cor = 0.68, n = 18, p = 0.007) and with PSI (partial cor = 0.33, p = 0.02). No association was found between VBR and IQ or between corpus callosum and GOSE-Peds. After severe adolescent TBI, quantitative MRI measures of VBR and corpus callosum cross-sectional area are associated with global functional outcome and neurocognitive outcomes, respectively.
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Affiliation(s)
- Peter Ferrazzano
- Waisman Center, University of Wisconsin, Madison, Wisconsin, USA
- Department of Pediatrics, University of Wisconsin, Madison, Wisconsin, USA
| | - Benjamin Yeske
- Waisman Center, University of Wisconsin, Madison, Wisconsin, USA
| | - Jeanette Mumford
- Center for Healthy Minds, University of Wisconsin, Madison, Wisconsin, USA
| | - Gregory Kirk
- Waisman Center, University of Wisconsin, Madison, Wisconsin, USA
| | - Erin D. Bigler
- Department of Psychology and Neuroscience Center, Brigham Young University, Provo, Utah, USA
- Department of Neurology, University of Utah, Salt Lake City, Utah, USA
- Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
| | | | - Nicole O'Brien
- Department of Pediatrics, Division of Critical Care Medicine Nationwide Children's Hospital, The Ohio State University, Columbus, Ohio, USA
| | - Bedda Rosario
- Department of Epidemiology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Sue R. Beers
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Paul Rathouz
- Department of Population Health, University of Texas at Austin Dell Medical School, Austin, Texas, USA
| | - Michael J. Bell
- Department of Pediatrics, Children's National Medical Center, Washington, DC, USA
| | - Andrew L. Alexander
- Waisman Center, University of Wisconsin, Madison, Wisconsin, USA
- Waisman Center Brain Imaging Laboratory, University of Wisconsin, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA
- Department of Psychiatry, University of Wisconsin, Madison, Wisconsin, USA
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29
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Gonzalez AC, Kim M, Keser Z, Ibrahim L, Singh SK, Ahmad MJ, Hasan O, Kamali A, Hasan KM, Schulz PE. Diffusion Tensor Imaging Correlates of Concussion Related Cognitive Impairment. Front Neurol 2021; 12:639179. [PMID: 34108926 PMCID: PMC8180854 DOI: 10.3389/fneur.2021.639179] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 04/20/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Cognitive impairment after concussion has been widely reported, but there is no reliable imaging biomarker that predicts the severity of cognitive decline post-concussion. This study tests the hypothesis that patients with a history of concussion and persistent cognitive impairment have fractional anisotropy (FA) and mean diffusivity (MD) values from diffusion tensor imaging (DTI) that are specifically associated with poor performance on the Montreal Cognitive Assessment (MoCA). Methods: Fifty-three subjects (19 females) with concussions and persistent cognitive symptoms had MR imaging and the MoCA. Imaging was analyzed by atlas-based, whole-brain DTI segmentation and FLAIR lesion segmentation. Then, we conducted a random forest-based recursive feature elimination (RFE) with 10-fold cross-validation on the entire dataset, and with partial correlation adjustment for age and lesion load. Results: RFE showed that 11 DTI variables were found to be important predictors of MoCA scores. Partial correlation analyses, corrected for age and lesion load, showed significant correlations between MoCA scores and right fronto-temporal regions: inferior temporal gyrus MD (r = -0.62, p = 0.00001), middle temporal gyrus MD (r = -0.54, p = 0.0001), angular gyrus MD (r = -0.48, p = 0.0008), and inferior frontal gyrus FA (r = 0.44, p = 0.002). Discussion: This is the first study to demonstrate a correlation between MoCA scores and DTI variables in patients with a history of concussion and persistent cognitive impairment. This kind of research will significantly increase our understanding of why certain persons have persistent cognitive changes after concussion which, in turn, may allow us to predict persistent impairment after concussion and suggest new interventions.
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Affiliation(s)
- Angelica C. Gonzalez
- Department of Neurology, University of Texas McGovern Medical School, Houston, TX, United States
| | - Minseon Kim
- Department of Neurology, University of Texas McGovern Medical School, Houston, TX, United States
| | - Zafer Keser
- Department of Neurology, University of Texas McGovern Medical School, Houston, TX, United States
| | - Lamya Ibrahim
- Department of Neurology, University of Texas McGovern Medical School, Houston, TX, United States
| | - Sonia K. Singh
- Department of Neurology, University of Texas McGovern Medical School, Houston, TX, United States
| | - Mohammed J. Ahmad
- Department of Neurology, University of Texas McGovern Medical School, Houston, TX, United States
| | - Omar Hasan
- Department of Neurology, University of Texas McGovern Medical School, Houston, TX, United States
| | - Arash Kamali
- Department of Diagnostic and Interventional Radiology, University of Texas McGovern Medical School, Houston, TX, United States
| | - Khader M. Hasan
- Department of Diagnostic and Interventional Radiology, University of Texas McGovern Medical School, Houston, TX, United States
| | - Paul E. Schulz
- Department of Neurology, University of Texas McGovern Medical School, Houston, TX, United States
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30
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Cheng S, Mao X, Lin X, Wehn A, Hu S, Mamrak U, Khalin I, Wostrack M, Ringel F, Plesnila N, Terpolilli NA. Acid-Ion Sensing Channel 1a Deletion Reduces Chronic Brain Damage and Neurological Deficits after Experimental Traumatic Brain Injury. J Neurotrauma 2021; 38:1572-1584. [PMID: 33779289 DOI: 10.1089/neu.2020.7568] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Traumatic brain injury (TBI) causes long-lasting neurodegeneration and cognitive impairments; however, the underlying mechanisms of these processes are not fully understood. Acid-sensing ion channels 1a (ASIC1a) are voltage-gated Na+- and Ca2+-channels shown to be involved in neuronal cell death; however, their role for chronic post-traumatic brain damage is largely unknown. To address this issue, we used ASIC1a-deficient mice and investigated their outcome up to 6 months after TBI. ASIC1a-deficient mice and their wild-type (WT) littermates were subjected to controlled cortical impact (CCI) or sham surgery. Brain water content was analyzed 24 h and behavioral outcome up to 6 months after CCI. Lesion volume was assessed longitudinally by magnetic resonance imaging and 6 months after injury by histology. Brain water content was significantly reduced in ASIC1a-/- animals compared to WT controls. Over time, ASIC1a-/- mice showed significantly reduced lesion volume and reduced hippocampal damage. This translated into improved cognitive function and reduced depression-like behavior. Microglial activation was significantly reduced in ASIC1a-/- mice. In conclusion, ASIC1a deficiency resulted in reduced edema formation acutely after TBI and less brain damage, functional impairments, and neuroinflammation up to 6 months after injury. Hence, ASIC1a seems to be involved in chronic neurodegeneration after TBI.
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Affiliation(s)
- Shiqi Cheng
- Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Xiang Mao
- Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Xiangjiang Lin
- Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Antonia Wehn
- Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Senbin Hu
- Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Uta Mamrak
- Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Igor Khalin
- Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Maria Wostrack
- Department of Neurosurgery, Technical University Munich, Munich, Germany
| | - Florian Ringel
- Department of Neurosurgery, University Medical Center Mainz, Mainz, Germany
| | - Nikolaus Plesnila
- Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Nicole A Terpolilli
- Institute for Stroke and Dementia Research, Munich University Hospital, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Department of Neurosurgery, Munich University Hospital, Munich, Germany
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31
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Burrowes SAB, Rhodes CS, Meeker TJ, Greenspan JD, Gullapalli RP, Seminowicz DA. Decreased grey matter volume in mTBI patients with post-traumatic headache compared to headache-free mTBI patients and healthy controls: a longitudinal MRI study. Brain Imaging Behav 2021; 14:1651-1659. [PMID: 30980274 DOI: 10.1007/s11682-019-00095-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Traumatic brain injury (TBI) occurs in 1.7 million people annually and many patients go on to develop persistent disorders including post-traumatic headache (PTH). PTH is considered chronic if it continues past 3 months. In this study we aimed to identify changes in cerebral grey matter volume (GMV) associated with PTH in mild TBI patients. 50 mTBI patients (31 Non-PTH; 19 PTH) underwent MRI scans: within 10 days post-injury, 1 month, 6 months and 18 months. PTH was assessed at visit 4 by a post-TBI headache questionnaire. Healthy controls (n = 21) were scanned twice 6 months apart. Compared to non-PTH, PTH patients had decreased GMV across two large clusters described as the right anterior-parietal (p = 0.012) and left temporal-opercular (p = 0.027). Compared to healthy controls non-PTH patients had decreased GMV in the left thalamus (p = 0.047); PTH patients had decreased GMV in several extensive clusters: left temporal-opercular (p = 0.003), temporal-parietal (p = 0.041), superior frontal gyrus (p = 0.008) and right middle frontal/superior frontal gyrus (0.004) and anterior-parietal (p = 0.003). Differences between PTH and non-PTH patients were most striking at early time points. These early changes may be associated with an increased risk of PTH. Patients with these changes should be monitored for chronic PTH.
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Affiliation(s)
- Shana A B Burrowes
- Department of Epidemiology and Public Health, School of Medicine, University of Maryland Baltimore, Baltimore, MD, USA.,Department of Neural and Pain Sciences, School of Dentistry, University of Maryland Baltimore, 650 W. Baltimore Street, 8 South, Baltimore, MD, 21201, USA.,Center to Advance Chronic Pain Research, University of Maryland Baltimore, Baltimore, MD, USA
| | - Chandler Sours Rhodes
- Diagnostic Radiology and Nuclear Medicine, School of Medicine, University of Maryland Baltimore, Baltimore, MD, USA
| | - Timothy J Meeker
- Department of Neural and Pain Sciences, School of Dentistry, University of Maryland Baltimore, 650 W. Baltimore Street, 8 South, Baltimore, MD, 21201, USA
| | - Joel D Greenspan
- Department of Neural and Pain Sciences, School of Dentistry, University of Maryland Baltimore, 650 W. Baltimore Street, 8 South, Baltimore, MD, 21201, USA.,Center to Advance Chronic Pain Research, University of Maryland Baltimore, Baltimore, MD, USA
| | - Rao P Gullapalli
- Diagnostic Radiology and Nuclear Medicine, School of Medicine, University of Maryland Baltimore, Baltimore, MD, USA
| | - David A Seminowicz
- Department of Neural and Pain Sciences, School of Dentistry, University of Maryland Baltimore, 650 W. Baltimore Street, 8 South, Baltimore, MD, 21201, USA. .,Center to Advance Chronic Pain Research, University of Maryland Baltimore, Baltimore, MD, USA.
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32
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Graham NSN, Jolly A, Zimmerman K, Bourke NJ, Scott G, Cole JH, Schott JM, Sharp DJ. Diffuse axonal injury predicts neurodegeneration after moderate-severe traumatic brain injury. Brain 2021; 143:3685-3698. [PMID: 33099608 DOI: 10.1093/brain/awaa316] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 07/16/2020] [Accepted: 08/03/2020] [Indexed: 11/14/2022] Open
Abstract
Traumatic brain injury is associated with elevated rates of neurodegenerative diseases such as Alzheimer's disease and chronic traumatic encephalopathy. In experimental models, diffuse axonal injury triggers post-traumatic neurodegeneration, with axonal damage leading to Wallerian degeneration and toxic proteinopathies of amyloid and hyperphosphorylated tau. However, in humans the link between diffuse axonal injury and subsequent neurodegeneration has yet to be established. Here we test the hypothesis that the severity and location of diffuse axonal injury predicts the degree of progressive post-traumatic neurodegeneration. We investigated longitudinal changes in 55 patients in the chronic phase after moderate-severe traumatic brain injury and 19 healthy control subjects. Fractional anisotropy was calculated from diffusion tensor imaging as a measure of diffuse axonal injury. Jacobian determinant atrophy rates were calculated from serial volumetric T1 scans as a measure of measure post-traumatic neurodegeneration. We explored a range of potential predictors of longitudinal post-traumatic neurodegeneration and compared the variance in brain atrophy that they explained. Patients showed widespread evidence of diffuse axonal injury, with reductions of fractional anisotropy at baseline and follow-up in large parts of the white matter. No significant changes in fractional anisotropy over time were observed. In contrast, abnormally high rates of brain atrophy were seen in both the grey and white matter. The location and extent of diffuse axonal injury predicted the degree of brain atrophy: fractional anisotropy predicted progressive atrophy in both whole-brain and voxelwise analyses. The strongest relationships were seen in central white matter tracts, including the body of the corpus callosum, which are most commonly affected by diffuse axonal injury. Diffuse axonal injury predicted substantially more variability in white matter atrophy than other putative clinical or imaging measures, including baseline brain volume, age, clinical measures of injury severity and microbleeds (>50% for fractional anisotropy versus <5% for other measures). Grey matter atrophy was not predicted by diffuse axonal injury at baseline. In summary, diffusion MRI measures of diffuse axonal injury are a strong predictor of post-traumatic neurodegeneration. This supports a causal link between axonal injury and the progressive neurodegeneration that is commonly seen after moderate/severe traumatic brain injury but has been of uncertain aetiology. The assessment of diffuse axonal injury with diffusion MRI is likely to improve prognostic accuracy and help identify those at greatest neurodegenerative risk for inclusion in clinical treatment trials.
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Affiliation(s)
- Neil S N Graham
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK
| | - Amy Jolly
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK
| | - Karl Zimmerman
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK
| | - Niall J Bourke
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK
| | - Gregory Scott
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK
| | - James H Cole
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.,Centre for Medical Image Computing, University College London, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - David J Sharp
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK.,Centre for Blast Injury Studies, Imperial College London, London, UK
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33
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Veksler R, Vazana U, Serlin Y, Prager O, Ofer J, Shemen N, Fisher AM, Minaeva O, Hua N, Saar-Ashkenazy R, Benou I, Riklin-Raviv T, Parker E, Mumby G, Kamintsky L, Beyea S, Bowen CV, Shelef I, O'Keeffe E, Campbell M, Kaufer D, Goldstein LE, Friedman A. Slow blood-to-brain transport underlies enduring barrier dysfunction in American football players. Brain 2021; 143:1826-1842. [PMID: 32464655 PMCID: PMC7297017 DOI: 10.1093/brain/awaa140] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 02/27/2020] [Accepted: 03/11/2020] [Indexed: 12/14/2022] Open
Abstract
Repetitive mild traumatic brain injury in American football players has garnered increasing public attention following reports of chronic traumatic encephalopathy, a progressive tauopathy. While the mechanisms underlying repetitive mild traumatic brain injury-induced neurodegeneration are unknown and antemortem diagnostic tests are not available, neuropathology studies suggest a pathogenic role for microvascular injury, specifically blood–brain barrier dysfunction. Thus, our main objective was to demonstrate the effectiveness of a modified dynamic contrast-enhanced MRI approach we have developed to detect impairments in brain microvascular function. To this end, we scanned 42 adult male amateur American football players and a control group comprising 27 athletes practicing a non-contact sport and 26 non-athletes. MRI scans were also performed in 51 patients with brain pathologies involving the blood–brain barrier, namely malignant brain tumours, ischaemic stroke and haemorrhagic traumatic contusion. Based on data from prolonged scans, we generated maps that visualized the permeability value for each brain voxel. Our permeability maps revealed an increase in slow blood-to-brain transport in a subset of amateur American football players, but not in sex- and age-matched controls. The increase in permeability was region specific (white matter, midbrain peduncles, red nucleus, temporal cortex) and correlated with changes in white matter, which were confirmed by diffusion tensor imaging. Additionally, increased permeability persisted for months, as seen in players who were scanned both on- and off-season. Examination of patients with brain pathologies revealed that slow tracer accumulation characterizes areas surrounding the core of injury, which frequently shows fast blood-to-brain transport. Next, we verified our method in two rodent models: rats and mice subjected to repeated mild closed-head impact injury, and rats with vascular injury inflicted by photothrombosis. In both models, slow blood-to-brain transport was observed, which correlated with neuropathological changes. Lastly, computational simulations and direct imaging of the transport of Evans blue-albumin complex in brains of rats subjected to recurrent seizures or focal cerebrovascular injury suggest that increased cellular transport underlies the observed slow blood-to-brain transport. Taken together, our findings suggest dynamic contrast-enhanced-MRI can be used to diagnose specific microvascular pathology after traumatic brain injury and other brain pathologies.
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Affiliation(s)
- Ronel Veksler
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Udi Vazana
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Yonatan Serlin
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,Neurology Residency Training Program, McGill University, Montreal, QC, Canada
| | - Ofer Prager
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Jonathan Ofer
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Nofar Shemen
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Andrew M Fisher
- Molecular Aging and Development Laboratory, Boston University School of Medicine, College of Engineering, Alzheimer's Disease and CTE Center, and Photonics Center, Boston University, Boston, MA, USA
| | - Olga Minaeva
- Molecular Aging and Development Laboratory, Boston University School of Medicine, College of Engineering, Alzheimer's Disease and CTE Center, and Photonics Center, Boston University, Boston, MA, USA
| | - Ning Hua
- Molecular Aging and Development Laboratory, Boston University School of Medicine, College of Engineering, Alzheimer's Disease and CTE Center, and Photonics Center, Boston University, Boston, MA, USA
| | - Rotem Saar-Ashkenazy
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,Department of Psychology and the School of Social-work, Ashkelon Academic College, Israel
| | - Itay Benou
- Department of Electrical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Tammy Riklin-Raviv
- Department of Electrical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Ellen Parker
- Department of Medical Neuroscience, Dalhousie University, Faculty of Medicine, Halifax, NS, Canada
| | - Griffin Mumby
- Department of Medical Neuroscience, Dalhousie University, Faculty of Medicine, Halifax, NS, Canada
| | - Lyna Kamintsky
- Department of Medical Neuroscience, Dalhousie University, Faculty of Medicine, Halifax, NS, Canada
| | - Steven Beyea
- Biomedical Translational Imaging Centre (BIOTIC), IWK Health Centre and QEII Health Sciences Center, Dalhousie University, Halifax, NS, Canada
| | - Chris V Bowen
- Biomedical Translational Imaging Centre (BIOTIC), IWK Health Centre and QEII Health Sciences Center, Dalhousie University, Halifax, NS, Canada
| | - Ilan Shelef
- Department of Medical Imaging, Soroka University Medical Center, Beer-Sheva, Israel
| | - Eoin O'Keeffe
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Matthew Campbell
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Daniela Kaufer
- Department of Integrative Biology and the Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Lee E Goldstein
- Molecular Aging and Development Laboratory, Boston University School of Medicine, College of Engineering, Alzheimer's Disease and CTE Center, and Photonics Center, Boston University, Boston, MA, USA
| | - Alon Friedman
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,Department of Medical Neuroscience, Dalhousie University, Faculty of Medicine, Halifax, NS, Canada
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De Stefano F, Fiani B, Mayo T. A Foundational “Survival Guide” Overview of Sports-Related Head Injuries. Cureus 2020; 12:e11636. [PMID: 33376648 PMCID: PMC7755598 DOI: 10.7759/cureus.11636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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35
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Tomaiuolo F, Cerasa A, Lerch JP, Bivona U, Carlesimo GA, Ciurli P, Raffa G, Quattropani MC, Germanò A, Caltagirone C, Formisano R, Nigro S. Brain Neurodegeneration in the Chronic Stage of the Survivors from Severe Non-Missile Traumatic Brain Injury: A Voxel-Based Morphometry Within-Group at One versus Nine Years from a Head Injury. J Neurotrauma 2020; 38:283-290. [PMID: 32962533 DOI: 10.1089/neu.2020.7203] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
The long-term time course of neuropathological changes occurring in survivors from severe traumatic brain injury (TBI) remains uncertain. We investigated the brain morphometry and memory performance modifications within the same group of severe non-missile traumatic brain injury patients (nmTBI) after about ∼one year and at ∼ nine years from injury. Brain magnetic resonance imaging (MRI) measurements were performed with voxel-based morphometry (VBM) to determine specific changes in the gray matter (GM) and white matter (WM) and the overall gray matter volume modifications (GMV) and white matter volume modifications (WMV). Contemporarily, memory-tests were also administered. In comparison with healthy control subjects (HC), those with nmTBI showed a significant change and volume reduction in the GM and WM and also in the GMV and WMV after ∼one year; conversely, ∼nine years after injury, neurodegenerative changes spared the GM and GMV, but a prominent loss was detected in WMV and in WM sites, such as the superior longitudinal fasciculi, the body of the corpus callosum, the optic radiation, and the uncinate fasciculus. Memory performance at ∼one year in comparison with ∼nine years was stable with a subtle but significant trend toward recovery. These data demonstrate that patients with nmTBI undergo neurodegenerative processes during the chronic stage affecting mainly the cerebral WM rather than GM. Despite these anatomical brain parenchyma losses, memory performance tends to be stable or even slightly recovered. These results suggest possible correlations between progressive demyelinization and/or neuropsychiatric changes other than memory performance, and support possible treatments to prevent long-term WM degeneration of the examined nmTBI.
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Affiliation(s)
- Francesco Tomaiuolo
- Department of Clinical and Experimental Medicine and Department BIOMORF, University of Messina, Messina, Italy
| | - Antonio Cerasa
- IRIB, National Research Council, Cosenza, Italy, and S. Anna Institute and Research in Advanced Neurorehabilitation (RAN), Crotone, Italy
| | - Jason P Lerch
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, The University of Oxford, Oxford, United Kingdom
| | | | - Giovanni Augusto Carlesimo
- IRCCS Fondazione 'Santa Lucia', Rome, Italy.,Dipartimento di Medicina dei Sistemi, Università Tor Vergata, Rome, Italy
| | | | - Giovanni Raffa
- Division of Neurosurgery, Department BIOMORF, University of Messina, Messina, Italy
| | - Marina Catena Quattropani
- Department of Clinical and Experimental Medicine and Department BIOMORF, University of Messina, Messina, Italy
| | - Antonino Germanò
- Division of Neurosurgery, Department BIOMORF, University of Messina, Messina, Italy
| | | | | | - Salvatore Nigro
- Institute of Nanotechnology (NANOTEC), National Research Council, Lecce, Italy
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36
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Giudice JS, Alshareef A, Wu T, Gancayco CA, Reynier KA, Tustison NJ, Druzgal TJ, Panzer MB. An Image Registration-Based Morphing Technique for Generating Subject-Specific Brain Finite Element Models. Ann Biomed Eng 2020; 48:2412-2424. [PMID: 32725547 DOI: 10.1007/s10439-020-02584-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 07/22/2020] [Indexed: 01/10/2023]
Abstract
Finite element (FE) models of the brain are crucial for investigating the mechanisms of traumatic brain injury (TBI). However, FE brain models are often limited to a single neuroanatomy because the manual development of subject-specific models is time consuming. The objective of this study was to develop a pipeline to automatically generate subject-specific FE brain models using previously developed nonlinear image registration techniques, preserving both external and internal neuroanatomical characteristics. To verify the morphing-induced mesh distortions did not influence the brain deformation response, strain distributions predicted using the morphed model were compared to those from manually created voxel models of the same subject. Morphed and voxel models were generated for 44 subjects ranging in age, and simulated using head kinematics from a football concussion case. For each subject, brain strain distributions predicted by each model type were consistent, and differences in strain prediction was less than 4% between model type. This automated technique, taking approximately 2 h to generate a subject-specific model, will facilitate interdisciplinary research between the biomechanics and neuroimaging fields and could enable future use of biomechanical models in the clinical setting as a tool for improving diagnosis.
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Affiliation(s)
- J Sebastian Giudice
- Department of Mechanical and Aerospace Engineering, Center for Applied Biomechanics, University of Virginia, 4040 Lewis and Clark Dr., Charlottesville, VA, 229011, USA
| | - Ahmed Alshareef
- Department of Mechanical and Aerospace Engineering, Center for Applied Biomechanics, University of Virginia, 4040 Lewis and Clark Dr., Charlottesville, VA, 229011, USA
| | - Taotao Wu
- Department of Mechanical and Aerospace Engineering, Center for Applied Biomechanics, University of Virginia, 4040 Lewis and Clark Dr., Charlottesville, VA, 229011, USA
| | | | - Kristen A Reynier
- Department of Mechanical and Aerospace Engineering, Center for Applied Biomechanics, University of Virginia, 4040 Lewis and Clark Dr., Charlottesville, VA, 229011, USA
| | - Nicholas J Tustison
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA
| | - T Jason Druzgal
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA
| | - Matthew B Panzer
- Department of Mechanical and Aerospace Engineering, Center for Applied Biomechanics, University of Virginia, 4040 Lewis and Clark Dr., Charlottesville, VA, 229011, USA. .,Brain Injury and Sports Concussion Center, University of Virginia, Charlottesville, VA, USA.
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37
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Warling A, Uchida R, Shin H, Dodelson C, Garcia ME, Shea-Shumsky NB, Svirsky S, Pothast M, Kelley H, Schumann CM, Brzezinski C, Bauman MD, Alexander A, McKee AC, Stein TD, Schall M, Jacobs B. Putative dendritic correlates of chronic traumatic encephalopathy: A preliminary quantitative Golgi exploration. J Comp Neurol 2020; 529:1308-1326. [PMID: 32869318 DOI: 10.1002/cne.25022] [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: 07/27/2020] [Revised: 08/24/2020] [Accepted: 08/25/2020] [Indexed: 12/14/2022]
Abstract
Chronic traumatic encephalopathy (CTE) is a neurodegenerative disorder that is associated with repetitive head impacts. Neuropathologically, it is defined by the presence of perivascular hyperphosphorylated tau aggregates in cortical tissue (McKee et al., 2016, Acta Neuropathologica, 131, 75-86). Although many pathological and assumed clinical correlates of CTE have been well characterized, its effects on cortical dendritic arbors are still unknown. Here, we quantified dendrites and dendritic spines of supragranular pyramidal neurons in tissue from human frontal and occipital lobes, in 11 cases with (Mage = 79 ± 7 years) and 5 cases without (Mage = 76 ± 11 years) CTE. Tissue was stained with a modified rapid Golgi technique. Dendritic systems of 20 neurons per region in each brain (N = 640 neurons) were quantified using computer-assisted morphometry. One key finding was that CTE neurons exhibited increased variability and distributional changes across six of the eight dendritic system measures, presumably due to ongoing degeneration and compensatory reorganization of dendritic systems. However, despite heightened variation among CTE neurons, CTE cases exhibited lower mean values than Control cases in seven of the eight dendritic system measures. These dendritic alterations may represent a new pathological marker of CTE, and further examination of dendritic changes could contribute to both mechanistic and functional understandings of the disease.
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Affiliation(s)
- Allysa Warling
- Laboratory of Quantitative Neuromorphology, Neuroscience Program, Department of Psychology, Colorado College, Colorado Springs, Colorado, USA
| | - Riri Uchida
- Laboratory of Quantitative Neuromorphology, Neuroscience Program, Department of Psychology, Colorado College, Colorado Springs, Colorado, USA
| | - Hyunsoo Shin
- Laboratory of Quantitative Neuromorphology, Neuroscience Program, Department of Psychology, Colorado College, Colorado Springs, Colorado, USA
| | - Coby Dodelson
- Laboratory of Quantitative Neuromorphology, Neuroscience Program, Department of Psychology, Colorado College, Colorado Springs, Colorado, USA
| | - Madeleine E Garcia
- Laboratory of Quantitative Neuromorphology, Neuroscience Program, Department of Psychology, Colorado College, Colorado Springs, Colorado, USA
| | - N Beckett Shea-Shumsky
- Laboratory of Quantitative Neuromorphology, Neuroscience Program, Department of Psychology, Colorado College, Colorado Springs, Colorado, USA
| | - Sarah Svirsky
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Morgan Pothast
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Hunter Kelley
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Cynthia M Schumann
- Department of Psychiatry and Behavioral Sciences, University of California, Sacramento, California, USA
| | - Christine Brzezinski
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Melissa D Bauman
- Department of Psychiatry and Behavioral Sciences, University of California, Sacramento, California, USA
| | - Allyson Alexander
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Ann C McKee
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA.,Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.,Boston University Alzheimer's Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA.,VA Boston Healthcare System, Boston, Massachusetts, USA.,Department of Veterans Affairs Medical Center, Bedford, Massachusetts, USA
| | - Thor D Stein
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.,Boston University Alzheimer's Disease and CTE Center, Boston University School of Medicine, Boston, Massachusetts, USA.,VA Boston Healthcare System, Boston, Massachusetts, USA.,Department of Veterans Affairs Medical Center, Bedford, Massachusetts, USA
| | - Matthew Schall
- Laboratory of Quantitative Neuromorphology, Neuroscience Program, Department of Psychology, Colorado College, Colorado Springs, Colorado, USA
| | - Bob Jacobs
- Laboratory of Quantitative Neuromorphology, Neuroscience Program, Department of Psychology, Colorado College, Colorado Springs, Colorado, USA
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38
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Andreasen SH, Andersen KW, Conde V, Dyrby TB, Puonti O, Kammersgaard LP, Madsen CG, Madsen KH, Poulsen I, Siebner HR. Two Coarse Spatial Patterns of Altered Brain Microstructure Predict Post-traumatic Amnesia in the Subacute Stage of Severe Traumatic Brain Injury. Front Neurol 2020; 11:800. [PMID: 33013616 PMCID: PMC7498982 DOI: 10.3389/fneur.2020.00800] [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: 03/14/2020] [Accepted: 06/26/2020] [Indexed: 11/13/2022] Open
Abstract
Introduction: Diffuse traumatic axonal injury (TAI) is one of the key mechanisms leading to impaired consciousness after severe traumatic brain injury (TBI). In addition, preferential regional expression of TAI in the brain may also influence clinical outcome. Aim: We addressed the question whether the regional expression of microstructural changes as revealed by whole-brain diffusion tensor imaging (DTI) in the subacute stage after severe TBI may predict the duration of post-traumatic amnesia (PTA). Method: Fourteen patients underwent whole-brain DTI in the subacute stage after severe TBI. Mean fractional anisotropy (FA) and mean diffusivity (MD) were calculated for five bilateral brain regions: fronto-temporal, parieto-occipital, and midsagittal hemispheric white matter, as well as brainstem and basal ganglia. Region-specific calculation of mean FA and MD only considered voxels that showed no tissue damage, using an exclusive mask with all voxels that belonged to local brain lesions or microbleeds. Mean FA or MD of the five brain regions were entered in separate partial least squares (PLS) regression analyses to identify patterns of regional microstructural changes that account for inter-individual variations in PTA. Results: For FA, PLS analysis revealed two spatial patterns that significantly correlated with individual PTA. The lower the mean FA values in all five brain regions, the longer that PTA lasted. A pattern characterized by lower FA values in the deeper brain regions relative to the FA values in the hemispheric regions also correlated with longer PTA. Similar trends were found for MD, but opposite in sign. The spatial FA changes as revealed by PLS components predicted the duration of PTA. Individual PTA duration, as predicted by a leave-one-out cross-validation analysis, correlated with true PTA values (Spearman r = 0.68, p permutation = 0.008). Conclusion: Two coarse spatial patterns of microstructural damage, indexed as reduction in FA, were relevant to recovery of consciousness after TBI. One pattern expressed was consistent with diffuse microstructural damage across the entire brain. A second pattern was indicative of a preferential damage of deep midline brain structures.
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Affiliation(s)
- Sara H. Andreasen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Research Unit on Brain Injury Rehabilitation Copenhagen (RUBRIC), Department of Neurorehabilitation, Traumatic Brain Injury, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Mental Health Services East, Psychiatry Region Zealand, Roskilde, Denmark
| | - Kasper W. Andersen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Virginia Conde
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Clinical Neuroscience Laboratory, Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Tim B. Dyrby
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark
| | - Oula Puonti
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Lars P. Kammersgaard
- Research Unit on Brain Injury Rehabilitation Copenhagen (RUBRIC), Department of Neurorehabilitation, Traumatic Brain Injury, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Neurology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Camilla G. Madsen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Department for Radiology, Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Kristoffer H. Madsen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark
| | - Ingrid Poulsen
- Research Unit on Brain Injury Rehabilitation Copenhagen (RUBRIC), Department of Neurorehabilitation, Traumatic Brain Injury, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Research Unit Nursing and Health Care, Health, Aarhus University, Aarhus, Denmark
| | - Hartwig R. Siebner
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department for Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
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39
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Castaño-Leon AM, Cicuendez M, Navarro-Main B, Munarriz PM, Paredes I, Cepeda S, Hilario A, Ramos A, Gómez PA, Lagares A. PREMIO SIXTO OBRADOR SENEC 2019: El uso de la secuencia Tensor de difusión como herramienta pronóstica en los pacientes con traumatismo craneoencefálico grave y moderado. Parte II: Análisis longitudinal de las características del Tensor de difusión y su relación con la evolución de los pacientes. Neurocirugia (Astur) 2020; 31:231-248. [DOI: 10.1016/j.neucir.2019.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 11/27/2019] [Indexed: 10/25/2022]
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40
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Östberg A, Ledig C, Katila A, Maanpää HR, Posti JP, Takala R, Tallus J, Glocker B, Rueckert D, Tenovuo O. Volume Change in Frontal Cholinergic Structures After Traumatic Brain Injury and Cognitive Outcome. Front Neurol 2020; 11:832. [PMID: 32903569 PMCID: PMC7438550 DOI: 10.3389/fneur.2020.00832] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 07/03/2020] [Indexed: 01/02/2023] Open
Abstract
The cholinergic nuclei in the basal forebrain innervate frontal cortical structures regulating attention. Our aim was to investigate if cognitive test results measuring attention relate to the longitudinal volume change of cholinergically innervated structures following traumatic brain injury (TBI). During the prospective, observational TBIcare project patients with all severities of TBI (n = 114) and controls with acute orthopedic injuries (n = 17) were recruited. Head MRI was obtained in both acute (mean 2 weeks post-injury) and late (mean 8 months) time points. T1-weighted 3D MR images were analyzed with an automatic segmentation method to evaluate longitudinal, structural brain volume change. The cognitive outcome was assessed with the Cambridge Neuropsychological Test Automated Battery (CANTAB). Analyses included 16 frontal cortical structures, of which four showed a significant correlation between post-traumatic volume change and the CANTAB test results. The strongest correlation was found between the volume loss of the supplementary motor cortex and motor screening task results (R-sq 0.16, p < 0.0001), where poorer test results correlated with greater atrophy. Of the measured sum structures, greater cortical gray matter atrophy rate showed a significant correlation with the poorer CANTAB test results. TBI caused volume loss of frontal cortical structures that are heavily innervated by cholinergic neurons is associated with neuropsychological test results measuring attention.
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Affiliation(s)
- Anna Östberg
- Division of Clinical Neurosciences, Turku Brain Injury Centre, Turku University Hospital, Turku, Finland.,Department of Neurology, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
| | - Christian Ledig
- Department of Computing, Imperial College London, London, United Kingdom
| | - Ari Katila
- Department of Perioperative Services, Intensive Care and Pain Medicine, Turku University Hospital, Turku, Finland
| | - Henna-Riikka Maanpää
- Department of Neurology, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
| | - Jussi P Posti
- Division of Clinical Neurosciences, Turku Brain Injury Centre, Turku University Hospital, Turku, Finland.,Department of Neurology, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
| | - Riikka Takala
- Department of Perioperative Services, Intensive Care and Pain Medicine, Turku University Hospital, Turku, Finland
| | - Jussi Tallus
- Department of Neurology, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Ben Glocker
- Department of Computing, Imperial College London, London, United Kingdom
| | - Daniel Rueckert
- Department of Computing, Imperial College London, London, United Kingdom
| | - Olli Tenovuo
- Division of Clinical Neurosciences, Turku Brain Injury Centre, Turku University Hospital, Turku, Finland.,Department of Neurology, Institute of Clinical Medicine, University of Turku, Turku, Finland
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41
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Asselin PD, Gu Y, Merchant-Borna K, Abar B, Wright DW, Qiu X, Bazarian JJ. Spatial regression analysis of MR diffusion reveals subject-specific white matter changes associated with repetitive head impacts in contact sports. Sci Rep 2020; 10:13606. [PMID: 32788605 PMCID: PMC7423936 DOI: 10.1038/s41598-020-70604-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 07/26/2020] [Indexed: 02/06/2023] Open
Abstract
Repetitive head impacts (RHI) are a growing concern due to their possible neurocognitive effects, with research showing a season of RHI produce white matter (WM) changes seen on neuroimaging. We conducted a secondary analysis of diffusion tensor imaging (DTI) data for 28 contact athletes to compare WM changes. We collected pre-season and post-season DTI scans for each subject, approximately 3 months apart. We collected helmet data for the athletes, which we correlated with DTI data. We adapted the SPatial REgression Analysis of DTI (SPREAD) algorithm to conduct subject-specific longitudinal DTI analysis, and developed global inferential tools using functional norms and a novel robust p value combination test. At the individual level, most detected injured regions (93.3%) were associated with decreased FA values. Using meta-analysis techniques to combine injured regions across subjects, we found the combined injured region at the group level occupied the entire WM skeleton, suggesting the WM damage location is subject-specific. Several subject-specific functional summaries of SPREAD-detected WM change, e.g., the [Formula: see text] norm, significantly correlated with helmet impact measures, e.g. cumulative unweighted rotational acceleration (adjusted p = 0.0049), time between hits rotational acceleration (adjusted p value 0.0101), and time until DTI rotational acceleration (adjusted p = 0.0084), suggesting RHIs lead to WM changes.
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Affiliation(s)
- Patrick D Asselin
- Department of Pediatrics, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA
| | - Yu Gu
- Department of Biostatistics and Computational Biology, University of Rochester, 265 Crittenden Blvd, CU 420630, Rochester, NY, 14642-0630, USA
| | - Kian Merchant-Borna
- Department of Emergency Medicine, School of Medicine and Dentistry, University of Rochester, 265 Crittenden Blvd, Box 655C, Rochester, NY, 14642, USA
| | - Beau Abar
- Department of Emergency Medicine, School of Medicine and Dentistry, University of Rochester, 265 Crittenden Blvd, Box 655C, Rochester, NY, 14642, USA
| | - David W Wright
- Department of Emergency Medicine, Emory University, 49 Jesse Hill Jr. Drive, Atlanta, GA, 30303, USA
| | - Xing Qiu
- Department of Biostatistics and Computational Biology, University of Rochester, 265 Crittenden Blvd, CU 420630, Rochester, NY, 14642-0630, USA.
| | - Jeff J Bazarian
- Department of Emergency Medicine, School of Medicine and Dentistry, University of Rochester, 265 Crittenden Blvd, Box 655C, Rochester, NY, 14642, USA
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42
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Tepe V, Papesh M, Russell S, Lewis MS, Pryor N, Guillory L. Acquired Central Auditory Processing Disorder in Service Members and Veterans. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2020; 63:834-857. [PMID: 32163310 DOI: 10.1044/2019_jslhr-19-00293] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Purpose A growing body of evidence suggests that military service members and military veterans are at risk for deficits in central auditory processing. Risk factors include exposure to blast, neurotrauma, hazardous noise, and ototoxicants. We overview these risk factors and comorbidities, address implications for clinical assessment and care of central auditory processing deficits in service members and veterans, and specify knowledge gaps that warrant research. Method We reviewed the literature to identify studies of risk factors, assessment, and care of central auditory processing deficits in service members and veterans. We also assessed the current state of the science for knowledge gaps that warrant additional study. This literature review describes key findings relating to military risk factors and clinical considerations for the assessment and care of those exposed. Conclusions Central auditory processing deficits are associated with exposure to known military risk factors. Research is needed to characterize mechanisms, sources of variance, and differential diagnosis in this population. Existing best practices do not explicitly consider confounds faced by military personnel. Assessment and rehabilitation strategies that account for these challenges are needed. Finally, investment is critical to ensure that Veterans Affairs and Department of Defense clinical staff are informed, trained, and equipped to implement effective patient care.
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Affiliation(s)
- Victoria Tepe
- Department of Defense Hearing Center of Excellence, JBSA Lackland, TX
- The Geneva Foundation, Tacoma, WA
| | - Melissa Papesh
- VA RR&D National Center for Rehabilitative Auditory Research, VA Portland Health Care System, OR
- Department of Otolaryngology-Head & Neck Surgery, Oregon Health & Science University, Portland
| | - Shoshannah Russell
- Walter Reed National Military Medical Center, Bethesda, MD
- Henry Jackson Foundation, Bethesda, MD
| | - M Samantha Lewis
- VA RR&D National Center for Rehabilitative Auditory Research, VA Portland Health Care System, OR
- Department of Otolaryngology-Head & Neck Surgery, Oregon Health & Science University, Portland
- School of Audiology, Pacific University, Hillsboro, OR
| | - Nina Pryor
- Department of Defense Hearing Center of Excellence, JBSA Lackland, TX
- Air Force Research Laboratory, Wright-Patterson Air Force Base, OH
| | - Lisa Guillory
- Harry S. Truman Memorial Veterans' Hospital, Columbia, MO
- Department of Otolaryngology-Head and Neck Surgery, School of Medicine, University of Missouri, Columbia
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43
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Microglial Depletion with CSF1R Inhibitor During Chronic Phase of Experimental Traumatic Brain Injury Reduces Neurodegeneration and Neurological Deficits. J Neurosci 2020; 40:2960-2974. [PMID: 32094203 DOI: 10.1523/jneurosci.2402-19.2020] [Citation(s) in RCA: 165] [Impact Index Per Article: 41.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 01/03/2020] [Accepted: 01/23/2020] [Indexed: 02/06/2023] Open
Abstract
Chronic neuroinflammation with sustained microglial activation occurs following severe traumatic brain injury (TBI) and is believed to contribute to subsequent neurodegeneration and neurological deficits. Microglia, the primary innate immune cells in brain, are dependent on colony stimulating factor 1 receptor (CSF1R) signaling for their survival. In this preclinical study, we examined the effects of delayed depletion of chronically activated microglia on functional recovery and neurodegeneration up to 3 months postinjury. A CSF1R inhibitor, Plexxikon (PLX) 5622, was administered to adult male C57BL/6J mice at 1 month after controlled cortical impact to remove chronically activated microglia, and the inhibitor was withdrawn 1-week later to allow for microglial repopulation. Following TBI, the repopulated microglia displayed a ramified morphology similar to that of Sham uninjured mice, whereas microglia in vehicle-treated TBI mice showed the typical chronic posttraumatic hypertrophic morphology. PLX5622 treatment limited TBI-associated neuropathological changes at 3 months postinjury; these included a smaller cortical lesion, reduced hippocampal neuron cell death, and decreased NOX2- and NLRP3 inflammasome-associated neuroinflammation. Furthermore, delayed depletion of chronically activated microglia after TBI led to widespread changes in the cortical transcriptome and altered gene pathways involved in neuroinflammation, oxidative stress, and neuroplasticity. Using a variety of complementary neurobehavioral tests, PLX5622-treated TBI mice also had improved long-term motor and cognitive function recovery through 3 months postinjury. Together, these studies demonstrate that chronic phase removal of neurotoxic microglia after TBI using CSF1R inhibitors markedly reduce chronic neuroinflammation and associated neurodegeneration, as well as related motor and cognitive deficits.SIGNIFICANCE STATEMENT Traumatic brain injury (TBI) is a debilitating neurological disorder that can seriously impact the patient's quality of life. Microglial-mediated neuroinflammation is induced after severe TBI and contributes to neurological deficits and on-going neurodegenerative processes. Here, we investigated the effect of breaking the neurotoxic neuroinflammatory loop at 1-month after controlled cortical impact in mice by pharmacological removal of chronically activated microglia using a colony stimulating factor 1 receptor (CSF1R) inhibitor, Plexxikon 5622. Overall, we show that short-term elimination of microglia during the chronic phase of TBI followed by repopulation results in long-term improvements in neurological function, suppression of neuroinflammatory and oxidative stress pathways, and a reduction in persistent neurodegenerative processes. These studies are clinically relevant and support new concepts that the therapeutic window for TBI may be far longer than traditionally believed if chronic and evolving microglial-mediated neuroinflammation can be inhibited or regulated in a precise manner.
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44
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Siponkoski ST, Martínez-Molina N, Kuusela L, Laitinen S, Holma M, Ahlfors M, Jordan-Kilkki P, Ala-Kauhaluoma K, Melkas S, Pekkola J, Rodriguez-Fornells A, Laine M, Ylinen A, Rantanen P, Koskinen S, Lipsanen J, Särkämö T. Music Therapy Enhances Executive Functions and Prefrontal Structural Neuroplasticity after Traumatic Brain Injury: Evidence from a Randomized Controlled Trial. J Neurotrauma 2020; 37:618-634. [DOI: 10.1089/neu.2019.6413] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Sini-Tuuli Siponkoski
- Department of Psychology and Logopedics, Cognitive Brain Research Unit, University of Helsinki, Helsinki, Finland
| | - Noelia Martínez-Molina
- Department of Psychology and Logopedics, Cognitive Brain Research Unit, University of Helsinki, Helsinki, Finland
| | - Linda Kuusela
- HUS Medical Imaging Center, Department of Radiology, Helsinki Central University Hospital and University of Helsinki, Helsinki, Finland
- Department of Physics, University of Helsinki, Helsinki, Finland
| | | | - Milla Holma
- Musiikkiterapiaosuuskunta InstruMental (Music Therapy Cooperative InstruMental), Helsinki, Finland
| | | | | | - Katja Ala-Kauhaluoma
- Ludus Oy Tutkimus- ja kuntoutuspalvelut (Assessment and Intervention Services), Helsinki, Finland
| | - Susanna Melkas
- Department of Neurology and Brain Injury Outpatient Clinic, Helsinki University Central Hospital, Helsinki, Finland
| | - Johanna Pekkola
- HUS Medical Imaging Center, Department of Radiology, Helsinki Central University Hospital and University of Helsinki, Helsinki, Finland
| | - Antoni Rodriguez-Fornells
- Cognition and Brain Plasticity Group, Bellvitge Biomedical Research Institute, L'Hospitalet de Llobregat, Barcelona, Spain
- Department of Cognition, Development and Educational Psychology, University of Barcelona, Barcelona, Spain
- Catalan Institution for Research and Advanced Studies, Barcelona, Spain
| | - Matti Laine
- Department of Psychology, Åbo Akademi University, Turku, Finland
| | - Aarne Ylinen
- Department of Neurology and Brain Injury Outpatient Clinic, Helsinki University Central Hospital, Helsinki, Finland
- Tampere University Hospital, Tampere, Finland
| | | | - Sanna Koskinen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Jari Lipsanen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Teppo Särkämö
- Department of Psychology and Logopedics, Cognitive Brain Research Unit, University of Helsinki, Helsinki, Finland
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45
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Sharma B, Changoor A, Monteiro L, Colella B, Green R. Prognostic-factors for neurodegeneration in chronic moderate-to-severe traumatic brain injury: a systematic review protocol. Syst Rev 2020; 9:23. [PMID: 32014038 PMCID: PMC6998211 DOI: 10.1186/s13643-020-1281-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 01/15/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Traumatic brain injury (TBI) is a leading cause of death and disability. Recently, a paradigm shift in our understanding of moderate-to-severe TBI has led to its reconceptualization as a progressive neurodegenerative disorder. Widespread progressive atrophy is observed in the months and years post-injury, long after the acute effects of the injury have resolved. Some studies have begun to examine prognostic demographic, injury-related, and post-injury risk factors that contribute to these declines. A synthesis of this information, and in particular, an increased understanding of post-injury factors that may be modifiable, would improve our ability to design interventions to reduce neurodegeneration in moderate-to-severe TBI. This systematic review aims to identify prognostic factors for neural deterioration in moderate-to-severe TBI, and thereby inform future intervention research in this population. METHODS This review protocol was informed by and conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) guidelines. Search strategies (designed to identify literature on prognostic factors of neurodegeneration in adults with moderate-to-severe TBI) optimized for MEDLINE, EMBASE PsychINFO, CINAHL, SportDiscus, and Cochrane Central Register of Controlled Trials will be developed with the assistance of a health sciences librarian. Retrieved studies will be screened by two team members. Studies must report on longitudinal neuroimaging (i.e., two or more scans in the same cohort) or neuroimaging in a cross-sectional study and potential prognostic factors for neurodegeneration, such as demographics (e.g., gender, age, education), injury (e.g., severity, etiology), or post-injury characteristics (e.g., type and length of therapy, activity level, mood). DISCUSSION By identifying prognostic factors for neurodegeneration, this systematic review can help inform injury management, as well as intervention research designed to offset the effects of modifiable prognostic factors, such as low levels of cognitive or physical activity. In turn, this systematic review can increase our understanding of how to improve outcome following moderate-to-severe TBI. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42019122389.
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Affiliation(s)
- Bhanu Sharma
- Toronto Rehabilitation Institute, University Health Network, 550 University Avenue, Toronto, ON M5G2A2 Canada
- Department of Medical Sciences, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4 L8 Canada
| | - Alana Changoor
- Toronto Rehabilitation Institute, University Health Network, 550 University Avenue, Toronto, ON M5G2A2 Canada
| | - Leanne Monteiro
- Toronto Rehabilitation Institute, University Health Network, 550 University Avenue, Toronto, ON M5G2A2 Canada
| | - Brenda Colella
- Toronto Rehabilitation Institute, University Health Network, 550 University Avenue, Toronto, ON M5G2A2 Canada
| | - Robin Green
- Toronto Rehabilitation Institute, University Health Network, 550 University Avenue, Toronto, ON M5G2A2 Canada
- Department of Psychiatry, University of Toronto, 550 University Avenue, Toronto, ON M5G2A2 Canada
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Tsurugizawa T, Tamada K, Ono N, Karakawa S, Kodama Y, Debacker C, Hata J, Okano H, Kitamura A, Zalesky A, Takumi T. Awake functional MRI detects neural circuit dysfunction in a mouse model of autism. SCIENCE ADVANCES 2020; 6:eaav4520. [PMID: 32076634 PMCID: PMC7002125 DOI: 10.1126/sciadv.aav4520] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 11/22/2019] [Indexed: 05/05/2023]
Abstract
MRI has potential as a translational approach from rodents to humans. However, given that mouse functional MRI (fMRI) uses anesthetics for suppression of motion, it has been difficult to directly compare the result of fMRI in "unconsciousness" disease model mice with that in "consciousness" patients. We develop awake fMRI to investigate brain function in 15q dup mice, a copy number variation model of autism. Compared to wild-type mice, we find that 15q dup is associated with whole-brain functional hypoconnectivity and diminished fMRI responses to odors of stranger mice. Ex vivo diffusion MRI reveals widespread anomalies in white matter ultrastructure in 15q dup mice, suggesting a putative anatomical substrate for these functional hypoconnectivity. We show that d-cycloserine (DCS) treatment partially normalizes these anormalies in the frontal cortex of 15q dup mice and rescues some social behaviors. Our results demonstrate the utility of awake rodent fMRI and provide a rationale for further investigation of DCS therapy.
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Affiliation(s)
- Tomokazu Tsurugizawa
- NeuroSpin, Commissariat à l’Energie Atomique et aux Energies Alternatives, CEA Saclay, Gif-sur-Yvette 91191, France
- Corresponding author. (T.Ts.); (T.Ta.)
| | - Kota Tamada
- RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan
| | - Nobukazu Ono
- Institute for Innovation, Ajinomoto Co. Inc., Kawasaki 210-8681, Japan
| | - Sachise Karakawa
- Institute for Innovation, Ajinomoto Co. Inc., Kawasaki 210-8681, Japan
| | - Yuko Kodama
- Institute for Innovation, Ajinomoto Co. Inc., Kawasaki 210-8681, Japan
| | - Clement Debacker
- NeuroSpin, Commissariat à l’Energie Atomique et aux Energies Alternatives, CEA Saclay, Gif-sur-Yvette 91191, France
| | - Junichi Hata
- RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan
- Department of Physiology, Keio University School of Medicine, Shinjuku, Tokyo 160-8585, Japan
| | - Hideyuki Okano
- RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan
- Department of Physiology, Keio University School of Medicine, Shinjuku, Tokyo 160-8585, Japan
| | - Akihiko Kitamura
- Institute for Innovation, Ajinomoto Co. Inc., Kawasaki 210-8681, Japan
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre and Department of Biomedical Engineering, University of Melbourne, Victoria 3010, Australia
| | - Toru Takumi
- RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan
- Department of Physiology and Cell Biology, Kobe University School of Medicine, Chuo, Kobe 650-0017, Japan
- Corresponding author. (T.Ts.); (T.Ta.)
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Gropman AL, Anderson A. Novel imaging technologies for genetic diagnoses in the inborn errors of metabolism. JOURNAL OF TRANSLATIONAL GENETICS AND GENOMICS 2020; 4:429-445. [PMID: 35529470 PMCID: PMC9075742 DOI: 10.20517/jtgg.2020.09] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Many inborn errors of metabolism and genetic disorders affect the brain. The brain biochemistry may differ from that in the periphery and is not accessible by simple blood and urine sampling. Therefore, neuroimaging has proven to be a valuable tool to not only evaluate the brain structure, but also biochemistry, blood flow and function. Neuroimaging in patients with inborn errors of metabolism can include additional sequences in addition to T1 and T2-weighted imaging because in early stages, there may be no significant findings on the routine sequnces due to the lack of sensitivity or the evolution of abnormalities lags behind the ability of the imaging to detect it. In addition, findings on T1 and T2-weighted imaging of several inborn errors of metabolism may be non-specific and be seen in other non-genetic conditions. Therefore, additional neuroimaging modalities that have been employed including diffusion tensor imaging (DTI), magnetic resonance spectroscopy, functional MRI (fMRI), functional near infrared spectroscopy (fNIRS), or positron emission tomography (PET) imaging may further inform underlying changes in myelination, biochemistry, and functional connectivity. The use of Magnetic Resonance Spectroscopy in certain disorders may add a level of specificity depending upon the metabolite levels that are abnormal, as well as provide information about the process of brain injury (i.e., white matter, gray matter, energy deficiency, toxic buildup or depletion of key metabolites). It is even more challenging to understand how genetic or metabolic disorders contribute to short and/or long term changes in cognition which represent the downstream effects of IEMs. In order to image “cognition” or the downstream effects of a metabolic disorder on domains of brain function, more advanced techniques are required to analyze underlying fiber tracts or alternatively, methods such as fMRI enable generation of brain activation maps after both task based and resting state conditions. DTI can be used to look at changes in white matter tracks. Each imaging modality can explore an important aspect of the anatomy, physiology or biochemisty of the central nervous system. Their properties, pros and cons are discussed in this article. These imaging modalities will be discussed in the context of several inborn errors of metabolism including Galactosemia, Phenylketonruia, Maple syrup urine disease, Methylmalonic acidemia, Niemann-Pick Disease, type C1, Krabbe Disease, Ornithine transcarbamylase deficiency, Sjogren Larsson syndrome, Pelizeaus-Merzbacher disease, Pyruvate dehydrogenase deficiency, Nonketotic Hyperglycinemia and Fabry disease. Space constraints do not allow mention of all the disorders in which one of these modalities has been investigated, or where it would add value to diagnosis or disease progression.
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Affiliation(s)
- Andrea L Gropman
- Department of Neurology, Children's National Medical Center, Washington, DC 20010, USA
| | - Afrouz Anderson
- Department of Research, Focus Foundation, Crofton, MD 21035, USA
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Zhu J, Ling J, Ding N. Association between Diffusion Tensor Imaging Findings and Cognitive Outcomes Following Mild Traumatic Brain Injury: A PRISMA-Compliant Meta-Analysis. ACS Chem Neurosci 2019; 10:4864-4869. [PMID: 31746583 DOI: 10.1021/acschemneuro.9b00584] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Previous diffusion tensor imaging (DTI) research in mild traumatic brain injury (mTBI) patients only concentrated on a limited number of brain regions and a specific cognitive function. Thus, the study aimed to explore the association between DTI findings and cognitive function following mTBI using a meta-analysis. We conducted a search for articles exploring the associations between DTI findings and cognitive outcomes following mTBI published in English in databases (PubMed, Web of Science, EMBASE, Medline, and Google Scholar) before October 2019. The correlations were computed to explore associations between DTI findings and specific cognitive function. Finally, 9 studies (including 293 mTBI patients) were included in the meta-analysis. The study showed that higher fractional anisotropy (FA) values in the longitudinal fasciculus (LF), sagittal stratum (SS), cerebellum, and internal capsule (IC) were associated with better general cognitive function. However, the study showed that higher FA values in the cerebellar peduncles (CP) were associated with worse general cognitive function. Additionally, the present study showed that higher FA values in the mesencephalon, anterior corona radiata (ACR), forceps major (FM), uncinate fasciculus (UF), cingulum, and genu of corpus callosum (gCC) were related to better memory. Higher FA values in the ACR were associated with worse attention, processing speed, and working memory. The study indicated that higher mean diffusivity (MD)/apparent diffusion coefficient (ADC) values in the external capsule (EC) were associated with worse memory. Additionally, higher MD/ADC values in the UF were associated with worse attention, processing speed, and working memory. The present study showed that better white matter integrity (higher FA, lower MD/ADC) might be associated with better cognitive function following mTBI.
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Affiliation(s)
- Jie Zhu
- Department of Emergency Medicine, Beijing Tongren Hospital, Capital Medical University, No. 1 Dongjiaominxiang Street, Dongcheng District, Beijing 100730, China
| | - Jiyang Ling
- Department of Emergency Medicine, Beijing Tongren Hospital, Capital Medical University, No. 1 Dongjiaominxiang Street, Dongcheng District, Beijing 100730, China
| | - Ning Ding
- Department of Emergency Medicine, Beijing Tongren Hospital, Capital Medical University, No. 1 Dongjiaominxiang Street, Dongcheng District, Beijing 100730, China
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Sharma B, Changoor AT, Monteiro L, Colella B, Green REA. The scale of neurodegeneration in moderate-to-severe traumatic brain injury: a systematic review protocol. Syst Rev 2019; 8:332. [PMID: 31852523 PMCID: PMC6921548 DOI: 10.1186/s13643-019-1208-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 10/22/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Our understanding of recovery after moderate-to-severe traumatic brain injury (TBI) has shifted. Until recently, it was presumed that following a period of acute neurological vulnerability, the brain remained stable in the chronic stages of injury. However, recent research has shown neurodegeneration in the chronic stages of moderate-to-severe TBI, challenging the assumption of neurological stability. While there is extensive evidence that neurodegeneration occurs, debate remains regarding the scale and timing. This systematic review will evaluate the scale and timelines of neurodegeneration in adult patients with moderate-to-severe TBI. METHODS Literature searches will be conducted in six electronic databases (from inception onwards), including MEDLINE, EMBASE, PsycINFO, CINAHL, SportDiscus, and Cochrane Central Register of Controlled Trials. We will include observational studies that examine neurodegenerative changes within a single sample of TBI patients or studies that compare neuroimaging outcomes between TBI patients and healthy controls. Our primary outcome is structural neuroimaging, and our secondary outcome is diffusion tensor imaging for detection of post-injury white matter changes. All screening, data extraction, and study quality appraisal will be performed independently by the same two study members. It is expected that a narrative summary of the literature will be produced. If feasible, we will conduct a random-effects meta-analysis. However, given the expected heterogeneity between studies (with respect to, for example, timing of imaging, regions imaged) we do not expect to perform a meta-analysis; rather, a narrative synthesis of our findings is expected to be performed. DISCUSSION Understanding the scale and timelines of neurodegeneration in moderate-to-severe TBI (as well as which brain areas are most vulnerable to chronic declines) can inform intervention research designed to offset such changes. This may help improve patient outcome following moderate-to-severe TBI and, in turn, reduce the burden of the injury. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42019117548.
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Affiliation(s)
- Bhanu Sharma
- University Health Network – Toronto Rehabilitation Institute, 550 University Avenue, Toronto, ON M5G2A2 Canada
- Department of Medical Sciences, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4 L8 Canada
| | - Alana T. Changoor
- University Health Network – Toronto Rehabilitation Institute, 550 University Avenue, Toronto, ON M5G2A2 Canada
| | - Leanne Monteiro
- University Health Network – Toronto Rehabilitation Institute, 550 University Avenue, Toronto, ON M5G2A2 Canada
| | - Brenda Colella
- University Health Network – Toronto Rehabilitation Institute, 550 University Avenue, Toronto, ON M5G2A2 Canada
| | - Robin E. A. Green
- University Health Network – Toronto Rehabilitation Institute, 550 University Avenue, Toronto, ON M5G2A2 Canada
- Department of Psychiatry, University of Toronto, 550 University Avenue, Toronto, ON M5G2A2 Canada
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Liu Q, Li R, Qu W, Li B, Yang W, Cui R. Pharmacological and non-pharmacological interventions of depression after traumatic brain injury: A systematic review. Eur J Pharmacol 2019; 865:172775. [DOI: 10.1016/j.ejphar.2019.172775] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 10/26/2019] [Accepted: 11/01/2019] [Indexed: 12/27/2022]
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