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Papini MG, Avila AN, Fitzgerald M, Hellewell SC. Evidence for Altered White Matter Organization After Mild Traumatic Brain Injury: A Scoping Review on the Use of Diffusion Magnetic Resonance Imaging and Blood-Based Biomarkers to Investigate Acute Pathology and Relationship to Persistent Post-Concussion Symptoms. J Neurotrauma 2024. [PMID: 39096132 DOI: 10.1089/neu.2024.0039] [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: 08/04/2024] Open
Abstract
Mild traumatic brain injury (mTBI) is the most common form of traumatic brain injury. Post-concussive symptoms typically resolve after a few weeks although up to 20% of people experience these symptoms for >3 months, termed persistent post-concussive symptoms (PPCS). Subtle white matter (WM) microstructural damage is thought to underlie neurological and cognitive deficits experienced post-mTBI. Evidence suggests that diffusion magnetic resonance imaging (dMRI) and blood-based biomarkers could be used as surrogate markers of WM organization. We conducted a scoping review according to PRISMA-ScR guidelines, aiming to collate evidence for the use of dMRI and/or blood-based biomarkers of WM organization, in mTBI and PPCS, and document relationships between WM biomarkers and symptoms. We focused specifically on biomarkers of axonal or myelin integrity post-mTBI. Biomarkers excluded from this review therefore included the following: astroglial, perivascular, endothelial, and inflammatory markers. A literature search performed across four databases, EMBASE, Scopus, Google Scholar, and ProQuest, identified 100 records: 68 analyzed dMRI, 28 assessed blood-based biomarkers, and 4 used both. Blood biomarker studies commonly assessed axonal cytoskeleton proteins (i.e., tau); dMRI studies assessed measures of WM organization (i.e., fractional anisotropy). Significant biomarker alterations were frequently associated with heightened symptom burden and prolonged recovery time post-injury. These data suggest that dMRI and blood-based biomarkers may be useful proxies of WM organization, although few studies assessed these complementary measures in parallel, and the relationship between modalities remains unclear. Further studies are warranted to assess the benefit of a combined biomarker approach in evaluating alterations to WM organization after mTBI.
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Affiliation(s)
- Melissa G Papini
- Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, Australia
- Curtin Health Innovation Research Institute, Curtin University, Perth, Australia
- Perron Institute for Neurological and Translational Science, Perth, Australia
| | - André N Avila
- Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, Australia
- Curtin Health Innovation Research Institute, Curtin University, Perth, Australia
- Perron Institute for Neurological and Translational Science, Perth, Australia
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Curtin University, Perth, Australia
- Perron Institute for Neurological and Translational Science, Perth, Australia
| | - Sarah C Hellewell
- Curtin Health Innovation Research Institute, Curtin University, Perth, Australia
- Perron Institute for Neurological and Translational Science, Perth, Australia
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Clarke GJB, Skandsen T, Zetterberg H, Follestad T, Einarsen CE, Vik A, Mollnes TE, Pischke SE, Blennow K, Håberg AK. Longitudinal Associations Between Persistent Post-Concussion Symptoms and Blood Biomarkers of Inflammation and CNS-Injury After Mild Traumatic Brain Injury. J Neurotrauma 2024; 41:862-878. [PMID: 38117157 DOI: 10.1089/neu.2023.0419] [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: 12/21/2023] Open
Abstract
The aim of our study was to investigate the biological underpinnings of persistent post-concussion symptoms (PPCS) at 3 months following mild traumatic brain injury (mTBI). Patients (n = 192, age 16-60 years) with mTBI, defined as Glasgow Coma Scale (GCS) score between 13 and 15, loss of consciousness (LOC) <30 min, and post-traumatic amnesia (PTA) <24 h were included. Blood samples were collected at admission (within 72 h), 2 weeks, and 3 months. Concentrations of blood biomarkers associated with central nervous system (CNS) damage (glial fibrillary acidic protein [GFAP], neurofilament light [NFL], and tau) and inflammation (interferon gamma [IFNγ], interleukin [IL]-8, eotaxin, macrophage inflammatory protein-1-beta [MIP]-1β, monocyte chemoattractant protein [MCP]-1, interferon-gamma-inducible protein [IP]-10, IL-17A, IL-9, tumor necrosis factor [TNF], basic fibroblast growth factor [FGF]-basic platelet-derived growth factor [PDGF], and IL-1 receptor antagonist [IL-1ra]) were obtained. Demographic and injury-related factors investigated were age, sex, GCS score, LOC, PTA duration, traumatic intracranial finding on magnetic resonance imaging (MRI; within 72 h), and extracranial injuries. Delta values, that is, time-point differences in biomarker concentrations between 2 weeks minus admission and 3 months minus admission, were also calculated. PPCS was assessed with the British Columbia Post-Concussion Symptom Inventory (BC-PSI). In single variable analyses, longer PTA duration and a higher proportion of intracranial findings on MRI were found in the PPCS group, but no single biomarker differentiated those with PPCS from those without. In multi-variable models, female sex, longer PTA duration, MRI findings, and lower GCS scores were associated with increased risk of PPCS. Inflammation markers, but not GFAP, NFL, or tau, were associated with PPCS. At admission, higher concentrations of IL-8 and IL-9 and lower concentrations of TNF, IL-17a, and MCP-1 were associated with greater likelihood of PPCS; at 2 weeks, higher IL-8 and lower IFNγ were associated with PPCS; at 3 months, higher PDGF was associated with PPCS. Higher delta values of PDGF, IL-17A, and FGF-basic at 2 weeks compared with admission, MCP-1 at 3 months compared with admission, and TNF at 2 weeks and 3 months compared with admission were associated with greater likelihood of PPCS. Higher IL-9 delta values at both time-point comparisons were negatively associated with PPCS. Discriminability of individual CNS-injury and inflammation biomarkers for PPCS was around chance level, whereas the optimal combination of biomarkers yielded areas under the curve (AUCs) between 0.62 and 0.73. We demonstrate a role of biological factors on PPCS, including both positive and negative effects of inflammation biomarkers that differed based on sampling time-point after mTBI. PPCS was associated more with acute inflammatory processes, rather than ongoing inflammation or CNS-injury biomarkers. However, the modest discriminative ability of the models suggests other factors are more important in the development of PPCS.
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Affiliation(s)
- Gerard Janez Brett Clarke
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Sciences, Department of Clinical and Molecular Research, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Toril Skandsen
- Department of Neuromedicine and Movement Sciences, Department of Clinical and Molecular Research, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinic of Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
- UK Dementia Research Institute at UCL, University College London, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Turid Follestad
- Department of Clinical and Molecular Medicine, Department of Clinical and Molecular Research, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinical Research Unit Central Norway, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Cathrine Elisabeth Einarsen
- Department of Neuromedicine and Movement Sciences, Department of Clinical and Molecular Research, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinic of Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Anne Vik
- Department of Neuromedicine and Movement Sciences, Department of Clinical and Molecular Research, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Tom Eirik Mollnes
- Department of Immunology, Department of Anesthesiology and Intensive Care Medicine, Oslo University Hospital and University of Oslo, Oslo, Norway
- Center of Molecular Inflammation Research, Department of Clinical and Molecular Research, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Søren Erik Pischke
- Department of Immunology, Department of Anesthesiology and Intensive Care Medicine, Oslo University Hospital and University of Oslo, Oslo, Norway
- Clinic for Emergencies and Critical Care, Department of Anesthesiology and Intensive Care Medicine, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Asta Kristine Håberg
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Sciences, Department of Clinical and Molecular Research, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Pankatz L, Rojczyk P, Seitz-Holland J, Bouix S, Jung LB, Wiegand TLT, Bonke EM, Sollmann N, Kaufmann E, Carrington H, Puri T, Rathi Y, Coleman MJ, Pasternak O, George MS, McAllister TW, Zafonte R, Stein MB, Marx CE, Shenton ME, Koerte IK. Adverse Outcome Following Mild Traumatic Brain Injury Is Associated with Microstructure Alterations at the Gray and White Matter Boundary. J Clin Med 2023; 12:5415. [PMID: 37629457 PMCID: PMC10455493 DOI: 10.3390/jcm12165415] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/31/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023] Open
Abstract
The gray matter/white matter (GM/WM) boundary of the brain is vulnerable to shear strain associated with mild traumatic brain injury (mTBI). It is, however, unknown whether GM/WM microstructure is associated with long-term outcomes following mTBI. The diffusion and structural MRI data of 278 participants between 18 and 65 years of age with and without military background from the Department of Defense INTRuST study were analyzed. Fractional anisotropy (FA) was extracted at the GM/WM boundary across the brain and for each lobe. Additionally, two conventional analytic approaches were used: whole-brain deep WM FA (TBSS) and whole-brain cortical thickness (FreeSurfer). ANCOVAs were applied to assess differences between the mTBI cohort (n = 147) and the comparison cohort (n = 131). Associations between imaging features and post-concussive symptom severity, and functional and cognitive impairment were investigated using partial correlations while controlling for mental health comorbidities that are particularly common among military cohorts and were present in both the mTBI and comparison group. Findings revealed significantly lower whole-brain and lobe-specific GM/WM boundary FA (p < 0.011), and deep WM FA (p = 0.001) in the mTBI cohort. Whole-brain and lobe-specific GM/WM boundary FA was significantly negatively correlated with post-concussive symptoms (p < 0.039), functional (p < 0.016), and cognitive impairment (p < 0.049). Deep WM FA was associated with functional impairment (p = 0.002). Finally, no significant difference was observed in cortical thickness, nor between cortical thickness and outcome (p > 0.05). Findings from this study suggest that microstructural alterations at the GM/WM boundary may be sensitive markers of adverse long-term outcomes following mTBI.
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Affiliation(s)
- Lara Pankatz
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
| | - Philine Rojczyk
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
| | - Johanna Seitz-Holland
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- Département de génie logiciel et TI, École de Technologie Supérieure, Université du Québec, Montreal, QC H3C 1K3, Canada
| | - Leonard B. Jung
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
| | - Tim L. T. Wiegand
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
| | - Elena M. Bonke
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
- Graduate School of Systemic Neuroscience, Ludwig-Maximilians-Universität, 82152 Planegg, Germany
| | - Nico Sollmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, 89081 Ulm, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Elisabeth Kaufmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
- Department of Neurology, University Hospital, LMU, 81377 Munich, Germany
| | - Holly Carrington
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- Brain Injury Research Center of Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Twishi Puri
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
| | - Michael J. Coleman
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Mark S. George
- Psychiatry Department, Medical University of South Carolina, Charleston, SC 29425, USA;
- Ralph H. Johnson VA Medical Center, Charleston, SC 29401, USA
| | - Thomas W. McAllister
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA;
| | - Ross Zafonte
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA 02129, USA;
- Department of Physical Medicine and Rehabilitation, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Murray B. Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA;
- School of Public Health, University of California San Diego, La Jolla, CA 92093, USA
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA 92161, USA
| | - Christine E. Marx
- VA Mid-Atlantic Mental Illness Research and Clinical Center (MIRECC) and Durham VA Medical Center, Durham, NC 27705, USA;
- Department of Psychiatry and Behavior Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Inga K. Koerte
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Somerville, MA 02145, USA; (L.P.); (P.R.); (J.S.-H.); (S.B.); (L.B.J.); (T.L.T.W.); (E.M.B.); (N.S.); (E.K.); (H.C.); (T.P.); (Y.R.); (M.J.C.); (O.P.); (M.E.S.)
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, 80336 Munich, Germany
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Graduate School of Systemic Neuroscience, Ludwig-Maximilians-Universität, 82152 Planegg, Germany
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Diffusion-Weighted Imaging in Mild Traumatic Brain Injury: A Systematic Review of the Literature. Neuropsychol Rev 2023; 33:42-121. [PMID: 33721207 DOI: 10.1007/s11065-021-09485-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 02/09/2021] [Indexed: 12/14/2022]
Abstract
There is evidence that diffusion-weighted imaging (DWI) is able to detect tissue alterations following mild traumatic brain injury (mTBI) that may not be observed on conventional neuroimaging; however, findings are often inconsistent between studies. This systematic review assesses patterns of differences in DWI metrics between those with and without a history of mTBI. A PubMed literature search was performed using relevant indexing terms for articles published prior to May 14, 2020. Findings were limited to human studies using DWI in mTBI. Articles were excluded if they were not full-length, did not contain original data, if they were case studies, pertained to military populations, had inadequate injury severity classification, or did not report post-injury interval. Findings were reported independently for four subgroups: acute/subacute pediatric mTBI, acute/subacute adult mTBI, chronic adult mTBI, and sport-related concussion, and all DWI acquisition and analysis methods used were included. Patterns of findings between studies were reported, along with strengths and weaknesses of the current state of the literature. Although heterogeneity of sample characteristics and study methods limited the consistency of findings, alterations in DWI metrics were most commonly reported in the corpus callosum, corona radiata, internal capsule, and long association pathways. Many acute/subacute pediatric studies reported higher FA and lower ADC or MD in various regions. In contrast, acute/subacute adult studies most commonly indicate lower FA within the context of higher MD and RD. In the chronic phase of recovery, FA may remain low, possibly indicating overall demyelination or Wallerian degeneration over time. Longitudinal studies, though limited, generally indicate at least a partial normalization of DWI metrics over time, which is often associated with functional improvement. We conclude that DWI is able to detect structural mTBI-related abnormalities that may persist over time, although future DWI research will benefit from larger samples, improved data analysis methods, standardized reporting, and increasing transparency.
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Stenberg J, Skandsen T, Gøran Moen K, Vik A, Eikenes L, Håberg AK. Diffusion Tensor and Kurtosis Imaging Findings the First Year following Mild Traumatic Brain Injury. J Neurotrauma 2023; 40:457-471. [PMID: 36305387 PMCID: PMC9986024 DOI: 10.1089/neu.2022.0206] [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: 11/12/2022] Open
Abstract
Despite enormous research interest in diffusion tensor imaging and diffusion kurtosis imaging (DTI; DKI) following mild traumatic brain injury (MTBI), it remains unknown how diffusion in white matter evolves post-injury and relates to acute MTBI characteristics. This prospective cohort study aimed to characterize diffusion changes in white matter the first year after MTBI. Patients with MTBI (n = 193) and matched controls (n = 83) underwent 3T magnetic resonance imaging (MRI) within 72 h and 3- and 12-months post-injury. Diffusion data were analyzed in three steps: 1) voxel-wise comparisons between the MTBI and control group were performed with tract-based spatial statistics at each time-point; 2) clusters of significant voxels identified in step 1 above were evaluated longitudinally with mixed-effect models; 3) the MTBI group was divided into: (A) complicated (with macrostructural findings on MRI) and uncomplicated MTBI; (B) long (1-24 h) and short (< 1 h) post-traumatic amnesia (PTA); and (C) other and no other concurrent injuries to investigate if findings in step 1 were driven mainly by aberrant diffusion in patients with a more severe injury. At 72 h, voxel-wise comparisons revealed significantly lower fractional anisotropy (FA) in one tract and significantly lower mean kurtosis (Kmean) in 11 tracts in the MTBI compared with control group. At 3 months, the MTBI group had significantly higher mean diffusivity in eight tracts compared with controls. At 12 months, FA was significantly lower in four tracts and Kmean in 10 tracts in patients with MTBI compared with controls. There was considerable overlap in affected tracts across time, including the corpus callosum, corona radiata, internal and external capsule, and cerebellar peduncles. Longitudinal analyses revealed that the diffusion metrics remained relatively stable throughout the first year after MTBI. The significant group*time interactions identified were driven by changes in the control rather than the MTBI group. Further, differences identified in step 1 did not result from greater diffusion abnormalities in patients with complicated MTBI, long PTA, or other concurrent injuries, as standardized mean differences in diffusion metrics between the groups were small (0.07 ± 0.11) and non-significant. However, follow-up voxel-wise analyses revealed that other concurrent injuries had effects on diffusion metrics, but predominantly in other metrics and at other time-points than the effects observed in the MTBI versus control group analysis. In conclusion, patients with MTBI differed from controls in white matter integrity already 72 h after injury. Diffusion metrics remained relatively stable throughout the first year after MTBI and were not driven by deviating diffusion in patients with a more severe MTBI.
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Affiliation(s)
- Jonas Stenberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Toril Skandsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Kent Gøran Moen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Radiology, Vestre Viken Hospital Trust, Drammen Hospital, Drammen, Norway.,Department of Radiology, Nord-Trøndelag Hospital Trust, Levanger Hospital, Levanger, Norway
| | - Anne Vik
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Live Eikenes
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Asta K Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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Rapid Prediction and Accurate Location Selection of Mild Traumatic Brain Injury (mTBI) by Using Multiple Parameter Analysis of Diffusion Tensor Imaging (DTI): Integrating Correlational and Clinical Approaches. BIOMED RESEARCH INTERNATIONAL 2023; 2023:7467479. [PMID: 36700239 PMCID: PMC9870681 DOI: 10.1155/2023/7467479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 11/25/2022] [Accepted: 12/23/2022] [Indexed: 01/19/2023]
Abstract
Background Mild traumatic brain injury (mTBI) is a widespread and serious public health problem which also causes physical and psychological suffering to patients and their families and imposes a significant economic burden on society. But it is usually very difficult to detect and provide warning of mTBI in early stage. Therefore, a novel method is urgent for the increasing demands on the accurate and rapid prediction and feature selection of mTBI. Objectives To establish a better idea of the performance of neuroimage biomarker in the acute phase of mTBI, our study adopts diffusion tensor imaging (DTI) which could present the pathophysiological changes of white matter through several parameters noninvasively and combined with behavioral experiments such as intelligence quotient test, memory, executive function, and motion function to find the relationship between DTI abnormal brain regions and behavioral abnormalities. Then, provide new method for rapid prediction and feature selection of mTBI. Methods 77 mTBI patients were admitted to the Emergency and Neurosurgery Departments of the Third Xiangya Hospital of Central South University from August 2019 to July 2021; the patients (41 males and 36 females) suffered mTBI because of car accident (36), assault (11), and fall (30). All the mTBI patients were examined through MRI scan and behavioral psychology test within 3 days after injury. MRI images and behavioral psychology tests were also collected; the correlation between the DTI biomarker and the cognitive psychological outcome was analyzed. A series of integration and computational methods were also used for fusion arithmetic and result analysis. Results Compared with the healthy control group, the patients in the acute stage of mTBI presented lower scores in the digit symbol substitution test (DSST), suggesting that mTBI patients in the acute stage had decline in information processing speed and associative learning. The difference of DTI parameters in acute stage mTBI patients was mainly manifested as increased AD and MD values in multiple brain regions, while RD and FA values have no significant difference. The most significant brain regions were bilateral corticospinal tracts (CST), bilateral posterior internal capsule lentiform nucleus, bilateral superior longitudinal fasciculus, left terminal striae, and left sagittal plane with right posterior thalamic radiation. The Pearson correlation coefficient was significantly positive correlation between AD and MD elevation in the left sagittal layer and the results of DSST and digit span in acute stage mTBI patients. Conclusions The acute phase mTBI patients performed lower score on the DSST than those in the normal control group. This neuropsychological change was associated with increased AD value and MD value in the left sagittal layer, which indicated reduction of information processing speed in mTBI patients in the acute phase. It might be related to abnormal AD value and MD value in the upper longitudinal tract, lower longitudinal tract, lower frontal occipital tract, and sagittal layer. In this study, combined with neuropsychological test and increase of the AD value and MD value in certain brain region, neurosurgeon should pay more attention to the abnormal of the upper longitudinal tract and the patients' information processing speed in the diagnosis and treatment of the acute phase mTBI patients. The study offers a much more secure and integrated method for rapid prediction and feature selection of mTBI, which could have broader clinical approaches and application prospects.
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Clark CN, Edwards MJ, Ong BE, Goodliffe L, Ahmad H, Dilley MD, Betteridge S, Griffin C, Jenkins PO. Reframing postconcussional syndrome as an interface disorder of neurology, psychiatry and psychology. Brain 2022; 145:1906-1915. [PMID: 35472071 PMCID: PMC9246708 DOI: 10.1093/brain/awac149] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 03/30/2022] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
Persistent symptoms following a minor head injury can cause significant morbidity, yet the underlying mechanisms for this are poorly understood. The shortcomings of the current terminology that refer to non-specific symptom clusters is discussed. This update considers the need for a multi-dimensional approach for the heterogenous mechanisms driving persistent symptoms after mild traumatic brain injury. Relevant pathophysiology is discussed to make the case for mild traumatic brain injury to be conceptualized as an interface disorder spanning neurology, psychiatry and psychology. The relevance of pre-injury factors, psychological co-morbidities and their interaction with the injury to produce persistent symptoms are reviewed. The interplay with psychiatric diagnoses, functional and somatic symptom disorder presentations and the influence of the medicolegal process is considered. The judicious use and interpretation of investigations given the above complexity is discussed, with suggestions of how the explanation of the diagnostic formulation to the patient can be tailored, including insight into the above processes, to aid recovery. Moving beyond the one-dimensional concept of 'postconcussional syndrome' and reframing the cause of persistent symptoms following mild traumatic brain injury in a bio-psycho-socio-ecological model will hopefully improve understanding of the underlying contributory mechanistic interactions and facilitate treatment.
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Affiliation(s)
- Camilla N Clark
- Institute of Molecular & Clinical Sciences, St George's University of London, SW17 0RE London, UK
- UK DRI Care Research and Technology Centre, Imperial College London, W12 0BZ London, UK
- Neurology department, Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, SW17 0QT London, UK
| | - Mark J Edwards
- Institute of Molecular & Clinical Sciences, St George's University of London, SW17 0RE London, UK
- Neurology department, Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, SW17 0QT London, UK
| | - Bee Eng Ong
- Neurology department, Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, SW17 0QT London, UK
| | - Luke Goodliffe
- Neurology department, Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, SW17 0QT London, UK
| | - Hena Ahmad
- Neurology department, Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, SW17 0QT London, UK
| | - Michael D Dilley
- Neurology department, Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, SW17 0QT London, UK
| | - Shai Betteridge
- Neurology department, Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, SW17 0QT London, UK
| | - Colette Griffin
- Neurology department, Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, SW17 0QT London, UK
| | - Peter O Jenkins
- UK DRI Care Research and Technology Centre, Imperial College London, W12 0BZ London, UK
- Neurology department, Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, SW17 0QT London, UK
- Neurology Department, University Hospital Southampton NHS Foundation Trust, Southampton, UK
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8
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Mishra S, Singh VJ, Chawla PA, Chawla V. Neuroprotective Role of Nutritional Supplementation in Athletes. Curr Mol Pharmacol 2021; 15:129-142. [PMID: 34886789 DOI: 10.2174/1874467214666211209144721] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 06/22/2021] [Accepted: 08/31/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Neurodegenerative disorders belong to different classes of progressive/chronic conditions that affect the peripheral/central nervous system. It has been shown through studies that athletes who play sports involving repeated head trauma and sub-concussive impacts are more likely to experience neurological impairments and neurodegenerative disorders in the long run. AIMS The aim of the current narrative review article is to provide a summary of various nutraceuticals that offer promise in the prevention or management of sports-related injuries, especially concussions and mild traumatic brain injuries. METHODS This article reviews the various potential nutraceutical agents and their possible mechanisms in providing a beneficial effect in the injury recovery process. A thorough survey of the literature was carried out in the relevant databases to identify studies published in recent years. In the present article, we have also highlighted the major neurological disorders along with the associated nutraceutical(s) therapy in the management of disorders. RESULTS The exact pathological mechanism behind neurodegenerative conditions is complex as well as idiopathic. However, mitochondrial dysfunction, oxidative stress as well as intracellular calcium overload are some common reasons responsible for the progression of these neurodegenerative disorders. Owing to the multifaceted effects of nutraceuticals (complementary medicine), these supplements have gained importance as neuroprotective. These diet-based approaches inhibit different pathways in a physiological manner without eliciting adverse effects. Food habits and lifestyle of an individual also affect neurodegeneration. CONCLUSION Studies have shown nutraceuticals (such as resveratrol, omega-3-fatty acids) to be efficacious in terms of their neuroprotection against several neurodegenerative disorders and to be used as supplements in the management of traumatic brain injuries. Protection prior to injuries is needed since concussions or sub-concussive impacts may trigger several pathophysiological responses or cascades that can lead to long-term complications associated with CNS. Thus, the use of nutraceuticals as prophylactic treatment for neurological interventions has been proposed.
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Affiliation(s)
- Supriya Mishra
- Department of Pharmacology, SRM College of Pharmacy, Delhi-NCR. India
| | - Vikram Jeet Singh
- Department of Pharmaceutical Chemistry and Analysis, ISF College of Pharmacy, Moga-142001, Punjab. India
| | - Pooja A Chawla
- Department of Pharmaceutical Chemistry and Analysis, ISF College of Pharmacy, Moga-142001, Punjab. India
| | - Viney Chawla
- Department of Pharmaceutics, University Institute of Pharmaceutical Sciences and Research, Baba Farid University of Health Sciences, Faridkot-151203, Punjab. India
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9
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Gumus M, Santos A, Tartaglia MC. Diffusion and functional MRI findings and their relationship to behaviour in postconcussion syndrome: a scoping review. J Neurol Neurosurg Psychiatry 2021; 92:1259-1270. [PMID: 34635568 DOI: 10.1136/jnnp-2021-326604] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 09/22/2021] [Indexed: 11/04/2022]
Abstract
Postconcussion syndrome (PCS) is a term attributed to the constellation of symptoms that fail to recover after a concussion. PCS is associated with a variety of symptoms such as headaches, concentration deficits, fatigue, depression and anxiety that have an enormous impact on patients' lives. There is currently no diagnostic biomarker for PCS. There have been attempts at identifying structural and functional brain changes in patients with PCS, using diffusion tensor imaging (DTI) and functional MRI (fMRI), respectively, and relate them to specific PCS symptoms. In this scoping review, we appraised, synthesised and summarised all empirical studies that (1) investigated structural or functional brain changes in PCS using DTI or fMRI, respectively, and (2) assessed behavioural alterations in patients with PCS. We performed a literature search in MEDLINE (Ovid), Embase (Ovid) and PsycINFO (Ovid) for primary research articles published up to February 2020. We identified 8306 articles and included 45 articles that investigated the relationship between DTI and fMRI parameters and behavioural changes in patients with PCS: 20 diffusion, 20 fMRI studies and 5 papers with both modalities. Most frequently studied structures were the corpus callosum, superior longitudinal fasciculus in diffusion and the dorsolateral prefrontal cortex and default mode network in the fMRI literature. Although some white matter and fMRI changes were correlated with cognitive or neuropsychiatric symptoms, there were no consistent, converging findings on the relationship between neuroimaging abnormalities and behavioural changes which could be largely due to the complex and heterogeneous presentation of PCS. Furthermore, the heterogeneity of symptoms in PCS may preclude discovery of one biomarker for all patients. Further research should take advantage of multimodal neuroimaging to better understand the brain-behaviour relationship, with a focus on individual differences rather than on group comparisons.
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Affiliation(s)
- Melisa Gumus
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Alexandra Santos
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada .,Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.,Canadian Concussion Centre, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
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10
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Hakulinen U, Brander A, Ilvesmäki T, Helminen M, Öhman J, Luoto TM, Eskola H. Reliability of the freehand region-of-interest method in quantitative cerebral diffusion tensor imaging. BMC Med Imaging 2021; 21:144. [PMID: 34607554 PMCID: PMC8491381 DOI: 10.1186/s12880-021-00663-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 09/01/2021] [Indexed: 11/10/2022] Open
Abstract
Background Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique used for evaluating changes in the white matter in brain parenchyma. The reliability of quantitative DTI analysis is influenced by several factors, such as the imaging protocol, pre-processing and post-processing methods, and selected diffusion parameters. The region-of-interest (ROI) method is most widely used of the post-processing methods because it is found in commercial software. The focus of our research was to study the reliability of the freehand ROI method using various intra- and inter-observer analyses. Methods This study included 40 neurologically healthy participants who underwent diffusion MRI of the brain with a 3 T scanner. The measurements were performed at nine different anatomical locations using a freehand ROI method. The data extracted from the ROIs included the regional mean values, intra- and inter-observer variability and reliability. The used DTI parameters were fractional anisotropy (FA), the apparent diffusion coefficient (ADC), and axial (AD) and radial (RD) diffusivity. Results The average intra-class correlation coefficient (ICC) of the intra-observer was found to be 0.9 (excellent). The single ICC results were excellent (> 0.8) or adequate (> 0.69) in eight out of the nine regions in terms of FA and ADC. The most reliable results were found in the frontobasal regions. Significant differences between age groups were also found in the frontobasal regions. Specifically, the FA and AD values were significantly higher and the RD values lower in the youngest age group (18–30 years) compared to the other age groups. Conclusions The quantitative freehand ROI method can be considered highly reliable for the average ICC and mostly adequate for the single ICC. The freehand method is suitable for research work with a well-experienced observer. Measurements should be performed at least twice in the same region to ensure that the results are sufficiently reliable. In our study, reliability was slightly undermined by artifacts in some regions such as the cerebral peduncle and centrum semiovale. From a clinical point of view, the results are most reliable in adults under the age of 30, when age-related changes in brain white matter have not yet occurred.
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Affiliation(s)
- Ullamari Hakulinen
- Department of Medical Physics, Medical Imaging Center of Pirkanmaa Hospital District, Tampere, Finland. .,Department of Radiology, Medical Imaging Center of Pirkanmaa Hospital District, Tampere, Finland. .,Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
| | - Antti Brander
- Department of Radiology, Medical Imaging Center of Pirkanmaa Hospital District, Tampere, Finland
| | - Tero Ilvesmäki
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mika Helminen
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland.,Tays Research Services, Tampere University Hospital, Tampere, Finland
| | - Juha Öhman
- Department of Neurosurgery, Tampere University Hospital and Tampere University, Tampere, Finland
| | - Teemu M Luoto
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,Department of Neurosurgery, Tampere University Hospital and Tampere University, Tampere, Finland
| | - Hannu Eskola
- Department of Radiology, Medical Imaging Center of Pirkanmaa Hospital District, Tampere, Finland.,Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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11
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Mortaheb S, Filippini MM, Kaux JF, Annen J, Lejeune N, Martens G, Calderón MAF, Laureys S, Thibaut A. Neurophysiological Biomarkers of Persistent Post-concussive Symptoms: A Scoping Review. Front Neurol 2021; 12:687197. [PMID: 34566837 PMCID: PMC8459021 DOI: 10.3389/fneur.2021.687197] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 07/28/2021] [Indexed: 11/25/2022] Open
Abstract
Background and Objectives: Persistent post-concussive symptoms (PCS) consist of neurologic and psychological complaints persisting after a mild traumatic brain injury (mTBI). It affects up to 50% of mTBI patients, may cause long-term disability, and reduce patients' quality of life. The aim of this review was to examine the possible use of different neuroimaging modalities in PCS. Methods: Articles from Pubmed database were screened to extract studies that investigated the relationship between any neuroimaging features and symptoms of PCS. Descriptive statistics were applied to report the results. Results: A total of 80 out of 939 papers were included in the final review. Ten examined conventional MRI (30% positive finding), 24 examined diffusion weighted imaging (54.17% positive finding), 23 examined functional MRI (82.61% positive finding), nine examined electro(magneto)encephalography (77.78% positive finding), and 14 examined other techniques (71% positive finding). Conclusion: MRI was the most widely used technique, while functional techniques seem to be the most sensitive tools to evaluate PCS. The common functional patterns associated with symptoms of PCS were a decreased anti-correlation between the default mode network and the task positive network and reduced brain activity in specific areas (most often in the prefrontal cortex). Significance: Our findings highlight the importance to use functional approaches which demonstrated a functional alteration in brain connectivity and activity in most studies assessing PCS.
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Affiliation(s)
- Sepehr Mortaheb
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.,Brain Clinic, University Hospital of Liège, Liège, Belgium.,Physiology of Cognition Lab., GIGA-Consciousness, University of Liège, Liège, Belgium
| | - Maria Maddalena Filippini
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.,Brain Clinic, University Hospital of Liège, Liège, Belgium.,Neuromotor and Rehabilitation Department, Azienda Unita Sanitaria Locale-Istituto di Ricovero e Cura a Carattere Scientifico (USL-IRCSS) di Reggio Emilia, Reggio Emilia, Italy
| | - Jean-François Kaux
- Physical Medicine and Sport Traumatology Department, Sports, FIFA Medical Centre of Excellence, IOC Research Centre for Prevention of Injury and Protection of Athletes Health, FIMS Collaborative Centre of Sport Medicine, University and University Hospital of Liège, Liège, Belgium
| | - Jitka Annen
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.,Brain Clinic, University Hospital of Liège, Liège, Belgium
| | - Nicolas Lejeune
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.,Brain Clinic, University Hospital of Liège, Liège, Belgium.,Institute of NeuroScience, University of Louvain, Brussels, Belgium
| | - Géraldine Martens
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.,Physical Medicine and Sport Traumatology Department, Sports, FIFA Medical Centre of Excellence, IOC Research Centre for Prevention of Injury and Protection of Athletes Health, FIMS Collaborative Centre of Sport Medicine, University and University Hospital of Liège, Liège, Belgium
| | | | - Steven Laureys
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.,Brain Clinic, University Hospital of Liège, Liège, Belgium
| | - Aurore Thibaut
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.,Brain Clinic, University Hospital of Liège, Liège, Belgium
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12
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Stenberg J, Eikenes L, Moen KG, Vik A, Håberg AK, Skandsen T. Acute Diffusion Tensor and Kurtosis Imaging and Outcome following Mild Traumatic Brain Injury. J Neurotrauma 2021; 38:2560-2571. [PMID: 33858218 PMCID: PMC8403189 DOI: 10.1089/neu.2021.0074] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
In this prospective cohort study, we investigated associations between acute diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) metrics and persistent post-concussion symptoms (PPCS) 3 months after mild traumatic brain injury (mTBI). Adult patients with mTBI (n = 176) and community controls (n = 78) underwent 3 Tesla magnetic resonance imaging (MRI) within 72 h post-injury, estimation of cognitive reserve at 2 weeks, and PPCS assessment at 3 months. Eight DTI and DKI metrics were examined with Tract-Based Spatial Statistics. Analyses were performed in the total sample in uncomplicated mTBI only (i.e., without lesions on clinical MRI), and with cognitive reserve both controlled for and not. Patients with PPCS (n = 35) had lower fractional anisotropy (in 2.7% of all voxels) and kurtosis fractional anisotropy (in 6.9% of all voxels), and higher radial diffusivity (in 0.3% of all voxels), than patients without PPCS (n = 141). In uncomplicated mTBI, only fractional anisotropy was significantly lower in patients with PPCS. Compared with controls, patients with PPCS had widespread deviations in all diffusion metrics. When including cognitive reserve as a covariate, no significant differences in diffusion metrics between patients with and without PPCS were present, but patients with PPCS still had significantly higher mean, radial, and axial diffusivity than controls. In conclusion, patients who developed PPCS had poorer white matter microstructural integrity acutely after the injury, compared with patients who recovered and healthy controls. Differences became less pronounced when cognitive reserve was controlled for, suggesting that pre-existing individual differences in axonal integrity accounted for some of the observed differences.
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Affiliation(s)
- Jonas Stenberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Neurosurgery, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Live Eikenes
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Kent Gøran Moen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Radiology, Nord-Trøndelag Hospital Trust, Levanger Hospital, Levanger, Norway
| | - Anne Vik
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Neurosurgery, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Asta K. Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Toril Skandsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Physical Medicine and Rehabilitation, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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13
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Huovinen A, Marinkovic I, Isokuortti H, Korvenoja A, Mäki K, Nybo T, Raj R, Melkas S. Traumatic Microbleeds in Mild Traumatic Brain Injury Are Not Associated with Delayed Return to Work or Persisting Post-Concussion Symptoms. J Neurotrauma 2021; 38:2400-2406. [PMID: 33847170 DOI: 10.1089/neu.2021.0055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
The main objective of this prospective cohort study was to evaluate whether traumatic microbleeds (TMBs) are a significant prognostic factor of return to work (RTW), post-traumatic symptoms, and overall recovery in patients with mild traumatic brain injury (mTBI). One hundred and thirteen patients with mTBI were recruited from the Helsinki University Hospital emergency units. All patients underwent multi-contrast 3T magnetic resonance imaging (MRI) 3-17 days after mTBI. Patients were evaluated in the Traumatic Brain Injury Outpatient Clinic of Helsinki University Hospital 1 month after injury. Post-concussion symptoms were assessed with the Post-Concussion Symptom Questionnaire (RPQ) and overall recovery was assessed with the Glasgow Outcome Scale Extended (GOS-E). Their time to RTW was continuously measured up to 1 year after TBI. Median RTW was 9 days (interquartile range [IQR] 4-30) after mTBI and full RTW rate after 1 year was 98%. Patients with TMBs (n = 22) did not have more post-concussion symptoms (median RPQ 10.0 vs. 7.0, p = 0.217) or worse overall recovery (58% vs. 56% with GOS-E = 8, p = 0.853) than patients without TMBs (n = 91). There was no significant difference in time to RTW (13.5 vs. 7.0 days, p = 0.063). In this study, patients with TMBs did not have delayed RTW or more post-concussion symptoms than other patients with mTBI. TMBs in mTBI do not seem to be a significant prognostic factor of RTW.
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Affiliation(s)
- Antti Huovinen
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Ivan Marinkovic
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Harri Isokuortti
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Antti Korvenoja
- Department of HUS Medical Imaging Center, Radiology, and Departments of University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Kaisa Mäki
- Department of Neuropsychology and University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Taina Nybo
- Department of Neuropsychology and University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Rahul Raj
- Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Susanna Melkas
- Department of Neurology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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14
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Brown SSG, Dams-O'Connor K, Watson E, Balchandani P, Feldman RE. Case Report: An MRI Traumatic Brain Injury Longitudinal Case Study at 7 Tesla: Pre- and Post-injury Structural Network and Volumetric Reorganization and Recovery. Front Neurol 2021; 12:631330. [PMID: 34079509 PMCID: PMC8165156 DOI: 10.3389/fneur.2021.631330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 04/15/2021] [Indexed: 11/13/2022] Open
Abstract
Importance: A significant limitation of many neuroimaging studies examining mild traumatic brain injury (mTBI) is the unavailability of pre-injury data. Objective: We therefore aimed to utilize pre-injury ultra-high field brain MRI and compare a collection of neuroimaging metrics pre- and post-injury to determine mTBI related changes and evaluate the enhanced sensitivity of high-resolution MRI. Design: In the present case study, we leveraged multi-modal 7 Tesla MRI data acquired at two timepoints prior to mTBI (23 and 12 months prior to injury), and at two timepoints post-injury (2 weeks and 8 months after injury) to examine how a right parietal bone impact affects gross brain structure, subcortical volumetrics, microstructural order, and connectivity. Setting: This research was carried out as a case investigation at a single primary care site. Participants: The case participant was a 38-year-old female selected for inclusion based on a mTBI where a right parietal impact was sustained. Main outcomes: The main outcome measurements of this investigation were high spatial resolution structural brain metrics including volumetric assessment and connection density of the white matter connectome. Results: At the first scan timepoint post-injury, the cortical gray matter and cerebral white matter in both hemispheres appeared to be volumetrically reduced compared to the pre-injury and subsequent post-injury scans. Connectomes produced from whole-brain diffusion-weighted probabilistic tractography showed a widespread decrease in connectivity after trauma when comparing mean post-injury and mean pre-injury connection densities. Findings of reduced fractional anisotropy in the cerebral white matter of both hemispheres at post-injury time point 1 supports reduced connection density at a microstructural level. Trauma-related alterations to whole-brain connection density were markedly reduced at the final scan timepoint, consistent with symptom resolution. Conclusions and Relevance: This case study investigates the structural effects of traumatic brain injury for the first time using pre-injury and post-injury 7 Tesla MRI longitudinal data. We report findings of initial volumetric changes, decreased structural connectivity and reduced microstructural order that appear to return to baseline 8 months post-injury, demonstrating in-depth metrics of physiological recovery. Default mode, salience, occipital, and executive function network alterations reflect patient-reported hypersomnolence, reduced cognitive processing speed and dizziness.
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Affiliation(s)
- Stephanie S G Brown
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Kristen Dams-O'Connor
- Department of Rehabilitation and Human Performance, Brain Injury Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Eric Watson
- Department of Rehabilitation and Human Performance, Brain Injury Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Priti Balchandani
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Rebecca E Feldman
- Department of Computer Science, Mathematics, Physics, and Statistics University of British Columbia, Kelowna, BC, Canada
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15
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Chong CD, Berisha V, Ross K, Kahn M, Dumkrieger G, Schwedt TJ. Distinguishing persistent post-traumatic headache from migraine: Classification based on clinical symptoms and brain structural MRI data. Cephalalgia 2021; 41:943-955. [PMID: 33926241 DOI: 10.1177/0333102421991819] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Persistent post-traumatic headache most commonly has symptoms that overlap those of migraine. In some cases, it can be clinically difficult to differentiate persistent post-traumatic headache with a migraine phenotype from migraine. The objective of this study was to develop a classification model based on questionnaire data and structural neuroimaging data that distinguishes individuals with migraine from those with persistent post-traumatic headache. METHODS Questionnaires assessing headache characteristics, sensory hypersensitivities, cognitive functioning, and mood, as well as T1-weighted magnetic resonance imaging and diffusion tensor data from 34 patients with migraine and 48 patients with persistent post-traumatic headache attributed to mild traumatic brain injury were included for analysis. The majority of patients with persistent post-traumatic headache had a migraine/probable migraine phenotype (77%). A machine-learning leave-one-out cross-validation algorithm determined the average accuracy for distinguishing individual migraine patients from individual patients with persistent post-traumatic headache. RESULTS Based on questionnaire data alone, the average classification accuracy for determining whether an individual person had migraine or persistent post-traumatic headache was 71.9%. Adding imaging data features to the model improved the classification accuracy to 78%, including an average accuracy of 97.1% for identifying individual migraine patients and an average accuracy of 64.6% for identifying individual patients with persistent post-traumatic headache. The most important clinical features that contributed to the classification accuracy included questions related to anxiety and decision making. Cortical brain features and fibertract data from the following regions or tracts most contributed to the classification accuracy: Bilateral superior temporal, inferior parietal and posterior cingulate; right lateral occipital, uncinate, and superior longitudinal fasciculus. A post-hoc analysis showed that compared to incorrectly classified persistent post-traumatic headache patients, those who were correctly classified as having persistent post-traumatic headache had more severe physical, autonomic, anxiety and depression symptoms, were more likely to have post-traumatic stress disorder, and were more likely to have had mild traumatic brain injury attributed to blasts. DISCUSSION A classification model that included a combination of questionnaire data and structural imaging parameters classified individual patients as having migraine versus persistent post-traumatic headache with good accuracy. The most important clinical measures that contributed to the classification accuracy included questions on mood. Regional brain structures and fibertracts that play roles in pain processing and pain integration were important brain features that contributed to the classification accuracy. The lower classification accuracy for patients with persistent post-traumatic headache compared to migraine may be related to greater heterogeneity of patients in the persistent post-traumatic headache cohort regarding their traumatic brain injury mechanisms, and physical, emotional, and cognitive symptoms.
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Affiliation(s)
- Catherine D Chong
- Mayo Clinic Arizona, Phoenix, Arizona, USA.,Arizona State University, Phoenix Arizona, USA
| | | | | | - Mazher Kahn
- Arizona State University, Phoenix Arizona, USA
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16
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Mahan MY, Rafter DJ, Truwit CL, Oswood M, Samadani U. Evaluation of diffusion measurements reveals radial diffusivity indicative of microstructural damage following acute, mild traumatic brain injury. Magn Reson Imaging 2020; 77:137-147. [PMID: 33359428 DOI: 10.1016/j.mri.2020.12.012] [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] [Received: 05/16/2020] [Revised: 10/25/2020] [Accepted: 12/20/2020] [Indexed: 01/07/2023]
Abstract
PURPOSE Mild TBI, characterized by microstructural damage, often undetectable on conventional imaging techniques, is a pervasive condition that disturbs brain function and can potentially result in long-term deficits. Deciphering the underlying microstructural damage in mild TBI is crucial for establishing a reliable diagnosis and enabling effective therapeutics. Efforts to capture this damage have been extensive, but results have been inconsistent and incomplete. METHODS To that effect, we set out to examine the shape of the diffusion tensor in mild TBI during the acute phase of injury. We inspected diffusivity and geometric measurements describing the diffusion tensor's shape and compared mild TBI (N = 34, 20.4-66.6 yo) measurements with those from healthy control (N = 42, 20.7-67.2 yo) participants using voxelwise tract-based spatial statistics. Subsequently, to explore associations between the diffusion measurements in mild TBI, we performed nonparametric statistics and machine learning techniques. RESULTS Overall, mild TBI displayed a diffuse increase in Dλ2, Dλ3, Dradial, Dmean, and Cspherical, with a diffuse decrease in Afractional, Amode, and Clinear, in addition to no change in Daxial or Cplanar. Most notably, our results provide evidence for Dradial as a potential biomarker for microstructural damage, specifically its main component Dλ2, based on their performance in discriminating between mild TBI and control groups. Afractional was also found to be important for discriminating between groups. CONCLUSION Our results revealed the importance of a diffusion measurement often overlooked, Dradial, in assessing TBI and suggest differentiating diffusion measurements has the potential utility to detect variations in the underlying pathophysiology after injury.
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Affiliation(s)
- Margaret Y Mahan
- Department of Biomedical Informatics and Computational Biology, University of Minnesota, 101 Pleasant St SE, Minneapolis, MN 55455, USA.
| | - Daniel J Rafter
- Department of Biomedical Informatics and Computational Biology, University of Minnesota, 101 Pleasant St SE, Minneapolis, MN 55455, USA
| | - Charles L Truwit
- Diagnostic Imaging, Philips Global, 6655 Wedgwood Rd N #105, Maple Grove, MN 55311, USA; Department of Radiology, Hennepin Healthcare, 701 Park Ave, Minneapolis, MN 55415, USA.
| | - Mark Oswood
- Department of Radiology, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN 55455, USA; Department of Radiology, Hennepin Healthcare, 701 Park Ave, Minneapolis, MN 55415, USA.
| | - Uzma Samadani
- Department of Biomedical Informatics and Computational Biology, University of Minnesota, 101 Pleasant St SE, Minneapolis, MN 55455, USA; Department of Neurosurgery, Minneapolis VA Medical Center, 1 Veterans Drive, Minneapolis, MN 55417, USA.
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17
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Young G. Thirty Complexities and Controversies in Mild Traumatic Brain Injury and Persistent Post-concussion Syndrome: a Roadmap for Research and Practice. PSYCHOLOGICAL INJURY & LAW 2020. [DOI: 10.1007/s12207-020-09395-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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18
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Abstract
This article focuses on 3 concepts that continue to be investigated in the search for the holy grail of concussion-a valid diagnostic test. Imaging advances are discussed with optimism that functional MRI and diffusion tensor imaging may be available clinically. Biomarkers and the use of genetic tests are covered. Sideline accelerometer use may help steer discussions of head trauma risk once technology exists to accurately estimate acceleration of the brain. In the meantime, strategies including allowing athletes to be substituted out of games for an evaluation and video review in elite sports can improve recognition of sports-related concussion.
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Affiliation(s)
- Hamish Kerr
- Sports Medicine, Department of Medicine, Albany Medical College, 1019 New Loudon Road, Cohoes, NY 12047, USA.
| | - Bjørn Bakken
- Department of Medicine, Albany Medical Center, 1019 New Loudon Road, Cohoes, NY 12047, USA
| | - Gregory House
- Department of Family and Community Medicine, Albany Medical Center, 391 Myrtle Avenue, Albany, NY 12208, USA
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19
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Bai L, Bai G, Wang S, Yang X, Gan S, Jia X, Yin B, Yan Z. Strategic white matter injury associated with long-term information processing speed deficits in mild traumatic brain injury. Hum Brain Mapp 2020; 41:4431-4441. [PMID: 32657510 PMCID: PMC7502829 DOI: 10.1002/hbm.25135] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 06/07/2020] [Accepted: 06/26/2020] [Indexed: 12/21/2022] Open
Abstract
Deficits in information processing speed (IPS) are among the earliest and most prominent cognitive manifestations in mild traumatic brain injury (mTBI). We investigated the impact of white matter fiber location on IPS outcome in an individual basis assessment. A total of 112 acute mild TBI with all CT negative underwent brain DTI and blood sampling for inflammation cytokines within 7 days postinjury and 72 age- and sex matched healthy controls with same assessments were enrolled. IPS outcome was assessed by the trail making test at 6-12 month postinjury in mild TBI. Fractional anisotropy (FA) features were extracted using a novel lesion-load analytical strategy to capture spatially heterogeneous white matter injuries and minimize implicit assumptions of uniform injury across diverse clinical presentations. Acute mild TBI exhibited a general pattern of increased and decreased FA in specific white matter tracts. The power of acute FA measures to identify patients developing IPS deficits with 92% accuracy and further improved to 96% accuracy by adding inflammation cytokines. The classifiers predicted individual's IPS and working memory ratings (r = .74 and .80, respectively, p < .001). The thalamo-cortical circuits and commissural tracts projecting or connecting frontal regions became important predictors. This prognostic model was also verified by an independent replicate sample. Our findings highlighted damage to frontal interhemispheric and thalamic projection fiber tracts harboring frontal-subcortical neuronal circuits as a predictor for processing speed performance in mild TBI.
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Affiliation(s)
- Lijun Bai
- Department of RadiologyThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical EngineeringSchool of Life Science and Technology, Xi' an Jiaotong UniversityXi'anChina
| | - Guanghui Bai
- Department of RadiologyThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Shan Wang
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical EngineeringSchool of Life Science and Technology, Xi' an Jiaotong UniversityXi'anChina
| | - Xuefei Yang
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical EngineeringSchool of Life Science and Technology, Xi' an Jiaotong UniversityXi'anChina
| | - Shuoqiu Gan
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical EngineeringSchool of Life Science and Technology, Xi' an Jiaotong UniversityXi'anChina
| | - Xiaoyan Jia
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical EngineeringSchool of Life Science and Technology, Xi' an Jiaotong UniversityXi'anChina
| | - Bo Yin
- Department of Neurosurgerythe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Zhihan Yan
- Department of RadiologyThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
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20
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Puig J, Ellis MJ, Kornelsen J, Figley TD, Figley CR, Daunis-i-Estadella P, Mutch WAC, Essig M. Magnetic Resonance Imaging Biomarkers of Brain Connectivity in Predicting Outcome after Mild Traumatic Brain Injury: A Systematic Review. J Neurotrauma 2020; 37:1761-1776. [DOI: 10.1089/neu.2019.6623] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
- Josep Puig
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Department of Radiology (IDI), Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr. Josep Trueta, Girona, Spain
| | - Michael J. Ellis
- Canada North Concussion Network, Winnipeg, Manitoba, Canada
- Department of Surgery and Pediatrics and Child Health, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Section of Neurosurgery, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Pan Am Concussion Program, Winnipeg, Manitoba, Canada
- Childrens Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - Jennifer Kornelsen
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
- Department of Physiology and Pathophysiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Teresa D. Figley
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
| | - Chase R. Figley
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
- Department of Physiology and Pathophysiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Pepus Daunis-i-Estadella
- Department of Computer Science, Applied Mathematics and Statistics, Universitat de Girona, Girona, Spain
| | - W. Alan C. Mutch
- Canada North Concussion Network, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
- Department of Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Marco Essig
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Canada North Concussion Network, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
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21
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Hurtubise JM, Gorbet DJ, Hynes LM, Macpherson AK, Sergio LE. White Matter Integrity and Its Relationship to Cognitive-Motor Integration in Females with and without Post-Concussion Syndrome. J Neurotrauma 2020; 37:1528-1536. [PMID: 31928154 DOI: 10.1089/neu.2019.6765] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Fifteen percent of individuals who sustain a concussion go on to develop post-concussion syndrome (PCS). These persistent symptoms are believed to be attributed to damage to white matter tracts and impaired neurotransmission. Specifically, declines in white matter integrity after concussion have been found along the long-coursing axons underlying the frontoparietal network. This network is essential for the performance of visuomotor transformation tasks requiring cognitive-motor integration (CMI). We have previously observed deficits in performance on CMI-based tasks in those who have a history of concussion, but were asymptomatic. The aim of this study was to investigate performance on a CMI task, as well as white matter integrity differences along frontoparietal-cerebellar white matter tracts, in those with PCS compared to healthy controls. We hypothesized an association between the behavioral and brain structural measures. Twenty-six female participants (13 with PCS for ≥6 months and 13 healthy controls) completed four computer-based visuomotor CMI tasks. In addition, diffusion tensor images (DTIs) were acquired. No statistically significant differences were found in CMI performance between groups (p > 0.05). Further, there were no statistically significant differences between groups on any DTI metrics (p > 0.05). However, examination of the data collapsed across participants revealed significant associations between performance on a CMI task and white matter integrity. Further investigation into additional causes of symptoms in those with PCS (including psychological and cervicogenic factors) will strengthen our understanding of this diverse group. Nonetheless, this study demonstrates that white matter integrity is related to levels of performance in tasks that require rule-based movement control.
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Affiliation(s)
- Johanna M Hurtubise
- Centre for Sport and Exercise Education, Camosun College, Victoria, British Columbia, Canada
| | - Diana J Gorbet
- School of Kinesiology and Health Science, York University, Sherman Health Science Research Centre, Toronto, Ontario, Canada.,Centre for Vision Research, York University, Sherman Health Science Research Centre, Toronto, Ontario, Canada
| | - Loriann M Hynes
- School of Kinesiology and Health Science, York University, Sherman Health Science Research Centre, Toronto, Ontario, Canada
| | - Alison K Macpherson
- School of Kinesiology and Health Science, York University, Sherman Health Science Research Centre, Toronto, Ontario, Canada
| | - Lauren E Sergio
- School of Kinesiology and Health Science, York University, Sherman Health Science Research Centre, Toronto, Ontario, Canada.,Centre for Vision Research, York University, Sherman Health Science Research Centre, Toronto, Ontario, Canada
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22
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Shapiro JS, Silk T, Takagi M, Anderson N, Clarke C, Davis GA, Dunne K, Hearps SJ, Ignjatovic V, Rausa V, Seal M, Babl FE, Anderson V. Examining Microstructural White Matter Differences between Children with Typical and Those with Delayed Recovery Two Weeks Post-Concussion. J Neurotrauma 2020; 37:1300-1305. [DOI: 10.1089/neu.2019.6768] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Jesse S. Shapiro
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia
| | - Tim Silk
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia
- School of Psychology, Deakin University, Melbourne, Victoria, Australia
| | - Michael Takagi
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia
| | - Nicholas Anderson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Cathriona Clarke
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Gavin A. Davis
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Kevin Dunne
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Victoria, Australia
- Department of Rehabilitation Medicine, Royal Children's Hospital, Melbourne, Victoria, Australia
| | | | - Vera Ignjatovic
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Victoria, Australia
| | - Vanessa Rausa
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Marc Seal
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Victoria, Australia
| | - Franz E. Babl
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Victoria, Australia
- Emergency Department, Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Vicki Anderson
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Victoria, Australia
- Psychology Service, Royal Children's Hospital, Melbourne, Victoria, Australia
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23
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Wallace EJ, Mathias JL, Ward L, Fripp J, Rose S, Pannek K. A fixel-based analysis of micro- and macro-structural changes to white matter following adult traumatic brain injury. Hum Brain Mapp 2020; 41:2187-2197. [PMID: 31999046 PMCID: PMC7268050 DOI: 10.1002/hbm.24939] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 01/08/2020] [Accepted: 01/13/2020] [Indexed: 12/13/2022] Open
Abstract
Diffusion tensor imaging is often used to assess white matter (WM) changes following traumatic brain injury (TBI), but is limited in voxels that contain multiple fibre tracts. Fixel-based analysis (FBA) addresses this limitation by using a novel method of analysing high angular resolution diffusion-weighted imaging (HARDI) data. FBA examines three aspects of each fibre tract within a voxel: tissue micro-structure (fibre density [FD]), tissue macro-structure (fibre-bundle cross section [FC]) and a combined measure of both (FD and fibre-bundle cross section [FDC]). This study used FBA to identify the location and extent of micro- and macro-structural changes in WM following TBI. A large TBI sample (Nmild = 133, Nmoderate-severe = 29) and control group (healthy and orthopaedic; N = 107) underwent magnetic resonance imaging with HARDI and completed reaction time tasks approximately 7 months after their injury (range: 98-338 days). The TBI group showed micro-structural differences (lower FD) in the corpus callosum and forceps minor, compared to controls. Subgroup analyses revealed that the mild TBI group did not differ from controls on any fixel metric, but the moderate to severe TBI group had significantly lower FD, FC and FDC in multiple WM tracts, including the corpus callosum, cerebral peduncle, internal and external capsule. The moderate to severe TBI group also had significantly slower reaction times than controls, but the mild TBI group did not. Reaction time was not related to fixel findings. Thus, the WM damage caused by moderate to severe TBI manifested as fewer axons and a reduction in the cross-sectional area of key WM tracts.
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Affiliation(s)
- Erica J. Wallace
- Faculty of Health and Medical SciencesUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Jane L. Mathias
- Faculty of Health and Medical SciencesUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Lynn Ward
- Faculty of Health and Medical SciencesUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Jurgen Fripp
- Australian E‐Health Research Centre, CSIROBrisbaneAustralia
| | - Stephen Rose
- Australian E‐Health Research Centre, CSIROBrisbaneAustralia
| | - Kerstin Pannek
- Australian E‐Health Research Centre, CSIROBrisbaneAustralia
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24
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Biagianti B, Stocchetti N, Brambilla P, Vleet TV. Brain dysfunction underlying prolonged post-concussive syndrome: A systematic review. J Affect Disord 2020; 262:71-76. [PMID: 31710931 PMCID: PMC6917917 DOI: 10.1016/j.jad.2019.10.058] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 10/04/2019] [Accepted: 10/31/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND One out of 4 patients who sustains a mild traumatic brain injury (mTBI) experiences persistent complaints, despite the absence of structural brain damage on conventional neuroimaging. Susceptibility to develop post concussive symptoms (PCS) is thought to originate from occult brain dysfunction. However, the influence of such neural changes on the development of persistent PCS is poorly characterized. METHODS In this article, we aim to integrate findings from longitudinal studies that investigated across the spectrum of neuroimaging modalities the changes within the first twelve months following a mTBI, with the goal of identifying possible predictors or biomarkers of persistent PCS. RESULTS Nine studies met inclusion criteria: 5 that used resting state functional MRI, 2 that used Diffusion Weighted Imaging, and 2 that used 1H-MR Spectroscopy. All studies indicate significant structural, functional and/or metabolic aberrations that occur in the acute and early subacute phases following a mTBI. However, in patients with persistent PCS, these mTBI-induced damages linger and relate to the severity of PCS. These biomarkers include: decreased diffusion along white matter fiber tracts, alteration of perfusion, disrupted metabolism, and reduced connectivity within several resting state networks. Additionally, in PCS patients, disruptions of brain function can manifest exclusively in the chronic phase. CONCLUSION This review support the ongoing use of neuroimaging modalities to understand the brain changes that occur throughout the time course of mTBI. Based on the complexity of mTBI, however, more work is required to characterize injury and recovery mechanisms that could impact the emergence and persistence of PCS.
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Affiliation(s)
- Bruno Biagianti
- Department of R&D, Posit Science Corporation, 160 Pine Street, Suite 200, San Francisco, CA 94111, USA; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
| | - Nino Stocchetti
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy;,Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Paolo Brambilla
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy;,Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Tom Van Vleet
- Department of R&D, Posit Science Corporation, San Francisco, CA, USA
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25
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Gozt A, Licari M, Halstrom A, Milbourn H, Lydiard S, Black A, Arendts G, Macdonald S, Song S, MacDonald E, Vlaskovsky P, Burrows S, Bynevelt M, Pestell C, Fatovich D, Fitzgerald M. Towards the Development of an Integrative, Evidence-Based Suite of Indicators for the Prediction of Outcome Following Mild Traumatic Brain Injury: Results from a Pilot Study. Brain Sci 2020; 10:brainsci10010023. [PMID: 31906443 PMCID: PMC7017246 DOI: 10.3390/brainsci10010023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 12/16/2019] [Accepted: 12/30/2019] [Indexed: 12/14/2022] Open
Abstract
Background: Persisting post-concussion symptoms (PPCS) is a complex, multifaceted condition in which individuals continue to experience the symptoms of mild traumatic brain injury (mTBI; concussion) beyond the timeframe that it typically takes to recover. Currently, there is no way of knowing which individuals may develop this condition. Method: Patients presenting to a hospital emergency department (ED) within 48 h of sustaining a mTBI underwent neuropsychological assessment and demographic, injury-related information and blood samples were collected. Concentrations of blood-based biomarkers neuron specific enolase, neurofilament protein-light, and glial fibrillary acidic protein were assessed, and a subset of patients also underwent diffusion tensor–magnetic resonance imaging; both relative to healthy controls. Individuals were classified as having PPCS if they reported a score of 25 or higher on the Rivermead Postconcussion Symptoms Questionnaire at ~28 days post-injury. Univariate exact logistic regression was performed to identify measures that may be predictive of PPCS. Neuroimaging data were examined for differences in fractional anisotropy (FA) and mean diffusivity in regions of interest. Results: Of n = 36 individuals, three (8.33%) were classified as having PPCS. Increased performance on the Repeatable Battery for the Assessment of Neuropsychological Status Update Total Score (OR = 0.81, 95% CI: 0.61–0.95, p = 0.004), Immediate Memory (OR = 0.79, 95% CI: 0.56–0.94, p = 0.001), and Attention (OR = 0.86, 95% CI: 0.71–0.97, p = 0.007) indices, as well as faster completion of the Trails Making Test B (OR = 1.06, 95% CI: 1.00–1.12, p = 0.032) at ED presentation were associated with a statistically significant decreased odds of an individual being classified as having PPCS. There was no significant association between blood-based biomarkers and PPCS in this small sample, although glial fibrillary acidic protein (GFAP) was significantly increased in individuals with mTBI relative to healthy controls. Furthermore, relative to healthy age and sex-matched controls (n = 8), individuals with mTBI (n = 14) had higher levels of FA within the left inferior frontal occipital fasciculus (t (18.06) = −3.01, p = 0.008). Conclusion: Performance on neuropsychological measures may be useful for predicting PPCS, but further investigation is required to elucidate the utility of this and other potential predictors.
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Affiliation(s)
- Aleksandra Gozt
- Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia; (A.G.); (A.B.); (C.P.)
- Perron Institute for Neurological and Translational Science, Nedlands, WA 6009, Australia
| | - Melissa Licari
- Telethon Kids Institute, West Perth, WA 6005, Australia;
| | - Alison Halstrom
- School of Biological Sciences, The University of Western Australia, Crawley, WA 6009, Australia; (A.H.); (H.M.); (S.L.)
| | - Hannah Milbourn
- School of Biological Sciences, The University of Western Australia, Crawley, WA 6009, Australia; (A.H.); (H.M.); (S.L.)
| | - Stephen Lydiard
- School of Biological Sciences, The University of Western Australia, Crawley, WA 6009, Australia; (A.H.); (H.M.); (S.L.)
| | - Anna Black
- Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia; (A.G.); (A.B.); (C.P.)
- Perron Institute for Neurological and Translational Science, Nedlands, WA 6009, Australia
| | - Glenn Arendts
- Emergency Medicine, The University of Western Australia, Crawley, WA 6009, Australia; (G.A.); (S.M.); (D.F.)
- Centre for Clinical Research in Emergency Medicine, Harry Perkins Institute of Medical Research, Nedlands, WA 6000, Australia;
| | - Stephen Macdonald
- Emergency Medicine, The University of Western Australia, Crawley, WA 6009, Australia; (G.A.); (S.M.); (D.F.)
- Centre for Clinical Research in Emergency Medicine, Harry Perkins Institute of Medical Research, Nedlands, WA 6000, Australia;
- Emergency Department, Royal Perth Hospital, Perth, WA 6000, Australia
| | - Swithin Song
- Radiology Department, Royal Perth Hospital, Perth, WA 6000, Australia;
| | - Ellen MacDonald
- Centre for Clinical Research in Emergency Medicine, Harry Perkins Institute of Medical Research, Nedlands, WA 6000, Australia;
- Emergency Department, Royal Perth Hospital, Perth, WA 6000, Australia
| | - Philip Vlaskovsky
- School of Medicine, The University of Western Australia, Crawley, WA 6009, Australia; (P.V.); (S.B.)
| | - Sally Burrows
- School of Medicine, The University of Western Australia, Crawley, WA 6009, Australia; (P.V.); (S.B.)
| | - Michael Bynevelt
- School of Surgery, The University of Western Australia, Crawley, WA 6009, Australia;
- Neurological Intervention and Imaging Service of Western Australia, Sir Charles Gardener Hospital, Nedlands, WA 6009, Australia
| | - Carmela Pestell
- Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia; (A.G.); (A.B.); (C.P.)
- School of Psychological Science, The University of Western Australia, Crawley, WA 6009, Australia
| | - Daniel Fatovich
- Emergency Medicine, The University of Western Australia, Crawley, WA 6009, Australia; (G.A.); (S.M.); (D.F.)
- Centre for Clinical Research in Emergency Medicine, Harry Perkins Institute of Medical Research, Nedlands, WA 6000, Australia;
- Emergency Department, Royal Perth Hospital, Perth, WA 6000, Australia
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia; (A.G.); (A.B.); (C.P.)
- Perron Institute for Neurological and Translational Science, Nedlands, WA 6009, Australia
- School of Biological Sciences, The University of Western Australia, Crawley, WA 6009, Australia; (A.H.); (H.M.); (S.L.)
- Correspondence: ; Tel.: +61-467-729-300
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Longitudinal structural connectomic and rich-club analysis in adolescent mTBI reveals persistent, distributed brain alterations acutely through to one year post-injury. Sci Rep 2019; 9:18833. [PMID: 31827105 PMCID: PMC6906376 DOI: 10.1038/s41598-019-54950-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 11/20/2019] [Indexed: 12/28/2022] Open
Abstract
The diffuse nature of mild traumatic brain injury (mTBI) impacts brain white-matter pathways with potentially long-term consequences, even after initial symptoms have resolved. To understand post-mTBI recovery in adolescents, longitudinal studies are needed to determine the interplay between highly individualised recovery trajectories and ongoing development. To capture the distributed nature of mTBI and recovery, we employ connectomes to probe the brain’s structural organisation. We present a diffusion MRI study on adolescent mTBI subjects scanned one day, two weeks and one year after injury with controls. Longitudinal global network changes over time suggests an altered and more ‘diffuse’ network topology post-injury (specifically lower transitivity and global efficiency). Stratifying the connectome by its back-bone, known as the ‘rich-club’, these network changes were driven by the ‘peripheral’ local subnetwork by way of increased network density, fractional anisotropy and decreased diffusivities. This increased structural integrity of the local subnetwork may be to compensate for an injured network, or it may be robust to mTBI and is exhibiting a normal developmental trend. The rich-club also revealed lower diffusivities over time with controls, potentially indicative of longer-term structural ramifications. Our results show evolving, diffuse alterations in adolescent mTBI connectomes beginning acutely and continuing to one year.
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Yousefzadeh-Chabok S, Kapourchali FR, Ramezani S. Determinants of long-term health-related quality of life in adult patients with mild traumatic brain injury. Eur J Trauma Emerg Surg 2019; 47:839-846. [DOI: 10.1007/s00068-019-01252-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 10/22/2019] [Indexed: 10/25/2022]
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Schwedt TJ. Structural and Functional Brain Alterations in Post-traumatic Headache Attributed to Mild Traumatic Brain Injury: A Narrative Review. Front Neurol 2019; 10:615. [PMID: 31258507 PMCID: PMC6587675 DOI: 10.3389/fneur.2019.00615] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 05/24/2019] [Indexed: 12/28/2022] Open
Abstract
Introduction: By definition, post-traumatic headache (PTH) attributed to mild traumatic brain injury (mTBI) is not associated with brain structural abnormalities that are seen on routine clinical inspection of brain images. However, subtle brain structural abnormalities, as well as functional abnormalities, detected via research imaging techniques yield insights into the pathophysiology of PTH. The objective of this manuscript is to summarize published findings regarding research imaging of the brain in PTH attributed to mTBI. Methods:For this narrative review, PubMed was searched using the terms “post-traumatic headache” or “post-concussion headache” and “imaging” or “magnetic resonance imaging” or “research imaging” or “positron emission tomography”. Articles were chosen for inclusion based on their relevance to the topic. Results: Ten articles were ultimately included within this review. The studies investigated white matter tract integrity and functional connectivity in acute PTH, structural measures, white matter tract integrity, cerebral blood flow, and functional connectivity in persistent PTH (PPTH), and proton spectroscopy in both acute and persistent PTH. The articles demonstrate that acute and persistent PTH are associated with abnormalities in brain structure, that acute and persistent PTH are also associated with abnormalities in brain function, that it might be possible to predict the persistence of PTH using brain imaging findings, and that there are differences in imaging findings when comparing PTH to healthy controls and when comparing PTH to migraine. Although it is not entirely clear if the imaging findings are directly attributable to PTH as opposed to the underlying TBI or other post-TBI symptoms, correlations between the imaging findings with headache frequency and headache resolution suggest a true relationship between the imaging findings and PTH. Conclusions: PTH attributed to mTBI is associated with abnormalities in brain structure and function that can be detected via research imaging. Additional studies are needed to determine the specificity of the findings for PTH, to differentiate findings attributed to PTH from those attributed to the underlying TBI and coexistent post-TBI symptoms, and to determine the accuracy of imaging findings for predicting the development of PPTH.
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Affiliation(s)
- Todd J Schwedt
- Department of Neurology, Mayo Clinic, Scottsdale, AZ, United States
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Yin B, Li DD, Huang H, Gu CH, Bai GH, Hu LX, Zhuang JF, Zhang M. Longitudinal Changes in Diffusion Tensor Imaging Following Mild Traumatic Brain Injury and Correlation With Outcome. Front Neural Circuits 2019; 13:28. [PMID: 31133818 PMCID: PMC6514143 DOI: 10.3389/fncir.2019.00028] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 04/01/2019] [Indexed: 11/13/2022] Open
Abstract
The chronic consequences of traumatic brain injury (TBI) may contribute to the increased risk for early cognitive decline and dementia, primarily due to diffusion axonal injury. Previous studies in mild TBI (mTBI) have been controversial in describing the white matter tract integrity changes occurring at acute and subacute post-injury. In this prospective longitudinal study, we aim to investigate the longitudinal changes of white matter (WM) using diffusion tensor imaging (DTI) and their correlations with neuropsychological tests. Thirty-three patients with subacute mTBI and 31 matched healthy controls were studied with an extensive imaging and clinical battery. Neuroimaging was obtained within 7 days post-injury for acute scans and repeated at 1 and 3 months post-injury. Using a region-of-interest-based approach, tract-based spatial statistics was used to conduct voxel-wise analysis on diffusion changes in mTBI and was compared to those of healthy matched controls, scanned during the same time period and rescanned with an interval similar to that of patients. We found decreased fractional anisotropy (FA) values in the left anterior limb of internal capsule (ALIC) and right inferior fronto-occipital fasciculus (IFOF) during the 7 days post-injury, which showed longitudinal evidence of recovery following 1 month post-injury. Increased FA values in these two tracts at 1 month post-injury were positively associated with better performance on cognitive information processing speed at initial assessment. By contrast, there were also some tracts (right anterior corona radiata, forceps major, and body of corpus callosum) exhibiting the continuing loss of integrity sustaining even beyond 3 months, which can predict the persisting post-concussion syndromes. Continuing loss of structural integrity in some tracts may contribute to the persistent post-concussion syndromes in mTBI patients, suggesting certain tracts providing an objective biomarker for tracking the pathological recovery process following mTBI.
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Affiliation(s)
- Bo Yin
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Department of Neurosurgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Dan-Dong Li
- Department of Neurosurgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Huan Huang
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Cheng-Hui Gu
- Department of Neurosurgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Guang-Hui Bai
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Liu-Xun Hu
- Department of Neurosurgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jin-Fei Zhuang
- Department of Rehabilitation Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ming Zhang
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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Wallace EJ, Mathias JL, Ward L. Diffusion tensor imaging changes following mild, moderate and severe adult traumatic brain injury: a meta-analysis. Brain Imaging Behav 2019; 12:1607-1621. [PMID: 29383621 DOI: 10.1007/s11682-018-9823-2] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Diffusion tensor imaging quantifies the asymmetry (fractional anisotropy; FA) and amount of water diffusion (mean diffusivity/apparent diffusion coefficient; MD/ADC) and has been used to assess white matter damage following traumatic brain injury (TBI). In healthy brains, diffusion is constrained by the organization of axons, resulting in high FA and low MD/ADC. Following a TBI, diffusion may be altered; however the exact nature of these changes has yet to be determined. A meta-analysis was therefore conducted to determine the location and extent of changes in DTI following adult TBI. The data from 44 studies that compared the FA and/or MD/ADC data from TBI and Control participants in different regions of interest (ROIs) were analyzed. The impact of injury severity, post-injury interval (acute: ≤ 1 week, subacute: 1 week-3 months, chronic: > 3 months), scanner details and acquisition parameters were investigated in subgroup analyses, with the findings indicating that mild TBI should be examined separately to that of moderate to severe injuries. Lower FA values were found in 88% of brain regions following mild TBI and 92% following moderate-severe TBI, compared to Controls. MD/ADC was higher in 95% and 100% of brain regions following mild and moderate-severe TBI, respectively. Moderate to severe TBI resulted in larger changes in FA and MD/ADC than mild TBI. Overall, changes to FA and MD/ADC were widespread, reflecting more symmetric and a higher amount of diffusion, indicative of white matter damage.
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Affiliation(s)
- Erica J Wallace
- School of Psychology, Faculty of Medical & Health Sciences, University of Adelaide, Adelaide, Australia
| | - Jane L Mathias
- School of Psychology, Faculty of Medical & Health Sciences, University of Adelaide, Adelaide, Australia.
| | - Lynn Ward
- School of Psychology, Faculty of Medical & Health Sciences, University of Adelaide, Adelaide, Australia
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Chong CD, Peplinski J, Berisha V, Ross K, Schwedt TJ. Differences in fibertract profiles between patients with migraine and those with persistent post-traumatic headache. Cephalalgia 2019; 39:1121-1133. [DOI: 10.1177/0333102418815650] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Objectives Often, persistent post-traumatic headache and migraine are phenotypically similar. However, the similarities and differences in the neuropathological underpinnings of persistent post-traumatic headache and migraine require further understanding. We used diffusion tensor imaging (DTI) and a novel method for detecting subtle changes in fibertract integrity by measuring node-by-node parameters along each tract to compare fibertract profiles between those with migraine and those with persistent post-traumatic headache, and compared both cohorts to a group of controls. Methods Eighteen fibertracts were reconstructed for 131 subjects, including 49 patients with persistent post-traumatic headache attributed to mild traumatic brain injury, 41 with migraine, and 41 controls. Node-by-node diffusion parameters of mean diffusivity and radial diffusivity were calculated along each tract. Mean diffusivity and radial diffusivity measurements were averaged along quartiles of each tract for statistical interpretation and group comparison. Using a post-hoc analysis, correlations between tract quartile measurements and headache frequency were calculated. Results There were significant differences between migraine and persistent post-traumatic headache cohorts for quartile measurements of mean diffusivity or radial diffusivity in the bilateral anterior thalamic radiations, cingulum (angular bundles and cingulate gyri), inferior longitudinal fasciculi, and uncinate fasciculi, the left corticospinal tract, and the right superior longitudinal fasciculi-parietal portion. For migraine patients, there was a significant positive correlation between headache frequency and forceps major mean diffusivity, whereas for persistent post-traumatic headache there was a positive correlation between headache frequency and cingulum angular bundle mean diffusivity and radial diffusivity. Conclusions Quartile measurements of radial diffusivity and mean diffusivity indicate unique differences in fibertract profiles between those with migraine vs. persistent post-traumatic headache. Although for both migraine and persistent post-traumatic headache there was a positive relationship between fibertract alterations and headache frequency, there were disease-specific differences between headache frequency and fibertract injury patterns. These findings might suggest potential differences in the neuropathological mechanisms underlying migraine and persistent post-traumatic headache.
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Affiliation(s)
| | - Jacob Peplinski
- School of Electrical, Computer and Energy Engineering and Department of Speech and Hearing Science, Arizona State University, Phoenix, AZ, USA
| | - Visar Berisha
- School of Electrical, Computer and Energy Engineering and Department of Speech and Hearing Science, Arizona State University, Phoenix, AZ, USA
| | - Katherine Ross
- Phoenix VA Health Care System, Audiology and Speech Pathology Service, Phoenix, AZ, USA
| | - Todd J Schwedt
- Mayo Clinic Department of Neurology, Mayo Clinic, Phoenix, AZ, USA
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Lange RT, Yeh PH, Brickell TA, Lippa SM, French LM. Postconcussion symptom reporting is not associated with diffusion tensor imaging findings in the subacute to chronic phase of recovery in military service members following mild traumatic brain injury. J Clin Exp Neuropsychol 2019; 41:497-511. [PMID: 30871410 DOI: 10.1080/13803395.2019.1585518] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
INTRODUCTION The purpose of this study was to examine the relation between white matter integrity of the brain and postconcussion symptom reporting following mild traumatic brain injury (MTBI). METHOD Participants were 109 U.S. military service members (91.7% male) who had sustained a MTBI (n = 88) or orthopedic injury without TBI (trauma controls, TC, n = 21), enrolled from the Walter Reed National Military Medical Center, Bethesda, Maryland. Participants completed a battery of neurobehavioral symptom measures and underwent diffusion tensor imaging (DTI; General Electric 3T) of the whole brain, on average 44.9 months post injury (SD = 42.3). Measures of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were generated for 18 regions of interest (ROIs). Participants in the MTBI group were divided into two subgroups based on International Classification of Diseases-10th Revision (ICD-10) Category C criteria for postconcussion syndrome (PCS): PCS-present (n = 41) and PCS-absent (n = 47). RESULTS The PCS-present group had significantly worse scores on all 13 neurobehavioral measures than the PCS-absent group (p < .001, d = 0.87-2.50) and TC group (p < .003, d = 0.84-2.06). For all ROIs, there were no significant main effects across the three groups for FA, MD, AD, and RD (all ps >.03). Pairwise comparisons revealed no significant differences for all ROIs when using FA and RD, and only two significant pairwise differences were found between PCS-present and PCS-absent groups when using MD and AD [i.e., anterior thalamic radiation and cingulate gyrus (supracallosal) bundle]. CONCLUSIONS Consistent with past research, but not all studies, postconcussion symptom reporting was not associated with white matter integrity in the subacute to chronic phase of recovery following MTBI.
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Affiliation(s)
- Rael T Lange
- a Defense and Veterans Brain Injury Center , Walter Reed National Military Medical Center , Bethesda , MD , USA.,b National Intrepid Center of Excellence , Walter Reed National Military Medical Center , Bethesda , MD , USA.,c Department of Psychiatry , University of British Columbia , Vancouver , BC , Canada
| | - Ping-Hong Yeh
- b National Intrepid Center of Excellence , Walter Reed National Military Medical Center , Bethesda , MD , USA
| | - Tracey A Brickell
- a Defense and Veterans Brain Injury Center , Walter Reed National Military Medical Center , Bethesda , MD , USA.,b National Intrepid Center of Excellence , Walter Reed National Military Medical Center , Bethesda , MD , USA.,d Department of Psychiatry , Uniformed Services University of the Health Sciences , Bethesda , MD , USA
| | - Sara M Lippa
- a Defense and Veterans Brain Injury Center , Walter Reed National Military Medical Center , Bethesda , MD , USA.,b National Intrepid Center of Excellence , Walter Reed National Military Medical Center , Bethesda , MD , USA
| | - Louis M French
- a Defense and Veterans Brain Injury Center , Walter Reed National Military Medical Center , Bethesda , MD , USA.,b National Intrepid Center of Excellence , Walter Reed National Military Medical Center , Bethesda , MD , USA.,d Department of Psychiatry , Uniformed Services University of the Health Sciences , Bethesda , MD , USA
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Hunter LE, Lubin N, Glassman NR, Xue X, Spira M, Lipton ML. Comparing Region of Interest versus Voxel-Wise Diffusion Tensor Imaging Analytic Methods in Mild and Moderate Traumatic Brain Injury: A Systematic Review and Meta-Analysis. J Neurotrauma 2018; 36:1222-1230. [PMID: 30375271 DOI: 10.1089/neu.2018.5838] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Diffusion tensor imaging is a magnetic resonance imaging technique that is uniquely capable of detecting microstructural tissue damage in mild and moderate traumatic brain injuries (TBIs). To date, it remains unknown if two common analytic techniques, region of interest (ROI) versus voxel-wise (VW) analyses, detect injury in similar locations. The purpose of this systematic review and meta-analysis was to directly compare the regions of abnormality elucidated by each method. Twenty-seven ROI and 11 VW studies met our inclusion criteria. Our ROI meta-analysis identified 11 regions, including the splenium of the corpus callosum, where fractional anisotropy (FA) was significantly decreased in TBI patients, compared with controls. Likewise, we identified higher mean diffusivity/apparent diffusivity constant in the genu, body, and splenium of the corpus callosum. Alternatively, our VW analysis identified one region of high FA in the right superior longitudinal fasciculus and seven regions of low FA, with the two largest located in the corpus callosum. High mean diffusivity and high radial diffusivity, both in the right inferior longitudinal fasciculus, also was revealed by our VW analysis. Moreover, we have shown that the magnitude of damage in the corpus callosum revealed by ROI analysis (z = -3.15) is greater than that demonstrated by VW analysis (z = -1.41). Overall, this study indicates that both ROI and VW analytic methods are sensitive to low FA in the corpus callosum; however, the ROI method has more power to detect the full extent of tissue abnormality in the corpus callosum. More research utilizing standardized methods and reporting is essential to fully characterize the extent to which ROI and VW analyses can concordantly detect other locations of pathology in mild and moderate TBI patients.
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Affiliation(s)
- Liane E Hunter
- 1 Gruss Magnetic Resonance Imaging Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York
| | - Naomi Lubin
- 1 Gruss Magnetic Resonance Imaging Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York
| | - Nancy R Glassman
- 2 Samuel Gottesman Library, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York
| | - Xiaonan Xue
- 3 Department of Epidemiology and Population Health, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York
| | - Moshe Spira
- 1 Gruss Magnetic Resonance Imaging Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York
| | - Michael L Lipton
- 1 Gruss Magnetic Resonance Imaging Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.,4 Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.,5 Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.,6 Department of Neurology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.,7 Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York
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Cubon VA, Murugavel M, Holmes KW, Dettwiler A. Preliminary evidence from a prospective DTI study suggests a posterior-to-anterior pattern of recovery in college athletes with sports-related concussion. Brain Behav 2018; 8:e01165. [PMID: 30566282 PMCID: PMC6305925 DOI: 10.1002/brb3.1165] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 09/04/2018] [Accepted: 10/24/2018] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES We compared the integrity of white matter (WM) microstructure to the course of recovery in athletes who sustained one sports-related concussion (SRC), assessing individual longitudinal changes in WM fiber tracts following SRC using pre- and post-injury measurements. MATERIALS AND METHODS Baseline diffusion tensor imaging (DTI) scans and neuropsychological tests were collected on 53 varsity contact-sport college athletes. Participants (n = 13) who subsequently sustained an SRC underwent DTI scans and neuropsychological testing at 2 days, 2 weeks, and 2 months following injury. RESULTS Relying on tract-based spatial statistics (TBSS) analyses, we found that radial diffusivity (RD) and mean diffusivity (MD) were significantly increased at 2 days post-injury compared to the same-subject baseline (corrected p < 0.02). These alterations were visible in anterior/posterior WM regions spanning both hemispheres, demonstrating a diffuse pattern of injury after concussion. Implicated WM fiber tracts at 2 days include the following: right superior/inferior longitudinal fasciculus; right/left inferior fronto-occipital fasciculus; right corticospinal tract; right acoustic radiation; right/left anterior thalamic radiations; right/left uncinate fasciculus; and forceps major/minor. At 2 weeks post-injury, persistently elevated RD and MD were observed solely in prefrontal portions of WM fiber tracts (using same-subject contrasts). No significant differences were found for FA in any of the post-injury comparisons to baseline. Plots of individual subject RD and MD in prefrontal WM demonstrated homogenous increases from baseline to just after SRC; thereafter, trajectories became more variable. Most subjects' diffusivity values remained elevated at 2 months post-injury relative to their own baseline. Over the 2-month period after SRC, recovery of WM fiber tracts appeared to follow a posterior-to-anterior trend, paralleling the posterior-anterior pattern of WM maturation previously identified in the normal population. CONCLUSION These results suggest greater vulnerability of prefrontal regions to SRC, underline the importance of an individualized approach to concussion management, and show promise for using RD and MD for imaging-based diagnosis of SRC.
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Affiliation(s)
- Valerie A Cubon
- Department of Chemistry and Biochemistry, Kent State University at Trumbull, Warren, Ohio
| | - Murali Murugavel
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey
| | - Katharine W Holmes
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey
| | - Annegret Dettwiler
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey
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Klimova A, Korgaonkar MS, Whitford T, Bryant RA. Diffusion Tensor Imaging Analysis of Mild Traumatic Brain Injury and Posttraumatic Stress Disorder. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 4:81-90. [PMID: 30616750 DOI: 10.1016/j.bpsc.2018.10.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Revised: 09/13/2018] [Accepted: 09/13/2018] [Indexed: 12/28/2022]
Abstract
BACKGROUND Debate exists over the extent to which dysfunctions arising from mild traumatic brain injury (mTBI) are distinct from posttraumatic stress disorder (PTSD). METHODS This study investigated 1) the white matter integrity of participants with either mTBI or PTSD, and 2) the relationship between white matter integrity and postconcussive syndrome. The sample comprised 110 civilians (mTBI group = 40; PTSD group = 32; age- and sex-matched trauma-exposed control subjects = 38) recruited from community advertising. Indicators of white matter abnormalities were fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity. PTSD symptoms were indexed by the Clinician-Administered PTSD Scale, and postconcussive symptoms were assessed using the Somatic and Psychological Health Report measure. RESULTS Fractional anisotropy was reduced in mTBI participants in the corpus callosum, tracts of the brainstem, projection fibers, association fibers, and limbic fibers compared with both PTSD and trauma-exposed control subjects. This decrease in fractional anisotropy was observed in the context of concurrent changes in radial diffusivity, axial diffusivity, and mean diffusivity. Postconcussive symptoms were largely explained by PTSD severity rather than by changes in brain white matter. mTBI appears to be characterized by distinct reductions in white matter integrity, and this cannot be attributed to PTSD. CONCLUSIONS PTSD symptoms appear to be more strongly associated with postconcussive syndrome than with white matter compromise. These findings extend epidemiological evidence of the relative associations of PTSD and mTBI with postconcussive syndrome.
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Affiliation(s)
- Aleksandra Klimova
- School of Psychology, University of New South Wales, Sydney, Australia; Brain Dynamics Centre, Westmead Institute for Medical Research, Westmead, Australia
| | | | - Thomas Whitford
- School of Psychology, University of New South Wales, Sydney, Australia
| | - Richard A Bryant
- School of Psychology, University of New South Wales, Sydney, Australia; Brain Dynamics Centre, Westmead Institute for Medical Research, Westmead, Australia.
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Raikes AC, Bajaj S, Dailey NS, Smith RS, Alkozei A, Satterfield BC, Killgore WDS. Diffusion Tensor Imaging (DTI) Correlates of Self-Reported Sleep Quality and Depression Following Mild Traumatic Brain Injury. Front Neurol 2018; 9:468. [PMID: 29973910 PMCID: PMC6019466 DOI: 10.3389/fneur.2018.00468] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 05/31/2018] [Indexed: 12/12/2022] Open
Abstract
Background: Mild traumatic brain injuries (mTBIs) are a significant social, sport, and military health issue. In spite of advances in the clinical management of these injuries, the underlying pathophysiology is not well-understood. There is a critical need to advance objective biomarkers, allowing the identification and tracking of the long-term evolution of changes resulting from mTBI. Diffusion-weighted imaging (DWI) allows for the assessment of white-matter properties in the brain and shows promise as a suitable biomarker of mTBI pathophysiology. Methods: 34 individuals within a year of an mTBI (age: 24.4 ± 7.4) and 18 individuals with no history of mTBI (age: 23.2 ± 3.4) participated in this study. Participants completed self-report measures related to functional outcomes, psychological health, post-injury symptoms, and sleep, and underwent a neuroimaging session that included DWI. Whole-brain white matter was skeletonized using tract-based spatial statistics (TBSS) and compared between groups as well as correlated within-group with the self-report measures. Results: There were no statistically significant anatomical differences between the two groups. After controlling for time since injury, fractional anisotropy (FA) demonstrated a negative correlation with sleep quality scores (higher FA was associated with better sleep quality) and increasing depressive symptoms in the mTBI participants. Conversely, mean (MD) and radial diffusivity (RD) demonstrated positive correlations with sleep quality scores (higher RD was associated with worse sleep quality) and increasing depressive symptoms. These correlations were observed bilaterally in the internal capsule (anterior and posterior limbs), corona radiata (anterior and superior), fornix, and superior fronto-occipital fasciculi. Conclusion: The results of this study indicate that the clinical presentation of mTBI, particularly with respect to depression and sleep, is associated with reduced white-matter integrity in multiple areas of the brain, even after controlling for time since injury. These areas are generally associated not only with sleep and emotion regulation but also cognition. Consequently, the onset of depression and sleep dysfunction as well as cognitive impairments following mTBI may be closely related to each other and to white-matter integrity throughout the brain.
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Affiliation(s)
- Adam C Raikes
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Sahil Bajaj
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Natalie S Dailey
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Ryan S Smith
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Anna Alkozei
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Brieann C Satterfield
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - William D S Killgore
- Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
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Coyle HL, Ponsford J, Hoy KE. Understanding individual variability in symptoms and recovery following mTBI: A role for TMS-EEG? Neurosci Biobehav Rev 2018; 92:140-149. [PMID: 29885426 DOI: 10.1016/j.neubiorev.2018.05.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 05/15/2018] [Accepted: 05/25/2018] [Indexed: 10/14/2022]
Abstract
The pathophysiology associated with mild traumatic brain injury (mTBI) includes neurometabolic and cytoskeletal changes that have been shown to impair structural and functional connectivity. Evidence that persistent neuropsychological impairments post injury are linked to structural and functional connectivity changes is increasing. However, to date the relationship between connectivity changes, heterogeneity of persistent symptoms and recovery post mTBI has been poorly characterised. Recent innovations in neuroimaging provide new ways of exploring connectivity changes post mTBI. Namely, combined transcranial magnetic stimulation and electroencephalography (TMS-EEG) offers several advantages over traditional approaches for studying connectivity changes post TBI. Its ability to perturb neural function in a controlled manner allows for measurement of causal interactions or effective connectivity between brain regions. We review the current literature assessing structural and functional connectivity following mTBI and outline the rationale for the use of TMS-EEG as an ideal tool for investigating the neural substrates of connectivity dysfunction and reorganisation post mTBI. The diagnostic, prognostic and potential therapeutic implications will also be explored.
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Affiliation(s)
- Hannah L Coyle
- Monash Alfred Psychiatry Research Centre, The Alfred and Monash University, Central Clinical School, Melbourne, Australia.
| | - Jennie Ponsford
- School of Psychological Sciences, Monash University, Clayton, Australia
| | - Kate E Hoy
- Monash Alfred Psychiatry Research Centre, The Alfred and Monash University, Central Clinical School, Melbourne, Australia
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Taghdiri F, Chung J, Irwin S, Multani N, Tarazi A, Ebraheem A, Khodadadi M, Goswami R, Wennberg R, Mikulis D, Green R, Davis K, Tator C, Eizenman M, Tartaglia MC. Decreased Number of Self-Paced Saccades in Post-Concussion Syndrome Associated with Higher Symptom Burden and Reduced White Matter Integrity. J Neurotrauma 2018; 35:719-729. [DOI: 10.1089/neu.2017.5274] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Affiliation(s)
- Foad Taghdiri
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Jonathan Chung
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Samantha Irwin
- Department of Neurology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Namita Multani
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Apameh Tarazi
- Division of Neurology, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
| | - Ahmed Ebraheem
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
| | - Mozghan Khodadadi
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
| | - Ruma Goswami
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Richard Wennberg
- Division of Neurology, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
| | - David Mikulis
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Division of Neuroradiology, Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada
| | - Robin Green
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Department of Rehabilitation Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Karen Davis
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Charles Tator
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
- Division of Neurosurgery, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
| | - Moshe Eizenman
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada
- Department of Ophthalmology, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
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39
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Chong CD, Schwedt TJ. Research Imaging of Brain Structure and Function After Concussion. Headache 2018; 58:827-835. [DOI: 10.1111/head.13269] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 12/13/2017] [Accepted: 12/20/2017] [Indexed: 11/30/2022]
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Caplain S, Blancho S, Marque S, Montreuil M, Aghakhani N. Early Detection of Poor Outcome after Mild Traumatic Brain Injury: Predictive Factors Using a Multidimensional Approach a Pilot Study. Front Neurol 2017; 8:666. [PMID: 29312112 PMCID: PMC5732974 DOI: 10.3389/fneur.2017.00666] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 11/27/2017] [Indexed: 11/23/2022] Open
Abstract
Mild traumatic brain injury (MTBI) is a common condition within the general population, usually with good clinical outcome. However, in 10-25% of cases, a post-concussive syndrome (PCS) occurs. Identifying early prognostic factors for the development of PCS can ensure widespread clinical and economic benefits. The aim of this study was to demonstrate the potential value of a comprehensive neuropsychological evaluation to identify early prognostic factors following MTBI. We performed a multi-center open, prospective, longitudinal study that included 72 MTBI patients and 42 healthy volunteers matched for age, gender, and socioeconomic status. MTBI patients were evaluated 8-21 days after injury, and 6 months thereafter, with a full neurological and psychological examination and brain MRI. At 6 months follow-up, MTBI patients were categorized into two subgroups according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) as having either favorable or unfavorable evolution (UE), corresponding to the presence of major or mild neurocognitive disorder due to traumatic brain injury. Univariate and multivariate logistical regression analysis demonstrated the importance of patient complaints, quality of life, and cognition in the outcome of MTBI patients, but only 6/23 UE patients were detected early via the multivariate logistic regression model. Using several variables from each of these three categories of variables, we built a model that assigns a score to each patient presuming the possibility of UE. Statistical analyses showed this last model to be reliable and sensitive, allowing early identification of patients at risk of developing PCS with 95.7% sensitivity and 77.6% specificity.
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Affiliation(s)
- Sophie Caplain
- Laboratory of Psychopathology and Neuropsychology, University Paris 8, Saint-Denis, France
| | - Sophie Blancho
- Institut pour la Recherche sur la Moelle Epinière et l’Encéphale, Paris, France
| | | | - Michèle Montreuil
- Laboratory of Psychopathology and Neuropsychology, University Paris 8, Saint-Denis, France
| | - Nozar Aghakhani
- Department of Neurosurgery, Bicêtre University Hospital, Assistance Publique Hôpitaux de Paris, Le Kremlin-Bicêtre, France
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Dall'Acqua P, Johannes S, Mica L, Simmen HP, Glaab R, Fandino J, Schwendinger M, Meier C, Ulbrich EJ, Müller A, Baetschmann H, Jäncke L, Hänggi J. Functional and Structural Network Recovery after Mild Traumatic Brain Injury: A 1-Year Longitudinal Study. Front Hum Neurosci 2017; 11:280. [PMID: 28611614 PMCID: PMC5447750 DOI: 10.3389/fnhum.2017.00280] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 05/15/2017] [Indexed: 01/17/2023] Open
Abstract
Brain connectivity after mild traumatic brain injury (mTBI) has not been investigated longitudinally with respect to both functional and structural networks together within the same patients, crucial to capture the multifaceted neuropathology of the injury and to comprehensively monitor the course of recovery and compensatory reorganizations at macro-level. We performed a prospective study with 49 mTBI patients at an average of 5 days and 1 year post-injury and 49 healthy controls. Neuropsychological assessments as well as resting-state functional and diffusion-weighted magnetic resonance imaging were obtained. Functional and structural connectome analyses were performed using network-based statistics. They included a cross-sectional group comparison and a longitudinal analysis with the factors group and time. The latter tracked the subnetworks altered at the early phase and, in addition, included a whole-brain group × time interaction analysis. Finally, we explored associations between the evolution of connectivity and changes in cognitive performance. The early phase of mTBI was characterized by a functional hypoconnectivity in a subnetwork with a large overlap of regions involved within the classical default mode network. In addition, structural hyperconnectivity in a subnetwork including central hub areas such as the cingulate cortex was found. The impaired functional and structural subnetworks were strongly correlated and revealed a large anatomical overlap. One year after trauma and compared to healthy controls we observed a partial normalization of both subnetworks along with a considerable compensation of functional and structural connectivity subsequent to the acute phase. Connectivity changes over time were correlated with improvements in working memory, divided attention, and verbal recall. Neuroplasticity-induced recovery or compensatory processes following mTBI differ between brain regions with respect to their time course and are not fully completed 1 year after trauma.
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Affiliation(s)
- Patrizia Dall'Acqua
- Bellikon Rehabilitation ClinicBellikon, Switzerland.,Division Neuropsychology, Department of Psychology, University of ZurichZurich, Switzerland
| | | | - Ladislav Mica
- Division of Trauma Surgery, University Hospital ZurichZurich, Switzerland
| | - Hans-Peter Simmen
- Division of Trauma Surgery, University Hospital ZurichZurich, Switzerland
| | - Richard Glaab
- Department of Surgery, Division of Traumatology, Kantonsspital AarauAarau, Switzerland
| | - Javier Fandino
- Department of Neurosurgery, Kantonsspital AarauAarau, Switzerland
| | - Markus Schwendinger
- Interdisciplinary Emergency Centre, Baden Cantonal HospitalBaden, Switzerland
| | - Christoph Meier
- Department of Surgery, Waid Hospital ZurichZurich, Switzerland
| | - Erika J Ulbrich
- Institute of Diagnostic and Interventional Radiology, University Hospital ZurichZurich, Switzerland
| | | | - Hansruedi Baetschmann
- Division Neuropsychology, Department of Psychology, University of ZurichZurich, Switzerland
| | - Lutz Jäncke
- Division Neuropsychology, Department of Psychology, University of ZurichZurich, Switzerland.,International Normal Aging and Plasticity Imaging Center, University of ZurichZurich, Switzerland.,University Research Priority Program, Dynamic of Healthy Aging, University of ZurichZurich, Switzerland
| | - Jürgen Hänggi
- Division Neuropsychology, Department of Psychology, University of ZurichZurich, Switzerland
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42
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Shinoda J, Asano Y. Disorder of Executive Function of the Brain after Head Injury and Mild Traumatic Brain Injury - Neuroimaging and Diagnostic Criteria for Implementation of Administrative Support in Japan. Neurol Med Chir (Tokyo) 2017; 57:199-209. [PMID: 28381654 PMCID: PMC5447811 DOI: 10.2176/nmc.ra.2016-0293] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The diagnotic criteria for disorder of the executive function of the brain (DEFB) as a syndrome of sequela were administratively established (ad-DEFB) in Japan in 2006 to support disabled patients whose impairment, limited to cognition (memory, attention, execution, and behavior), emerges after organic brain injuries regardless of physical deficits. However, some patients suffering from traumatic brain injury (TBI) have been excluded from receiving medico-social services. In particular, this tendency is more prominent in patients with mild TBI because no lesions are apparent on conventional computed tomography (CT) or magnetic resonance imaging (MRI) in the chronic phase. Recent development of new MRI neuroimaging modalities and positron emission tomography (PET) imaging makes it possible to detect regions of minute organic lesions and metabolic dysfunction in the brain where organic lesions may be absent or cannot be detected on conventional CT or MRI. In this review, we discuss diagnostic criteria for mild TBI and ad-DEFB, the relationship between the two disorders, characteristic neuroimaging [(MRI and 18F-fluorodeoxyglucose-positron emission tomography (FDG-PET)] of diffuse brain injury including cerebral concussion, which is the principal cause of mild TBI, and suggested pathological mechanisms of ad-DEFB in DBI.
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Affiliation(s)
- Jun Shinoda
- Chubu Medical Center for Prolonged Traumatic Brain Dysfunction, Kizawa Memorial Hospital.,Department of Clinical Brain Sciences, Gifu University Graduate School of Medicine
| | - Yoshitaka Asano
- Chubu Medical Center for Prolonged Traumatic Brain Dysfunction, Kizawa Memorial Hospital.,Department of Clinical Brain Sciences, Gifu University Graduate School of Medicine
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43
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Narayana PA. White matter changes in patients with mild traumatic brain injury: MRI perspective. Concussion 2017; 2:CNC35. [PMID: 30202576 PMCID: PMC6093760 DOI: 10.2217/cnc-2016-0028] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2016] [Accepted: 02/10/2017] [Indexed: 12/20/2022] Open
Abstract
This review focuses on white matter (WM) changes in mild traumatic brain injury (mTBI) as assessed by multimodal MRI. All the peer reviewed publications on WM changes in mTBI from January 2011 through September 2016 are included in this review. This review is organized as follows: introduction to mTBI, the basics of multimodal MRI techniques that are potentially useful for probing the WM integrity, summary and critical evaluation of the published literature on the application of multimodal MRI techniques to assess the changes of WM in mTBI, and correlation of MRI measures with behavioral deficits. The MRI–pathology correlation studies based on preclinical models of mTBI are also reviewed. Finally, the author's perspective of future research directions is described.
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Affiliation(s)
- Ponnada A Narayana
- Department of Diagnostic & Interventional Imaging, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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44
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Ainsley Dean PJ, Arikan G, Opitz B, Sterr A. Potential for use of creatine supplementation following mild traumatic brain injury. ACTA ACUST UNITED AC 2017; 2:CNC34. [PMID: 30202575 PMCID: PMC6094347 DOI: 10.2217/cnc-2016-0016] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2016] [Accepted: 02/07/2017] [Indexed: 01/27/2023]
Abstract
There is significant overlap between the neuropathology of mild traumatic brain injury (mTBI) and the cellular role of creatine, as well as evidence of neural creatine alterations after mTBI. Creatine supplementation has not been researched in mTBI, but shows some potential as a neuroprotective when administered prior to or after TBI. Consistent with creatine’s cellular role, supplementation reduced neuronal damage, protected against the effects of cellular energy crisis and improved cognitive and somatic symptoms. A variety of factors influencing the efficacy of creatine supplementation are highlighted, as well as avenues for future research into the potential of supplementation as an intervention for mTBI. In particular, the slow neural uptake of creatine may mean that greater effects are achieved by pre-emptive supplementation in at-risk groups.
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Affiliation(s)
- Philip John Ainsley Dean
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, UK
| | - Gozdem Arikan
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, UK
| | - Bertram Opitz
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, UK
| | - Annette Sterr
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, UK
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45
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van Noordt S, Chiappetta K, Good D. Moral decision-making in university students with self-reported mild head injury. Soc Neurosci 2016; 12:541-550. [DOI: 10.1080/17470919.2016.1195773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Stefon van Noordt
- Department of Psychology, Neuropsychology Cognitive Research Lab, Brock University, St. Catharines, ON, Canada
| | - Katie Chiappetta
- Department of Psychology, Neuropsychology Cognitive Research Lab, Brock University, St. Catharines, ON, Canada
| | - Dawn Good
- Department of Psychology and Centre for Neuroscience, Neuropsychology Cognitive Research Lab, Brock University, St. Catharines, ON, Canada
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A voxel-based meta-analysis of diffusion tensor imaging in mild traumatic brain injury. Neurosci Biobehav Rev 2016; 66:119-26. [PMID: 27133211 DOI: 10.1016/j.neubiorev.2016.04.021] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Revised: 03/31/2016] [Accepted: 04/27/2016] [Indexed: 12/22/2022]
Abstract
Microstructural damage to white matter and resultant abnormal structural connectivity are a potential underlying pathophysiological mechanism of mild traumatic brain injury (mTBI). Many Tract-Based Spatial Statics studies have investigated the pathophysiology of mTBI, but they yielded inconsistent results potentially due to insufficient statistical power in spite of methodological homogeneity. We used anisotropic effect size signed differential mapping (AES-SDM) to integrate previous studies that recruited patients without a psychiatric history. AES-SDM revealed that fractional anisotropy values were significantly lower in mTBI patients than in control in three clusters. The peak of the largest cluster was in the left thalamus and the cluster extended to the splenium of the corpus callosum and to the anterior thalamic radiation. The second largest cluster was situated in the left forceps minor, and the third largest cluster was in the right superior longitudinal fasciculus III. These results suggest that the pathophysiology of mTBI includes abnormal structural connectivity between the thalamus and the prefrontal cortex, and abnormal intra- and inter-hemispheric structural connectivity involving the prefrontal cortex.
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47
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Dall'Acqua P, Johannes S, Mica L, Simmen HP, Glaab R, Fandino J, Schwendinger M, Meier C, Ulbrich EJ, Müller A, Jäncke L, Hänggi J. Connectomic and Surface-Based Morphometric Correlates of Acute Mild Traumatic Brain Injury. Front Hum Neurosci 2016; 10:127. [PMID: 27065831 PMCID: PMC4809899 DOI: 10.3389/fnhum.2016.00127] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 03/09/2016] [Indexed: 02/01/2023] Open
Abstract
Reduced integrity of white matter (WM) pathways and subtle anomalies in gray matter (GM) morphology have been hypothesized as mechanisms in mild traumatic brain injury (mTBI). However, findings on structural brain changes in early stages after mTBI are inconsistent and findings related to early symptoms severity are rare. Fifty-one patients were assessed with multimodal neuroimaging and clinical methods exclusively within 7 days following mTBI and compared to 53 controls. Whole-brain connectivity based on diffusion tensor imaging was subjected to network-based statistics, whereas cortical surface area, thickness, and volume based on T1-weighted MRI scans were investigated using surface-based morphometric analysis. Reduced connectivity strength within a subnetwork of 59 edges located predominantly in bilateral frontal lobes was significantly associated with higher levels of self-reported symptoms. In addition, cortical surface area decreases were associated with stronger complaints in five clusters located in bilateral frontal and postcentral cortices, and in the right inferior temporal region. Alterations in WM and GM were localized in similar brain regions and moderately-to-strongly related to each other. Furthermore, the reduction of cortical surface area in the frontal regions was correlated with poorer attentive-executive performance in the mTBI group. Finally, group differences were detected in both the WM and GM, especially when focusing on a subgroup of patients with greater complaints, indicating the importance of classifying mTBI patients according to severity of symptoms. This study provides evidence that mTBI affects not only the integrity of WM networks by means of axonal damage but also the morphology of the cortex during the initial post-injury period. These anomalies might be greater in the acute period than previously believed and the involvement of frontal brain regions was consistently pronounced in both findings. The dysconnected subnetwork suggests that mTBI can be conceptualized as a dysconnection syndrome. It remains unclear whether reduced WM integrity is the trigger for changes in cortical surface area or whether tissue deformations are the direct result of mechanical forces acting on the brain. The findings suggest that rapid identification of high-risk patients with the use of clinical scales should be assessed acutely as part of the mTBI protocol.
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Affiliation(s)
- Patrizia Dall'Acqua
- Bellikon Rehabilitation ClinicBellikon, Switzerland; Division Neuropsychology, Department of Psychology, University of ZurichZurich, Switzerland
| | | | - Ladislav Mica
- Division of Trauma Surgery, University Hospital Zurich Zurich, Switzerland
| | - Hans-Peter Simmen
- Division of Trauma Surgery, University Hospital Zurich Zurich, Switzerland
| | - Richard Glaab
- Department of Traumatology, Cantonal Hospital Aarau Aarau, Switzerland
| | - Javier Fandino
- Department of Neurosurgery, Cantonal Hospital Aarau Aarau, Switzerland
| | - Markus Schwendinger
- Interdisciplinary Emergency Centre, Baden Cantonal Hospital Baden, Switzerland
| | - Christoph Meier
- Department of Surgery, Waid Hospital Zurich Zurich, Switzerland
| | - Erika J Ulbrich
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich Zurich, Switzerland
| | | | - Lutz Jäncke
- Division Neuropsychology, Department of Psychology, University of ZurichZurich, Switzerland; International Normal Aging and Plasticity Imaging Center, University of ZurichZurich, Switzerland; Center for Integrative Human Physiology, University of ZurichZurich, Switzerland; University Research Priority Program, Dynamic of Healthy Aging, University of ZurichZurich, Switzerland
| | - Jürgen Hänggi
- Division Neuropsychology, Department of Psychology, University of Zurich Zurich, Switzerland
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48
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Diffusion tensor imaging alterations in patients with postconcussion syndrome undergoing exercise treatment: a pilot longitudinal study. J Head Trauma Rehabil 2016; 30:E32-42. [PMID: 24721808 DOI: 10.1097/htr.0000000000000037] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PURPOSE To investigate diffusion tensor imaging characteristics in patients with postconcussion syndrome (PCS) who received exercise (n = 4) and placebo stretching (n = 4) treatments compared with a group of healthy controls (n = 15). METHODS Subjects diagnosed with PCS obtained a diffusion tensor imaging magnetic resonance image at pretreatment (baseline) and approximately 8 weeks later (follow-up). Analyses included a groupwise comparison using tract-based spatial statistics and a z-score map that investigated localized regional anomalies compared with the healthy control group projected onto the tract-based spatial statistics skeleton. RESULTS The tract-based spatial statistics analysis detected groupwise differences in the genu of the corpus callosum at both time points with decreased fractional anisotropy and increased radial diffusivity and mean diffusivity values. In contrast, the z-score analysis was more sensitive to heterogeneous changes in fractional anisotropy, with both low- and high-localized areas across various white matter regions, the most prevalent being the corpus callosum, anterior and superior corona radiata, and internal and external capsules. The mean number of voxels different in patients with PCS versus healthy controls was greater in all cases (baseline lower: P < .03 and higher: P < .0001; follow-up lower: P < .0001 and higher: P < .0001). The volume and location of these abnormal regions changed between the 2 diffusion tensor imaging scans, but these did not correlate with the mitigation of symptoms in the patients with PCS. CONCLUSIONS Diffusion tensor imaging revealed spatially varying and heterogeneous localized irregularities in patients with PCS that persisted even as patient symptoms decreased and prognosis improved.
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49
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Abstract
OBJECTIVES Recent advances in neuroimaging methodologies sensitive to axonal injury have made it possible to assess in vivo the extent of traumatic brain injury (TBI) -related disruption in neural structures and their connections. The objective of this paper is to review studies examining connectivity in TBI with an emphasis on structural and functional MRI methods that have proven to be valuable in uncovering neural abnormalities associated with this condition. METHODS We review studies that have examined white matter integrity in TBI of varying etiology and levels of severity, and consider how findings at different times post-injury may inform underlying mechanisms of post-injury progression and recovery. Moreover, in light of recent advances in neuroimaging methods to study the functional connectivity among brain regions that form integrated networks, we review TBI studies that use resting-state functional connectivity MRI methodology to examine neural networks disrupted by putative axonal injury. RESULTS The findings suggest that TBI is associated with altered structural and functional connectivity, characterized by decreased integrity of white matter pathways and imbalance and inefficiency of functional networks. These structural and functional alterations are often associated with neurocognitive dysfunction and poor functional outcomes. CONCLUSIONS TBI has a negative impact on distributed brain networks that lead to behavioral disturbance.
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50
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Miller DR, Hayes JP, Lafleche G, Salat DH, Verfaellie M. White matter abnormalities are associated with chronic postconcussion symptoms in blast-related mild traumatic brain injury. Hum Brain Mapp 2016; 37:220-9. [PMID: 26497829 PMCID: PMC4760357 DOI: 10.1002/hbm.23022] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Revised: 08/10/2015] [Accepted: 10/04/2015] [Indexed: 01/07/2023] Open
Abstract
Blast-related mild traumatic brain injury (mTBI) is a common injury among Iraq and Afghanistan military veterans due to the frequent use of improvised explosive devices. A significant minority of individuals with mTBI report chronic postconcussion symptoms (PCS), which include physical, emotional, and cognitive complaints. However, chronic PCS are nonspecific and are also associated with mental health disorders such as posttraumatic stress disorder (PTSD). Identifying the mechanisms that contribute to chronic PCS is particularly challenging in blast-related mTBI, where the incidence of comorbid PTSD is high. In this study, we examined whether blast-related mTBI is associated with diffuse white matter changes, and whether these neural changes are associated with chronic PCS. Ninety Operation Enduring Freedom/Operation Iraqi Freedom (OEF/OIF) veterans were assigned to one of three groups including a blast-exposed no--TBI group, a blast-related mTBI without loss of consciousness (LOC) group (mTBI--LOC), and a blast-related mTBI with LOC group (mTBI + LOC). PCS were measured with the Rivermead Postconcussion Questionnaire. Results showed that participants in the mTBI + LOC group had more spatially heterogeneous white matter abnormalities than those in the no--TBI group. These white matter abnormalities were significantly associated with physical PCS severity even after accounting for PTSD symptoms, but not with cognitive or emotional PCS severity. A mediation analysis revealed that mTBI + LOC significantly influenced physical PCS severity through its effect on white matter integrity. These results suggest that white matter abnormalities are associated with chronic PCS independent of PTSD symptom severity and that these abnormalities are an important mechanism explaining the relationship between mTBI and chronic physical PCS.
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Affiliation(s)
- Danielle R. Miller
- Department of Anatomy and NeurobiologyBoston University School of MedicineBostonMassachusetts
- Memory Disorders Research CenterVA Boston Healthcare SystemBostonMassachusetts
| | - Jasmeet P. Hayes
- National Center for PTSDVA Boston Healthcare SystemBostonMassachusetts
- Department of PsychiatryBoston University School of MedicineBostonMassachusetts
- Neuroimaging Research for Veterans Center, VA Boston Healthcare SystemBostonMassachusetts
| | - Ginette Lafleche
- Memory Disorders Research CenterVA Boston Healthcare SystemBostonMassachusetts
- Department of PsychiatryBoston University School of MedicineBostonMassachusetts
| | - David H. Salat
- Neuroimaging Research for Veterans Center, VA Boston Healthcare SystemBostonMassachusetts
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalCharlestownMassachusetts
- Harvard Medical School, Harvard UniversityBostonMassachusetts
| | - Mieke Verfaellie
- Memory Disorders Research CenterVA Boston Healthcare SystemBostonMassachusetts
- Department of PsychiatryBoston University School of MedicineBostonMassachusetts
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