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Kim S, Ollinger J, Song C, Raiciulescu S, Seenivasan S, Wolfgang A, Kim H, Werner JK, Yeh PH. White Matter Alterations in Military Service Members With Remote Mild Traumatic Brain Injury. JAMA Netw Open 2024; 7:e248121. [PMID: 38635266 PMCID: PMC11161843 DOI: 10.1001/jamanetworkopen.2024.8121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 02/25/2024] [Indexed: 04/19/2024] Open
Abstract
Importance Mild traumatic brain injury (mTBI) is the signature injury experienced by military service members and is associated with poor neuropsychiatric outcomes. Yet, there is a lack of reliable clinical tools for mTBI diagnosis and prognosis. Objective To examine the white matter microstructure and neuropsychiatric outcomes of service members with a remote history of mTBI (ie, mTBI that occurred over 2 years ago) using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Design, Setting, and Participants This case-control study examined 98 male service members enrolled in a study at the National Intrepid Center of Excellence. Eligible participants were active duty status or able to enroll in the Defense Enrollment Eligibility Reporting system, ages 18 to 60 years, and had a remote history of mTBI; controls were matched by age. Exposures Remote history of mTBI. Main Outcomes and Measures White matter microstructure was assessed using a region-of-interest approach of skeletonized diffusion images, including DTI (fractional anisotropy, mean diffusivity, radial diffusivity and axial diffusivity) and NODDI (orientation dispersion index [ODI], isotropic volume fraction, intra-cellular volume fraction). Neuropsychiatric outcomes associated with posttraumatic stress disorder (PTSD) and postconcussion syndrome were assessed. Results A total of 65 male patients with a remote history of mTBI (mean [SD] age, 40.5 [5.0] years) and 33 age-matched male controls (mean [SD] age, 38.9 [5.6] years) were included in analysis. Compared with the control cohort, the 65 service members with mTBI presented with significantly more severe PTSD-like symptoms (mean [SD] PTSD CheckList-Civilian [PCL-C] version scores: control, 19.0 [3.8] vs mTBI, 41.2 [11.6]; P < .001). DTI and NODDI metrics were altered in the mTBI group compared with the control, including intra-cellular volume fraction of the right cortico-spinal tract (β = -0.029, Cohen d = 0.66; P < .001), ODI of the left posterior thalamic radiation (β = -0.006, Cohen d = 0.55; P < .001), and ODI of the left uncinate fasciculus (β = 0.013, Cohen d = 0.61; P < .001). In service members with mTBI, fractional anisotropy of the left uncinate fasciculus was associated with postconcussion syndrome (β = 5.4 × 10-3; P = .003), isotropic volume fraction of the genu of the corpus callosum with PCL-C (β = 4.3 × 10-4; P = .01), and ODI of the left fornix and stria terminalis with PCL-C avoidance scores (β = 1.2 × 10-3; P = .02). Conclusions and Relevance In this case-control study of military-related mTBI, the results suggest that advanced magnetic resonance imaging techniques using NODDI can reveal white matter microstructural alterations associated with neuropsychiatric symptoms in the chronic phase of mTBI. Diffusion trends observed throughout widespread white matter regions-of-interest may reflect mechanisms of neurodegeneration as well as postinjury tissue scarring and reorganization.
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Affiliation(s)
- Sharon Kim
- Program in Neuroscience, Uniformed Services University of Health Sciences, Bethesda, Maryland
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - John Ollinger
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Chihwa Song
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Sorana Raiciulescu
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - Srija Seenivasan
- Program in Neuroscience, Uniformed Services University of Health Sciences, Bethesda, Maryland
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - Aaron Wolfgang
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Directorate of Behavioral Health, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Hosung Kim
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles
| | - J. Kent Werner
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
- Department of Neurology, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Ping-Hong Yeh
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
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Goeckner BD, Brett BL, Mayer AR, España LY, Banerjee A, Muftuler LT, Meier TB. Associations of prior concussion severity with brain microstructure using mean apparent propagator magnetic resonance imaging. Hum Brain Mapp 2024; 45:e26556. [PMID: 38158641 PMCID: PMC10789198 DOI: 10.1002/hbm.26556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 10/16/2023] [Accepted: 11/21/2023] [Indexed: 01/03/2024] Open
Abstract
Magnetic resonance imaging (MRI) diffusion studies have shown chronic microstructural tissue abnormalities in athletes with history of concussion, but with inconsistent findings. Concussions with post-traumatic amnesia (PTA) and/or loss of consciousness (LOC) have been connected to greater physiological injury. The novel mean apparent propagator (MAP) MRI is expected to be more sensitive to such tissue injury than the conventional diffusion tensor imaging. This study examined effects of prior concussion severity on microstructure with MAP-MRI. Collegiate-aged athletes (N = 111, 38 females; ≥6 months since most recent concussion, if present) completed semistructured interviews to determine the presence of prior concussion and associated injury characteristics, including PTA and LOC. MAP-MRI metrics (mean non-Gaussian diffusion [NG Mean], return-to-origin probability [RTOP], and mean square displacement [MSD]) were calculated from multi-shell diffusion data, then evaluated for associations with concussion severity through group comparisons in a primary model (athletes with/without prior concussion) and two secondary models (athletes with/without prior concussion with PTA and/or LOC, and athletes with/without prior concussion with LOC only). Bayesian multilevel modeling estimated models in regions of interest (ROI) in white matter and subcortical gray matter, separately. In gray matter, the primary model showed decreased NG Mean and RTOP in the bilateral pallidum and decreased NG Mean in the left putamen with prior concussion. In white matter, lower NG Mean with prior concussion was present in all ROI across all models and was further decreased with LOC. However, only prior concussion with LOC was associated with decreased RTOP and increased MSD across ROI. Exploratory analyses conducted separately in male and female athletes indicate associations in the primary model may differ by sex. Results suggest microstructural measures in gray matter are associated with a general history of concussion, while a severity-dependent association of prior concussion may exist in white matter.
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Affiliation(s)
- Bryna D. Goeckner
- Department of BiophysicsMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Benjamin L. Brett
- Department of NeurosurgeryMedical College of WisconsinMilwaukeeWisconsinUSA
- Department of NeurologyMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Andrew R. Mayer
- The Mind Research Network/Lovelace Biomedical and Environmental Research InstituteAlbuquerqueNew MexicoUSA
- Departments of Neurology and PsychiatryUniversity of New Mexico School of MedicineAlbuquerqueNew MexicoUSA
- Department of PsychologyUniversity of New MexicoAlbuquerqueNew MexicoUSA
| | - Lezlie Y. España
- Department of NeurosurgeryMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Anjishnu Banerjee
- Department of BiostatisticsMedical College of WisconsinMilwaukeeWisconsinUSA
| | - L. Tugan Muftuler
- Department of NeurosurgeryMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Timothy B. Meier
- Department of NeurosurgeryMedical College of WisconsinMilwaukeeWisconsinUSA
- Department of Biomedical EngineeringMedical College of WisconsinMilwaukeeWisconsinUSA
- Department of Cell Biology, Neurobiology and AnatomyMedical College of WisconsinMilwaukeeWisconsinUSA
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Stein A, Vinh To X, Nasrallah FA, Barlow KM. Evidence of Ongoing Cerebral Microstructural Reorganization in Children With Persisting Symptoms Following Mild Traumatic Brain Injury: A NODDI DTI Analysis. J Neurotrauma 2024; 41:41-58. [PMID: 37885245 DOI: 10.1089/neu.2023.0196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023] Open
Abstract
Approximately 300-550 children per 100,000 sustain a mild traumatic brain injury (mTBI) each year, of whom ∼25-30% have long-term cognitive problems. Following mTBI, free water (FW) accumulation occurs in white matter (WM) tracts. Diffusion tensor imaging (DTI) can be used to investigate structural integrity following mTBI. Compared with conventional DTI, neurite orientation dispersion and density imaging (NODDI) orientation dispersion index (ODI) and fraction of isolated free water (FISO) metrics may allow a more advanced insight into microstructural damage following pediatric mTBI. In this longitudinal study, we used NODDI to explore whole-brain and tract-specific differences in ODI and FISO in children with persistent symptoms after mTBI (n = 80) and in children displaying clinical recovery (n = 32) at 1 and 2-3 months post-mTBI compared with healthy controls (HCs) (n = 21). Two-way repeated measures analysis of variance (ANOVA) and voxelwise two-sample t tests were conducted to compare whole-brain and tract-specific diffusion across groups. All results were corrected at positive false discovery rate (pFDR) <0.05. We also examined the association between NODDI metrics and clinical outcomes, using logistical regression to investigate the value of NODDI metrics in predicting future recovery from mTBI. Whole-brain ODI was significantly increased in symptomatic participants compared with HCs at both 1 and 2 months post-injury, where the uncinate fasciculus (UF) and inferior fronto-occipital fasciculus (IFOF) were particularly implicated. Using region of interest (ROI) analysis in significant WM, bilateral IFOF and UF voxels, symptomatic participants had the highest ODI in all ROIs. ODI was lower in asymptomatic participants, and HCs had the lowest ODI in all ROIs. No changes in FISO were found across groups or over time. WM ODI was moderately correlated with a higher youth-reported post-concussion symptom inventory (PCSI) score. With 87% predictive power, ODI (1 month post-injury) and clinical predictors (age, sex, PCSI score, attention scores) were a more sensitive predictor of recovery at 2-3 months post-injury than fractional anisotropy (FA) and clinical predictors, or clinical predictors alone. FISO could not predict recovery at 2-3 months post-injury. Therefore, we found that ODI was significantly increased in symptomatic children following mTBI compared with HCs at 1 month post-injury, and progressively decreased over time alongside clinical recovery. We found no significant differences in FISO between groups or over time. WM ODI at 1 month was a more sensitive predictor of clinical recovery at 2-3 months post-injury than FA, FISO, or clinical measures alone. Our results show evidence of ongoing microstructural reorganization or neuroinflammation between 1 and 2-3 months post-injury, further supporting delayed return to play in children who remain symptomatic. We recommend future research examining the clinical utility of NODDI following mTBI to predict recovery or persistence of post-concussion symptoms and thereby inform management of mTBI.
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Affiliation(s)
- Athena Stein
- Acquired Brain Injury in Children Research Group, The University of Queensland, South Brisbane, Queensland, Australia
| | - Xuan Vinh To
- Queensland Brain Institute, The University of Queensland, South Brisbane, Queensland, Australia
| | - Fatima A Nasrallah
- Queensland Brain Institute, The University of Queensland, South Brisbane, Queensland, Australia
| | - Karen M Barlow
- Acquired Brain Injury in Children Research Group, The University of Queensland, South Brisbane, Queensland, Australia
- Queensland Pediatric Rehabilitation Service, Queensland Children's Hospital, South Brisbane, Queensland, Australia
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Anderson JFI, Oehr LE, Chen J, Maller JJ, Seal ML, Yang JYM. The relationship between cognition and white matter tract damage after mild traumatic brain injury in a premorbidly healthy, hospitalised adult cohort during the post-acute period. Front Neurol 2023; 14:1278908. [PMID: 37936919 PMCID: PMC10626495 DOI: 10.3389/fneur.2023.1278908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 09/21/2023] [Indexed: 11/09/2023] Open
Abstract
Introduction Recent developments in neuroimaging techniques enable increasingly sensitive consideration of the cognitive impact of damage to white matter tract (WMT) microstructural organisation after mild traumatic brain injury (mTBI). Objective This study investigated the relationship between WMT microstructural properties and cognitive performance. Participants setting and design Using an observational design, a group of 26 premorbidly healthy adults with mTBI and a group of 20 premorbidly healthy trauma control (TC) participants who were well-matched on age, sex, premorbid functioning and a range of physical, psychological and trauma-related variables, were recruited following hospital admission for traumatic injury. Main measures All participants underwent comprehensive unblinded neuropsychological examination and structural neuroimaging as outpatients 6-10 weeks after injury. Neuropsychological examination included measures of speed of processing, attention, memory, executive function, affective state, pain, fatigue and self-reported outcome. The WMT microstructural properties were estimated using both diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) modelling techniques. Tract properties were compared between the corpus callosum, inferior longitudinal fasciculus, uncinate fasciculus, anterior corona radiata and three segmented sections of the superior longitudinal fasciculus. Results For the TC group, in all investigated tracts, with the exception of the uncinate fasciculus, two DTI metrics (fractional anisotropy and apparent diffusion coefficient) and one NODDI metric (intra-cellular volume fraction) revealed expected predictive linear relationships between extent of WMT microstructural organisation and processing speed, memory and executive function. The mTBI group showed a strikingly different pattern relative to the TC group, with no relationships evident between WMT microstructural organisation and cognition on most tracts. Conclusion These findings indicate that the predictive relationship that normally exists in adults between WMT microstructural organisation and cognition, is significantly disrupted 6-10 weeks after mTBI and suggests that WMT microstructural organisation and cognitive function have disparate recovery trajectories.
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Affiliation(s)
- Jacqueline F. I. Anderson
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC, Australia
- Department of Psychology, The Alfred Hospital, Melbourne, VIC, Australia
| | - Lucy E. Oehr
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC, Australia
| | - Jian Chen
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Jerome J. Maller
- General Electric Healthcare, Melbourne, VIC, Australia
- Monash Alfred Psychiatry Research Centre, Melbourne, VIC, Australia
| | - Marc L. Seal
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
| | - Joseph Yuan-Mou Yang
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia
- Neuroscience Research, Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Department of Neurosurgery, Neuroscience Advanced Clinical Imaging Service (NACIS), The Royal Children's Hospital, Melbourne, VIC, Australia
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Merino J, Whelan BM, Finch E. Examining the occurrence and outcomes of concussion and mTBI in mixed martial arts athletes: a systematic review. PHYSICIAN SPORTSMED 2023; 51:394-404. [PMID: 35377825 DOI: 10.1080/00913847.2022.2061836] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 03/30/2022] [Indexed: 10/18/2022]
Abstract
INTRODUCTION Mixed martial arts (MMA) is a sport growing in popularity around the world. However, many individuals participate in the sport with little understanding of the potential short- and long-term consequences of injuries sustained while participating. Specifically, individuals are placed at a high risk of minor traumatic brain injury (mTBI) and concussive episodes as a result of head injuries incurred during training and competition. AIMS The current review aimed to examine the literature surrounding the occurrence and outcomes of mTBI in MMA athletes to gain a better understanding of these consequences. METHODS Twenty-five studies were identified within the current review, of which 14 examined occurrence of mTBI within the sport setting, and elevenidentified outcomes of injury. RESULTS Overall, studies found that MMA athletes experienced mTBI and concussion to a greater extent than athletes in other sports. Deficits in memory, reaction time and processing speed were identified following occurrence of mTBI; however, several gaps in outcome measurement were identified within the current literature, including a lack of focus on speech and language outcomes. CONCLUSION Future research should examine a wider variety of outcomes to provide a clearer understanding of the consequences of participating in the sport.
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Affiliation(s)
- Joanne Merino
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Brooke-Mai Whelan
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD, Australia
- Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Emma Finch
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD, Australia
- Speech Pathology Department, Princess Alexandra Hospital, Metro South Health, Brisbane, QLD, Australia
- Centre for Functioning and Health Research, Metro South Health, Brisbane, QLD, Australia
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Goubran M, Mills BD, Georgiadis M, Karimpoor M, Mouchawar N, Sami S, Dennis EL, Akers C, Mitchell L, Boldt B, Douglas D, DiGiacomo PS, Rosenberg J, Grant G, Wintermark M, Camarillo DB, Zeineh M. Microstructural Alterations in Tract Development in College Football and Volleyball Players: A Longitudinal Diffusion MRI Study. Neurology 2023; 101:e953-e965. [PMID: 37479529 PMCID: PMC10501097 DOI: 10.1212/wnl.0000000000207543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 05/05/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Repeated impacts in high-contact sports such as American football can affect the brain's microstructure, which can be studied using diffusion MRI. Most imaging studies are cross-sectional, do not include low-contact players as controls, or lack advanced tract-specific microstructural metrics. We aimed to investigate longitudinal changes in high-contact collegiate athletes compared with low-contact controls using advanced diffusion MRI and automated fiber quantification. METHODS We examined brain microstructure in high-contact (football) and low-contact (volleyball) collegiate athletes with up to 4 years of follow-up. Inclusion criteria included university and team enrollment. Exclusion criteria included history of neurosurgery, severe brain injury, and major neurologic or substance abuse disorder. We investigated diffusion metrics along the length of tracts using nested linear mixed-effects models to ascertain the acute and chronic effects of subconcussive and concussive impacts, and associations between diffusion changes with clinical, behavioral, and sports-related measures. RESULTS Forty-nine football and 24 volleyball players (271 total scans) were included. Football players had significantly divergent trajectories in multiple microstructural metrics and tracts. Longitudinal increases in fractional anisotropy and axonal water fraction, and decreases in radial/mean diffusivity and orientation dispersion index, were present in volleyball but absent in football players (all findings |T-statistic|> 3.5, p value <0.0001). This pattern was present in the callosum forceps minor, superior longitudinal fasciculus, thalamic radiation, and cingulum hippocampus. Longitudinal differences were more prominent and observed in more tracts in concussed football players (n = 24, |T|> 3.6, p < 0.0001). An analysis of immediate postconcussion scans (n = 12) demonstrated a transient localized increase in axial diffusivity and mean/radial kurtosis in the uncinate and cingulum hippocampus (|T| > 3.7, p < 0.0001). Finally, within football players, those with high position-based impact risk demonstrated increased intracellular volume fraction longitudinally (T = 3.6, p < 0.0001). DISCUSSION The observed longitudinal changes seen in football, and especially concussed athletes, could reveal diminished myelination, altered axonal calibers, or depressed pruning processes leading to a static, nondecreasing axonal dispersion. This prospective longitudinal study demonstrates divergent tract-specific trajectories of brain microstructure, possibly reflecting a concussive and repeated subconcussive impact-related alteration of white matter development in football athletes.
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Affiliation(s)
- Maged Goubran
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Brian David Mills
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Marios Georgiadis
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Mahta Karimpoor
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Nicole Mouchawar
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Sohrab Sami
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Emily Larson Dennis
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Carolyn Akers
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Lex Mitchell
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Brian Boldt
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - David Douglas
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Phillip Scott DiGiacomo
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Jarrett Rosenberg
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Gerald Grant
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Max Wintermark
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - David Benjamin Camarillo
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA
| | - Michael Zeineh
- From the Departments of Radiology (Maged Goubran, B.D.M., Marios Georgiadis, M.K., N.M., C.A., L.M., D.D., P.S.D., J.R., M.W., M.Z.), Neurosurgery (G.G.), and Bioengineering (D.B.C.), Stanford University, CA; Department of Medical Biophysics (Maged Goubran) and Physical Sciences Platform & Hurvitz Brain Sciences Research Program (Maged Goubran), Sunnybrook Research Institute, University of Toronto, ON, Canada; Stanford Center for Clinical Research (S.S.), CA; Department of Neurology (E.L.D.), University of Utah School of Medicine, Salt Lake City; Department of Radiology (B.B.), Uniformed Services University of the Health Sciences, Bethesda, MD; and Department of Radiology (B.B.), Madigan Army Medical Center, Tacoma, WA.
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7
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Loftus JR, Puri S, Meyers SP. Multimodality imaging of neurodegenerative disorders with a focus on multiparametric magnetic resonance and molecular imaging. Insights Imaging 2023; 14:8. [PMID: 36645560 PMCID: PMC9842851 DOI: 10.1186/s13244-022-01358-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 12/13/2022] [Indexed: 01/17/2023] Open
Abstract
Neurodegenerative diseases afflict a large number of persons worldwide, with the prevalence and incidence of dementia rapidly increasing. Despite their prevalence, clinical diagnosis of dementia syndromes remains imperfect with limited specificity. Conventional structural-based imaging techniques also lack the accuracy necessary for confident diagnosis. Multiparametric magnetic resonance imaging and molecular imaging provide the promise of improving specificity and sensitivity in the diagnosis of neurodegenerative disease as well as therapeutic monitoring of monoclonal antibody therapy. This educational review will briefly focus on the epidemiology, clinical presentation, and pathologic findings of common and uncommon neurodegenerative diseases. Imaging features of each disease spanning from conventional magnetic resonance sequences to advanced multiparametric methods such as resting-state functional magnetic resonance imaging and arterial spin labeling imaging will be described in detail. Additionally, the review will explore the findings of each diagnosis on molecular imaging including single-photon emission computed tomography and positron emission tomography with a variety of clinically used and experimental radiotracers. The literature and clinical cases provided demonstrate the power of advanced magnetic resonance imaging and molecular techniques in the diagnosis of neurodegenerative diseases and areas of future and ongoing research. With the advent of combined positron emission tomography/magnetic resonance imaging scanners, hybrid protocols utilizing both techniques are an attractive option for improving the evaluation of neurodegenerative diseases.
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Affiliation(s)
- James Ryan Loftus
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
| | - Savita Puri
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
| | - Steven P. Meyers
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
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8
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To XV, Mohamed AZ, Cumming P, Nasrallah FA. Association of sub-acute changes in plasma amino acid levels with long-term brain pathologies in a rat model of moderate-severe traumatic brain injury. Front Neurosci 2023; 16:1014081. [PMID: 36685246 PMCID: PMC9853432 DOI: 10.3389/fnins.2022.1014081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 12/12/2022] [Indexed: 01/09/2023] Open
Abstract
Introduction Traumatic brain injury (TBI) induces a cascade of cellular alterations that are responsible for evolving secondary brain injuries. Changes in brain structure and function after TBI may occur in concert with dysbiosis and altered amino acid fermentation in the gut. Therefore, we hypothesized that subacute plasma amino acid levels could predict long-term microstructural outcomes as quantified using neurite orientation dispersion and density imaging (NODDI). Methods Fourteen 8-10-week-old male rats were randomly assigned either to sham (n = 6) or a single moderate-severe TBI (n = 8) procedure targeting the primary somatosensory cortex. Venous blood samples were collected at days one, three, seven, and 60 post-procedure and NODDI imaging were carried out at day 60. Principal Component Regression analysis was used to identify time dependent plasma amino acid concentrations after in the subacute phase post-injury that predicted NODDI metric outcomes at day 60. Results The TBI group had significantly increased plasma levels of glutamine, arginine, alanine, proline, tyrosine, valine, isoleucine, leucine, and phenylalanine at days three-seven post-injury. Higher levels of several neuroprotective amino acids, especially the branched-chain amino acids (valine, isoleucine, leucine) and phenylalanine, as well as serine, arginine, and asparagine at days three-seven post-injury were also associated with lower isotropic diffusion volume fraction measures in the ventricles and thus lesser ventricular dilation at day 60. Discussion In the first such study, we examined the relationship between the long-term post-TBI microstructural outcomes across whole brain and the subacute changes in plasma amino acid concentrations. At days three to seven post-injury, we observed that increased plasma levels of several amino acids, particularly the branched-chain amino acids and phenylalanine, were associated with lesser degrees of ventriculomegaly and hydrocephalus TBI neuropathology at day 60 post-injury. The results imply that altered amino acid fermentation in the gut may mediate neuroprotection in the aftermath of TBI.
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Affiliation(s)
- Xuan Vinh To
- The Queensland Brain Institute, The University of Queensland, Saint Lucia, QLD, Australia
| | - Abdalla Z. Mohamed
- The Queensland Brain Institute, The University of Queensland, Saint Lucia, QLD, Australia,Thompson Institute, University of the Sunshine Coast, Sunshine Coast, QLD, Australia
| | - Paul Cumming
- Department of Nuclear Medicine, Bern University Hospital, Bern, Switzerland,School of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD, Australia
| | - Fatima A. Nasrallah
- The Queensland Brain Institute, The University of Queensland, Saint Lucia, QLD, Australia,Centre for Advanced Imaging, The University of Queensland, Saint Lucia, QLD, Australia,*Correspondence: Fatima A. Nasrallah,
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9
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Mayer AR, Ling JM, Dodd AB, Stephenson DD, Pabbathi Reddy S, Robertson-Benta CR, Erhardt EB, Harms RL, Meier TB, Vakhtin AA, Campbell RA, Sapien RE, Phillips JP. Multicompartmental models and diffusion abnormalities in paediatric mild traumatic brain injury. Brain 2022; 145:4124-4137. [PMID: 35727944 DOI: 10.1093/brain/awac221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 04/29/2022] [Accepted: 06/09/2022] [Indexed: 01/23/2023] Open
Abstract
The underlying pathophysiology of paediatric mild traumatic brain injury and the time-course for biological recovery remains widely debated, with clinical care principally informed by subjective self-report. Similarly, clinical evidence indicates that adolescence is a risk factor for prolonged recovery, but the impact of age-at-injury on biomarkers has not been determined in large, homogeneous samples. The current study collected diffusion MRI data in consecutively recruited patients (n = 203; 8-18 years old) and age and sex-matched healthy controls (n = 170) in a prospective cohort design. Patients were evaluated subacutely (1-11 days post-injury) as well as at 4 months post-injury (early chronic phase). Healthy participants were evaluated at similar times to control for neurodevelopment and practice effects. Clinical findings indicated persistent symptoms at 4 months for a significant minority of patients (22%), along with residual executive dysfunction and verbal memory deficits. Results indicated increased fractional anisotropy and reduced mean diffusivity for patients, with abnormalities persisting up to 4 months post-injury. Multicompartmental geometric models indicated that estimates of intracellular volume fractions were increased in patients, whereas estimates of free water fractions were decreased. Critically, unique areas of white matter pathology (increased free water fractions or increased neurite dispersion) were observed when standard assumptions regarding parallel diffusivity were altered in multicompartmental models to be more biologically plausible. Cross-validation analyses indicated that some diffusion findings were more reproducible when ∼70% of the total sample (142 patients, 119 controls) were used in analyses, highlighting the need for large-sample sizes to detect abnormalities. Supervised machine learning approaches (random forests) indicated that diffusion abnormalities increased overall diagnostic accuracy (patients versus controls) by ∼10% after controlling for current clinical gold standards, with each diffusion metric accounting for only a few unique percentage points. In summary, current results suggest that novel multicompartmental models are more sensitive to paediatric mild traumatic brain injury pathology, and that this sensitivity is increased when using parameters that more accurately reflect diffusion in healthy tissue. Results also indicate that diffusion data may be insufficient to achieve a high degree of objective diagnostic accuracy in patients when used in isolation, which is to be expected given known heterogeneities in pathophysiology, mechanism of injury and even criteria for diagnoses. Finally, current results indicate ongoing clinical and physiological recovery at 4 months post-injury.
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Affiliation(s)
- Andrew R Mayer
- The Mind Research Network/LBERI, Albuquerque, NM 87106, USA.,Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA.,Department of Neurology, University of New Mexico, Albuquerque, NM 87131, USA.,Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM 87131, USA
| | - Josef M Ling
- The Mind Research Network/LBERI, Albuquerque, NM 87106, USA
| | - Andrew B Dodd
- The Mind Research Network/LBERI, Albuquerque, NM 87106, USA
| | | | | | | | - Erik B Erhardt
- Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131, USA
| | | | - Timothy B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.,Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, WI 53226, USA.,Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | | | - Richard A Campbell
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM 87131, USA
| | - Robert E Sapien
- Department of Emergency Medicine, University of New Mexico, Albuquerque, NM 87131, USA
| | - John P Phillips
- The Mind Research Network/LBERI, Albuquerque, NM 87106, USA.,Department of Neurology, University of New Mexico, Albuquerque, NM 87131, USA
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10
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Minosse S, Picchi E, Giuliano FD, di Cio F, Pistolese CA, Sarmati L, Teti E, Andreoni M, Floris R, Guerrisi M, Garaci F, Toschi N. Compartmental models for diffusion weighted MRI reveal widespread brain changes in HIV-infected patients. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:3834-3837. [PMID: 34892070 DOI: 10.1109/embc46164.2021.9629510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Diffusion tensor imaging (DTI) has been used to explore changes in the brain of subjects with human immunodeficiency virus (HIV) infection. However, DTI notoriously suffers from low specificity. Neurite orientation dispersion and density imaging (NODDI) is a compartmental model able to provide specific microstructural information with additional sensitivity/specificity. In this study we use both the NODDI and the DTI models to evaluate microstructural differences between 35 HIV-positive patients and 20 healthy controls. Diffusion-weighted imaging was acquired using three b-values (0, 1000 and 2500 s/mm2). Both DTI and NODDI models were fitted to the data, obtaining estimates for fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), axial diffusivity (AD), neurite density index (NDI) and orientation dispersion index (ODI), after which we performed group comparisons using Tract-based spatial statistics (TBSS). While significant group effects were found in in FA, MD, RD, AD and NDI, NDI analysis uncovered a much wider involvement of brain tissue in HIV infection as compared to DTI. In region-of interest (ROI)-based analysis, NDI estimates from the right corticospinal tract produced excellent performance in discriminating the two groups (AUC = 0.974, sensitivity = 90%; specificity =97%).
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11
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Zimmerman KA, Laverse E, Samra R, Yanez Lopez M, Jolly AE, Bourke NJ, Graham NSN, Patel MC, Hardy J, Kemp S, Morris HR, Sharp DJ. White matter abnormalities in active elite adult rugby players. Brain Commun 2021; 3:fcab133. [PMID: 34435188 PMCID: PMC8381344 DOI: 10.1093/braincomms/fcab133] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 05/05/2021] [Accepted: 05/12/2021] [Indexed: 11/13/2022] Open
Abstract
The recognition, diagnosis and management of mild traumatic brain injuries are difficult and confusing. It is unclear how the severity and number of injuries sustained relate to brain injuries, such as diffuse axonal injury, diffuse vascular injury and progressive neurodegeneration. Advances in neuroimaging techniques enable the investigation of neuropathologies associated with acute and long-term effects of injury. Head injuries are the most commonly reported injury seen during professional rugby. There is increased vigilance for the immediate effects of these injuries in matches, but there has been surprisingly little research investigating the longer-term effects of rugby participation. Here, we present a longitudinal observational study investigating the relationship of exposure to rugby participation and sub-acute head injuries in professional adult male and female rugby union and league players using advanced MRI. Diffusion tensor imaging and susceptibility weighted imaging was used to assess white matter structure and evidence of axonal and diffuse vascular injury. We also studied changes in brain structure over time using Jacobian Determinant statistics extracted from serial volumetric imaging. We tested 41 male and 3 female adult elite rugby players, of whom 21 attended study visits after a head injury, alongside 32 non-sporting controls, 15 non-collision-sport athletic controls and 16 longitudinally assessed controls. Eighteen rugby players participated in the longitudinal arm of the study, with a second visit at least 6 months after their first scan. Neuroimaging evidence of either axonal injury or diffuse vascular injury was present in 23% (10/44) of players. In the non-acutely injured group of rugby players, abnormalities of fractional anisotropy and other diffusion measures were seen. In contrast, non-collision-sport athletic controls were not classified as showing abnormalities. A group level contrast also showed evidence of sub-acute injury using diffusion tensor imaging in rugby players. Examination of longitudinal imaging revealed unexpected reductions in white matter volume in the elite rugby players studied. These changes were not related to self-reported head injury history or neuropsychological test scores and might indicate excess neurodegeneration in white matter tracts affected by injury. Taken together, our findings suggest an association of participation in elite adult rugby with changes in brain structure. Further well-designed large-scale studies are needed to understand the impact of both repeated sports-related head impacts and head injuries on brain structure, and to clarify whether the abnormalities we have observed are related to an increased risk of neurodegenerative disease and impaired neurocognitive function following elite rugby participation.
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Affiliation(s)
- Karl A Zimmerman
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK.,Care Research & Technology Centre, UK Dementia Research Institute, London W12 0BZ, UK
| | - Etienne Laverse
- Department of Clinical and Movement Neuroscience, University College London, London NW3 2PF, UK
| | - Ravjeet Samra
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK
| | - Maria Yanez Lopez
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK
| | - Amy E Jolly
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK.,Care Research & Technology Centre, UK Dementia Research Institute, London W12 0BZ, UK
| | - Niall J Bourke
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK.,Care Research & Technology Centre, UK Dementia Research Institute, London W12 0BZ, UK
| | - Neil S N Graham
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK.,Care Research & Technology Centre, UK Dementia Research Institute, London W12 0BZ, UK
| | - Maneesh C Patel
- Imaging Department, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London W6 8RF, UK
| | - John Hardy
- Department of Neurodegenerative Disease, Reta Lila Weston Laboratories, Queen Square Genomics, UCL Dementia Research Institute, London WC1N 3BG, UK
| | - Simon Kemp
- Rugby Football Union, Twickenham, London TW2 7BA, UK.,Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Huw R Morris
- Department of Clinical and Movement Neuroscience, University College London, London NW3 2PF, UK
| | - David J Sharp
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Hammersmith Hospital, Imperial College London, London W12 0NN, UK.,Care Research & Technology Centre, UK Dementia Research Institute, London W12 0BZ, UK.,The Royal British Legion Centre for Blast Injury Studies, Imperial College London SW7 2AZ, UK
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12
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Oehr LE, Yang JYM, Chen J, Maller JJ, Seal ML, Anderson JFI. Investigating White Matter Tract Microstructural Changes at Six-Twelve Weeks following Mild Traumatic Brain Injury: A Combined Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging Study. J Neurotrauma 2021; 38:2255-2263. [PMID: 33307950 DOI: 10.1089/neu.2020.7310] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Using diffusion-weighted imaging (DWI), research has demonstrated changes suggestive of damage to white matter tracts (WMT) following mild traumatic brain injury (mTBI). Yet due to the predominant use of the diffusion tensor imaging (DTI) model, which has numerous well-established limitations, it has not yet been possible to clearly examine the nature of changes to WMT microstructure following mTBI. This study used a second DWI-based technique, neurite orientation dispersion and density imaging (NODDI), in combination with DTI to measure microstructural changes within the corpus callosum, three long association and one projection WMTs at 6-12 weeks following mTBI, compared with matched trauma controls (TC). Between-groups differences were identified across all WMT for the DTI metric fractional anisotropy (FA), and the NODDI metrics orientation dispersion index (ODI) and isotropic volume fraction (ISO). No statistically significant between-groups differences were found for other DTI and NODDI metrics. Our study revealed that reduced FA was accompanied by increased ODI, suggesting that mTBI results in reduced coherence of axonal fiber bundles within the studied WMTs. These between-groups differences in WMT microstructure were found at 6-12 weeks post-injury, which suggests that structural recovery is not yet complete towards end of the typical 3-month recovery period.
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Affiliation(s)
- Lucy E Oehr
- Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia
| | - Joseph Yuan-Mou Yang
- Department of Neuroscience Research, Murdoch Childrens Research Institute, Melbourne, Victoria, Australia
- Department of Developmental Imaging, Murdoch Childrens Research Institute, Melbourne, Victoria, Australia
- Department of Neurosurgery, Royal Children's Hospital, Melbourne, Victoria, Australia
- Department of Pediatrics, University of Melbourne, Victoria, Australia
| | - Jian Chen
- Department of Developmental Imaging, Murdoch Childrens Research Institute, Melbourne, Victoria, Australia
| | - Jerome J Maller
- General Electric Healthcare, Melbourne, Victoria, Australia
- Monash Alfred Psychiatry Research Center, Melbourne, Victoria, Australia
| | - Marc L Seal
- Department of Developmental Imaging, Murdoch Childrens Research Institute, Melbourne, Victoria, Australia
| | - Jacqueline F I Anderson
- Melbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia
- Department of Psychology, Alfred Hospital, Melbourne, Victoria, Australia
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13
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Hanlon FM, Dodd AB, Ling JM, Shaff NA, Stephenson DD, Bustillo JR, Stromberg SF, Lin DS, Ryman SG, Mayer AR. The clinical relevance of gray matter atrophy and microstructural brain changes across the psychosis continuum. Schizophr Res 2021; 229:12-21. [PMID: 33607607 PMCID: PMC8137524 DOI: 10.1016/j.schres.2021.01.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 12/30/2020] [Accepted: 01/23/2021] [Indexed: 12/21/2022]
Abstract
Patients with psychotic spectrum disorders (PSD) exhibit similar patterns of atrophy and microstructural changes that may be associated with common symptomatology (e.g., symptom burden and/or cognitive impairment). Gray matter concentration values (proxy for atrophy), fractional anisotropy (FA), mean diffusivity (MD), intracellular neurite density (Vic) and isotropic diffusion volume (Viso) measures were therefore compared in 150 PSD (schizophrenia, schizoaffective disorder, and bipolar disorder Type I) and 63 healthy controls (HC). Additional analyses evaluated whether regions showing atrophy and/or microstructure abnormalities were better explained by DSM diagnoses, symptom burden or cognitive dysfunction. PSD exhibited increased atrophy within bilateral medial temporal lobes and subcortical structures. Gray matter along the left lateral sulcus showed evidence of increased atrophy and MD. Increased MD was also observed in homotopic fronto-temporal regions, suggesting it may serve as a precursor to atrophic changes. Global cognitive dysfunction, rather than DSM diagnoses or psychotic symptom burden, was the best predictor of increased gray matter MD. Regions of decreased FA (i.e., left frontal gray and white matter) and Vic (i.e., frontal and temporal regions and along central sulcus) were also observed for PSD, but were neither spatially concurrent with atrophic regions nor associated with clinical symptoms. Evidence of expanding microstructural spaces in gray matter demonstrated the greatest spatial overlap with current and potentially future regions of atrophy, and was associated with cognitive deficits. These results suggest that this particular structural abnormality could potentially underlie global cognitive impairment that spans traditional diagnostic categories.
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Affiliation(s)
- Faith M Hanlon
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA
| | - Andrew B Dodd
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA
| | - Josef M Ling
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA
| | - Nicholas A Shaff
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA
| | - David D Stephenson
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA
| | - Juan R Bustillo
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA
| | - Shannon F Stromberg
- Psychiatry and Behavioral Health Clinical Program, Presbyterian Healthcare System, Albuquerque, NM 87112, USA
| | - Denise S Lin
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA
| | - Sephira G Ryman
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA
| | - Andrew R Mayer
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA; Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA; Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA; Department of Neurology, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
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14
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Caron B, Stuck R, McPherson B, Bullock D, Kitchell L, Faskowitz J, Kellar D, Cheng H, Newman S, Port N, Pestilli F. Collegiate athlete brain data for white matter mapping and network neuroscience. Sci Data 2021; 8:56. [PMID: 33574337 PMCID: PMC7878753 DOI: 10.1038/s41597-021-00823-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 12/14/2020] [Indexed: 12/13/2022] Open
Abstract
We describe a dataset of processed data with associated reproducible preprocessing pipeline collected from two collegiate athlete groups and one non-athlete group. The dataset shares minimally processed diffusion-weighted magnetic resonance imaging (dMRI) data, three models of the diffusion signal in the voxel, full-brain tractograms, segmentation of the major white matter tracts as well as structural connectivity matrices. There is currently a paucity of similar datasets openly shared. Furthermore, major challenges are associated with collecting this type of data. The data and derivatives shared here can be used as a reference to study the effects of long-term exposure to collegiate athletics, such as the effects of repetitive head impacts. We use advanced anatomical and dMRI data processing methods publicly available as reproducible web services at brainlife.io.
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Affiliation(s)
- Bradley Caron
- Program in Neuroscience, Indiana University, 702 North Walnut Grove St, Bloomington, IN, 47405, USA
- School of Optometry, Indiana University, 800 E. Atwater Avenue, Bloomington, IN, 47405, USA
| | - Ricardo Stuck
- Program in Neuroscience, Indiana University, 702 North Walnut Grove St, Bloomington, IN, 47405, USA
| | - Brent McPherson
- Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA
| | - Daniel Bullock
- Program in Neuroscience, Indiana University, 702 North Walnut Grove St, Bloomington, IN, 47405, USA
- Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA
| | - Lindsey Kitchell
- Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA
- Program in Cognitive Science, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA
| | - Joshua Faskowitz
- Program in Neuroscience, Indiana University, 702 North Walnut Grove St, Bloomington, IN, 47405, USA
- Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA
| | - Derek Kellar
- Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA
| | - Hu Cheng
- Program in Neuroscience, Indiana University, 702 North Walnut Grove St, Bloomington, IN, 47405, USA
- Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA
| | - Sharlene Newman
- Program in Neuroscience, Indiana University, 702 North Walnut Grove St, Bloomington, IN, 47405, USA
- Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA
- Alabama Life Research Institute, The University of Alabama, 1402E Northeast Medical Building, Box 870328, Tuscaloosa, AL, USA
| | - Nicholas Port
- Program in Neuroscience, Indiana University, 702 North Walnut Grove St, Bloomington, IN, 47405, USA
- School of Optometry, Indiana University, 800 E. Atwater Avenue, Bloomington, IN, 47405, USA
- Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA
- Program in Cognitive Science, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA
| | - Franco Pestilli
- Program in Neuroscience, Indiana University, 702 North Walnut Grove St, Bloomington, IN, 47405, USA.
- School of Optometry, Indiana University, 800 E. Atwater Avenue, Bloomington, IN, 47405, USA.
- Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA.
- Program in Cognitive Science, Indiana University, 1101 East 10th Street, Bloomington, IN, 47405, USA.
- Department of Computer Science, School of Informatics, Indiana University, 700 North Woodlawn Avenue, Bloomington, IN, 47408, USA.
- Department of Intelligent Systems Engineering, School of Informatics, Indiana University, 700 North Woodlawn Avenue, Bloomington, IN, 47408, USA.
- Department of Psychology, The University of Texas at Austin, 108 E Dean Keeton St, Austin, TX, 78712, USA.
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15
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Kamiya K, Hori M, Aoki S. NODDI in clinical research. J Neurosci Methods 2020; 346:108908. [PMID: 32814118 DOI: 10.1016/j.jneumeth.2020.108908] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 08/08/2020] [Accepted: 08/09/2020] [Indexed: 12/11/2022]
Abstract
Diffusion MRI (dMRI) has proven to be a useful imaging approach for both clinical diagnosis and research investigating the microstructures of nervous tissues, and it has helped us to better understand the neurophysiological mechanisms of many diseases. Though diffusion tensor imaging (DTI) has long been the default tool to analyze dMRI data in clinical research, acquisition with stronger diffusion weightings beyond the DTI regimen is now possible with modern clinical scanners, potentially enabling even more detailed characterization of tissue microstructures. To take advantage of such data, neurite orientation dispersion and density imaging (NODDI) has been proposed as a way to relate the dMRI signal to tissue features via biophysically inspired modeling. The number of reports demonstrating the potential clinical utility of NODDI is rapidly increasing. At the same time, the pitfalls and limitations of NODDI, and general challenges in microstructure modeling, are becoming increasingly recognized by clinicians. dMRI microstructure modeling is a rapidly evolving field with great promise, where people from different scientific backgrounds, such as physics, medicine, biology, neuroscience, and statistics, are collaborating to build novel tools that contribute to improving human healthcare. Here, we review the applications of NODDI in clinical research and discuss future perspectives for investigations toward the implementation of dMRI microstructure imaging in clinical practice.
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Affiliation(s)
- Kouhei Kamiya
- Department of Radiology, The University of Tokyo, Tokyo, Japan; Department of Radiology, Juntendo University, Tokyo, Japan; Department of Radiology, Toho University, Tokyo, Japan.
| | - Masaaki Hori
- Department of Radiology, Juntendo University, Tokyo, Japan; Department of Radiology, Toho University, Tokyo, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University, Tokyo, Japan
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16
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Gazdzinski LM, Mellerup M, Wang T, Adel SAA, Lerch JP, Sled JG, Nieman BJ, Wheeler AL. White Matter Changes Caused by Mild Traumatic Brain Injury in Mice Evaluated Using Neurite Orientation Dispersion and Density Imaging. J Neurotrauma 2020; 37:1818-1828. [PMID: 32242488 DOI: 10.1089/neu.2020.6992] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Mild traumatic brain injury (mTBI) is common and can lead to persistent cognitive and behavioral symptoms. Although diffusion tensor imaging (DTI) has demonstrated some sensitivity to changes in white matter following mTBI, recent studies have suggested that more complex geometric models of diffusion, including the neurite orientation dispersion and density imaging (NODDI) model, may be more sensitive and specific. Here, we evaluate microstructural changes in white matter following mTBI using DTI and NODDI in a mouse model, and compare the time course of these changes to behavioral impairment and recovery. We also assess volumetric changes for a comprehensive picture of the structural alterations in the brain and histological staining to identify cellular changes that may contribute to the differences detected in the imaging data. Increased orientation dispersion index (ODI) was observed in the optic tracts of mTBI mice compared with shams. Changes in fractional anisotropy (FA) were not statistically significant. Volume deficits were detected in the optic tract as well as in several gray matter regions: the lateral geniculate nuclei of the thalamus, the entorhinal cortex, and the superior colliculi. Glial fibrillary acidic protein (GFAP) and ionized calcium binding adaptor molecule 1 (Iba1) staining was increased in the optic tracts of mTBI brains, and this staining correlated with ODI values. A transient impairment in working memory was observed, which resolved by 6 weeks, whereas increased ODI, GFAP, and Iba1 persisted to 18 weeks post-injury. We conclude that the optic tracts are particularly vulnerable to damage from the closed-skull impact model used in this study, and that ODI may be a more sensitive metric to this damage than FA. Differences in ODI and in histological measures of astrogliosis, neuroinflammation, and axonal degeneration persist beyond behavioral impairment in this model.
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Affiliation(s)
- Lisa M Gazdzinski
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Miranda Mellerup
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Physiology and University of Toronto, Toronto, Ontario, Canada
| | - Tong Wang
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Physiology and University of Toronto, Toronto, Ontario, Canada
| | - Seyed Amir Ali Adel
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Physiology and University of Toronto, Toronto, Ontario, Canada
| | - Jason P Lerch
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Wellcome Centre for Integrative Neuroimaging, Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - John G Sled
- Translational Medicine, Hospital for Sick Children, Toronto, Ontario, Canada.,Mouse Imaging Centre at The Centre for Phenogenomics, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Brian J Nieman
- Translational Medicine, Hospital for Sick Children, Toronto, Ontario, Canada.,Mouse Imaging Centre at The Centre for Phenogenomics, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Anne L Wheeler
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Physiology and University of Toronto, Toronto, Ontario, Canada
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17
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Hellewell SC, Nguyen VPB, Jayasena RN, Welton T, Grieve SM. Characteristic patterns of white matter tract injury in sport-related concussion: An image based meta-analysis. Neuroimage Clin 2020; 26:102253. [PMID: 32278315 PMCID: PMC7152675 DOI: 10.1016/j.nicl.2020.102253] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 02/21/2020] [Accepted: 03/20/2020] [Indexed: 12/16/2022]
Abstract
Sports-related concussion (SRC) is sustained by millions of people per year, yet the spatiotemporal patterns of white matter (WM) injury remain poorly understood. Several SRC studies have implemented the standardised approach Tract-Based Spatial Statistics (TBSS). The aim of this image-based meta-analysis was to identify consensus patterns of SRC-related WM injury across TBSS studies. We included studies comparing the diffusion MRI measurement fractional anisotropy (FA) in SRC or subconcussive injury vs. controls using TBSS, as FA is the most frequently examined diffusion tensor imaging metric. Authors of eligible studies were contacted to request unthresholded statistical map outputs from TBSS, and image-based meta-analyses were performed using Seed-Based d-Mapping. Eight studies contributed to our meta-analyses, comprising 174 SRC or subconcussive injury participants and 160 controls. Our primary meta-analysis (n = 8), encompassing subjects with acute SRC (n = 2), chronic SRC (n = 4) and subconcussive injuries (n = 2) revealed dominant bilateral increased FA in the superior longitudinal fasciculus (SLF) and internal capsule. Subconcussive injury was associated with small clusters of increased and decreased FA in the arcuate fasciculus compared to control. In acute SRC, we found diffuse foci of raised FA at WM/grey matter border-zone associated with the bilateral SLF and right inferior fronto-occipital fasciculus. In contrast, chronic SRC had a pattern of deep WM alteration, asymmetrically located in the right optic radiations and arcuate fasciculus. Our findings represent the most powerful analysis of TBSS data in SRC, supporting the use of this approach to analyse diffusion data. TBSS is sensitive to WM abnormalities resulting from SRC or subconcussive injury over a range of temporal and clinical scenarios. Our data show spatially concordant patterns of WM injury unique to subconcussive, acute and chronic phases, highlighting the future utility of diffusion MRI for concussion diagnosis.
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Affiliation(s)
- Sarah C Hellewell
- Sydney Translational Imaging Laboratory, Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Vy P B Nguyen
- Sydney Translational Imaging Laboratory, Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Ruchira N Jayasena
- Sydney Translational Imaging Laboratory, Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Thomas Welton
- Sydney Translational Imaging Laboratory, Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Stuart M Grieve
- Sydney Translational Imaging Laboratory, Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia; Department of Radiology, Royal Prince Alfred Hospital, Camperdown, Sydney, NSW, Australia.
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18
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Warnock A, Toomey LM, Wright AJ, Fisher K, Won Y, Anyaegbu C, Fitzgerald M. Damage Mechanisms to Oligodendrocytes and White Matter in Central Nervous System Injury: The Australian Context. J Neurotrauma 2020; 37:739-769. [DOI: 10.1089/neu.2019.6890] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Andrew Warnock
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Lillian M. Toomey
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
| | - Alexander J. Wright
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Katherine Fisher
- School of Human Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Yerim Won
- School of Human Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Chidozie Anyaegbu
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
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19
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Sparks P, Lawrence T, Hinze S. Neuroimaging in the Diagnosis of Chronic Traumatic Encephalopathy: A Systematic Review. Clin J Sport Med 2020; 30 Suppl 1:S1-S10. [PMID: 32132472 DOI: 10.1097/jsm.0000000000000541] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Chronic traumatic encephalopathy (CTE) is a neurodegenerative tauopathy associated with repeated subconcussive and concussive head injury. Clinical features include cognitive, behavioral, mood, and motor impairments. Definitive diagnosis is only possible at postmortem. Here, the utility of neuroimaging in the diagnosis of CTE is evaluated by systematically reviewing recent evidence for changes in neuroimaging biomarkers in suspected cases of CTE compared with controls. DATA SOURCES Providing an update on a previous systematic review of articles published until December 2014, we searched for articles published between December 2014 and July 2016. We searched PubMed for studies assessing neuroimaging changes in symptomatic suspected cases of CTE with a history of repeated subconcussive or concussive head injury or participation in contact sports involving direct impact to the head. Exclusion criteria were case studies, review articles, and articles focusing on repetitive head trauma from military service, head banging, epilepsy, physical abuse, or animal models. MAIN RESULTS Seven articles met the review criteria, almost all of which studied professional athletes. The range of modalities were categorized into structural magnetic resonance imaging (MRI), diffusion MRI, and radionuclide studies. Biomarkers which differed significantly between suspected CTE and controls were Evans index (P = 0.05), cavum septum pellucidum (CSP) rate (P < 0.0006), length (P < 0.03) and ratio of CSP length to septum length (P < 0.03), regional differences in axial diffusivity (P < 0.05) and free/intracellular water fractions (P < 0.005), single-photon emission computed tomography perfusion abnormalities (P < 0.01), positron emission tomography (PET) signals from tau-binding, glucose-binding, and GABA receptor-binding radionuclides (P < 0.0001, P < 0.005, and P < 0.005, respectively). Important limitations include low specificity in identification of suspected cases of CTE across studies, the need for postmortem validation, and a lack of generalizability to nonprofessional athletes. CONCLUSIONS The most promising biomarker is tau-binding radionuclide PET signal because it is most specific to the underlying neuropathology and differentiated CTE from both controls and patients with Alzheimer disease (P < 0.0001). Multimodal imaging will improve specificity further. Future research should minimize variability in identification of suspected cases of CTE using published clinical criteria.
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20
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Microstructural characterization of corticospinal tract in subacute and chronic stroke patients with distal lesions by means of advanced diffusion MRI. Neuroradiology 2019; 61:1033-1045. [PMID: 31263922 PMCID: PMC6689031 DOI: 10.1007/s00234-019-02249-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 06/18/2019] [Indexed: 12/11/2022]
Abstract
PURPOSE The aim of the paper is to evaluate if advanced dMRI techniques, including diffusion kurtosis imaging (DKI) and neurite orientation dispersion and density imaging (NODDI), could provide novel insights into the subtle microarchitectural modifications occurring in the corticospinal tract (CST) of stroke patients in subacute and chronic phases. METHODS Seventeen subjects (age 68 ± 11 years) in the subacute phase (14 ± 3 days post-stroke), 10 of whom rescanned in the chronic phase (231 ± 36 days post-stroke), were enrolled. Images were acquired using a 3-T MRI scanner with a two-shell EPI protocol (20 gradient directions, b = 700 s/mm2, 3 b = 0; 64 gradient directions, b = 2000 s/mm2, 9 b = 0). DTI-, DKI-, and NODDI-derived parameters were calculated in the posterior limb of the internal capsule (PLIC) and in the cerebral peduncle (CP). RESULTS In the subacute phase, a reduction of FA, AD, and KA values was correlated with an increase of ODI, RD, and AK parameters, in both the ipsilesional PLIC and CP, suggesting that increased fiber dispersion can be the main structural factor. In the chronic phase, a reduction of FA and an increase of ODI persisted in the ipsilesional areas. This was associated with reduced Fic and increased MD, with a concomitant reduction of MK and increase of RD, suggesting that fiber reduction, possibly due to nerve degeneration, could play an important role. CONCLUSIONS This study shows that advanced dMRI approaches can help elucidate the underpinning architectural modifications occurring in the CST after stroke. Further follow-up studies on bigger cohorts are needed to evaluate if DKI- and NODDI-derived parameters might be proposed as complementary biomarkers of brain microstructural alterations.
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21
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Churchill NW, Caverzasi E, Graham SJ, Hutchison MG, Schweizer TA. White matter during concussion recovery: Comparing diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Hum Brain Mapp 2019; 40:1908-1918. [PMID: 30585674 PMCID: PMC6865569 DOI: 10.1002/hbm.24500] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Revised: 12/05/2018] [Accepted: 12/09/2018] [Indexed: 12/25/2022] Open
Abstract
Concussion pathophysiology in humans remains incompletely understood. Diffusion tensor imaging (DTI) has identified microstructural abnormalities in otherwise normal appearing brain tissue, using measures of fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD). The results of prior DTI studies suggest that acute alterations in microstructure persist beyond medical clearance to return to play (RTP), but these measures lack specificity. To better understand the observed effects, this study combined DTI with neurite orientation dispersion and density imaging (NODDI), which employs a more sophisticated description of water diffusion in the brain. A total of 66 athletes were recruited, including 33 concussed athletes, scanned within 7 days after concussion and at RTP, along with 33 matched controls. Both univariate and multivariate methods identified DTI and NODDI parameters showing effects of concussion on white matter. Spatially extensive decreases in FA and increases in AD and RD were associated with reduced intra-neurite water volume, at both the symptomatic phase of injury and RTP, indicating that effects persist beyond medical clearance. Subsequent analyses also demonstrated that concussed athletes with higher symptom burden and a longer recovery time had greater reductions in FA and increased AD, RD, along with increased neurite dispersion. This study provides the first longitudinal evaluation of concussion from acute injury to RTP using combined DTI and NODDI, significantly enhancing our understanding of the effects of concussion on white matter microstructure.
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Affiliation(s)
- Nathan W. Churchill
- Neuroscience Research ProgramSt. Michael's HospitalTorontoOntarioCanada
- Keenan Research Centre of the Li Ka Shing Knowledge Institute at St. Michael's HospitalTorontoOntarioCanada
| | - Eduardo Caverzasi
- Department of NeurologyUniversity of CaliforniaSan FranciscoCalifornia
| | - Simon J. Graham
- Physical Sciences PlatformSunnybrook Research InstituteTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of Toronto Faculty of MedicineTorontoOntarioCanada
| | - Michael G. Hutchison
- Keenan Research Centre of the Li Ka Shing Knowledge Institute at St. Michael's HospitalTorontoOntarioCanada
- Faculty of Kinesiology and Physical EducationUniversity of TorontoTorontoOntarioCanada
| | - Tom A. Schweizer
- Neuroscience Research ProgramSt. Michael's HospitalTorontoOntarioCanada
- Keenan Research Centre of the Li Ka Shing Knowledge Institute at St. Michael's HospitalTorontoOntarioCanada
- Faculty of Medicine (Neurosurgery)University of TorontoTorontoOntarioCanada
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22
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PLP1 and CNTN1 gene variation modulates the microstructure of human white matter in the corpus callosum. Brain Struct Funct 2018; 223:3875-3887. [DOI: 10.1007/s00429-018-1729-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 08/03/2018] [Indexed: 12/27/2022]
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23
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Abstract
Computed tomography (CT) and magnetic resonance imaging (MRI) have revolutionized the assessment of traumatic brain injury (TBI) by permitting rapid detection and localization of acute intracranial injuries. In concussion, the most common presentation of sports-related head trauma, CT and MRI are unrevealing. This normal appearance of the brain on standard neuroimaging, however, belies the structural and functional pathology that underpins concussion-related symptoms and dysfunction. Advances in neuroimaging have expanded our ability to gain insight into this microstructural and functional brain pathology. This chapter will present both conventional and more advanced imaging approaches (e.g., diffusion tensor imaging, magnetization transfer imaging, magnetic resonance spectroscopy, functional MRI, arterial spin labeling, magnetoencephalography) to the assessment of TBI in sports and discuss some of the current and potential future roles of brain imaging in the assessment of injured athletes.
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24
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Edwards LJ, Pine KJ, Ellerbrock I, Weiskopf N, Mohammadi S. NODDI-DTI: Estimating Neurite Orientation and Dispersion Parameters from a Diffusion Tensor in Healthy White Matter. Front Neurosci 2017; 11:720. [PMID: 29326546 PMCID: PMC5742359 DOI: 10.3389/fnins.2017.00720] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 12/11/2017] [Indexed: 11/25/2022] Open
Abstract
The NODDI-DTI signal model is a modification of the NODDI signal model that formally allows interpretation of standard single-shell DTI data in terms of biophysical parameters in healthy human white matter (WM). The NODDI-DTI signal model contains no CSF compartment, restricting application to voxels without CSF partial-volume contamination. This modification allowed derivation of analytical relations between parameters representing axon density and dispersion, and DTI invariants (MD and FA) from the NODDI-DTI signal model. These relations formally allow extraction of biophysical parameters from DTI data. NODDI-DTI parameters were estimated by applying the proposed analytical relations to DTI parameters estimated from the first shell of data, and compared to parameters estimated by fitting the NODDI-DTI model to both shells of data (reference dataset) in the WM of 14 in vivo diffusion datasets recorded with two different protocols, and in simulated data. The first two datasets were also fit to the NODDI-DTI model using only the first shell (as for DTI) of data. NODDI-DTI parameters estimated from DTI, and NODDI-DTI parameters estimated by fitting the model to the first shell of data gave similar errors compared to two-shell NODDI-DTI estimates. The simulations showed the NODDI-DTI method to be more noise-robust than the two-shell fitting procedure. The NODDI-DTI method gave unphysical parameter estimates in a small percentage of voxels, reflecting voxelwise DTI estimation error or NODDI-DTI model invalidity. In the course of evaluating the NODDI-DTI model, it was found that diffusional kurtosis strongly biased DTI-based MD values, and so, making assumptions based on healthy WM, a novel heuristic correction requiring only DTI data was derived and used to mitigate this bias. Since validations were only performed on healthy WM, application to grey matter or pathological WM would require further validation. Our results demonstrate NODDI-DTI to be a promising model and technique to interpret restricted datasets acquired for DTI analysis in healthy white matter with greater biophysical specificity, though its limitations must be borne in mind.
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Affiliation(s)
- Luke J Edwards
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Kerrin J Pine
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Isabel Ellerbrock
- Institute of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Siawoosh Mohammadi
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, London, United Kingdom.,Institute of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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25
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An Examination of Behavioral and Neuronal Effects of Comorbid Traumatic Brain Injury and Alcohol Use. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017; 3:294-302. [PMID: 29486871 DOI: 10.1016/j.bpsc.2017.09.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Accepted: 09/30/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND Chronic alcohol use disorders (AUDs) and traumatic brain injury (TBI) are highly comorbid and share commonly affected neuronal substrates (i.e., prefrontal cortex, limbic system, and cerebellum). However, no studies have examined how combined physical trauma and heavy drinking affect neurocircuitry relative to heavy drinking alone. METHODS The current study investigated whether comorbid AUDs and mild or moderate TBI (AUDs+TBI) would negatively affect maladaptive drinking behaviors (n = 90 AUDs+TBI; n = 62 AUDs) as well as brain structure (i.e., increased atrophy; n = 62 AUDs+TBI; n = 44 AUDs) and function (i.e., activation during gustatory cue reactivity; n = 55 AUDs+TBI; n = 37 AUDs) relative to AUDs alone. RESULTS Participants reported a much higher incidence of trauma (59.2%) compared with the general population. There were no differences in demographic and clinical measures between groups, suggesting that they were well matched. Although maladaptive drinking behaviors tended to be worse for the AUDs+TBI group, effect sizes were small and not statistically significant. Increased alcohol-cue reactivity was observed in bilateral anterior insula and orbitofrontal cortex, anterior cingulate cortex, medial prefrontal cortex, posterior cingulate cortex, dorsal striatum, thalamus, brainstem, and cerebellum across both groups relative to a carefully matched appetitive control. However, there were no significant differences in structural integrity or functional activation between AUDs+TBI and AUDs participants, even when controlling for AUD severity. CONCLUSIONS Current results indicate that a combined history of mild or moderate TBI was not sufficient to alter drinking behaviors and/or underlying neurocircuitry at detectable levels relative to heavy drinking alone. Future studies should examine the potential long-term effects of combined alcohol and trauma on brain functioning.
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26
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Churchill NW, Caverzasi E, Graham SJ, Hutchison MG, Schweizer TA. White matter microstructure in athletes with a history of concussion: Comparing diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Hum Brain Mapp 2017; 38:4201-4211. [PMID: 28556431 DOI: 10.1002/hbm.23658] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2017] [Revised: 05/08/2017] [Accepted: 05/12/2017] [Indexed: 12/22/2022] Open
Abstract
Sport concussion is associated with disturbances in brain function in the absence of gross anatomical lesions, and may have long-term health consequences. Diffusion-weighted magnetic resonance imaging (MRI) methods provide a powerful tool for investigating alterations in white matter microstructure reflecting the long-term effects of concussion. In a previous study, diffusion tensor imaging (DTI) showed that athletes with a history of concussion had elevated fractional anisotropy (FA) and reduced mean diffusivity (MD) parameters. To better understand these effects, this study compared DTI results to neurite orientation dispersion and density imaging (NODDI), which was used to estimate the intracellular volume fraction (VIC ) and orientation dispersion index (ODI). Sixty-eight (68) varsity athletes were recruited, including 37 without a history of concussion and 31 with concussion >6 months prior to imaging. Univariate analyses showed elevated FA and decreased MD for concussed athletes, along with increased VIC and reduced ODI, indicating greater neurite density and coherence of neurite orientation within white matter. Multivariate analyses also showed that for athletes with a history of concussion, white matter regions with increased FA had increased VIC and decreased ODI, with greater effects among athletes who were imaged a longer time since their last concussion. These findings enhance our understanding of the relationship between the biophysics of water diffusion and concussion neurobiology for young, healthy adults. Hum Brain Mapp 38:4201-4211, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Nathan W Churchill
- Neuroscience Research Program, St. Michael's Hospital, Toronto, Ontario, Canada.,Keenan Research Centre for Biomedical Science of St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Eduardo Caverzasi
- Department of Neurology, University of California, San Francisco, California.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Simon J Graham
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada
| | - Michael G Hutchison
- Neuroscience Research Program, St. Michael's Hospital, Toronto, Ontario, Canada.,Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Ontario, Canada
| | - Tom A Schweizer
- Neuroscience Research Program, St. Michael's Hospital, Toronto, Ontario, Canada.,Keenan Research Centre for Biomedical Science of St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.,Faculty of Medicine, Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada
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