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Du D, Zheng T, Wang Z, Chen Y, Wu S, Yang L, Lu J, Liu L. Evaluating the therapeutic effect of LIPUS in the early stage of traumatic brain injury using FA and T2 * in rats. Aging (Albany NY) 2024; 16:206060. [PMID: 39137314 DOI: 10.18632/aging.206060] [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: 01/29/2024] [Accepted: 07/16/2024] [Indexed: 08/15/2024]
Abstract
To evaluate the protective effect of LIPUS at the early stage of brain trauma in rats, 45 rats were randomly divided into 3 groups: sham (n = 15), TBI (n = 15) and LIPUS treatment groups (n = 15). Ipsilateral and contralateral cortical and thalamic parameters obtained by diffusion tensor imaging (DTI) and fast low-angle shot magnetic resonance imaging (FLASH-MRI) were measured at different times after trauma. For fractional anisotropy (FA) and T2* values, two-way repeated measures ANOVA with Tukey's post hoc was used for intergroup comparisons. With observation time prolonged, the FA values of the ipsilateral cortex in the TBI group gradually increased and were significantly higher than those in the LIPUS treatment group on Day 7 (adjusted P = 0.0067). FA values in the contralateral cortex decreased at this time and were significantly lower than those in the LIPUS treatment group (adjusted P = 0.0192). Meanwhile, compared with LIPUS group, FA values were significantly higher in the injured thalamus (adjusted P = 0.0025). Combined with correlation analysis, FA values were positively correlated with neuronal damage (P = 0.0148, r2 = 0.895). At 7 days after trauma, T2* values in the ipsilateral cortex of the TBI group were significantly lower. After analysis of ferritin content and correlation, we found that T2* values were negatively correlated with ferritin (P = 0.0259, r2 = -0.849). By measuring post-traumatic changes in FA and T2* values, it is possible to demonstrate a neuronal protective effect of LIPUS in the early phase of TBI rats and promote brain rehabilitation.
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Affiliation(s)
- Dan Du
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Tao Zheng
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Zhanqiu Wang
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Yansheng Chen
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Shuo Wu
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Linsha Yang
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Jiabin Lu
- Department of Radiology, Peking University Third Hospital, Beijing, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Lanxiang Liu
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
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Bazarian JJ, Abar B, Merchant-Borna K, Pham DL, Rozen E, Mannix R, Kawata K, Chou Y, Stephen S, Gill JM. A Pilot Study Investigating the Use of Serum Glial Fibrillary Acidic Protein to Monitor Changes in Brain White Matter Integrity After Repetitive Head Hits During a Single Collegiate Football Game. J Neurotrauma 2024; 41:1597-1608. [PMID: 38753702 DOI: 10.1089/neu.2023.0307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024] Open
Abstract
Repetitive head hits (RHHs) in sports and military settings are increasingly recognized as a risk factor for adverse neurological outcomes, but they are not currently tracked. Blood-based biomarkers of concussion have recently been shown to increase after nonconcussive RHHs during a single sporting contest, raising the possibility that they could be used in real time to monitor the brain's early response to repeated asymptomatic head hits. To test this hypothesis, we measured GFAP in serum immediately before (T0), immediately after (T1) and 45 min (T2) after a single collegiate football game in 30 athletes. Glial fibrillary acidic protein (GFAP) changes were correlated with three measures of head impact exposure (number of hits, total linear acceleration, and total rotational acceleration captured by helmet impact sensors) and to changes in brain white matter (WM) integrity, estimated by regional changes in fractional anisotropy (FA) and mean diffusivity (MD) on diffusion tensor imaging from 24 h before (T1) to 48 h after (T3) the game. To account for the potentially confounding effects of physical exertion on GFAP, correlations were adjusted for kilocalories of energy expended during the game measured by wearable body sensors. All 30 participants were male with a mean age of 19.5 ± 1.2 years. No participant had a concussion during the index game. We observed a significant increase in GFAP from T0 to T1 (mean 79.69 vs. 91.95 pg/mL, p = 0.008) and from T0 to T2 (mean 79.69 vs. 99.21 pg/mL, p < 0.001). WM integrity decreased in multiple WM regions but was statistically significant in the right fornix (mean % FA change -1.43, 95% confidence interval [CI]: -2.20, -0.66). T0 to T2 increases in GFAP correlated with reduced FA in the left fornix, right fornix, and right medical meniscus and with increased MD in the right fornix (r-values ranged from 0.59 to 0.61). Adjustment for exertion had minimal effect on these correlations. GFAP changes did not correlate to head hit exposure, but after adjustment for exertion, T0 to T2 increases correlated with all three hit metrics (r-values ranged from 0.69 to 0.74). Thus, acute elevations in GFAP after a single collegiate football game of RHHs correlated with in-game head hit exposure and with reduced WM integrity 2 days later. These results suggest that GFAP may be a biologically relevant indicator of the brain's early response to RHHs during a single sporting event. Developing tools to measure the neurological response to RHHs on an individual level has the potential to provide insight into the heterogeneity in adverse outcomes after RHH exposure and for developing effective and personalized countermeasures. Owing to the small sample size, these findings should be considered preliminary; validation in a larger, independent cohort is necessary.
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Affiliation(s)
- Jeffrey J Bazarian
- Department of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Beau Abar
- Department of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Kian Merchant-Borna
- Department of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Dzung L Pham
- Center for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland, USA
| | - Eric Rozen
- Department of Athletics and Recreation, University of Rochester, Rochester, New York, USA
| | - Rebekah Mannix
- Departments of Pediatrics and Emergency Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Keisuke Kawata
- Department of Kinesiology, Indiana University, Bloomington, Indiana, USA
| | - Yiyu Chou
- Center for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland, USA
| | - Steve Stephen
- University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Jessica M Gill
- Johns Hopkins School of Nursing and Medicine, Baltimore, Maryland, USA
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Frank D, Gruenbaum BF, Zvenigorodsky V, Shelef I, Oleshko A, Matalon F, Tsafarov B, Zlotnik A, Frenkel A, Boyko M. Establishing a 3-Tesla Magnetic Resonance Imaging Method for Assessing Diffuse Axonal Brain Injury in Rats. Int J Mol Sci 2024; 25:4234. [PMID: 38673818 PMCID: PMC11050572 DOI: 10.3390/ijms25084234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/08/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
Traumatic brain injury (TBI) significantly contributes to death and disability worldwide. However, treatment options remain limited. Here, we focus on a specific pathology of TBI, diffuse axonal brain injury (DABI), which describes the process of the tearing of nerve fibers in the brain after blunt injury. Most protocols to study DABI do not incorporate a specific model for that type of pathology, limiting their ability to identify mechanisms and comorbidities of DABI. In this study, we developed a magnetic resonance imaging (MRI) protocol for DABI in a rat model using a 3-T clinical scanner. We compared the neuroimaging outcomes with histologic and neurologic assessments. In a sample size of 10 rats in the sham group and 10 rats in the DABI group, we established neurological severity scores before the intervention and at 48 h following DABI induction. After the neurological evaluation after DABI, all rats underwent MRI scans and were subsequently euthanized for histological evaluation. As expected, the neurological assessment showed a high sensitivity for DABI lesions indicated using the β-APP marker. Surprisingly, however, we found that the MRI method had greater sensitivity in assessing DABI lesions compared to histological methods. Out of the five MRI parameters with pathological changes in the DABI model, we found significant changes compared to sham rats in three parameters, and, as shown using comparative tests with other models, MRI was the most sensitive parameter, being even more sensitive than histology. We anticipate that this DABI protocol will have a significant impact on future TBI and DABI studies, advancing research on treatments specifically targeted towards improving patient quality of life and long-term outcomes.
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Affiliation(s)
- Dmitry Frank
- Department of Anesthesiology and Critical Care, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva 84101, Israel; (D.F.)
| | - Benjamin F. Gruenbaum
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Vladislav Zvenigorodsky
- Department of Radiology, Soroka University Medical Center and the Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84101, Israel; (V.Z.); (I.S.)
| | - Ilan Shelef
- Department of Radiology, Soroka University Medical Center and the Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84101, Israel; (V.Z.); (I.S.)
| | - Anna Oleshko
- Department of Biology and Methods of Teaching Biology, A. S. Makarenko Sumy State Pedagogical University, 40002 Sumy, Ukraine
| | - Frederic Matalon
- Department of Anesthesiology and Critical Care, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva 84101, Israel; (D.F.)
| | - Beatris Tsafarov
- Department of Histology, Soroka University Medical Center and the Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84101, Israel
| | - Alexander Zlotnik
- Department of Anesthesiology and Critical Care, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva 84101, Israel; (D.F.)
| | - Amit Frenkel
- Department of Emergency Medicine Recanati School for Community Health Professions, Ben-Gurion University of the Negev, Beer-Sheva 84101, Israel;
| | - Matthew Boyko
- Department of Anesthesiology and Critical Care, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva 84101, Israel; (D.F.)
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Mohammadi M, Banisharif S, Moradi F, Zamanian M, Tanzifi G, Ghaderi S. Brain diffusion MRI biomarkers after oncology treatments. Rep Pract Oncol Radiother 2024; 28:823-834. [PMID: 38515826 PMCID: PMC10954263 DOI: 10.5603/rpor.98728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 12/04/2023] [Indexed: 03/23/2024] Open
Abstract
In addition to providing a measurement of the tumor's size and dimensions, magnetic resonance imaging (MRI) provides excellent noninvasive radiographic detection of tumor location. The MRI technique is an important modality that has been shown to be useful in the prognosis, diagnosis, treatment planning, and evaluation of response and recurrence in solid cancers. Diffusion-weighted imaging (DWI) is an imaging technique that quantifies water mobility. This imaging approach is good for identifying sub-voxel microstructure of tissues, correlates with tumor cellularity, and has been proven to be valuable in the early assessment of cytotoxic treatment for a variety of malignancies. Diffusion tensor imaging (DTI) is an MRI method that assesses the preferred amount of water transport inside tissues. This enables precise measurements of water diffusion, which changes according to the direction of white matter fibers, their density, and myelination. This measurement corresponds to some related variables: fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), axial diffusivity (AD), and others. DTI biomarkers can detect subtle changes in white matter microstructure and integrity following radiation therapy (RT) or chemoradiotherapy, which may have implications for cognitive function and quality of life. In our study, these indices were evaluated after brain chemoradiotherapy.
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Affiliation(s)
- Mahdi Mohammadi
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Shabnam Banisharif
- Department of Medical Physics, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran
| | - Fatemeh Moradi
- Department of Energy Engineering & Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
| | - Maryam Zamanian
- Department of Medical Physics, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran
| | - Ghazal Tanzifi
- Department of Nuclear Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran
| | - Sadegh Ghaderi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Cai LT, Brett BL, Palacios EM, Yuh EL, Bourla I, Wren-Jarvis J, Wang Y, Mac Donald C, Diaz-Arrastia R, Giacino JT, Okonkwo DO, Levin HS, Robertson CS, Temkin N, Markowitz AJ, Manley GT, Stein MB, McCrea MA, Zafonte RD, Nelson LD, Mukherjee P. Emotional Resilience Predicts Preserved White Matter Microstructure Following Mild Traumatic Brain Injury. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:164-175. [PMID: 36152948 PMCID: PMC10065831 DOI: 10.1016/j.bpsc.2022.08.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/12/2022] [Accepted: 08/31/2022] [Indexed: 01/31/2023]
Abstract
BACKGROUND Adult patients with mild traumatic brain injury (mTBI) exhibit distinct phenotypes of emotional and cognitive functioning identified by latent profile analysis of clinical neuropsychological assessments. When discerned early after injury, these latent clinical profiles have been found to improve prediction of long-term outcomes from mTBI. The present study hypothesized that white matter (WM) microstructure is better preserved in an emotionally resilient mTBI phenotype compared with a neuropsychiatrically distressed mTBI phenotype. METHODS The present study used diffusion magnetic resonance imaging to investigate and compare WM microstructure in major association, projection, and commissural tracts between the two phenotypes and over time. Diffusion magnetic resonance images from 172 patients with mTBI were analyzed to compute individual diffusion tensor imaging maps at 2 weeks and 6 months after injury. RESULTS By comparing the diffusion tensor imaging parameters between the two phenotypes at global, regional, and voxel levels, emotionally resilient patients were shown to have higher axial diffusivity compared with neuropsychiatrically distressed patients early after mTBI. Longitudinal analysis revealed greater compromise of WM microstructure in neuropsychiatrically distressed patients, with greater decrease of global axial diffusivity and more widespread decrease of regional axial diffusivity during the first 6 months after injury compared with emotionally resilient patients. CONCLUSIONS These results provide neuroimaging evidence of WM microstructural differences underpinning mTBI phenotypes identified from neuropsychological assessments and show differing longitudinal trajectories of these biological effects. These findings suggest that diffusion magnetic resonance imaging can provide short- and long-term imaging biomarkers of resilience.
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Affiliation(s)
- Lanya T Cai
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Benjamin L Brett
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Eva M Palacios
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Esther L Yuh
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Ioanna Bourla
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Jamie Wren-Jarvis
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Yang Wang
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Christine Mac Donald
- Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Ramon Diaz-Arrastia
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts
| | - David O Okonkwo
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Harvey S Levin
- Department of Physical Medicine & Rehabilitation, Baylor College of Medicine, Houston, Texas
| | | | - Nancy Temkin
- Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Amy J Markowitz
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Geoffrey T Manley
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Murray B Stein
- Department of Psychiatry, University of California, San Diego, San Diego, California
| | - Michael A McCrea
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Ross D Zafonte
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts
| | - Lindsay D Nelson
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin.
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
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Cooper AC, Tchernykh M, Shmuel A, Mendola JD. Diffusion tensor imaging of optic neuropathies: a narrative review. Quant Imaging Med Surg 2024; 14:1086-1107. [PMID: 38223128 PMCID: PMC10784057 DOI: 10.21037/qims-23-779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 11/21/2023] [Indexed: 01/16/2024]
Abstract
Background and Objective Diffusion tensor imaging (DTI) has been implemented in a breadth of scientific investigations of optic neuropathies, though it has yet to be fully adopted for diagnosis or prognosis. This is potentially due to a lack of standardization and weak replication of results. The aim of this investigation was to review DTI results from studies specific to three distinct optic neuropathies in order to probe its current clinical utility. Methods We reviewed the DTI literature specific to primary open-angle glaucoma (POAG), optic neuritis (ON), and traumatic optic neuropathy (TON) by systematically searching the PubMed database on March 1st, 2023. Four distinct DTI metrics are considered: fractional anisotropy (FA), along with mean diffusivity (MD, axial diffusivity (AD), and radial diffusivity (RD). Results from within-group, between-group, and correlational studies were thoroughly assessed. Key Content and Findings POAG studies most consistently report a decrease in FA, especially in the optic radiations, followed in prevalence by an increase in RD and then MD, whilst AD yields conflicting results between studies. It is notable that there is not an equal distribution of investigated DTI metrics, with FA utilized the most, followed by MD, RD, and AD. Studies of ON are similar in that the most consistent findings are specific to FA, RD, and MD. These results are specific to the optic nerve and radiation since only one study measured the intermediary regions. More studies are needed to assess the effect that ON has on the tracts of the visual system. Finally, only three studies assessing DTI of TON have been performed to date, displaying low to moderate replicability of results. To improve the level of agreement between studies assessing each optic neuropathy, an increased level of standardization is recommended. Conclusions Both POAG and ON studies have yielded some prevalent DTI findings, both for contrast and correlation-based assessments. Although the clinical need is high for TON, considering the limitations of the current diagnostic tools, too few studies exist to make confident conclusions. Future use of standardized and longitudinal DTI, along with the foreseen methodological and technical improvements, is warranted to effectively study optic neuropathies.
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Affiliation(s)
- Austin C. Cooper
- McGill Vision Research and Department of Ophthalmology, McGill University, Montréal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Maxim Tchernykh
- McGill Vision Research and Department of Ophthalmology, McGill University, Montréal, QC, Canada
| | - Amir Shmuel
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- Departments of Physiology and Biomedical Engineering, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Janine D. Mendola
- McGill Vision Research and Department of Ophthalmology, McGill University, Montréal, QC, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
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Cheng H, Lan H, Bao Y, Yin L. Application of Magnetic Resonance Diffusion Tensor Imaging in Diagnosis of Lumbosacral Nerve Root Compression. Curr Med Imaging 2024; 20:e120623217889. [PMID: 37309765 DOI: 10.2174/1573405620666230612122725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/14/2023]
Abstract
OBJECTIVE The aim of this study was to assess the value of 3.0T magnetic resonance (MR) Diffusion tensor imaging (DTI) in the diagnosis of lumbosacral nerve root compression. METHODS The radiology reports, and clinical records of 34 patients with nerve root compression caused by lumbar disc herniation or bulging and 21 healthy volunteers who had undergone magnetic resonance imaging (MRI) and DTI scan were retrospectively reviewed. The differences in fractional anisotropy (FA) and apparent diffusion coefficient (ADC) between compressed and non-compressed nerve roots from patients and the normal nerve roots from healthy volunteers were compared. Meanwhile, the nerve root fiber bundles were observed and analyzed. RESULTS The average FA and ADC values of the compressed nerve roots were 0.254 ± 0.307 and 1.892 ± 0.346 10^-3mm2/s, respectively. The average FA and ADC values of the non-compressed nerve roots were 0.377 ± 0.659 and 1.353 ± 0.344 10^-3mm2/s, respectively. The FA value of compressed nerve roots was significantly lower than that of non-compressed nerve roots (P < 0.01). The ADC value of compressed nerve roots was significantly higher than that of non-compressed nerve roots. There were no significant differences between the left and right nerve roots of normal volunteers in FA and ADC values (P > 0.05). The nerve roots at different levels of L3-S1 had significantly different FA and ADC values (P < 0.01). Incomplete fiber bundles with extrusion deformation, displacement or partial defect were observed in the compressed nerve root fiber bundles. The real diagnosis of the clinical situation of the nerve can provide neuroscientists with an important computer tool to help them infer and understand the possible working mechanism from the experimental data of behavior and electrophysiology. CONCLUSION The compressed lumbosacral nerve roots can be accurately localized through 3.0T magnetic resonance DTI, which is instructive for accurate clinical diagnosis and preoperative localization.
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Affiliation(s)
- Haiyan Cheng
- Department of MRI room, Jincheng People's Hospital, No.456, Wenchang East Road, Jincheng City, Shanxi Province 048026, China
| | - Honglin Lan
- Department of MRI room, Jincheng People's Hospital, No.456, Wenchang East Road, Jincheng City, Shanxi Province 048026, China
| | - Yuanyuan Bao
- Department of MRI room, Jincheng People's Hospital, No.456, Wenchang East Road, Jincheng City, Shanxi Province 048026, China
| | - Liqiang Yin
- Department of Orthopedics, Jincheng People's Hospital, No.456, Wenchang East Road, Jincheng City, Shanxi Province 048026, China
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Zampieri C, Leary JB, Shahim P, Damiano D, Ho PS, Pham DL, Chan L. Associations between white matter integrity and postural control in adults with traumatic brain injury. PLoS One 2023; 18:e0288727. [PMID: 38011096 PMCID: PMC10681193 DOI: 10.1371/journal.pone.0288727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 07/03/2023] [Indexed: 11/29/2023] Open
Abstract
Abnormalities of postural sway have been extensively reported in traumatic brain injury (TBI). However, the underlying neural correlates of balance disturbances in TBI remain to be elucidated. Studies in children with TBI have reported associations between the Sensory Organization Test (SOT) and measures of white matter (WM) integrity with diffusion tensor imaging (DTI) in brain areas responsible for multisensory integration. This study seeks to replicate those associations in adults as well as explore relationships between DTI and the Limits of Stability (LOS) Test. Fifty-six participants (43±17 years old) with a history of TBI were tested 30 days to 5 years post-TBI. This study confirmed results in children for associations between the SOT and the medial lemniscus as well as middle cerebellar peduncle, and revealed additional associations with the posterior thalamic radiation. Additionally, this study found significant correlations between abnormal LOS scores and impaired WM integrity in the cingulum, corpus callosum, corticopontine and corticospinal tracts, fronto-occipital fasciculi, longitudinal fasciculi, medial lemniscus, optic tracts and thalamic radiations. Our findings indicate the involvement of a broad range of WM tracts in the control of posture, and demonstrate the impact of TBI on balance via disruptions to WM integrity.
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Affiliation(s)
- Cris Zampieri
- Rehabilitation Medicine Department, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Jacob B. Leary
- Rehabilitation Medicine Department, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Pashtun Shahim
- Rehabilitation Medicine Department, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Diane Damiano
- Rehabilitation Medicine Department, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Pei-Shu Ho
- Rehabilitation Medicine Department, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Dzung L. Pham
- Center for Neuroscience and Regenerative Medicine, The Henry Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland, United States of America
| | - Leighton Chan
- Rehabilitation Medicine Department, National Institutes of Health, Bethesda, Maryland, United States of America
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Bao J, Zhang X, Zhao X. MR imaging and outcome in neonatal HIBD models are correlated with sex: the value of diffusion tensor MR imaging and diffusion kurtosis MR imaging. Front Neurosci 2023; 17:1234049. [PMID: 37790588 PMCID: PMC10543095 DOI: 10.3389/fnins.2023.1234049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 08/30/2023] [Indexed: 10/05/2023] Open
Abstract
Objective Hypoxic-ischemic encephalopathy can lead to lifelong morbidity and premature death in full-term newborns. Here, we aimed to determine the efficacy of diffusion kurtosis (DK) [mean kurtosis (MK)] and diffusion tensor (DT) [fractional anisotropy (FA), mean diffusion (MD), axial diffusion (AD), and radial diffusion (RD)] parameters for the early diagnosis of early brain histopathological changes and the prediction of neurodegenerative events in a full-term neonatal hypoxic-ischemic brain injury (HIBD) rat model. Methods The HIBD model was generated in postnatal day 7 Sprague-Dawley rats to assess the changes in DK and DT parameters in 10 specific brain structural regions involving the gray matter, white matter, and limbic system during acute (12 h) and subacute (3 d and 5 d) phases after hypoxic ischemia (HI), which were validated against histology. Sensory and cognitive parameters were assessed by the open field, novel object recognition, elevated plus maze, and CatWalk tests. Results Repeated-measures ANOVA revealed that specific brain structures showed similar trends to the lesion, and the temporal pattern of MK was substantially more varied than DT parameters, particularly in the deep gray matter. The change rate of MK in the acute phase (12 h) was significantly higher than that of DT parameters. We noted a delayed pseudo-normalization for MK. Additionally, MD, AD, and RD showed more pronounced differences between males and females after HI compared to MK, which was confirmed in behavioral tests. HI females exhibited anxiolytic hyperactivity-like baseline behavior, while the memory ability of HI males was affected in the novel object recognition test. CatWalk assessments revealed chronic deficits in limb gait parameters, particularly the left front paw and right hind paw, as well as poorer performance in HI males than HI females. Conclusions Our results suggested that DK and DT parameters were complementary in the immature brain and provided great value in assessing early tissue microstructural changes and predicting long-term neurobehavioral deficits, highlighting their ability to detect both acute and long-term changes. Thus, the various diffusion coefficient parameters estimated by the DKI model are powerful tools for early HIBD diagnosis and prognosis assessment, thus providing an experimental and theoretical basis for clinical treatment.
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Affiliation(s)
- Jieaoxue Bao
- Department of Imaging, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Xiaoan Zhang
- Department of Imaging, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
| | - Xin Zhao
- Department of Imaging, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Neuroimaging, Zhengzhou, China
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Sanchez-Molano J, Blaya MO, Padgett KR, Moreno WJ, Zhao W, Dietrich WD, Bramlett HM. Multimodal magnetic resonance imaging after experimental moderate and severe traumatic brain injury: A longitudinal correlative assessment of structural and cerebral blood flow changes. PLoS One 2023; 18:e0289786. [PMID: 37549175 PMCID: PMC10406285 DOI: 10.1371/journal.pone.0289786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/25/2023] [Indexed: 08/09/2023] Open
Abstract
Traumatic brain injury (TBI) is a worldwide problem that results in death or disability for millions of people every year. Progressive neurological complications and long-term impairment can significantly disrupt quality of life. We demonstrated the feasibility of multiple magnetic resonance imaging (MRI) modalities to investigate and predict aberrant changes and progressive atrophy of gray and white matter tissue at several acute and chronic time points after moderate and severe parasagittal fluid percussion TBI. T2-weighted imaging, diffusion tensor imaging (DTI), and perfusion weighted imaging (PWI) were performed. Adult Sprague-Dawley rats were imaged sequentially on days 3, 14, and 1, 4, 6, 8, and 12 months following surgery. TBI caused dynamic white and gray matter alterations with significant differences in DTI values and injury-induced alterations in cerebral blood flow (CBF) as measured by PWI. Regional abnormalities after TBI were observed in T2-weighted images that showed hyperintense cortical lesions and significant cerebral atrophy in these hyperintense areas 1 year after TBI. Temporal DTI values indicated significant injury-induced changes in anisotropy in major white matter tracts, the corpus callosum and external capsule, and in gray matter, the hippocampus and cortex, at both early and chronic time points. These alterations were primarily injury-severity dependent with severe TBI exhibiting a greater degree of change relative to uninjured controls. PWI evaluating CBF revealed sustained global reductions in the cortex and in the hippocampus at most time points in an injury-independent manner. We next sought to investigate prognostic correlations across MRI metrics, timepoints, and cerebral pathology, and found that diffusion abnormalities and reductions in CBF significantly correlated with specific vulnerable structures at multiple time points, as well as with the degree of cerebral atrophy observed 1 year after TBI. This study further supports using DTI and PWI as a means of prognostic imaging for progressive structural changes after TBI and emphasizes the progressive nature of TBI damage.
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Affiliation(s)
- Juliana Sanchez-Molano
- Department of Neurological Surgery, The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Meghan O. Blaya
- Department of Neurological Surgery, The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Kyle R. Padgett
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - William J. Moreno
- Department of Neurological Surgery, The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Weizhao Zhao
- Department of Biomedical Engineering, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - W. Dalton Dietrich
- Department of Neurological Surgery, The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Helen M. Bramlett
- Department of Neurological Surgery, The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, Florida, United States of America
- Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, Florida, United States of America
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Wu YC, Wen Q, Thukral R, Yang HC, Gill JM, Gao S, Lane KA, Meier TB, Riggen LD, Harezlak J, Giza CC, Goldman J, Guskiewicz KM, Mihalik JP, LaConte SM, Duma SM, Broglio SP, Saykin AJ, McAllister TW, McCrea MA. Longitudinal Associations Between Blood Biomarkers and White Matter MRI in Sport-Related Concussion: A Study of the NCAA-DoD CARE Consortium. Neurology 2023; 101:e189-e201. [PMID: 37328299 PMCID: PMC10351550 DOI: 10.1212/wnl.0000000000207389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 03/22/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND AND OBJECTIVES To study longitudinal associations between blood-based neural biomarkers (including total tau, neurofilament light [NfL], glial fibrillary acidic protein [GFAP], and ubiquitin C-terminal hydrolase-L1) and white matter neuroimaging biomarkers in collegiate athletes with sport-related concussion (SRC) from 24 hours postinjury to 1 week after return to play. METHODS We analyzed clinical and imaging data of concussed collegiate athletes in the Concussion Assessment, Research, and Education (CARE) Consortium. The CARE participants completed same-day clinical assessments, blood draws, and diffusion tensor imaging (DTI) at 3 time points: 24-48 hours postinjury, point of becoming asymptomatic, and 7 days after return to play. DTI probabilistic tractography was performed for each participant at each time point to render 27 participant-specific major white matter tracts. The microstructural organization of these tracts was characterized by 4 DTI metrics. Mixed-effects models with random intercepts were applied to test whether white matter microstructural abnormalities are associated with the blood-based biomarkers at the same time point. An interaction model was used to test whether the association varies across time points. A lagged model was used to test whether early blood-based biomarkers predict later microstructural changes. RESULTS Data from 77 collegiate athletes were included in the following analyses. Among the 4 blood-based biomarkers, total tau had significant associations with the DTI metrics across the 3 time points. In particular, high tau level was associated with high radial diffusivity (RD) in the right corticospinal tract (β = 0.25, SE = 0.07, p FDR-adjusted = 0.016) and superior thalamic radiation (β = 0.21, SE = 0.07, p FDR-adjusted = 0.042). NfL and GFAP had time-dependent associations with the DTI metrics. NfL showed significant associations only at the asymptomatic time point (|β|s > 0.12, SEs <0.09, psFDR-adjusted < 0.05) and GFAP showed a significant association only at 7 days after return to play (βs > 0.14, SEs <0.06, psFDR-adjusted < 0.05). The p values for the associations of early tau and later RD were not significant after multiple comparison adjustment, but were less than 0.1 in 7 white matter tracts. DISCUSSION This prospective study using data from the CARE Consortium demonstrated that in the early phase of SRC, white matter microstructural integrity detected by DTI neuroimaging was associated with elevated levels of blood-based biomarkers of traumatic brain injury. Total tau in the blood showed the strongest association with white matter microstructural changes.
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Affiliation(s)
- Yu-Chien Wu
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis.
| | - Qiuting Wen
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Rhea Thukral
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Ho-Ching Yang
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Jessica M Gill
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Sujuan Gao
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Kathleen A Lane
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Timothy B Meier
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Larry D Riggen
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Jaroslaw Harezlak
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Christopher C Giza
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Joshua Goldman
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Kevin M Guskiewicz
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Jason P Mihalik
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Stephen M LaConte
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Stefan M Duma
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Steven P Broglio
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Andrew J Saykin
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Thomas Walker McAllister
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
| | - Michael A McCrea
- From the Department of Radiology and Imaging Sciences (Y.-C.W., Q.W., R.T., H.-C.Y., A.J.S.), Indiana University School of Medicine, Indianapolis; School of Nursing (J.M.G.), Johns Hopkins University, Baltimore, MD; Department of Biostatistics and Health Data Science (S.G., K.A.L., L.D.R.), Indiana University School of Medicine, Indianapolis; Department of Neurosurgery (T.B.M., M.A.M.), Medical College of Wisconsin, Milwaukee; Department of Epidemiology and Biostatistics (J.H.), School of Public Health, Indiana University, Bloomington; Department of Neurosurgery (C.C.G.), David Geffen School of Medicine at University of California Los Angeles; Family Medicine (J.G.), Ronald Reagan UCLA Medical Center, UCLA Health-Santa Monica Medical Center; Matthew Gfeller Center (K.M.G., J.P.M.), Department of Exercise and Sport Science, University of North Carolina, Chapel Hill; School of Biomedical Engineering and Sciences (S.M.L., S.M.D.), Wake-Forest and Virginia Tech University, Blacksburg; Michigan Concussion Center (S.P.B.), University of Michigan, Ann Arbor; and Department of Psychiatry (T.W.M.), Indiana University School of Medicine, Indianapolis
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de Souza N, Esopenko C, Jia Y, Parrott JS, Merkley T, Dennis E, Hillary F, Velez C, Cooper D, Kennedy J, Lewis J, York G, Menefee D, McCauley S, Bowles AO, Wilde E, Tate DF. Discriminating Mild Traumatic Brain Injury and Posttraumatic Stress Disorder Using Latent Neuroimaging and Neuropsychological Profiles in Active-Duty Military Service Members. J Head Trauma Rehabil 2023; 38:E254-E266. [PMID: 36602276 PMCID: PMC10264548 DOI: 10.1097/htr.0000000000000848] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
OBJECTIVE Mild traumatic brain injury (mTBI) and posttraumatic stress disorder (PTSD) commonly occur among military Service Members and Veterans and have heterogenous, but also overlapping symptom presentations, which often complicate the diagnoses of underlying impairments and development of effective treatment plans. Thus, we sought to examine whether the combination of whole brain gray matter (GM) and white matter (WM) structural measures with neuropsychological performance can aid in the classification of military personnel with mTBI and PTSD. METHODS Active-Duty US Service Members ( n = 156; 87.8% male) with a history of mTBI, PTSD, combined mTBI+PTSD, or orthopedic injury completed a neuropsychological battery and T1- and diffusion-weighted structural neuroimaging. Cortical, subcortical, ventricular, and WM volumes and whole brain fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) were calculated. Latent profile analyses were performed to determine how the GM and WM indicators, together with neuropsychological indicators, classified individuals. RESULTS For both GM and WM, respectively, a 4-profile model was the best fit. The GM model identified greater ventricular volumes in Service Members with cognitive symptoms, including those with a diagnosis of mTBI, either alone or with PTSD. The WM model identified reduced FA and elevated RD in those with psychological symptoms, including those with PTSD or mTBI and comorbid PTSD. However, contrary to expectation, a global neural signature unique to those with comorbid mTBI and PTSD was not identified. CONCLUSIONS The findings demonstrate that neuropsychological performance alone is more robust in differentiating Active-Duty Service Members with mTBI and PTSD, whereas global neuroimaging measures do not reliably differentiate between these groups.
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Affiliation(s)
- N.L. de Souza
- School of Graduate Studies, Biomedical Sciences, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - C. Esopenko
- Department of Rehabilitation & Movement Sciences, School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - Y. Jia
- Department of Interdisciplinary Studies, School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - J. S. Parrott
- Department of Interdisciplinary Studies, School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ, USA
| | - T.L. Merkley
- Department of Psychology & Neuroscience Center, Brigham Young University, Provo, UT, USA
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - E.L. Dennis
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT
| | - F.G. Hillary
- Department of Psychology, Pennsylvania State University, University Park, PA 16802, United States
- Social Life and Engineering Sciences Imaging Center, University Park, PA 16802, United States
| | - C. Velez
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - D.B. Cooper
- San Antonio VA Polytrauma Rehabilitation Center, San Antonio, TX
- Departments of Rehabilitation Medicine and Psychiatry, UT Health San Antonio, TX
| | - J. Kennedy
- General Dynamics Information Technology (GDIT) contractor for the Traumatic Brain Injury Center of Excellence (TBICoE), Neurology Service, Department of Medicine, Brooke Army Medical Center, Joint Base San Antonio, Fort Sam Houston, TX, USA
| | - J. Lewis
- Neurology Clinic, Wright Patterson Air Force Base, Wright Patterson AFB, Ohio
| | - G. York
- Alaska Radiology Associates, Anchorage, AK
| | - D.S. Menefee
- Michael E. DeBakey VA Medical Center, Houston, TX, USA
- The Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX USA
| | - S.R. McCauley
- Department of Neurology, Baylor College of Medicine, Houston, TX USA
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX USA
| | - A. O. Bowles
- Brain Injury Rehabilitation Service, Department of Rehabilitation Medicine, Brooke Army Medical Center, Joint Base San Antonio, Fort Sam Houston, TX, US
| | - E.A. Wilde
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX USA
| | - D. F. Tate
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT
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13
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Saar-Ashkenazy R, Naparstek S, Dizitzer Y, Zimhoni N, Friedman A, Shelef I, Cohen H, Shalev H, Oxman L, Novack V, Ifergane G. Neuro-psychiatric symptoms in directly and indirectly blast exposed civilian survivors of urban missile attacks. BMC Psychiatry 2023; 23:423. [PMID: 37312064 DOI: 10.1186/s12888-023-04943-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/07/2023] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND Blast-explosion may cause traumatic brain injury (TBI), leading to post-concussion syndrome (PCS). In studies on military personnel, PCS symptoms are highly similar to those occurring in post-traumatic stress disorder (PTSD), questioning the overlap between these syndromes. In the current study we assessed PCS and PTSD in civilians following exposure to rocket attacks. We hypothesized that PCS symptomatology and brain connectivity will be associated with the objective physical exposure, while PTSD symptomatology will be associated with the subjective mental experience. METHODS Two hundred eighty nine residents of explosion sites have participated in the current study. Participants completed self-report of PCS and PTSD. The association between objective and subjective factors of blast and clinical outcomes was assessed using multivariate analysis. White-matter (WM) alterations and cognitive abilities were assessed in a sub-group of participants (n = 46) and non-exposed controls (n = 16). Non-parametric analysis was used to compare connectivity and cognition between the groups. RESULTS Blast-exposed individuals reported higher PTSD and PCS symptomatology. Among exposed individuals, those who were directly exposed to blast, reported higher levels of subjective feeling of danger and presented WM hypoconnectivity. Cognitive abilities did not differ between groups. Several risk factors for the development of PCS and PTSD were identified. CONCLUSIONS Civilians exposed to blast present higher PCS/PTSD symptomatology as well as WM hypoconnectivity. Although symptoms are sub-clinical, they might lead to the future development of a full-blown syndrome and should be considered carefully. The similarities between PCS and PTSD suggest that despite the different etiology, namely, the physical trauma in PCS and the emotional trauma in PTSD, these are not distinct syndromes, but rather represent a combined biopsychological disorder with a wide spectrum of behavioral, emotional, cognitive and neurological symptoms.
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Affiliation(s)
- R Saar-Ashkenazy
- Faculty of Social-Work, Ashkelon Academic College, 12 Ben Tzvi St, PO Box 9071, 78211, Ashkelon, Israel.
- Department of Cognitive-Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
- Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
| | - S Naparstek
- Department of Psychology Ben-Gurion, University of the Negev, Beer-Sheva, Israel
- Department of Psychology, Bar-Ilan University, Ramat Gan, Israel
| | - Y Dizitzer
- Clinical Research Center, Soroka University Medical Center, Beer-Sheva, Israel
| | - N Zimhoni
- Clinical Research Center, Soroka University Medical Center, Beer-Sheva, Israel
| | - A Friedman
- Department of Cognitive-Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Department of Medical Neuroscience, Dalhousie University, Halifax, NS, B3H4R2, Canada
| | - I Shelef
- Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Department of Diagnostic Imaging, Soroka University Medical Center, Beer-Sheva, Israel
| | - H Cohen
- Anxiety and Stress Research Unit, Faculty of Health Sciences, Ministry of Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - H Shalev
- Department of Psychiatry, Soroka University Medical Center, Beer-Sheva, Israel
| | - L Oxman
- Clinical Research Center, Soroka University Medical Center, Beer-Sheva, Israel
| | - V Novack
- Clinical Research Center, Soroka University Medical Center, Beer-Sheva, Israel
| | - G Ifergane
- Department of Neurology, Soroka University Medical Center, Beer-Sheva, Israel
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14
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Ware JB, Sandsmark DK. Imaging Approach to Concussion. Neuroimaging Clin N Am 2023; 33:261-269. [PMID: 36965944 DOI: 10.1016/j.nic.2023.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
Abstract
The acute and long-term neurobiological sequelae of concussion (mild traumatic brain injury [mTBI]) and sub-concussive head trauma have become increasingly apparent in recent decades in part due to neuroimaging research. Although imaging has an established role in the clinical management of mTBI for the identification of intracranial lesions warranting urgent interventions, MR imaging is increasingly employed for the detection of post-traumatic sequelae which carry important prognostic significance. As neuroimaging research continues to elucidate the pathophysiology of TBI underlying prolonged recovery and the development of persistent post-concussive symptoms, there is a strong motivation to translate these techniques into clinical use for improved diagnosis and therapeutic monitoring.
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Affiliation(s)
- Jeffrey B Ware
- Department of Radiology, Neuroradiology Division, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.
| | - Danielle K Sandsmark
- Department of Neurology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
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15
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Mendez Colmenares A, Hefner MB, Calhoun VD, Salerno EA, Fanning J, Gothe NP, McAuley E, Kramer AF, Burzynska AZ. Symmetric data-driven fusion of diffusion tensor MRI: Age differences in white matter. Front Neurol 2023; 14:1094313. [PMID: 37139071 PMCID: PMC10149813 DOI: 10.3389/fneur.2023.1094313] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/24/2023] [Indexed: 05/05/2023] Open
Abstract
In the past 20 years, white matter (WM) microstructure has been studied predominantly using diffusion tensor imaging (DTI). Decreases in fractional anisotropy (FA) and increases in mean (MD) and radial diffusivity (RD) have been consistently reported in healthy aging and neurodegenerative diseases. To date, DTI parameters have been studied individually (e.g., only FA) and separately (i.e., without using the joint information across them). This approach gives limited insights into WM pathology, increases the number of multiple comparisons, and yields inconsistent correlations with cognition. To take full advantage of the information in a DTI dataset, we present the first application of symmetric fusion to study healthy aging WM. This data-driven approach allows simultaneous examination of age differences in all four DTI parameters. We used multiset canonical correlation analysis with joint independent component analysis (mCCA + jICA) in cognitively healthy adults (age 20-33, n = 51 and age 60-79, n = 170). Four-way mCCA + jICA yielded one high-stability modality-shared component with co-variant patterns of age differences in RD and AD in the corpus callosum, internal capsule, and prefrontal WM. The mixing coefficients (or loading parameters) showed correlations with processing speed and fluid abilities that were not detected by unimodal analyses. In sum, mCCA + jICA allows data-driven identification of cognitively relevant multimodal components within the WM. The presented method should be further extended to clinical samples and other MR techniques (e.g., myelin water imaging) to test the potential of mCCA+jICA to discriminate between different WM disease etiologies and improve the diagnostic classification of WM diseases.
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Affiliation(s)
- Andrea Mendez Colmenares
- BRAiN Laboratory, Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO, United States
- Molecular, Cellular and Integrative Neurosciences, Colorado State University, Fort Collins, CO, United States
| | - Michelle B. Hefner
- BRAiN Laboratory, Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO, United States
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA, United States
| | - Elizabeth A. Salerno
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Jason Fanning
- Department of Health and Exercise Sciences, Wake Forest University, Winston-Salem, NC, United States
| | - Neha P. Gothe
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Edward McAuley
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Arthur F. Kramer
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Department of Psychology, Northeastern University, Boston, MA, United States
| | - Agnieszka Z. Burzynska
- BRAiN Laboratory, Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO, United States
- Molecular, Cellular and Integrative Neurosciences, Colorado State University, Fort Collins, CO, United States
- Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO, United States
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16
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Moro F, Lisi I, Tolomeo D, Vegliante G, Pascente R, Mazzone E, Hussain R, Micotti E, Dallmeier J, Pischiutta F, Bianchi E, Chiesa R, Wang KK, Zanier ER. Acute Blood Levels of Neurofilament Light Indicate One-Year White Matter Pathology and Functional Impairment in Repetitive Mild Traumatic Brain Injured Mice. J Neurotrauma 2023. [PMID: 36576018 DOI: 10.1089/neu.2022.0252] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Mild traumatic brain injury (mTBI) mostly causes transient symptoms, but repeated (r)mTBI can lead to neurodegenerative processes. Diagnostic tools to evaluate the presence of ongoing occult neuropathology are lacking. In a mouse model of rmTBI, we investigated MRI and plasma biomarkers of brain damage before chronic functional impairment arose. Anesthetized adult male and female C57BL/6J mice were subjected to rmTBI or a sham procedure. Sensorimotor deficits were evaluated up to 12 months post-injury in SNAP and Neuroscore tests. Cognitive function was assessed in the novel object recognition test at six and 12 months. Diffusion tensor imaging (DTI) and structural magnetic resonance imaging (MRI) were performed at six and 12 months to examine white matter and structural damage. Plasma levels of neurofilament light (NfL) were assessed longitudinally up to 12 months. Brain histopathology was performed at 12 months. Independent groups of mice were used to examine the effects of 2-, 7- and 14-days inter-injury intervals on acute plasma NfL levels and on hyperactivity. Twelve months after an acute transient impairment, sensorimotor functions declined again in rmTBI mice (p < 0.001 vs sham), but not earlier. Similarly, rmTBI mice showed memory impairment at 12 (p < 0.01 vs sham) but not at 6 months. White matter damage examined by DTI was evident in rmTBI mice at both six and 12 months (p < 0.001 vs sham). This was associated with callosal atrophy (p < 0.001 vs sham) evaluated by structural MRI. Plasma NfL at one week was elevated in rmTBI (p < 0.001 vs sham), and its level correlated with callosal atrophy at 12 months (Pearson r = 0.72, p < 0.01). Histopathology showed thinning of the corpus callosum and marked astrogliosis in rmTBI mice. The NfL levels were higher in mice subjected to short (2 days) compared with longer (7 and 14 days) inter-injury intervals (p < 0.05), and this correlated with hyperactivity in mice (Pearson r = 0.50; p < 0.05). These findings show that rmTBI causes white matter pathology detectable by MRI before chronic functional impairment. Early quantification of plasma NfL correlates with the degree of white matter atrophy one year after rmTBI and can serve to monitor the brain's susceptibility to a second mTBI, supporting its potential clinical application to guide the return to practice in sport-related TBI.
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Affiliation(s)
- Federico Moro
- Department of Acute Brain Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Ilaria Lisi
- Department of Acute Brain Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Daniele Tolomeo
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Gloria Vegliante
- Department of Acute Brain Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Rosaria Pascente
- Department of Acute Brain Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Edoardo Mazzone
- Department of Acute Brain Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Riaz Hussain
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Edoardo Micotti
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Julian Dallmeier
- Department of Acute Brain Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.,University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Francesca Pischiutta
- Department of Acute Brain Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Elisa Bianchi
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Roberto Chiesa
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Kevin K Wang
- Program for Neurotrauma, Neuroproteomics & Biomarkers Research, Departments of Emergency Medicine, Psychiatry, Neuroscience and Chemistry, University of Florida, Gainesville, Florida, USA.,Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, North Florida/South Georgia Veterans Health System, Gainesville, Florida, USA
| | - Elisa R Zanier
- Department of Acute Brain Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
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17
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Willis EF, Gillespie ER, Guse K, Zuercher AW, Käsermann F, Ruitenberg MJ, Vukovic J. Intravenous immunoglobulin (IVIG) promotes brain repair and improves cognitive outcomes after traumatic brain injury in a FcγRIIB receptor-dependent manner. Brain Behav Immun 2023; 109:37-50. [PMID: 36581304 DOI: 10.1016/j.bbi.2022.12.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 12/13/2022] [Accepted: 12/23/2022] [Indexed: 12/27/2022] Open
Abstract
Intravenous immunoglobulin (IVIG) is a promising immune-modulatory therapy for limiting harmful inflammation and associated secondary tissue loss in neurotrauma. Here, we show that IVIG therapy attenuates spatial learning and memory deficits following a controlled cortical impact mouse model of traumatic brain injury (TBI). These improvements in cognitive outcomes were associated with increased neuronal survival, an overall reduction in brain tissue loss, and a greater preservation of neural connectivity. Furthermore, we demonstrate that the presence of the main inhibitory FcγRIIB receptor is required for the beneficial effects of IVIG treatment in TBI, with our results simultaneously highlighting the role of this receptor in reducing secondary damage arising from brain injury.
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Affiliation(s)
- Emily F Willis
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Ellen R Gillespie
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Kirsten Guse
- CSL Behring, Research, CSL Biologics Research Center, Bern, Switzerland
| | - Adrian W Zuercher
- CSL Behring, Research, CSL Biologics Research Center, Bern, Switzerland
| | - Fabian Käsermann
- CSL Behring, Research, CSL Biologics Research Center, Bern, Switzerland
| | - Marc J Ruitenberg
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Jana Vukovic
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia; Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.
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18
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Chary K, Manninen E, Claessens J, Ramirez-Manzanares A, Gröhn O, Sierra A. Diffusion MRI approaches for investigating microstructural complexity in a rat model of traumatic brain injury. Sci Rep 2023; 13:2219. [PMID: 36755032 PMCID: PMC9908904 DOI: 10.1038/s41598-023-29010-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 01/30/2023] [Indexed: 02/10/2023] Open
Abstract
Our study explores the potential of conventional and advanced diffusion MRI techniques including diffusion tensor imaging (DTI), and single-shell 3-tissue constrained spherical deconvolution (SS3T-CSD) to investigate complex microstructural changes following severe traumatic brain injury in rats at a chronic phase. Rat brains after sham-operation or lateral fluid percussion (LFP) injury were scanned ex vivo in a 9.4 T scanner. Our region-of-interest-based approach of tensor-, and SS3T-CSD derived fixel-, 3-tissue signal fraction maps were sensitive to changes in both white matter (WM) and grey matter (GM) areas. Tensor-based measures, such as fractional anisotropy (FA) and radial diffusivity (RD), detected more changes in WM and GM areas as compared to fixel-based measures including apparent fiber density (AFD), peak FOD amplitude and primary fiber bundle density, while 3-tissue signal fraction maps revealed distinct changes in WM, GM, and phosphate-buffered saline (PBS) fractions highlighting the complex tissue microstructural alterations post-trauma. Track-weighted imaging demonstrated changes in track morphology including reduced curvature and average pathlength distal from the primary lesion in severe TBI rats. In histological analysis, changes in the diffusion MRI measures could be associated to decreased myelin density, loss of myelinated axons, and increased cellularity, revealing progressive microstructural alterations in these brain areas five months after injury. Overall, this study highlights the use of combined conventional and advanced diffusion MRI measures to obtain more precise insights into the complex tissue microstructural alterations in chronic phase of severe brain injury.
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Affiliation(s)
- Karthik Chary
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Neulaniementie 2, Kuopio, Finland.,Department of Radiology, University of Cambridge, Cambridge, UK
| | - Eppu Manninen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Neulaniementie 2, Kuopio, Finland
| | - Jade Claessens
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Neulaniementie 2, Kuopio, Finland
| | | | - Olli Gröhn
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Neulaniementie 2, Kuopio, Finland
| | - Alejandra Sierra
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Neulaniementie 2, Kuopio, Finland.
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19
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Rapid Prediction and Accurate Location Selection of Mild Traumatic Brain Injury (mTBI) by Using Multiple Parameter Analysis of Diffusion Tensor Imaging (DTI): Integrating Correlational and Clinical Approaches. BIOMED RESEARCH INTERNATIONAL 2023; 2023:7467479. [PMID: 36700239 PMCID: PMC9870681 DOI: 10.1155/2023/7467479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 11/25/2022] [Accepted: 12/23/2022] [Indexed: 01/19/2023]
Abstract
Background Mild traumatic brain injury (mTBI) is a widespread and serious public health problem which also causes physical and psychological suffering to patients and their families and imposes a significant economic burden on society. But it is usually very difficult to detect and provide warning of mTBI in early stage. Therefore, a novel method is urgent for the increasing demands on the accurate and rapid prediction and feature selection of mTBI. Objectives To establish a better idea of the performance of neuroimage biomarker in the acute phase of mTBI, our study adopts diffusion tensor imaging (DTI) which could present the pathophysiological changes of white matter through several parameters noninvasively and combined with behavioral experiments such as intelligence quotient test, memory, executive function, and motion function to find the relationship between DTI abnormal brain regions and behavioral abnormalities. Then, provide new method for rapid prediction and feature selection of mTBI. Methods 77 mTBI patients were admitted to the Emergency and Neurosurgery Departments of the Third Xiangya Hospital of Central South University from August 2019 to July 2021; the patients (41 males and 36 females) suffered mTBI because of car accident (36), assault (11), and fall (30). All the mTBI patients were examined through MRI scan and behavioral psychology test within 3 days after injury. MRI images and behavioral psychology tests were also collected; the correlation between the DTI biomarker and the cognitive psychological outcome was analyzed. A series of integration and computational methods were also used for fusion arithmetic and result analysis. Results Compared with the healthy control group, the patients in the acute stage of mTBI presented lower scores in the digit symbol substitution test (DSST), suggesting that mTBI patients in the acute stage had decline in information processing speed and associative learning. The difference of DTI parameters in acute stage mTBI patients was mainly manifested as increased AD and MD values in multiple brain regions, while RD and FA values have no significant difference. The most significant brain regions were bilateral corticospinal tracts (CST), bilateral posterior internal capsule lentiform nucleus, bilateral superior longitudinal fasciculus, left terminal striae, and left sagittal plane with right posterior thalamic radiation. The Pearson correlation coefficient was significantly positive correlation between AD and MD elevation in the left sagittal layer and the results of DSST and digit span in acute stage mTBI patients. Conclusions The acute phase mTBI patients performed lower score on the DSST than those in the normal control group. This neuropsychological change was associated with increased AD value and MD value in the left sagittal layer, which indicated reduction of information processing speed in mTBI patients in the acute phase. It might be related to abnormal AD value and MD value in the upper longitudinal tract, lower longitudinal tract, lower frontal occipital tract, and sagittal layer. In this study, combined with neuropsychological test and increase of the AD value and MD value in certain brain region, neurosurgeon should pay more attention to the abnormal of the upper longitudinal tract and the patients' information processing speed in the diagnosis and treatment of the acute phase mTBI patients. The study offers a much more secure and integrated method for rapid prediction and feature selection of mTBI, which could have broader clinical approaches and application prospects.
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20
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Pan X, Li J, Li W, Wang H, Durisic N, Li Z, Feng Y, Liu Y, Zhao CX, Wang T. Axons-on-a-chip for mimicking non-disruptive diffuse axonal injury underlying traumatic brain injury. LAB ON A CHIP 2022; 22:4541-4555. [PMID: 36318066 DOI: 10.1039/d2lc00730d] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Diffuse axonal injury (DAI) is the most severe pathological feature of traumatic brain injury (TBI). However, how primary axonal injury is induced by transient mechanical impacts remains unknown, mainly due to the low temporal and spatial resolution of medical imaging approaches. Here we established an axon-on-a-chip (AoC) model for mimicking DAI and monitoring instant cellular responses. Integrating computational fluid dynamics and microfluidic techniques, DAI was induced by injecting a precisely controlled micro-flux in the transverse direction. The clear correlation between the flow speed of injecting flux and the severity of DAI was elucidated. We next used the AoC to investigate the instant intracellular responses underlying DAI and found that the dynamic formation of focal axonal swellings (FAS) accompanied by Ca2+ surge occurs during the flux. Surprisingly, periodic axonal cytoskeleton disruption also occurs rapidly after the flux. These instant injury responses are spatially restricted to the fluxed axon, not affecting the overall viability of the neuron in the acute stage. Compatible with high-resolution live microscopy, the AoC provides a versatile system to identify early mechanisms underlying DAI, offering a platform for screening effective treatments to alleviate TBI.
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Affiliation(s)
- Xiaorong Pan
- The Brain Center, School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Jie Li
- Division of Chemistry and Physical Biology, School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Wei Li
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Haofei Wang
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Nela Durisic
- Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Zhenyu Li
- The Brain Center, School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Yu Feng
- The Brain Center, School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Yifan Liu
- Division of Chemistry and Physical Biology, School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Chun-Xia Zhao
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
- School of Chemical Engineering and Advanced Materials, The University of Adelaide, Adelaide, SA 5005, Australia.
| | - Tong Wang
- The Brain Center, School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
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21
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Nakuci J, McGuire M, Schweser F, Poulsen D, Muldoon SF. Differential Patterns of Change in Brain Connectivity Resulting from Severe Traumatic Brain Injury. Brain Connect 2022; 12:799-811. [PMID: 35302399 PMCID: PMC9805864 DOI: 10.1089/brain.2021.0168] [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: 01/13/2023] Open
Abstract
Background: Traumatic brain injury (TBI) damages white matter tracts, disrupting brain network structure and communication. There exists a wide heterogeneity in the pattern of structural damage associated with injury, as well as a large heterogeneity in behavioral outcomes. However, little is known about the relationship between changes in network connectivity and clinical outcomes. Materials and Methods: We utilize the rat lateral fluid-percussion injury model of severe TBI to study differences in brain connectivity in 8 animals that received the insult and 11 animals that received only a craniectomy. Diffusion tensor imaging is performed 5 weeks after the injury and network theory is used to investigate changes in white matter connectivity. Results: We find that (1) global network measures are not able to distinguish between healthy and injured animals; (2) injury induced alterations predominantly exist in a subset of connections (subnetworks) distributed throughout the brain; and (3) injured animals can be divided into subgroups based on changes in network motifs-measures of local structural connectivity. In addition, alterations in predicted functional connectivity indicate that the subgroups have different propensities to synchronize brain activity, which could relate to the heterogeneity of clinical outcomes. Discussion: These results suggest that network measures can be used to quantify progressive changes in brain connectivity due to injury and differentiate among subpopulations with similar injuries, but different pathological trajectories.
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Affiliation(s)
- Johan Nakuci
- Neuroscience Program, University at Buffalo, SUNY, Buffalo, New York, USA
| | - Matthew McGuire
- Neuroscience Program, University at Buffalo, SUNY, Buffalo, New York, USA
- Department of Neurosurgery, University at Buffalo, SUNY, Buffalo, New York, USA
| | - Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, SUNY, Buffalo, New York, USA
- Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, SUNY, Buffalo, New York, USA
| | - David Poulsen
- Department of Neurosurgery, University at Buffalo, SUNY, Buffalo, New York, USA
| | - Sarah F. Muldoon
- Neuroscience Program, University at Buffalo, SUNY, Buffalo, New York, USA
- Department of Mathematics and CDSE Program, University at Buffalo, SUNY, Buffalo, New York, USA
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22
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Raikes AC, Hernandez GD, Mullins VA, Wang Y, Lopez C, Killgore WDS, Chilton FH, Brinton RD. Effects of docosahexaenoic acid and eicosapentaoic acid supplementation on white matter integrity after repetitive sub-concussive head impacts during American football: Exploratory neuroimaging findings from a pilot RCT. Front Neurol 2022; 13:891531. [PMID: 36188406 PMCID: PMC9521411 DOI: 10.3389/fneur.2022.891531] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 08/29/2022] [Indexed: 11/13/2022] Open
Abstract
Context Repetitive sub-concussive head impacts (RSHIs) are common in American football and result in changes to the microstructural integrity of white matter. Both docosahexaenoic acid (DHA) and eicosapentaoic acid (EPA) supplementation exerted neuroprotective effects against RSHIs in animal models and in a prior study in football players supplemented with DHA alone. Objective Here, we present exploratory neuroimaging outcomes from a randomized controlled trial of DHA + EPA supplementation in American football players. We hypothesized that supplementation would result in less white matter integrity loss on diffusion weighted imaging over the season. Design setting participants We conducted a double-blind placebo-controlled trial in 38 American football players between June 2019 and January 2020. Intervention Participants were randomized to the treatment (2.442 g/day DHA and 1.020 g/day EPA) or placebo group for five times-per-week supplementation for 7 months. Of these, 27 participants were included in the neuroimaging data analysis (n = 16 placebo; n = 11 DHA + EPA). Exploratory outcome measures Changes in white matter integrity were quantified using both voxelwise diffusion kurtosis scalars and deterministic tractography at baseline and end of season. Additional neuroimaging outcomes included changes in regional gray matter volume as well as intra-regional, edge-wise, and network level functional connectivity. Serum neurofilament light (NfL) provided a peripheral biomarker of axonal damage. Results No voxel-wise between-group differences were identified on diffusion tensor metrics. Deterministic tractography using quantitative anisotropy (QA) revealed increased structural connectivity in ascending corticostriatal fibers and decreased connectivity in long association and commissural fibers in the DHA+EPA group compared to the placebo group. Serum NfL increases were correlated with increased mean (ρ = 0.47), axial (ρ = 0.44), and radial (ρ = 0.51) diffusivity and decreased QA (ρ = -0.52) in the corpus callosum and bilateral corona radiata irrespective of treatment group. DHA + EPA supplementation did preserve default mode/frontoparietal control network connectivity (g = 0.96, p = 0.024). Conclusions These exploratory findings did not provide strong evidence that DHA + EPA prevented or protected against axonal damage as quantified via neuroimaging. Neuroprotective effects on functional connectivity were observed despite white matter damage. Further studies with larger samples are needed to fully establish the relationship between omega-3 supplementation, RSHIs, and neuroimaging biomarkers. Trial registration ClinicalTrials.gov-NCT04796207.
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Affiliation(s)
- Adam C. Raikes
- Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, United States
| | - Gerson D. Hernandez
- Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, United States
| | - Veronica A. Mullins
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, United States
| | - Yiwei Wang
- Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, United States
| | - Claudia Lopez
- Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, United States
| | - William D. S. Killgore
- Social, Cognitive, and Affective Neuroscience Lab, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Floyd H. Chilton
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, United States
| | - Roberta D. Brinton
- Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, United States
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23
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Advanced MRI imaging of nerve roots in lumbar radiculopathy due to discoradicular conflict: DWI, DTI, and T2 mapping with clinical and neurophysiological correlations. Radiol Med 2022; 127:1270-1276. [DOI: 10.1007/s11547-022-01550-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 08/24/2022] [Indexed: 12/08/2022]
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24
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Benjamini D, Priemer DS, Perl DP, Brody DL, Basser PJ. Mapping astrogliosis in the individual human brain using multidimensional MRI. Brain 2022; 146:1212-1226. [PMID: 35953450 PMCID: PMC9976979 DOI: 10.1093/brain/awac298] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 06/13/2022] [Accepted: 08/06/2022] [Indexed: 11/14/2022] Open
Abstract
There are currently no non-invasive imaging methods available for astrogliosis assessment or mapping in the central nervous system despite its essential role in the response to many disease states, such as infarcts, neurodegenerative conditions, traumatic brain injury and infection. Multidimensional MRI is an increasingly employed imaging modality that maximizes the amount of encoded chemical and microstructural information by probing relaxation (T1 and T2) and diffusion mechanisms simultaneously. Here, we harness the exquisite sensitivity of this imagining modality to derive a signature of astrogliosis and disentangle it from normative brain at the individual level using machine learning. We investigated ex vivo cerebral cortical tissue specimens derived from seven subjects who sustained blast-induced injuries, which resulted in scar-border forming astrogliosis without being accompanied by other types of neuropathological abnormality, and from seven control brain donors. By performing a combined post-mortem radiology and histopathology correlation study we found that astrogliosis induces microstructural and chemical changes that are robustly detected with multidimensional MRI, and which can be attributed to astrogliosis because no axonal damage, demyelination or tauopathy were histologically observed in any of the cases in the study. Importantly, we showed that no one-dimensional T1, T2 or diffusion MRI measurement can disentangle the microscopic alterations caused by this neuropathology. Based on these findings, we developed a within-subject anomaly detection procedure that generates MRI-based astrogliosis biomarker maps ex vivo, which were significantly and strongly correlated with co-registered histological images of increased glial fibrillary acidic protein deposition (r = 0.856, P < 0.0001; r = 0.789, P < 0.0001; r = 0.793, P < 0.0001, for diffusion-T2, diffusion-T1 and T1-T2 multidimensional data sets, respectively). Our findings elucidate the underpinning of MRI signal response from astrogliosis, and the demonstrated high spatial sensitivity and specificity in detecting reactive astrocytes at the individual level, and if reproduced in vivo, will significantly impact neuroimaging studies of injury, disease, repair and aging, in which astrogliosis has so far been an invisible process radiologically.
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Affiliation(s)
- Dan Benjamini
- Correspondence to: Dan Benjamini, PhD National Institutes of Health (NIH), 251 Bayview Blvd., Baltimore, MD 21224, USA E-mail:
| | - David S Priemer
- Department of Pathology, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, MD 20814, USA,The Department of Defense/Uniformed Services, University Brain Tissue Repository, Bethesda, MD 20814, USA,The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF), Bethesda, MD 20817, USA
| | - Daniel P Perl
- Department of Pathology, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, MD 20814, USA,The Department of Defense/Uniformed Services, University Brain Tissue Repository, Bethesda, MD 20814, USA
| | - David L Brody
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA,Department of Neurology, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, MD 20814, USA,Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA
| | - Peter J Basser
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD 20891, USA,Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
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25
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Ma J, Yang X, Xu F, Li H. Application of Diffusion Tensor Imaging (DTI) in the Diagnosis of HIV-Associated Neurocognitive Disorder (HAND): A Meta-Analysis and a System Review. Front Neurol 2022; 13:898191. [PMID: 35873786 PMCID: PMC9302369 DOI: 10.3389/fneur.2022.898191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/20/2022] [Indexed: 12/20/2022] Open
Abstract
Background The patients with HIV-associated neurocognitive disorder (HAND) are often accompanied by white matter structure damage. Diffusion tensor imaging (DTI) is an important tool to detect white matter structural damage. However, the changes in DTI values reported in many studies are diverse in different white matter fiber tracts and brain regions. Purpose Our research is dedicated to evaluating the consistency and difference of the correlation between HAND and DTI measures in different studies. Additionally, the value of DTI in HAND evaluation is used to obtain consensus and independent conclusions between studies. Methods We searched PubMed and Web of Science to collect relevant studies using DTI for the diagnosis of HAND. After screening and evaluating the search results, meta-analysis is used for quantitative research on data. Articles that cannot collect data but meet the research relevance will be subjected to a system review. Results The meta-analysis shows that the HAND group has lower fractional anisotropy (standardized mean difference = −0.57 p < 0.0001) and higher mean diffusivity (standardized mean difference = 0.04 p < 0.0001) than the healthy control group in corpus callosum. In other white matter fibers, we found similar changes in fractional anisotropy (standardized mean difference = −1.18 p < 0.0001) and mean diffusivity (standardized mean difference = 0.69 p < 0.0001). However, the heterogeneity (represented by I2) between the studies is high (in corpus callosum 94, 88%, in other matter fibers 95, 81%). After subgroup analysis, the heterogeneity is obtained as 19.5, 40.7% (FA, MD in corpus callosum) and 0, 0% (FA, MD among other white matter fibers). Conclusion The changes in white matter fibers in patients with HAND are statistically significant at the observation level of DTI compared with healthy people. The differences between the studies are mainly derived from demographics, start and maintenance time of antiretroviral therapy, differences in nadir CD4+T cells, and the use of different neurocognitive function scales. As an effective method to detect the changes in white matter fibers, DTI is of great significance for the diagnosis of HAND, but there are still some shortcomings. In the absence of neurocognitive function scales, independent diagnosis remains difficult. Systematic Review Registration:https://inplasy.com/inplasy-2021-10-0079/.
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Affiliation(s)
- Juming Ma
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Xue Yang
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Fan Xu
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Hongjun Li
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
- Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China
- *Correspondence: Hongjun Li
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26
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Keong NC, Lock C, Soon S, Hernowo AT, Czosnyka Z, Czosnyka M, Pickard JD, Narayanan V. Diffusion Tensor Imaging Profiles Can Distinguish Diffusivity and Neural Properties of White Matter Injury in Hydrocephalus vs. Non-hydrocephalus Using a Strategy of a Periodic Table of DTI Elements. Front Neurol 2022; 13:868026. [PMID: 35873785 PMCID: PMC9296826 DOI: 10.3389/fneur.2022.868026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 04/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background:The aim of this study was to create a simplistic taxonomy to improve transparency and consistency in, and reduce complexity of, interpreting diffusion tensor imaging (DTI) profiles in white matter disruption. Using a novel strategy of a periodic table of DTI elements, we examined if DTI profiles could demonstrate neural properties of disruption sufficient to characterize white matter changes specific for hydrocephalus vs. non-hydrocephalus, and to distinguish between cohorts of neural injury by their differing potential for reversibility.MethodsDTI datasets from three clinical cohorts representing pathological milestones from reversible to irreversible brain injury were compared to those of healthy controls at baseline, over time and with interventions. The final dataset comprised patients vs. controls in the following groupings: mild traumatic brain injury (mTBI), n = 24 vs. 27, normal pressure hydrocephalus (NPH), n = 16 vs. 9 and Alzheimer's disease (AD), n = 27 vs. 47. We generated DTI profiles from fractional anisotropy (FA) and mean, axial and radial diffusivity measures (MD, L1 and L2 and 3 respectively), and constructed an algorithm to map changes consistently to a periodic table of elements, which fully described their diffusivity and neural properties.ResultsMapping tissue signatures to a periodic table of DTI elements rapidly characterized cohorts by their differing patterns of injury. At baseline, patients with mTBI displayed the most preserved tracts. In NPH, the magnitude of changes was dependent on “familial” DTI neuroanatomy, i.e., potential for neural distortion from risk of ventriculomegaly. With time, patients with Alzheimer's disease were significantly different to controls across multiple measures. By contrast, patients with mTBI showed both loss of integrity and pathophysiological processes of neural repair. In NPH, some patterns of injury, such as “stretch/compression” and “compression” were more reversible following intervention than others; these neural profile properties suggested “microstructural resilience” to injury.ConclusionUsing the novel strategy of a periodic table of DTI elements, our study has demonstrated it is possible to distinguish between different cohorts along the spectrum of brain injury by describing neural profile properties of white matter disruption. Further work to contribute datasets of disease toward this proposed taxonomic framework would enhance the translatability of DTI profiles to the clinical-research interface.
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Affiliation(s)
- Nicole C. Keong
- Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- *Correspondence: Nicole C. Keong
| | - Christine Lock
- Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore
| | - Shereen Soon
- Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore
| | - Aditya Tri Hernowo
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Zofia Czosnyka
- Neurosurgical Division, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Marek Czosnyka
- Neurosurgical Division, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - John D. Pickard
- Neurosurgical Division, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Vairavan Narayanan
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
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27
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Du D, Gao Y, Zheng T, Yang L, Wang Z, Shi Q, Wu S, Liang X, Yao X, Lu J, Liu L. The Value of First-Order Features Based on the Apparent Diffusion Coefficient Map in Evaluating the Therapeutic Effect of Low-Intensity Pulsed Ultrasound for Acute Traumatic Brain Injury With a Rat Model. Front Comput Neurosci 2022; 16:923247. [PMID: 35814344 PMCID: PMC9259978 DOI: 10.3389/fncom.2022.923247] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 06/06/2022] [Indexed: 11/22/2022] Open
Abstract
Purpose In order to evaluate the neuroprotective effect of low-intensity pulsed ultrasound (LIPUS) for acute traumatic brain injury (TBI), we studied the potential of apparent diffusion coefficient (ADC) values and ADC-derived first-order features regarding this problem. Methods Forty-five male Sprague Dawley rats (sham group: 15, TBI group: 15, LIPUS treated: 15) were enrolled and underwent magnetic resonance imaging. Scanning layers were acquired using a multi-shot readout segmentation of long variable echo trains (RESOLVE) to decrease distortion. The ultrasound transducer was applied to the designated region in the injured cortical areas using a conical collimator and was filled with an ultrasound coupling gel. Regions of interest were manually delineated in the center of the damaged cortex on the diffusion weighted images (b = 800 s/mm2) layer by layer for the TBI and LIPUS treated groups using the open-source software ITK-SNAP. Before analysis and modeling, the features were normalized using a z-score method, and a logistic regression model with a backward filtering method was employed to perform the modeling. The entire process was completed using the R language. Results During the observation time, the ADC values ipsilateral to the trauma in the TBI and LIPUS groups increased rapidly up to 24 h. After statistical analysis, the 10th percentile, 90th percentile, mean, skewness, and uniformity demonstrated a significant difference among three groups. The receiver operating characteristic curve (ROC) analysis shows that the combined LR model exhibited the highest area under the curve value (AUC: 0.96). Conclusion The combined LR model of first-order features based on the ADC map can acquire a higher diagnostic performance than each feature only in evaluating the neuroprotective effect of LIPUS for TBI. Models based on first-order features may have potential value in predicting the therapeutic effect of LIPUS in clinical practice in the future.
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Affiliation(s)
- Dan Du
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Yajuan Gao
- Department of Radiology, Peking University Third Hospital, Beijing, China
- NMPA Key Laboratory for Evaluation of Medical Imaging Equipment and Technique, Beijing, China
- Peking University Shenzhen Graduate School, Shenzhen, China
| | - Tao Zheng
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Linsha Yang
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Zhanqiu Wang
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Qinglei Shi
- MR Scientific Marketing, Siemens Healthineers Ltd., Beijing, China
| | - Shuo Wu
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
| | - Xin Liang
- Graduate School of Chengde Medical University, Chengde, China
| | - Xinyu Yao
- Graduate School of Chengde Medical University, Chengde, China
| | - Jiabin Lu
- Beijing Key Laboratory of Magnetic Resonance Imaging Device and Technique, Beijing, China
| | - Lanxiang Liu
- Department of Magnetic Resonance Imaging, Qinhuangdao Municipal No. 1 Hospital, Qinhuangdao, China
- *Correspondence: Lanxiang Liu,
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28
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Cakmak JD, Liu L, Poirier SE, Schaefer B, Poolacherla R, Burhan AM, Sabesan P, St. Lawrence K, Théberge J, Hicks JW, Finger E, Palaniyappan L, Anazodo UC. The functional and structural associations of aberrant microglial activity in major depressive disorder. J Psychiatry Neurosci 2022; 47:E197-E208. [PMID: 35654450 PMCID: PMC9343118 DOI: 10.1503/jpn.210124] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 12/13/2021] [Accepted: 03/13/2022] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a debilitating mental illness that has been linked to increases in markers of inflammation, as well as to changes in brain functional and structural connectivity, particularly between the insula and the subgenual anterior cingulate cortex (sgACC). In this study, we directly related inflammation and dysconnectivity in treatment-resistant MDD by concurrently measuring the following: microglial activity with [18F]N-2-(fluoroethoxyl)benzyl-N-(4phenoxypyridin-3-yl)acetamide ([18F]FEPPA) positron emission tomography (PET); the severity of MDD; and functional or structural connectivity among insula or sgACC nodes. METHODS Twelve patients with treatment-resistant MDD (8 female, 4 male; mean age ± standard deviation 54.9 ± 4.5 years and 23 healthy controls (11 female, 12 male; 60.3 ± 8.5 years) completed a hybrid [18F]FEPPA PET and MRI acquisition. From these, we extracted relative standardized uptake values for [18F]FEPPA activity and Pearson r-to-z scores representing functional connectivity from our regions of interest. We extracted diffusion tensor imaging metrics from the cingulum bundle, a key white matter bundle in MDD. We performed regressions to relate microglial activity with functional connectivity, structural connectivity and scores on the 17-item Hamilton Depression Rating Scale. RESULTS We found significantly increased [18F]FEPPA uptake in the left sgACC in patients with treatment-resistant MDD compared to healthy controls. Patients with MDD also had a reduction in connectivity between the sgACC and the insula. The [18F]FEPPA uptake in the left sgACC was significantly related to functional connectivity with the insula, and to the structural connectivity of the cingulum bundle. [18F]FEPPA uptake also predicted scores on the Hamilton Depression Rating Scale.Limitations: A relatively small sample size, lack of functional task data and concomitant medication use may have affected our findings. CONCLUSION We present preliminary evidence linking a network-level dysfunction relevant to the pathophysiology of depression and related to increased microglial activity in MDD.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Lena Palaniyappan
- From the Department of Neuroscience, Western University, London, Ont. (Cakmak, Schaefer, Sabesan, Palaniyappan); the Robarts Research Institute, Western University, London, Ont. (Cakmak, Palaniyappan); the Lawson Health Research Institute, London, Ont. (Liu, Poirier, Burhan, St. Lawrence, Théberge, Hicks, Finger, Anazodo); the Department of Medical Biophysics, Western University, London, Ont. (Poirier, Sabesan, St. Lawrence, Théberge, Hicks, Anazodo); the London Health Sciences Centre, London, Ont. (Schaefer, Poolacherla, Palaniyappan); the Department of Psychiatry, Western University, London, Ont. (Burhan, Théberge, Palaniyappan); the Department of Psychiatry, University of Toronto, Toronto, Ont. (Burhan); the Ontario Shores Centre for Mental Health Sciences, Whitby, Ont. (Burhan); the Department of Clinical Neurological Sciences, Western University, London, Ont. (Finger); the Department of Anesthesia and Perioperative Medicine, Western University, London, Ont. (Poolacherla)
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Yeh PH, Lippa SM, Brickell TA, Ollinger J, French LM, Lange RT. Longitudinal changes of white matter microstructure following traumatic brain injury in U.S. military service members. Brain Commun 2022; 4:fcac132. [PMID: 35702733 PMCID: PMC9185378 DOI: 10.1093/braincomms/fcac132] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 04/01/2022] [Accepted: 05/24/2022] [Indexed: 09/02/2023] Open
Abstract
The purpose of this study was to analyze quantitative diffusion tensor imaging measures across the spectrum of traumatic brain injury severity and evaluate their trajectories in military service members. Participants were 96 U.S. military service members and veterans who had sustained a mild traumatic brain injury [including complicated mild traumatic brain injury (n = 16) and uncomplicated mild traumatic brain injury (n = 68)], moderate-severe traumatic brain injury (n = 12), and controls (with or without orthopaedic injury, n = 39). All participants had been scanned at least twice, with some receiving up to five scans. Both whole brain voxel-wise analysis and tract-of-interest analysis were applied to assess the group differences of diffusion tensor imaging metrics, and their trajectories between time points of scans and days since injury. Linear mixed modelling was applied to evaluate cross-sectional and longitudinal diffusion tensor imaging metrics changes within and between groups using both tract-of-interest and voxel-wise analyses. Participants with moderate to severe traumatic brain injury had larger white matter disruption both in superficial subcortical and deep white matter, mainly over the anterior part of cerebrum, than those with mild traumatic brain injury, both complicated and uncomplicated, and there was no evidence of recovery over the period of follow-ups in moderate-severe traumatic brain injury, but deterioration was possible. Participants with mild traumatic brain injury had white matter microstructural changes, mainly in deep central white matter over the posterior part of cerebrum, with more spatial involvement in complicated mild traumatic brain injury than in uncomplicated mild traumatic brain injury and possible brain repair through neuroplasticity, e.g. astrocytosis with glial processes and glial scaring. Our results did not replicate 'V-shaped' trajectories in diffusion tensor imaging metrics, which were revealed in a previous study assessing the sub-acute stage of brain injury in service members and veterans following military combat concussion. In addition, non-traumatic brain injury controls, though not demonstrating any evidence of sustaining a traumatic brain injury, might have transient white matter changes with recovery afterward. Our results suggest that white matter integrity following a remote traumatic brain injury may change as a result of different underlying mechanisms at the microstructural level, which can have a significant consequence on the long-term well beings of service members and veterans. In conclusion, longitudinal diffusion tensor imaging improves our understanding of the mechanisms of white matter microstructural changes across the spectrum of traumatic brain injury severity. The quantitative metrics can be useful as guidelines in monitoring the long-term recovery.
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Affiliation(s)
- Ping-Hong Yeh
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, RM1128, Bldg 51, Bethesda, MD, USA
| | - Sara. M. Lippa
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, RM1128, Bldg 51, Bethesda, MD, USA
| | - Tracey A. Brickell
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, RM1128, Bldg 51, Bethesda, MD, USA
- Traumatic Brain Injury Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA
- Department of Physical Medicine and Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Contractor, General Dynamics Information Technology, Silver Spring, MD, USA
- Centre of Excellence on Post-traumatic Stress Disorder, Ottawa, ON, Canada
| | - John Ollinger
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, RM1128, Bldg 51, Bethesda, MD, USA
| | - Louis M. French
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, RM1128, Bldg 51, Bethesda, MD, USA
- Traumatic Brain Injury Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA
- Department of Physical Medicine and Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Rael T. Lange
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, RM1128, Bldg 51, Bethesda, MD, USA
- Traumatic Brain Injury Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- Contractor, General Dynamics Information Technology, Silver Spring, MD, USA
- Centre of Excellence on Post-traumatic Stress Disorder, Ottawa, ON, Canada
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30
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Hidden Truth in Cerebral Concussion—Traumatic Axonal Injury: A Narrative Mini-Review. Healthcare (Basel) 2022; 10:healthcare10050931. [PMID: 35628068 PMCID: PMC9141295 DOI: 10.3390/healthcare10050931] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/12/2022] [Accepted: 05/17/2022] [Indexed: 01/25/2023] Open
Abstract
This study reviewed traumatic axonal injury (TAI) in patients with concussion. Concussion refers to transient changes in the neurological function of the brain resulting from head trauma that should not involve any organic brain injury. On the other hand, TAI has been reported in autopsy studies of the human brain and histopathological studies of animal brains following concussion before the development of diffusion tensor imaging (DTI). The diagnosis of TAI in live patients with concussion is limited because of the low resolution of conventional brain magnetic resonance imaging. Since the first study by Arfanakis et al. in 2002, several hundred studies have reported TAI in patients with concussion using DTI. Furthermore, dozens of studies have demonstrated TAI using diffusion tensor tractography for various neural tracts in individual patients with concussion. Hence, DTI provides valuable data for the diagnosis of TAI in patients with concussion. Nevertheless, the confirmation of TAI in live patients with concussion can be limited because a histopathological study via a brain biopsy is required to confirm TAI. Accordingly, further studies for a diagnostic approach to TAI using DTI without a histopathological test in individual patients with concussion will be necessary in the clinical field.
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31
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Cao M, Luo Y, Wu Z, Wu K, Li X. Abnormal neurite density and orientation dispersion in frontal lobe link to elevated hyperactive/impulsive behaviors in young adults with traumatic brain injury. Brain Commun 2022; 4:fcac011. [PMID: 35187485 PMCID: PMC8853727 DOI: 10.1093/braincomms/fcac011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 12/02/2021] [Accepted: 01/27/2022] [Indexed: 11/15/2022] Open
Abstract
Traumatic brain injury is a major public health concern. A significant proportion of individuals experience post-traumatic brain injury behavioural impairments, especially in attention and inhibitory control domains. Traditional diffusion-weighted MRI techniques, such as diffusion tensor imaging, have provided tools to assess white matter structural disruptions reflecting the long-term brain tissue alterations associated with traumatic brain injury. The recently developed neurite orientation dispersion and density imaging is a more advanced diffusion MRI modality, which provides more refined characterization of brain tissue microstructures by assessing the neurite orientation dispersion and neurite density properties. In this study, neurite orientation dispersion and density imaging data from 44 young adults with chronic traumatic brain injury (who had no prior-injury diagnoses of any sub-presentation of attention deficits/hyperactivity disorder or experience of severe inattentive and/or hyperactive behaviours) and 45 group-matched normal controls were investigated, to assess the post-injury morphometrical and microstructural brain alterations and their relationships with the behavioural outcomes. Maps of fractional anisotropy, neurite orientation dispersion index and neurite density index were calculated. Vertex-wise and voxel-wise analyses were conducted for grey matter and white matter, respectively. Post hoc region-of-interest-based analyses were also performed. Compared to the controls, the group of traumatic brain injury showed significantly increased orientation dispersion index and significantly decreased neurite density index in various grey matter regions, as well as significantly decreased orientation dispersion index in several white matter regions. Brain–behavioural association analyses indicated that the reduced neurite density index of the left precentral gyrus and the reduced orientation dispersion index of the left superior longitudinal fasciculus were significantly associated with elevated hyperactive/impulsive symptoms in the patients with traumatic brain injury. These findings suggest that post-injury chronical neurite intracellular volume and angular distribution anomalies in the frontal lobe, practically the precentral area, can significantly contribute to the onset of hyperactive/impulsive behaviours in young adults with traumatic brain injury.
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Affiliation(s)
- Meng Cao
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA
| | - Yuyang Luo
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA
| | - Ziyan Wu
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, NJ, USA
| | - Kai Wu
- Department of Electrical and Computer Engineering, School of Materials Science and Engineering, South China University of Technology, Guangzhou, China
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, USA
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, NJ, USA
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32
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Roine T, Mohammadian M, Hirvonen J, Kurki T, Posti JP, Takala RS, Newcombe V, Tallus J, Katila AJ, Maanpää HR, Frantzen J, Menon D, Tenovuo O. Structural brain connectivity correlates with outcome in mild traumatic brain injury. J Neurotrauma 2022; 39:336-347. [PMID: 35018829 DOI: 10.1089/neu.2021.0093] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
We investigated the topology of structural brain connectivity networks and its association to outcome following mild traumatic brain injury, a major cause of permanent disability. Eighty-five patients with mild traumatic brain injury underwent MRI twice, about three weeks and eight months after injury, and 30 age-matched orthopedic trauma control subjects were scanned. Outcome was assessed with Extended Glasgow Outcome Scale on average eight months after injury. We performed constrained spherical deconvolution based probabilistic streamlines tractography on diffusion MRI data and parcellated cortical and subcortical gray matter into 84 regions based on T1-weighted data to reconstruct structural brain connectivity networks weighted by the number of streamlines. Graph theoretical methods were employed to measure network properties in both patients and controls, and correlations between these properties and outcome were calculated. We found no global differences in the network properties between patients with mild traumatic brain injury and orthopedic control subjects at either stage. However, we found significantly increased betweenness centrality of the right pars opercularis in the chronic stage compared to control subjects. Furthermore, both global and local network properties correlated significantly with outcome. Higher normalized global efficiency, degree, and strength as well as lower small-worldness were associated with better outcome. Correlations between the outcome and the local network properties were the most prominent in the left putamen and the left postcentral gyrus. Our results indicate that both global and local network properties provide valuable information about the outcome already in the acute/subacute stage, and therefore, are promising biomarkers for prognostic purposes in mild traumatic brain injury.
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Affiliation(s)
- Timo Roine
- University of Turku, 8058, Turku Brain and Mind Center, Turku, Finland.,Aalto University School of Science, 313201, Department of Neuroscience and Biomedical Engineering, Espoo, Finland;
| | - Mehrbod Mohammadian
- University of Turku Faculty of Medicine, 60654, Department of Clinical Neurosciences, Turku, Finland.,Turku University Hospital, 60652, Turku Brain Injury Center, Neurocenter, Turku, Finland;
| | - Jussi Hirvonen
- TYKS Turku University Hospital, 60652, Department of Radiology, Turku, Varsinais-Suomi, Finland;
| | - Timo Kurki
- University of Turku Faculty of Medicine, 60654, Department of Clinical Neurosciences, Turku, Finland.,Turku University Hospital, 60652, Turku Brain Injury Center, Neurocenter, Turku, Finland.,TYKS Turku University Hospital, 60652, Department of Radiology, Turku, Varsinais-Suomi, Finland;
| | - Jussi P Posti
- University of Turku Faculty of Medicine, 60654, Department of Clinical Neurosciences, Turku, Finland.,Turku University Hospital, 60652, Turku Brain Injury Center, Neurocenter, Turku, Varsinais-Suomi, Finland.,TYKS Turku University Hospital, 60652, Department of Neurosurgery. Neurocenter, Turku, Varsinais-Suomi, Finland;
| | - Riikka Sk Takala
- Turku University Hospital, Perioperative Services, Intensive Care Medicine and Pain Management, Turku, Finland.,University of Turku, 8058, Anaesthesiology, Intensive Care, Emergency Care and Pain Medicine, Turku, Varsinais-Suomi, Finland;
| | - Virginia Newcombe
- University of Cambridge, Division of Anaesthesia, Addenbrooke's Hospital, Cambridge, United Kingdom of Great Britain and Northern Ireland;
| | - Jussi Tallus
- Turku University Hospital, 60652, Turku Brain Injury Center, Neurocenter, Turku, Varsinais-Suomi, Finland;
| | - Ari J Katila
- Turku University Hospital, Perioperative Services, Intensive Care Medicine and Pain Management, Turku, Varsinais-Suomi, Finland;
| | - Henna-Riikka Maanpää
- Turku University Hospital, 60652, Turku Brain Injury Center, Neurocenter, Turku, Varsinais-Suomi, Finland.,Turku University Hospital, Department of Neurosurgery, Neurocenter, Turku, Varsinais-Suomi, Finland;
| | - Janek Frantzen
- Turku University Hospital, Turku Brain Injury Center, Neurocenter, Turku, Finland.,Turku University Hospital, Department of Neurosurgery, Neurocenter, Turku, Varsinais-Suomi, Finland.,University of Turku Faculty of Medicine, 60654, Department of Clinical Neurosciences, Turku, Finland;
| | - David Menon
- University of Cambridge, Division of Anaesthesia, Addenbrooke's Hospital, Cambridge, United Kingdom of Great Britain and Northern Ireland;
| | - Olli Tenovuo
- University of Turku Faculty of Medicine, 60654, Department of Clinical Neurosciences, Turku, Finland.,Turku University Hospital, 60652, Turku Brain Injury Center, Neurocenter, Turku, Finland;
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33
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Motanis H, Khorasani LN, Giza CC, Harris NG. Peering into the Brain through the Retrosplenial Cortex to Assess Cognitive Function of the Injured Brain. Neurotrauma Rep 2021; 2:564-580. [PMID: 34901949 PMCID: PMC8655812 DOI: 10.1089/neur.2021.0044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The retrosplenial cortex (RSC) is a posterior cortical area that has been drawing increasing interest in recent years, with a growing number of studies studying its contribution to cognitive and sensory functions. From an anatomical perspective, it has been established that the RSC is extensively and often reciprocally connected with the hippocampus, neocortex, and many midbrain regions. Functionally, the RSC is an important hub of the default-mode network. This endowment, with vast anatomical and functional connections, positions the RSC to play an important role in episodic memory, spatial and contextual learning, sensory-cognitive activities, and multi-modal sensory information processing and integration. Additionally, RSC dysfunction has been reported in cases of cognitive decline, particularly in Alzheimer's disease and stroke. We review the literature to examine whether the RSC can act as a cortical marker of persistent cognitive dysfunction after traumatic brain injury (TBI). Because the RSC is easily accessible at the brain's surface using in vivo techniques, we argue that studying RSC network activity post-TBI can shed light into the mechanisms of less-accessible brain regions, such as the hippocampus. There is a fundamental gap in the TBI field about the microscale alterations occurring post-trauma, and by studying the RSC's neuronal activity at the cellular level we will be able to design better therapeutic tools. Understanding how neuronal activity and interactions produce normal and abnormal activity in the injured brain is crucial to understanding cognitive dysfunction. By using this approach, we expect to gain valuable insights to better understand brain disorders like TBI.
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Affiliation(s)
- Helen Motanis
- UCLA Brain Injury Research Center, Department of Neurosurgery, Geffen Medical School, UCLA Mattel Children's Hospital, University of California at Los Angeles, Los Angeles, California, USA
| | - Laila N. Khorasani
- UCLA Brain Injury Research Center, Department of Neurosurgery, Geffen Medical School, UCLA Mattel Children's Hospital, University of California at Los Angeles, Los Angeles, California, USA
| | - Christopher C. Giza
- UCLA Brain Injury Research Center, Department of Neurosurgery, Geffen Medical School, UCLA Mattel Children's Hospital, University of California at Los Angeles, Los Angeles, California, USA
- Department of Pediatrics, UCLA Mattel Children's Hospital, University of California at Los Angeles, Los Angeles, California, USA
| | - Neil G. Harris
- UCLA Brain Injury Research Center, Department of Neurosurgery, Geffen Medical School, UCLA Mattel Children's Hospital, University of California at Los Angeles, Los Angeles, California, USA
- Intellectual Development and Disabilities Research Center, UCLA Mattel Children's Hospital, University of California at Los Angeles, Los Angeles, California, USA
- *Address correspondence to: Neil G. Harris, PhD, Department of Neurosurgery, University of California at Los Angeles, Wasserman Building, 300 Stein Plaza, Room 551, Los Angeles, CA 90095, USA;
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34
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Moneo J, Kramer JLK, Nightingale TE, Berger MJ. Can Magnetic Resonance Imaging Reveal Lower Motor Neuron Damage after Traumatic Spinal Cord Injury? A Scoping Review. Neurotrauma Rep 2021; 2:541-547. [PMID: 34901947 PMCID: PMC8655802 DOI: 10.1089/neur.2021.0019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Restoring muscle function to patients with spinal cord injuries (SCIs) will invariably require a functioning lower motor neuron (LMN). As techniques such as nerve transfer surgery emerge, characterizing the extent of LMN damage associated with SCIs becomes clinically important. Current methods of LMN diagnosis have inherent limitations that could potentially be overcome by the development of magnetic resonance imaging (MRI) biomarkers: specific features on MRI that are indicative of LMN integrity. To identify research on MRI biomarkers of LMN damage in the acute phase after SCI, we searched PubMed, EMBASE, MEDLINE, and the Cochrane Central Register of Controlled Trials for articles published from inception to April 27, 2021. Overall, 2 of 58 unique articles screened met our inclusion criteria, both of which were small studies. We therefore identify MRI biomarkers of LMN damage overlying SCI as a notable gap in the literature. Because of the lack of existing literature on this specific problem, we further our discussion by examining concepts explored in research characterizing MRI biomarkers of spinal cord and neuronal damage in different contexts that may provide value in future work to identify a biomarker for LMN damage in SCI. We conclude that MRI biomarkers of LMN damage in SCI is an underexplored, but promising, area of research as emerging, function-restoring therapies requiring this information continue to advance.
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Affiliation(s)
- Jethro Moneo
- MD Program, Faculty of Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - John L K Kramer
- International Collaboration on Repair Discoveries (ICORD), Vancouver, British Columbia, Canada.,School of Kinesiology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Thomas E Nightingale
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Michael J Berger
- International Collaboration on Repair Discoveries (ICORD), Vancouver, British Columbia, Canada.,School of Kinesiology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Division of Physical Medicine and Rehabilitation, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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35
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Hutchinson E, Osting S, Rutecki P, Sutula T. Diffusion Tensor Orientation as a Microstructural MRI Marker of Mossy Fiber Sprouting After TBI in Rats. J Neuropathol Exp Neurol 2021; 81:27-47. [PMID: 34865073 DOI: 10.1093/jnen/nlab123] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Diffusion tensor imaging (DTI) metrics are highly sensitive to microstructural brain alterations and are potentially useful imaging biomarkers for underlying neuropathologic changes after experimental and human traumatic brain injury (TBI). As potential imaging biomarkers require direct correlation with neuropathologic alterations for validation and interpretation, this study systematically examined neuropathologic abnormalities underlying alterations in DTI metrics in the hippocampus and cortex following controlled cortical impact (CCI) in rats. Ex vivo DTI metrics were directly compared with a comprehensive histologic battery for neurodegeneration, microgliosis, astrocytosis, and mossy fiber sprouting by Timm histochemistry at carefully matched locations immediately, 48 hours, and 4 weeks after injury. DTI abnormalities corresponded to spatially overlapping but temporally distinct neuropathologic alterations representing an aggregate measure of dynamic tissue damage and reorganization. Prominent DTI alterations of were observed for both the immediate and acute intervals after injury and associated with neurodegeneration and inflammation. In the chronic period, diffusion tensor orientation in the hilus of the dentate gyrus became prominently abnormal and was identified as a reliable structural biomarker for mossy fiber sprouting after CCI in rats, suggesting potential application as a biomarker to follow secondary progression in experimental and human TBI.
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Affiliation(s)
- Elizabeth Hutchinson
- From the Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA (EH); and Department of Neurology, University of Wisconsin, Madison, Wisconsin, USA (SO, PR, TS)
| | - Susan Osting
- From the Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA (EH); and Department of Neurology, University of Wisconsin, Madison, Wisconsin, USA (SO, PR, TS)
| | - Paul Rutecki
- From the Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA (EH); and Department of Neurology, University of Wisconsin, Madison, Wisconsin, USA (SO, PR, TS)
| | - Thomas Sutula
- From the Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA (EH); and Department of Neurology, University of Wisconsin, Madison, Wisconsin, USA (SO, PR, TS)
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36
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Chary K, Narvaez O, Salo RA, San Martín Molina I, Tohka J, Aggarwal M, Gröhn O, Sierra A. Microstructural Tissue Changes in a Rat Model of Mild Traumatic Brain Injury. Front Neurosci 2021; 15:746214. [PMID: 34899158 PMCID: PMC8662623 DOI: 10.3389/fnins.2021.746214] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 10/27/2021] [Indexed: 12/31/2022] Open
Abstract
Our study investigates the potential of diffusion MRI (dMRI), including diffusion tensor imaging (DTI), fixel-based analysis (FBA) and neurite orientation dispersion and density imaging (NODDI), to detect microstructural tissue abnormalities in rats after mild traumatic brain injury (mTBI). The brains of sham-operated and mTBI rats 35 days after lateral fluid percussion injury were imaged ex vivo in a 11.7-T scanner. Voxel-based analyses of DTI-, fixel- and NODDI-based metrics detected extensive tissue changes in directly affected brain areas close to the primary injury, and more importantly, also in distal areas connected to primary injury and indirectly affected by the secondary injury mechanisms. Histology revealed ongoing axonal abnormalities and inflammation, 35 days after the injury, in the brain areas highlighted in the group analyses. Fractional anisotropy (FA), fiber density (FD) and fiber density and fiber bundle cross-section (FDC) showed similar pattern of significant areas throughout the brain; however, FA showed more significant voxels in gray matter areas, while FD and FDC in white matter areas, and orientation dispersion index (ODI) in areas most damage based on histology. Region-of-interest (ROI)-based analyses on dMRI maps and histology in selected brain regions revealed that the changes in MRI parameters could be attributed to both alterations in myelinated fiber bundles and increased cellularity. This study demonstrates that the combination of dMRI methods can provide a more complete insight into the microstructural alterations in white and gray matter after mTBI, which may aid diagnosis and prognosis following a mild brain injury.
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Affiliation(s)
- Karthik Chary
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Omar Narvaez
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Raimo A. Salo
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | | | - Jussi Tohka
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Manisha Aggarwal
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Olli Gröhn
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Alejandra Sierra
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
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37
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Traumatic brain injury augurs ill for prolonged deficits in the brain's structural and functional integrity following controlled cortical impact injury. Sci Rep 2021; 11:21559. [PMID: 34732737 PMCID: PMC8566513 DOI: 10.1038/s41598-021-00660-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 10/06/2021] [Indexed: 12/02/2022] Open
Abstract
Previous neuroimaging studies in rodents investigated effects of the controlled cortical impact (CCI) model of traumatic brain injury (TBI) within one-month post-TBI. This study extends this temporal window to monitor the structural–functional alterations from two hours to six months post-injury. Thirty-seven male Sprague–Dawley rats were randomly assigned to TBI and sham groups, which were scanned at two hours, 1, 3, 7, 14, 30, 60 days, and six months following CCI or sham surgery. Structural MRI, diffusion tensor imaging, and resting-state functional magnetic resonance imaging were acquired to assess the dynamic structural, microstructural, and functional connectivity alterations post-TBI. There was a progressive increase in lesion size associated with brain volume loss post-TBI. Furthermore, we observed reduced fractional anisotropy within 24 h and persisted to six months post-TBI, associated with acutely reduced axial diffusivity, and chronic increases in radial diffusivity post-TBI. Moreover, a time-dependent pattern of altered functional connectivity evolved over the six months’ follow-up post-TBI. This study extends the current understanding of the CCI model by confirming the long-term persistence of the altered microstructure and functional connectivity, which may hold a strong translational potential for understanding the long-term sequelae of TBI in humans.
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38
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Graham NSN, Zimmerman KA, Moro F, Heslegrave A, Maillard SA, Bernini A, Miroz JP, Donat CK, Lopez MY, Bourke N, Jolly AE, Mallas EJ, Soreq E, Wilson MH, Fatania G, Roi D, Patel MC, Garbero E, Nattino G, Baciu C, Fainardi E, Chieregato A, Gradisek P, Magnoni S, Oddo M, Zetterberg H, Bertolini G, Sharp DJ. Axonal marker neurofilament light predicts long-term outcomes and progressive neurodegeneration after traumatic brain injury. Sci Transl Med 2021; 13:eabg9922. [PMID: 34586833 DOI: 10.1126/scitranslmed.abg9922] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Neil S N Graham
- Department of Brain Sciences, Imperial College London, London W12 0NN, UK.,UK DRI Centre for Care Research and Technology, Imperial College London, London W12 0BZ, UK
| | - Karl A Zimmerman
- Department of Brain Sciences, Imperial College London, London W12 0NN, UK.,UK DRI Centre for Care Research and Technology, Imperial College London, London W12 0BZ, UK
| | - Federico Moro
- Laboratory of Acute Brain Injury and Therapeutic Strategies, Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo 24126, Italy.,Fondazione IRCCS, Ca' Granda Ospedale Maggiore Policlinico, Dipartimento di Anestesia e Rianimazione, 20122, Milan, Italy
| | - Amanda Heslegrave
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK.,UK Dementia Research Institute at UCL, London WC1N 3BG, UK
| | - Samia Abed Maillard
- Neuroscience Critical Care Research Group, Department of Intensive Care Medicine, CHUV Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland
| | - Adriano Bernini
- Neuroscience Critical Care Research Group, Department of Intensive Care Medicine, CHUV Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland
| | - John-Paul Miroz
- Neuroscience Critical Care Research Group, Department of Intensive Care Medicine, CHUV Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland
| | - Cornelius K Donat
- Department of Brain Sciences, 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
| | - Niall Bourke
- Department of Brain Sciences, Imperial College London, London W12 0NN, UK.,UK DRI Centre for Care Research and Technology, Imperial College London, London W12 0BZ, UK
| | - Amy E Jolly
- Department of Brain Sciences, Imperial College London, London W12 0NN, UK.,UK DRI Centre for Care Research and Technology, Imperial College London, London W12 0BZ, UK
| | - Emma-Jane Mallas
- Department of Brain Sciences, Imperial College London, London W12 0NN, UK.,UK DRI Centre for Care Research and Technology, Imperial College London, London W12 0BZ, UK
| | - Eyal Soreq
- Department of Brain Sciences, Imperial College London, London W12 0NN, UK.,UK DRI Centre for Care Research and Technology, Imperial College London, London W12 0BZ, UK
| | - Mark H Wilson
- Department of Neurosurgery, Imperial College Healthcare NHS Trust, London W6 8RF, UK.,Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - Gavin Fatania
- Department of Imaging, Imperial College Healthcare NHS Trust, London W6 8RF, UK
| | - Dylan Roi
- Department of Imaging, Imperial College Healthcare NHS Trust, London W6 8RF, UK
| | - Maneesh C Patel
- Department of Imaging, Imperial College Healthcare NHS Trust, London W6 8RF, UK
| | - Elena Garbero
- Laboratory of Clinical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo 24126, Italy
| | - Giovanni Nattino
- Laboratory of Clinical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo 24126, Italy
| | - Camelia Baciu
- Neurorianimazione, ASST Grande Ospedale Metropolitano Niguarda, Milano 20162, Italy
| | - Enrico Fainardi
- Department of Experimental and Clinical Sciences, Careggi University Hospital, University of Firenze, Florence 50139, Italy
| | - Arturo Chieregato
- Neurorianimazione, ASST Grande Ospedale Metropolitano Niguarda, Milano 20162, Italy
| | - Primoz Gradisek
- Clinical Department of Anaesthesiology and Intensive Therapy, University Medical Center, Ljubljana 1000, Slovenia
| | - Sandra Magnoni
- Department of Anesthesia and Intensive Care, Santa Chiara Hospital, Trento 38122, Italy
| | - Mauro Oddo
- Neuroscience Critical Care Research Group, Department of Intensive Care Medicine, CHUV Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland.,Medical Direction, CHUV Lausanne University Hospital, Lausanne 1011, Switzerland
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal 431 41, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal 431 41, Sweden
| | - Guido Bertolini
- Laboratory of Clinical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo 24126, Italy
| | - David J Sharp
- Department of Brain Sciences, Imperial College London, London W12 0NN, UK.,UK DRI Centre for Care Research and Technology, Imperial College London, London W12 0BZ, UK.,Centre for Injury Studies, Imperial College London, London SW7 2AZ, UK
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39
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McCunn P, Xu X, Moszczynski A, Li A, Brown A, Bartha R. Neurite orientation dispersion and density imaging in a rodent model of acute mild traumatic brain injury. J Neuroimaging 2021; 31:879-892. [PMID: 34473386 DOI: 10.1111/jon.12917] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 07/24/2021] [Accepted: 07/27/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND AND PURPOSE Identification of changesin brain microstructure following mild traumatic brain injury (mTBI) could be instrumental in understanding the underlying pathophysiology. The purpose of this study was to apply neurite orientation dispersion and density imaging (NODDI) to a rodent model of mTBI to determine whether microstructural changes could be detected immediately following injury. METHODS Fifteen adult male Wistar rats were scanned on a Bruker 9.4 Tesla small animal MRI using a multi-shell acquisition (30 b = 1000 s/mm2 and 60 b = 2000 s/mm2 ). Nine animals experienced a single closed head controlled cortical impact followed by NODDI from 1 to 4 h post injury. Region of interest analysis focused on the corpus callosum and hippocampus. A mixed analysis of variance (ANOVA) was used to determine statistically significant interactions in neurite density index (NDI), orientation dispersion index (ODI), fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity. Follow up repeated-measures ANOVAs were used to determine individual changes over time. RESULTS NDI showed a significant increase in the hippocampus and corpus callosum following injury, while ODI showed increases in the corpus callosum. No significant changes were observed in the sham control animals. No changes were found in FA, MD, AD, or RD. Histological analysis revealed increased glial fibrillary acidic protein staining relative to controls in both the hippocampus and corpus callosum, with evidence of activated astrocytes in these regions. CONCLUSIONS Changes in NODDI metrics were detected as early as 1 h following mTBI. No changes were detected with conventional diffusion tensor imaging (DTI) metrics, suggesting that NODDI provides greater sensitivity to microstructural changes than conventional DTI.
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Affiliation(s)
- Patrick McCunn
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada
| | - Xiaoyun Xu
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | | | - Alex Li
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.,Departments of Psychiatry and Medical Imaging, University of Western Ontario, London, Ontario, Canada
| | - Arthur Brown
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Neuroscience, University of Western Ontario, London, Ontario, Canada
| | - Robert Bartha
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada.,Department of Anatomy and Cell Biology, University of Western Ontario, London, Ontario, Canada
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40
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Anderson KS, Gosselin N, Sadikot AF, Laguë-Beauvais M, Kang ESH, Fogarty AE, Marcoux J, Dagher J, de Guise E. Pitch and Rhythm Perception and Verbal Short-Term Memory in Acute Traumatic Brain Injury. Brain Sci 2021; 11:1173. [PMID: 34573194 PMCID: PMC8469559 DOI: 10.3390/brainsci11091173] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 08/25/2021] [Accepted: 08/31/2021] [Indexed: 11/25/2022] Open
Abstract
Music perception deficits are common following acquired brain injury due to stroke, epilepsy surgeries, and aneurysmal clipping. Few studies have examined these deficits following traumatic brain injury (TBI), resulting in an under-diagnosis in this population. We aimed to (1) compare TBI patients to controls on pitch and rhythm perception during the acute phase; (2) determine whether pitch and rhythm perception disorders co-occur; (3) examine lateralization of injury in the context of pitch and rhythm perception; and (4) determine the relationship between verbal short-term memory (STM) and pitch and rhythm perception. Music perception was examined using the Scale and Rhythm tests of the Montreal Battery of Evaluation of Amusia, in association with CT scans to identify lesion laterality. Verbal short-term memory was examined using Digit Span Forward. TBI patients had greater impairment than controls, with 43% demonstrating deficits in pitch perception, and 40% in rhythm perception. Deficits were greater with right hemisphere damage than left. Pitch and rhythm deficits co-occurred 31% of the time, suggesting partly dissociable networks. There was a dissociation between performance on verbal STM and pitch and rhythm perception 39 to 42% of the time (respectively), with most individuals (92%) demonstrating intact verbal STM, with impaired pitch or rhythm perception. The clinical implications of music perception deficits following TBI are discussed.
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Affiliation(s)
- Kirsten S Anderson
- Psychology Department, University of Montreal, Montreal, QC H2V 2S9, Canada
- Centre de Recherche Interdisciplinaire en Réadaptation du Montréal Métropolitain (CRIR), Montreal, QC H3S 1M9, Canada
- International Laboratory for Brain, Music and Sound Research (BRAMS), and Centre for Research on Brain, Language, and Music (CRBLM), Montreal, QC H2V2S9, Canada
| | - Nathalie Gosselin
- Psychology Department, University of Montreal, Montreal, QC H2V 2S9, Canada
- International Laboratory for Brain, Music and Sound Research (BRAMS), and Centre for Research on Brain, Language, and Music (CRBLM), Montreal, QC H2V2S9, Canada
| | - Abbas F Sadikot
- Neurology and Neurosurgery Department, McGill University Health Centre, Montreal, QC H4A 3J1, Canada
| | - Maude Laguë-Beauvais
- Neurology and Neurosurgery Department, McGill University Health Centre, Montreal, QC H4A 3J1, Canada
- Traumatic Brain Injury Program, McGill University Health Centre, Montreal, QC H3G 1A4, Canada
| | - Esther S H Kang
- Faculty of Medicine, McGill University, Montreal, QC H3G 2M1, Canada
| | - Alexandra E Fogarty
- Department of Neurology, Division of Physical Medicine and Rehabilitation, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Judith Marcoux
- Neurology and Neurosurgery Department, McGill University Health Centre, Montreal, QC H4A 3J1, Canada
- Traumatic Brain Injury Program, McGill University Health Centre, Montreal, QC H3G 1A4, Canada
| | - Jehane Dagher
- Centre de Recherche Interdisciplinaire en Réadaptation du Montréal Métropolitain (CRIR), Montreal, QC H3S 1M9, Canada
- Traumatic Brain Injury Program, McGill University Health Centre, Montreal, QC H3G 1A4, Canada
| | - Elaine de Guise
- Psychology Department, University of Montreal, Montreal, QC H2V 2S9, Canada
- Centre de Recherche Interdisciplinaire en Réadaptation du Montréal Métropolitain (CRIR), Montreal, QC H3S 1M9, Canada
- Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada
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41
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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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42
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Benjamini D, Iacono D, Komlosh ME, Perl DP, Brody DL, Basser PJ. Diffuse axonal injury has a characteristic multidimensional MRI signature in the human brain. Brain 2021; 144:800-816. [PMID: 33739417 DOI: 10.1093/brain/awaa447] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 09/11/2020] [Accepted: 10/11/2020] [Indexed: 02/01/2023] Open
Abstract
Axonal injury is a major contributor to the clinical symptomatology in patients with traumatic brain injury. Conventional neuroradiological tools, such as CT and MRI, are insensitive to diffuse axonal injury (DAI) caused by trauma. Diffusion tensor MRI parameters may change in DAI lesions; however, the nature of these changes is inconsistent. Multidimensional MRI is an emerging approach that combines T1, T2, and diffusion, and replaces voxel-averaged values with distributions, which allows selective isolation of specific potential abnormal components. By performing a combined post-mortem multidimensional MRI and histopathology study, we aimed to investigate T1-T2-diffusion changes linked to DAI and to define their histopathological correlates. Corpora callosa derived from eight subjects who had sustained traumatic brain injury, and three control brain donors underwent post-mortem ex vivo MRI at 7 T. Multidimensional, diffusion tensor, and quantitative T1 and T2 MRI data were acquired and processed. Following MRI acquisition, slices from the same tissue were tested for amyloid precursor protein (APP) immunoreactivity to define DAI severity. A robust image co-registration method was applied to accurately match MRI-derived parameters and histopathology, after which 12 regions of interest per tissue block were selected based on APP density, but blind to MRI. We identified abnormal multidimensional T1-T2, diffusion-T2, and diffusion-T1 components that are strongly associated with DAI and used them to generate axonal injury images. We found that compared to control white matter, mild and severe DAI lesions contained significantly larger abnormal T1-T2 component (P = 0.005 and P < 0.001, respectively), and significantly larger abnormal diffusion-T2 component (P = 0.005 and P < 0.001, respectively). Furthermore, within patients with traumatic brain injury the multidimensional MRI biomarkers differentiated normal-appearing white matter from mild and severe DAI lesions, with significantly larger abnormal T1-T2 and diffusion-T2 components (P = 0.003 and P < 0.001, respectively, for T1-T2; P = 0.022 and P < 0.001, respectively, for diffusion-T2). Conversely, none of the conventional quantitative MRI parameters were able to differentiate lesions and normal-appearing white matter. Lastly, we found that the abnormal T1-T2, diffusion-T1, and diffusion-T2 components and their axonal damage images were strongly correlated with quantitative APP staining (r = 0.876, P < 0.001; r = 0.727, P < 0.001; and r = 0.743, P < 0.001, respectively), while producing negligible intensities in grey matter and in normal-appearing white matter. These results suggest that multidimensional MRI may provide non-invasive biomarkers for detection of DAI, which is the pathological substrate for neurological disorders ranging from concussion to severe traumatic brain injury.
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Affiliation(s)
- Dan Benjamini
- Section on Quantitative Imaging and Tissue Sciences, The Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.,Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF), Bethesda, MD, USA
| | - Diego Iacono
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF), Bethesda, MD, USA.,Department of Neurology, F. Edward Hébert School of Medicine, Uniformed Services University (USU), Bethesda, MD, USA.,Department of Pathology, F. Edward Hébert School of Medicine, Uniformed Services University (USU), Bethesda, MD, USA.,Neuroscience Graduate Program, Department of Anatomy, Physiology, and Genetics, F. Edward Hébert School of Medicine, Uniformed Services University (USU), Bethesda, MD, USA.,Motor Neuron Disorders Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Michal E Komlosh
- Section on Quantitative Imaging and Tissue Sciences, The Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.,Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF), Bethesda, MD, USA
| | - Daniel P Perl
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Department of Pathology, F. Edward Hébert School of Medicine, Uniformed Services University (USU), Bethesda, MD, USA
| | - David L Brody
- Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Department of Neurology, F. Edward Hébert School of Medicine, Uniformed Services University (USU), Bethesda, MD, USA.,Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Peter J Basser
- Section on Quantitative Imaging and Tissue Sciences, The Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.,Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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43
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Stone DB, Ryman SG, Hartman AP, Wertz CJ, Vakhtin AA. Specific White Matter Tracts and Diffusion Properties Predict Conversion From Mild Cognitive Impairment to Alzheimer's Disease. Front Aging Neurosci 2021; 13:711579. [PMID: 34366830 PMCID: PMC8343075 DOI: 10.3389/fnagi.2021.711579] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 06/28/2021] [Indexed: 11/24/2022] Open
Abstract
Identifying biomarkers that can assess the risk of developing Alzheimer's Disease (AD) remains a significant challenge. In this study, we investigated the integrity levels of brain white matter in 34 patients with mild cognitive impairment (MCI) who later converted to AD and 53 stable MCI patients. We used diffusion tensor imaging (DTI) and automated fiber quantification to obtain the diffusion properties of 20 major white matter tracts. To identify which tracts and diffusion measures are most relevant to AD conversion, we used support vector machines (SVMs) to classify the AD conversion and non-conversion MCI patients based on the diffusion properties of each tract individually. We found that diffusivity measures from seven white matter tracts were predictive of AD conversion with axial diffusivity being the most predictive diffusion measure. Additional analyses revealed that white matter changes in the central and parahippocampal terminal regions of the right cingulate hippocampal bundle, central regions of the right inferior frontal occipital fasciculus, and posterior and anterior regions of the left inferior longitudinal fasciculus were the best predictors of conversion from MCI to AD. An SVM based on these white matter tract regions achieved an accuracy of 0.75. These findings provide additional potential biomarkers of AD risk in MCI patients.
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44
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Major B, Symons GF, Sinclair B, O'Brien WT, Costello D, Wright DK, Clough M, Mutimer S, Sun M, Yamakawa GR, Brady RD, O'Sullivan MJ, Mychasiuk R, McDonald SJ, O'Brien TJ, Law M, Kolbe S, Shultz SR. White and Gray Matter Abnormalities in Australian Footballers With a History of Sports-Related Concussion: An MRI Study. Cereb Cortex 2021; 31:5331-5338. [PMID: 34148076 DOI: 10.1093/cercor/bhab161] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 05/13/2021] [Accepted: 05/18/2021] [Indexed: 11/13/2022] Open
Abstract
Sports-related concussion (SRC) is a form of mild traumatic brain injury that has been linked to long-term neurological abnormalities. Australian rules football is a collision sport with wide national participation and is growing in popularity worldwide. However, the chronic neurological consequences of SRC in Australian footballers remain poorly understood. This study investigated the presence of brain abnormalities in Australian footballers with a history of sports-related concussion (HoC) using multimodal MRI. Male Australian footballers with HoC (n = 26), as well as noncollision sport athletes with no HoC (n = 27), were recruited to the study. None of the footballers had sustained a concussion in the preceding 6 months, and all players were asymptomatic. Data were acquired using a 3T MRI scanner. White matter integrity was assessed using diffusion tensor imaging. Cortical thickness, subcortical volumes, and cavum septum pellucidum (CSP) were analyzed using structural MRI. Australian footballers had evidence of widespread microstructural white matter damage and cortical thinning. No significant differences were found regarding subcortical volumes or CSP. These novel findings provide evidence of persisting white and gray matter abnormalities in Australian footballers with HoC, and raise concerns related to the long-term neurological health of these athletes.
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Affiliation(s)
- Brendan Major
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Georgia F Symons
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Ben Sinclair
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Neurology, Alfred Health, Melbourne, VIC 3004, Australia
| | - William T O'Brien
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Daniel Costello
- Department of Medicine, The University of Melbourne, Parkville, VIC 3050, Australia
| | - David K Wright
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Meaghan Clough
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Steven Mutimer
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Mujun Sun
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Glenn R Yamakawa
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Rhys D Brady
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Medicine, The University of Melbourne, Parkville, VIC 3050, Australia
| | - Michael J O'Sullivan
- Department of Faculty of Medicine, UQ Centre for Clinical Research and Institute of Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Richelle Mychasiuk
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Stuart J McDonald
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Physiology, Anatomy, and Microbiology, La Trobe University, Melbourne, VIC 3086, Australia
| | - Terence J O'Brien
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Neurology, Alfred Health, Melbourne, VIC 3004, Australia.,Department of Medicine, The University of Melbourne, Parkville, VIC 3050, Australia
| | - Meng Law
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Radiology, Alfred Health, Melbourne, VIC 3004, Australia.,Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC 3800, Australia
| | - Scott Kolbe
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Sandy R Shultz
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Neurology, Alfred Health, Melbourne, VIC 3004, Australia.,Department of Medicine, The University of Melbourne, Parkville, VIC 3050, Australia
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45
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Ndode-Ekane XE, Puigferrat Pérez MDM, Di Sapia R, Lapinlampi N, Pitkänen A. Reorganization of Thalamic Inputs to Lesioned Cortex Following Experimental Traumatic Brain Injury. Int J Mol Sci 2021; 22:6329. [PMID: 34199241 PMCID: PMC8231773 DOI: 10.3390/ijms22126329] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/27/2021] [Accepted: 06/10/2021] [Indexed: 11/17/2022] Open
Abstract
Traumatic brain injury (TBI) disrupts thalamic and cortical integrity. The effect of post-injury reorganization and plasticity in thalamocortical pathways on the functional outcome remains unclear. We evaluated whether TBI causes structural changes in the thalamocortical axonal projection terminals in the primary somatosensory cortex (S1) that lead to hyperexcitability. TBI was induced in adult male Sprague Dawley rats with lateral fluid-percussion injury. A virus carrying the fluorescent-tagged opsin channel rhodopsin 2 transgene was injected into the ventroposterior thalamus. We then traced the thalamocortical pathways and analyzed the reorganization of their axonal terminals in S1. Next, we optogenetically stimulated the thalamocortical relays from the ventral posterior lateral and medial nuclei to assess the post-TBI functionality of the pathway. Immunohistochemical analysis revealed that TBI did not alter the spatial distribution or lamina-specific targeting of projection terminals in S1. TBI reduced the axon terminal density in the motor cortex by 44% and in S1 by 30%. A nematic tensor-based analysis revealed that in control rats, the axon terminals in layer V were orientated perpendicular to the pial surface (60.3°). In TBI rats their orientation was more parallel to the pial surface (5.43°, difference between the groups p < 0.05). Moreover, the level of anisotropy of the axon terminals was high in controls (0.063) compared with TBI rats (0.045, p < 0.05). Optical stimulation of the sensory thalamus increased alpha activity in electroencephalography by 312% in controls (p > 0.05) and 237% (p > 0.05) in TBI rats compared with the baseline. However, only TBI rats showed increased beta activity (33%) with harmonics at 5 Hz. Our findings indicate that TBI induces reorganization of thalamocortical axonal terminals in the perilesional cortex, which alters responses to thalamic stimulation.
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Affiliation(s)
- Xavier Ekolle Ndode-Ekane
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, FI-70211 Kuopio, Finland; (M.d.M.P.P.); (R.D.S.); (N.L.); (A.P.)
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Comparison of electrodiagnosis, neurosonography and MR neurography in localization of ulnar neuropathy at the elbow. J Neuroradiol 2021; 49:9-16. [PMID: 34023361 DOI: 10.1016/j.neurad.2021.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 03/28/2021] [Accepted: 05/04/2021] [Indexed: 11/23/2022]
Abstract
INTRODUCTION In patients with ulnar neuropathy at the elbow (UNE) the precise determination of the site of lesion is important for subsequent differential diagnostic considerations and therapeutic management. Due to a paucity of comparable data, to better define the role of different diagnostic tests, we performed the first prospective study comparing the diagnostic accuracy of short segment nerve stimulation, nerve ultrasonography, MR neurography (MRN), and diffusion tensor imaging (DTI) in patients with UNE. METHODS UNE was clinically diagnosed in 17 patients with 18 affected elbows. For all 18 affected elbows in patients and 20 elbows in 10 healthy volunteers, measurements of all different diagnostic tests were performed at six anatomical positions across the elbow with measuring points from distal (D4) to proximal (P6) in relation to the medial epicondyle (P0). Additional qualitative assessment regarding structural changes of surrounding nerve anatomy was conducted. RESULTS The difference between affected arms of patients and healthy control arms were most frequently the largest at measure intervals D2 to P0 and P0 to P2 for electrophysiological testing, or measure points P0 and P2 for all other devices, respectively. At both levels P0 and at P2, T2 contrast-to-noise ratio (CNR) of MRN and mean diffusivity (MD) of DTI-based MRN showed best accuracies. DISCUSSION This study revealed differences in diagnostic performance of tests concerning a specific location of UNE, with better results for T2 contrast to noise ratio (CNR) in MRN and mean diffusivity of DTI-based MRN. Additional testing with MRN and nerve ultrasonography is recommended to uncover anatomical changes.
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47
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Jolly AE, Bălăeţ M, Azor A, Friedland D, Sandrone S, Graham NSN, Zimmerman K, Sharp DJ. Detecting axonal injury in individual patients after traumatic brain injury. Brain 2021; 144:92-113. [PMID: 33257929 PMCID: PMC7880666 DOI: 10.1093/brain/awaa372] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 05/11/2020] [Accepted: 08/17/2020] [Indexed: 12/04/2022] Open
Abstract
Poor outcomes after traumatic brain injury (TBI) are common yet remain difficult to predict. Diffuse axonal injury is important for outcomes, but its assessment remains limited in the clinical setting. Currently, axonal injury is diagnosed based on clinical presentation, visible damage to the white matter or via surrogate markers of axonal injury such as microbleeds. These do not accurately quantify axonal injury leading to misdiagnosis in a proportion of patients. Diffusion tensor imaging provides a quantitative measure of axonal injury in vivo, with fractional anisotropy often used as a proxy for white matter damage. Diffusion imaging has been widely used in TBI but is not routinely applied clinically. This is in part because robust analysis methods to diagnose axonal injury at the individual level have not yet been developed. Here, we present a pipeline for diffusion imaging analysis designed to accurately assess the presence of axonal injury in large white matter tracts in individuals. Average fractional anisotropy is calculated from tracts selected on the basis of high test-retest reliability, good anatomical coverage and their association to cognitive and clinical impairments after TBI. We test our pipeline for common methodological issues such as the impact of varying control sample sizes, focal lesions and age-related changes to demonstrate high specificity, sensitivity and test-retest reliability. We assess 92 patients with moderate-severe TBI in the chronic phase (≥6 months post-injury), 25 patients in the subacute phase (10 days to 6 weeks post-injury) with 6-month follow-up and a large control cohort (n = 103). Evidence of axonal injury is identified in 52% of chronic and 28% of subacute patients. Those classified with axonal injury had significantly poorer cognitive and functional outcomes than those without, a difference not seen for focal lesions or microbleeds. Almost a third of patients with unremarkable standard MRIs had evidence of axonal injury, whilst 40% of patients with visible microbleeds had no diffusion evidence of axonal injury. More diffusion abnormality was seen with greater time since injury, across individuals at various chronic injury times and within individuals between subacute and 6-month scans. We provide evidence that this pipeline can be used to diagnose axonal injury in individual patients at subacute and chronic time points, and that diffusion MRI provides a sensitive and complementary measure when compared to susceptibility weighted imaging, which measures diffuse vascular injury. Guidelines for the implementation of this pipeline in a clinical setting are discussed.
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Affiliation(s)
- Amy E Jolly
- Clinical, cognitive and computational neuroimaging laboratory (C3NL), Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK.,UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, W12 0NN UK
| | - Maria Bălăeţ
- Clinical, cognitive and computational neuroimaging laboratory (C3NL), Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Adriana Azor
- Clinical, cognitive and computational neuroimaging laboratory (C3NL), Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Daniel Friedland
- Clinical, cognitive and computational neuroimaging laboratory (C3NL), Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Stefano Sandrone
- Clinical, cognitive and computational neuroimaging laboratory (C3NL), Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Neil S N Graham
- Clinical, cognitive and computational neuroimaging laboratory (C3NL), Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Karl Zimmerman
- Clinical, cognitive and computational neuroimaging laboratory (C3NL), Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - David J Sharp
- Clinical, cognitive and computational neuroimaging laboratory (C3NL), Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK.,UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, W12 0NN UK
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48
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Graham NSN, Jolly A, Zimmerman K, Bourke NJ, Scott G, Cole JH, Schott JM, Sharp DJ. Diffuse axonal injury predicts neurodegeneration after moderate-severe traumatic brain injury. Brain 2021; 143:3685-3698. [PMID: 33099608 DOI: 10.1093/brain/awaa316] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 07/16/2020] [Accepted: 08/03/2020] [Indexed: 11/14/2022] Open
Abstract
Traumatic brain injury is associated with elevated rates of neurodegenerative diseases such as Alzheimer's disease and chronic traumatic encephalopathy. In experimental models, diffuse axonal injury triggers post-traumatic neurodegeneration, with axonal damage leading to Wallerian degeneration and toxic proteinopathies of amyloid and hyperphosphorylated tau. However, in humans the link between diffuse axonal injury and subsequent neurodegeneration has yet to be established. Here we test the hypothesis that the severity and location of diffuse axonal injury predicts the degree of progressive post-traumatic neurodegeneration. We investigated longitudinal changes in 55 patients in the chronic phase after moderate-severe traumatic brain injury and 19 healthy control subjects. Fractional anisotropy was calculated from diffusion tensor imaging as a measure of diffuse axonal injury. Jacobian determinant atrophy rates were calculated from serial volumetric T1 scans as a measure of measure post-traumatic neurodegeneration. We explored a range of potential predictors of longitudinal post-traumatic neurodegeneration and compared the variance in brain atrophy that they explained. Patients showed widespread evidence of diffuse axonal injury, with reductions of fractional anisotropy at baseline and follow-up in large parts of the white matter. No significant changes in fractional anisotropy over time were observed. In contrast, abnormally high rates of brain atrophy were seen in both the grey and white matter. The location and extent of diffuse axonal injury predicted the degree of brain atrophy: fractional anisotropy predicted progressive atrophy in both whole-brain and voxelwise analyses. The strongest relationships were seen in central white matter tracts, including the body of the corpus callosum, which are most commonly affected by diffuse axonal injury. Diffuse axonal injury predicted substantially more variability in white matter atrophy than other putative clinical or imaging measures, including baseline brain volume, age, clinical measures of injury severity and microbleeds (>50% for fractional anisotropy versus <5% for other measures). Grey matter atrophy was not predicted by diffuse axonal injury at baseline. In summary, diffusion MRI measures of diffuse axonal injury are a strong predictor of post-traumatic neurodegeneration. This supports a causal link between axonal injury and the progressive neurodegeneration that is commonly seen after moderate/severe traumatic brain injury but has been of uncertain aetiology. The assessment of diffuse axonal injury with diffusion MRI is likely to improve prognostic accuracy and help identify those at greatest neurodegenerative risk for inclusion in clinical treatment trials.
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Affiliation(s)
- Neil S N Graham
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK
| | - Amy Jolly
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK
| | - Karl Zimmerman
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK
| | - Niall J Bourke
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK
| | - Gregory Scott
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK
| | - James H Cole
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.,Centre for Medical Image Computing, University College London, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - David J Sharp
- Department of Brain Sciences, Division of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute, Centre for Care, Research and Technology, London, UK.,Centre for Blast Injury Studies, Imperial College London, London, UK
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49
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van der Eerden AW, van den Heuvel TL, Perlbarg V, Vart P, Vos PE, Puybasset L, Galanaud D, Platel B, Manniesing R, Goraj BM. Traumatic Cerebral Microbleeds in the Subacute Phase Are Practical and Early Predictors of Abnormality of the Normal-Appearing White Matter in the Chronic Phase. AJNR Am J Neuroradiol 2021; 42:861-867. [PMID: 33632731 DOI: 10.3174/ajnr.a7028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 11/16/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE In the chronic phase after traumatic brain injury, DTI findings reflect WM integrity. DTI interpretation in the subacute phase is less straightforward. Microbleed evaluation with SWI is straightforward in both phases. We evaluated whether the microbleed concentration in the subacute phase is associated with the integrity of normal-appearing WM in the chronic phase. MATERIALS AND METHODS Sixty of 211 consecutive patients 18 years of age or older admitted to our emergency department ≤24 hours after moderate to severe traumatic brain injury matched the selection criteria. Standardized 3T SWI, DTI, and T1WI were obtained 3 and 26 weeks after traumatic brain injury in 31 patients and 24 healthy volunteers. At baseline, microbleed concentrations were calculated. At follow-up, mean diffusivity (MD) was calculated in the normal-appearing WM in reference to the healthy volunteers (MDz). Through linear regression, we evaluated the relation between microbleed concentration and MDz in predefined structures. RESULTS In the cerebral hemispheres, MDz at follow-up was independently associated with the microbleed concentration at baseline (left: B = 38.4 [95% CI 7.5-69.3], P = .017; right: B = 26.3 [95% CI 5.7-47.0], P = .014). No such relation was demonstrated in the central brain. MDz in the corpus callosum was independently associated with the microbleed concentration in the structures connected by WM tracts running through the corpus callosum (B = 20.0 [95% CI 24.8-75.2], P < .000). MDz in the central brain was independently associated with the microbleed concentration in the cerebral hemispheres (B = 25.7 [95% CI 3.9-47.5], P = .023). CONCLUSIONS SWI-assessed microbleeds in the subacute phase are associated with DTI-based WM integrity in the chronic phase. These associations are found both within regions and between functionally connected regions.
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Affiliation(s)
- A W van der Eerden
- From the Department of Radiology and Nuclear Medicine (A.W.v.d.E., T.L.v.d.H., B.P., R.M., B.M.G.), Radboud University Medical Center, Nijmegen, The Netherlands .,Erasmus Medical Center, Department of Radiology & Nuclear Medicine (A.W.v.d.E.), Rotterdam, The Netherlands
| | - T L van den Heuvel
- From the Department of Radiology and Nuclear Medicine (A.W.v.d.E., T.L.v.d.H., B.P., R.M., B.M.G.), Radboud University Medical Center, Nijmegen, The Netherlands
| | - V Perlbarg
- Inserm, Sorbonne Université (V.P.), CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.,BrainTale SAS (V.P.), Paris, France
| | - P Vart
- Department of Epidemiology and Biostatistics (P.V.), Radboud University Nijmegen, Nijmegen, The Netherlands
| | - P E Vos
- Department of Neurology (P.E.V.), Santiz-Slingeland Hospital, Doetinchem, The Netherlands
| | - L Puybasset
- Department of Neurosurgical ICU (L.P.), Pitié Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - D Galanaud
- Department of Neuroradiology (D.G.), Pitié Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - B Platel
- From the Department of Radiology and Nuclear Medicine (A.W.v.d.E., T.L.v.d.H., B.P., R.M., B.M.G.), Radboud University Medical Center, Nijmegen, The Netherlands
| | - R Manniesing
- From the Department of Radiology and Nuclear Medicine (A.W.v.d.E., T.L.v.d.H., B.P., R.M., B.M.G.), Radboud University Medical Center, Nijmegen, The Netherlands
| | - B M Goraj
- From the Department of Radiology and Nuclear Medicine (A.W.v.d.E., T.L.v.d.H., B.P., R.M., B.M.G.), Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Diagnostic Imaging (B.M.G.), Medical Centre of Postgraduate Education, Warsaw, Poland
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50
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Donat CK, Yanez Lopez M, Sastre M, Baxan N, Goldfinger M, Seeamber R, Müller F, Davies P, Hellyer P, Siegkas P, Gentleman S, Sharp DJ, Ghajari M. From biomechanics to pathology: predicting axonal injury from patterns of strain after traumatic brain injury. Brain 2021; 144:70-91. [PMID: 33454735 PMCID: PMC7990483 DOI: 10.1093/brain/awaa336] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 09/01/2020] [Accepted: 09/14/2020] [Indexed: 12/19/2022] Open
Abstract
The relationship between biomechanical forces and neuropathology is key to understanding traumatic brain injury. White matter tracts are damaged by high shear forces during impact, resulting in axonal injury, a key determinant of long-term clinical outcomes. However, the relationship between biomechanical forces and patterns of white matter injuries, associated with persistent diffusion MRI abnormalities, is poorly understood. This limits the ability to predict the severity of head injuries and the design of appropriate protection. Our previously developed human finite element model of head injury predicted the location of post-traumatic neurodegeneration. A similar rat model now allows us to experimentally test whether strain patterns calculated by the model predicts in vivo MRI and histology changes. Using a controlled cortical impact, mild and moderate injuries (1 and 2 mm) were performed. Focal and axonal injuries were quantified with volumetric and diffusion 9.4 T MRI at 2 weeks post injury. Detailed analysis of the corpus callosum was conducted using multi-shell diffusion MRI and histopathology. Microglia and astrocyte density, including process parameters, along with white matter structural integrity and neurofilament expression were determined by quantitative immunohistochemistry. Linear mixed effects regression analyses for strain and strain rate with the employed outcome measures were used to ascertain how well immediate biomechanics could explain MRI and histology changes. The spatial pattern of mechanical strain and strain rate in the injured cortex shows good agreement with the probability maps of focal lesions derived from volumetric MRI. Diffusion metrics showed abnormalities in the corpus callosum, indicating white matter changes in the segments subjected to high strain, as predicted by the model. The same segments also exhibited a severity-dependent increase in glia cell density, white matter thinning and reduced neurofilament expression. Linear mixed effects regression analyses showed that mechanical strain and strain rate were significant predictors of in vivo MRI and histology changes. Specifically, strain and strain rate respectively explained 33% and 28% of the reduction in fractional anisotropy, 51% and 29% of the change in neurofilament expression and 51% and 30% of microglia density changes. The work provides evidence that strain and strain rate in the first milliseconds after injury are important factors in determining patterns of glial and axonal injury and serve as experimental validators of our computational model of traumatic brain injury. Our results provide support for the use of this model in understanding the relationship of biomechanics and neuropathology and can guide the development of head protection systems, such as airbags and helmets.
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Affiliation(s)
- Cornelius K Donat
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
- Royal British Legion Centre for Blast Injury Studies, Imperial College London, London, UK
| | - Maria Yanez Lopez
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Magdalena Sastre
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Nicoleta Baxan
- Biological Imaging Centre, Central Biomedical Services, Imperial College London, London, UK
| | - Marc Goldfinger
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Reneira Seeamber
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Franziska Müller
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Polly Davies
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Peter Hellyer
- Centre for Neuroimaging Sciences, King’s College London, London, UK
| | | | - Steve Gentleman
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - David J Sharp
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
- Royal British Legion Centre for Blast Injury Studies, Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre; Imperial College London, London, UK
| | - Mazdak Ghajari
- Royal British Legion Centre for Blast Injury Studies, Imperial College London, London, UK
- Design Engineering, Imperial College London, UK
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