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Armstrong RC, Sullivan GM, Perl DP, Rosarda JD, Radomski KL. White matter damage and degeneration in traumatic brain injury. Trends Neurosci 2024; 47:677-692. [PMID: 39127568 DOI: 10.1016/j.tins.2024.07.003] [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: 04/18/2024] [Revised: 06/17/2024] [Accepted: 07/19/2024] [Indexed: 08/12/2024]
Abstract
Traumatic brain injury (TBI) is a complex condition that can resolve over time but all too often leads to persistent symptoms, and the risk of poor patient outcomes increases with aging. TBI damages neurons and long axons within white matter tracts that are critical for communication between brain regions; this causes slowed information processing and neuronal circuit dysfunction. This review focuses on white matter injury after TBI and the multifactorial processes that underlie white matter damage, potential for recovery, and progression of degeneration. A multiscale perspective across clinical and preclinical advances is presented to encourage interdisciplinary insights from whole-brain neuroimaging of white matter tracts down to cellular and molecular responses of axons, myelin, and glial cells within white matter tissue.
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Affiliation(s)
- Regina C Armstrong
- Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Military Traumatic Brain Injury Initiative (MTBI(2)), Bethesda, MD, USA.
| | - Genevieve M Sullivan
- Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Military Traumatic Brain Injury Initiative (MTBI(2)), Bethesda, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Daniel P Perl
- Pathology, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Department of Defense - Uniformed Services University Brain Tissue Repository, Bethesda, MD, USA
| | - Jessica D Rosarda
- Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Kryslaine L Radomski
- Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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Chen X, Roberts N, Zheng Q, Peng Y, Han Y, Luo Q, Feng J, Luo T, Li Y. Comparison of diffusion tensor imaging (DTI) tissue characterization parameters in white matter tracts of patients with multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD). Eur Radiol 2024; 34:5263-5275. [PMID: 38175221 DOI: 10.1007/s00330-023-10550-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/25/2023] [Accepted: 11/11/2023] [Indexed: 01/05/2024]
Abstract
OBJECTIVE To investigate the microstructural properties of T2 lesion and normal-appearing white matter (NAWM) in 20 white matter tracts between multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) and correlations between the tissue damage and clinical variables. METHODS The white matter (WM) compartment of the brain was segmented for 56 healthy controls (HC), 48 patients with MS, and 38 patients with NMOSD, and for the patients further subdivided into T2 lesion and NAWM. Subsequently, the diffusion tensor imaging (DTI) tissue characterization parameters of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were compared for 20 principal white matter tracts. The correlation between tissue damage and clinical variables was also investigated. RESULTS The higher T2 lesion volumes of 14 fibers were shown in MS compared to NMOSD. MS showed more microstructure damage in 13 fibers of T2 lesion, but similar microstructure in seven fibers compared to NMOSD. MS and NMOSD had microstructure damage of NAWM in 20 fibers compared to WM in HC, with more damage in 20 fibers in MS compared to NMOSD. MS patients showed higher correlation between the microstructure of T2 lesion areas and NAWM. The T2 lesion microstructure damage was correlated with duration and impaired cognition in MS. CONCLUSIONS Patients with MS and NMOSD show different patterns of microstructural damage in T2 lesion and NAWM areas. The prolonged disease course of MS may aggravate the microstructural damage, and the degree of microstructural damage is further related to cognitive impairment. CLINICAL RELEVANCE STATEMENT Microstructure differences between T2 lesion areas and normal-appearing white matter help distinguish multiple sclerosis and neuromyelitis optica spectrum disorder. In multiple sclerosis, lesions rather than normal-appearing white matter should be a concern, because the degree of lesion severity correlated both with normal-appearing white matter damage and cognitive impairment. KEY POINTS • Multiple sclerosis and neuromyelitis optica spectrum disorder have different damage patterns in T2 lesion and normal-appearing white matter areas. • The microstructure damage of normal-appearing white matter is correlated with the microstructure of T2 lesion in multiple sclerosis and neuromyelitis optica spectrum disorder. • The microstructure damage of T2 lesion in multiple sclerosis is correlated with duration and cognitive impairment.
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Affiliation(s)
- Xiaoya Chen
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Neil Roberts
- Edinburgh Imaging Facility QMRI, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Qiao Zheng
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yuling Peng
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yongliang Han
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Qi Luo
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jinzhou Feng
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Tianyou Luo
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Yongmei Li
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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Bang M, Heo Y, Choi TK, Lee SH. Positive Effects of Uric Acid on White Matter Microstructures and Treatment Response in Patients With Schizophrenia. Schizophr Bull 2024; 50:815-826. [PMID: 38300803 PMCID: PMC11283201 DOI: 10.1093/schbul/sbae008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia involves microstructural changes in white matter (WM) tracts. Oxidative stress is a key factor causing WM damage by hindering oligodendrocyte development and myelin maturation. Uric acid (UA), an endogenous antioxidant, may protect against oxidative stress. We investigated the effect of UA on WM connectivity in antipsychotic-naive or -free patients with early- or chronic-stage schizophrenia. STUDY DESIGN A total of 192 patients with schizophrenia (122 recent-onset [ROS] and 70 chronic [CS]) and 107 healthy controls (HCs) participated in this study. Diffusion tensor imaging data and serum UA levels at baseline were obtained. STUDY RESULTS Fractional anisotropy was lower in the widespread WM regions across the whole brain, and diffusivity measures were higher in both schizophrenia groups than in HCs. The CS group showed lower diffusivity in some WM tracts than the ROS or HC groups. The linear relationship of serum UA levels with axial and mean diffusivity in the right frontal region was significantly different between schizophrenia stages, which was driven by a negative association in the CS group. WM diffusivity associated with serum UA levels correlated with 8-week treatment responses only in patients with CS, suggesting UA to be protective against long-term schizophrenia. CONCLUSIONS UA may protect against the WM damage associated with the progression of schizophrenia by reducing oxidative stress and supporting WM repair against oxidative damage. These results provide insights into the positive role of UA and may facilitate the development of novel disease-modifying therapies.
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Affiliation(s)
- Minji Bang
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Yul Heo
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Tai Kiu Choi
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
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Yan Z, Tan Z, Zhu Q, Shi Z, Feng J, Wei Y, Yin F, Wang X, Li Y. Cross-sectional and longitudinal evaluation of white matter microstructure damage and cognitive correlations by automated fibre quantification in relapsing-remitting multiple sclerosis patients. Brain Imaging Behav 2024:10.1007/s11682-024-00893-8. [PMID: 38814544 DOI: 10.1007/s11682-024-00893-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/02/2024] [Indexed: 05/31/2024]
Abstract
The purpose of this study was to characterize whole-brain white matter (WM) fibre tracts by automated fibre quantification (AFQ), capture subtle changes cross-sectionally and longitudinally in relapsing-remitting multiple sclerosis (RRMS) patients and explore correlations between these changes and cognitive performance A total of 114 RRMS patients and 71 healthy controls (HCs) were enrolled and follow-up investigations were conducted on 46 RRMS patients. Fractional anisotropy (FA), mean diffusion (MD), axial diffusivity (AD), and radial diffusivity (RD) at each node along the 20 WM fibre tracts identified by AFQ were investigated cross-sectionally and longitudinally in entire and pointwise manners. Partial correlation analyses were performed between the abnormal metrics and cognitive performance. At baseline, compared with HCs, patients with RRMS showed a widespread decrease in FA and increases in MD, AD, and RD among tracts. In the pointwise comparisons, more detailed abnormalities were localized to specific positions. At follow-up, although there was no significant difference in the entire WM fibre tract, there was a reduction in FA in the posterior portion of the right superior longitudinal fasciculus (R_SLF) and elevations in MD and AD in the anterior and posterior portions of the right arcuate fasciculus (R_AF) in the pointwise analysis. Furthermore, the altered metrics were widely correlated with cognitive performance in RRMS patients. RRMS patients exhibited widespread WM microstructure alterations at baseline and alterations in certain regions at follow-up, and the altered metrics were widely correlated with cognitive performance in RRMS patients, which will enhance our understanding of WM microstructure damage and its cognitive correlation in RRMS patients.
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Affiliation(s)
- Zichun Yan
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, China
| | - Zeyun Tan
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, China
| | - Qiyuan Zhu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, China
| | - Zhuowei Shi
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, China
| | - Jinzhou Feng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yiqiu Wei
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, China
| | - Feiyue Yin
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, China
| | - Xiaohua Wang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, China.
- College of Medical Informatics, Chongqing Medical University, Chongqing, China.
| | - Yongmei Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, China.
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GÜNDÜZ T, SERVER S, KÜÇÜKALİ Cİ, ÖZYURT O, DEMİR GAKMAN, KÜRTÜNCÜ M. Diffusion Tensor Imaging in Parenchymal Neuro-Behçet's Disease. Noro Psikiyatr Ars 2024; 61:39-46. [PMID: 38496227 PMCID: PMC10943938 DOI: 10.29399/npa.28366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 01/10/2023] [Indexed: 03/19/2024] Open
Abstract
Introduction Parenchymal Neuro-Behçet's disease (p-NBD) usually presents with a characteristic lesion in the mesodiencephalic region. However, there is a lack of information regarding the axonal integrity of normal-appearing white matter in p-NBD. Diffusion tensor imaging (DTI) is based on the properties of diffusivity and anisotropy that indicate the integrity of axons. The primary objective of the study was to compare p-NBD patients to healthy controls using diffusion tensor magnetic resonance imaging (DTI-MRI). Methods The study enrolled parenchymal p-NBD patients who maintained stable disease status for 12 months. Healthy controls were chosen from a population with a similar age and gender distribution. Axial DTI was acquired using single-shot echo-planar imaging. Group analyses were carried out using the track-based spatial statistics tool of FMRIB software library (FSL). Correlations between DTI parameters and clinical outcomes were analyzed in the patient group. Results We recruited 12 patients with p-NBD and 12 healthy individuals. We found significant fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD) differences in the superior longitudinal fasciculus, superior corona radiata, anterior corona radiata, body and genu of the corpus callosum, external capsule, and anterior limb of the internal capsule, mainly in the frontal white matter. Conclusion Patients with p-NBD exhibit significant DTI alterations in the otherwise normal-appearing frontal association tracts. This study may contribute to a better understanding of the neuropsychological impairment pattern in patients with p-NBD, which is often associated with frontal cognitive networks.
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Affiliation(s)
- Tuncay GÜNDÜZ
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Sadık SERVER
- Department of Radiology, Istanbul Florence Nightingale Hospital, Demiroğlu Bilim University, Istanbul, Turkey
| | - Cem İsmail KÜÇÜKALİ
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
| | - Onur ÖZYURT
- Biomedical Engineering, Boğaziçi University, Istanbul, Turkey
| | - Gülşen AKMAN DEMİR
- Department of Neurology, Faculty of Medicine, Bezmialem Vakıf University, Istanbul, Turkey
| | - Murat KÜRTÜNCÜ
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
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Li Y, Xin Y, Qi MM, Wu ZY, Wang H, Zheng WC, Wang JX, Zhang DX, Zhang LM. VX-765 Alleviates Circadian Rhythm Disorder in a Rodent Model of Traumatic Brain Injury Plus Hemorrhagic Shock and Resuscitation. J Neuroimmune Pharmacol 2024; 19:3. [PMID: 38300393 DOI: 10.1007/s11481-024-10102-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 01/02/2024] [Indexed: 02/02/2024]
Abstract
Severe traumatic brain injury (TBI) can result in persistent complications, including circadian rhythm disorder, that substantially affect not only the injured people, but also the mood and social interactions with the family and the community. Pyroptosis in GFAP-positive astrocytes plays a vital role in inflammatory changes post-TBI. We determined whether VX-765, a low molecular weight caspase-1 inhibitor, has potential therapeutic value against astrocytic inflammation and pyroptosis in a rodent model of TBI plus hemorrhagic shock and resuscitation (HSR). A weight-drop plus bleeding and refusion model was used to establish traumatic exposure in rats. VX-765 (50 mg/kg) was injected via the femoral vein after resuscitation. Wheel-running activity was assessed, brain magnetic resonance images were evaluated, the expression of pyroptosis-associated molecules including cleaved caspase-1, gasdermin D (GSDMD), and interleukin-18 (IL-18) in astrocytes in the region of anterior hypothalamus, were explored 30 days post-trauma. VX-765-treated rats had significant improvement in circadian rhythm disorder, decreased mean diffusivity (MD) and mean kurtosis (MK), increased fractional anisotropy (FA), an elevated number and branches of astrocytes, and lower cleaved caspase-1, GSDMD, and IL-18 expression in astrocytes than TBI + HSR-treated rats. These results demonstrated that inhibition of pyroptosis-associated astrocytic activations in the anterior hypothalamus using VX-765 may ameliorate circadian rhythm disorder after trauma. In conclusion, we suggest that interventions targeting caspase-1-induced astrocytic pyroptosis by VX-765 are promising strategies to alleviate circadian rhythm disorder post-TBI.
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Affiliation(s)
- Yan Li
- Department of Anesthesiology, Cangzhou Central Hospital, Cangzhou, China
| | - Yue Xin
- Department of Anesthesiology, Graduated School, Hebei Medical University, Cangzhou, China
| | - Man-Man Qi
- Department of Anesthesiology, Cangzhou Central Hospital, Cangzhou, China
| | - Zhi-You Wu
- Department of Neurosurgery, Graduated School, Hebei Medical University, Cangzhou, China
| | - Han Wang
- Department of Anesthesiology, Hebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine (Cangzhou No.2 Hospital), Cangzhou, China
| | - Wei-Chao Zheng
- Department of Anesthesiology, Graduated School, Hebei Medical University, Cangzhou, China
| | - Jie-Xia Wang
- Department of Anesthesiology, Graduated School, Hebei Medical University, Cangzhou, China
| | - Dong-Xue Zhang
- Department of Gerontology, Cangzhou Central Hospital, Cangzhou, China
| | - Li-Min Zhang
- Department of Anesthesiology, Hebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine (Cangzhou No.2 Hospital), Cangzhou, China.
- Hebei Key Laboratory of Integrated Traditional and Western Medicine in Osteoarthrosis Research (Preparing), Cangzhou, China.
- Hebei Province Key Laboratory of Integrated Traditional and Western Medicine in Neurological Rehabilitation, Cangzhou, China.
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Wright AM, Wu YC, Chen NK, Wen Q. Exploring Radial Asymmetry in MR Diffusion Tensor Imaging and Its Impact on the Interpretation of Glymphatic Mechanisms. J Magn Reson Imaging 2023:10.1002/jmri.29203. [PMID: 38156600 PMCID: PMC11213825 DOI: 10.1002/jmri.29203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 12/11/2023] [Accepted: 12/11/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Diffusion imaging holds great potential for the non-invasive assessment of the glymphatic system in humans. One technique, diffusion tensor imaging along the perivascular space (DTI-ALPS), has introduced the ALPS-index, a novel metric for evaluating diffusivity within the perivascular space. However, it still needs to be established whether the observed reduction in the ALPS-index reflects axonal changes, a common occurrence in neurodegenerative diseases. PURPOSE To determine whether axonal alterations can influence change in the ALPS-index. STUDY TYPE Retrospective. POPULATION 100 participants (78 cognitively normal and 22 with mild cognitive impairments) aged 50-90 years old. FIELD STRENGTH/SEQUENCE 3T; diffusion-weighted single-shot spin-echo echo-planar imaging sequence, T1-weighted images (MP-RAGE). ASSESSMENT The ratio of two radial diffusivities of the diffusion tensor (i.e., λ2/λ3) across major white matter tracts with distinct venous/perivenous anatomy that fulfill (ALPS-tracts) and do not fulfill (control tracts) ALPS-index anatomical assumptions were analyzed. STATISTICAL TESTS To investigate the correlation between λ2/λ3 and age/cognitive function (RAVLT) while accounting for the effect of age, linear regression was implemented to remove the age effect from each variable. Pearson correlation analysis was conducted on the residuals obtained from the linear regression. Statistical significance was set at p < 0.05. RESULTS λ2 was ~50% higher than λ3 and demonstrated a consistent pattern across both ALPS and control tracts. Additionally, in both ALPS and control tracts a reduction in the λ2/λ3 ratio was observed with advancing age (r = -0.39, r = -0.29, association and forceps tract, respectively) and decreased memory function (r = 0.24, r = 0.27, association and forceps tract, respectively). DATA CONCLUSIONS The results unveil a widespread radial asymmetry of white matter tracts that changes with aging and neurodegeration. These findings highlight that the ALPS-index may not solely reflect changes in the diffusivity of the perivascular space but may also incorporate axonal contributions. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Adam M. Wright
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Yu-Chien Wu
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Nan-Kuei Chen
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, USA
| | - Qiuting Wen
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
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Cacciaguerra L, Rocca MA, Filippi M. Understanding the Pathophysiology and Magnetic Resonance Imaging of Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders. Korean J Radiol 2023; 24:1260-1283. [PMID: 38016685 PMCID: PMC10700997 DOI: 10.3348/kjr.2023.0360] [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: 04/26/2023] [Revised: 08/09/2023] [Accepted: 08/21/2023] [Indexed: 11/30/2023] Open
Abstract
Magnetic resonance imaging (MRI) has been extensively applied in the study of multiple sclerosis (MS), substantially contributing to diagnosis, differential diagnosis, and disease monitoring. MRI studies have significantly contributed to the understanding of MS through the characterization of typical radiological features and their clinical or prognostic implications using conventional MRI pulse sequences and further with the application of advanced imaging techniques sensitive to microstructural damage. Interpretation of results has often been validated by MRI-pathology studies. However, the application of MRI techniques in the study of neuromyelitis optica spectrum disorders (NMOSD) remains an emerging field, and MRI studies have focused on radiological correlates of NMOSD and its pathophysiology to aid in diagnosis, improve monitoring, and identify relevant prognostic factors. In this review, we discuss the main contributions of MRI to the understanding of MS and NMOSD, focusing on the most novel discoveries to clarify differences in the pathophysiology of focal inflammation initiation and perpetuation, involvement of normal-appearing tissue, potential entry routes of pathogenic elements into the CNS, and existence of primary or secondary mechanisms of neurodegeneration.
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Affiliation(s)
- Laura Cacciaguerra
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milano, Italy.
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Ceylan T, Akin AT, Karabulut D, Tan FC, Taşkiran M, Yakan B. Therapeutic effect of thymoquinone on brain damage caused by nonylphenol exposure in rats. J Biochem Mol Toxicol 2023; 37:e23471. [PMID: 37466128 DOI: 10.1002/jbt.23471] [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] [Received: 11/25/2022] [Revised: 06/24/2023] [Accepted: 07/08/2023] [Indexed: 07/20/2023]
Abstract
Nonylphenol (NP), causes various harmful effects such as cognitive impairment and neurotoxicity. Thymoquinone (TQ), has antioxidant, anti-inflammatory, and neuroprotective properties. In this study, our aim is to investigate the effects of TQ on the brain damage caused by NP. Corn oil was applied to the control group. NP (100 mg/kg/day) was administered to the NP and NP + TQ groups for 21 days. TQ (5 mg/kg/day) was administered to the NP + TQ and TQ groups for 7 after 21 days. At the end of the experiment, the new object recognition test was applied to the rats and the rats were killed and their brain tissues were removed. Sections taken from brain tissues were stained with hematoxylin-eosin for histopathological evaluation. In addition, neuronal nuclei (NeuN), glial fibrillary acidic protein (GFAP), Cas-3, and nerve growth factor (NGF) immunoreactivities were evaluated in brain tissue sections. In addition, malondialdehyde (MDA), superoxide dismutase (SOD), and catalase (CAT) activities were determined. Comet assay was applied to determine DNA damage in cells. The results of our study showed that NP, caused behavioral disorders and damage to the cerebral cortex in rats. This damage in the form of neuron degeneration seen in the cortex was associated with apoptosis involving Cas-3 activation, increased DNA damage, and free oxygen radicals. NP, SOD, and CAT caused a decrease in enzyme activities. In addition, the cellular protein NeuN was decreased, astrocytosis-associated GFAP was increased, and growth factor NGF was decreased. When all our evaluations are taken together, treatment with TQ showed an ameliorative effect on the behavioral impairment and brain damage caused by NP exposure.
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Affiliation(s)
- Tayfun Ceylan
- Department of Histology and Embryology, Faculty of Dentistry, Cappadocia University, Nevsehir, Turkey
- Department of Histology and Embryology, Faculty of Medicine, Erciyes University, Kayseri, Turkey
| | - Ali Tuğrul Akin
- Department of Medical Biology, Faculty of Medicine, Istinye University, Istanbul, Turkey
| | - Derya Karabulut
- Department of Histology and Embryology, Faculty of Medicine, Erciyes University, Kayseri, Turkey
| | - Fazile Cantürk Tan
- Department of Biophysics, Faculty of Medicine, Erciyes University, Kayseri, Turkey
| | - Mehmet Taşkiran
- Department of Biology, Faculty of Science, Erciyes University, Kayseri, Turkey
| | - Birkan Yakan
- Department of Histology and Embryology, Faculty of Medicine, Erciyes University, Kayseri, Turkey
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10
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Wang G, Liu X, Zhang M, Wang K, Liu C, Chen Y, Wu W, Zhao H, Xiao B, Wan L, Long L. Structural and functional changes of the cerebellum in temporal lobe epilepsy. Front Neurol 2023; 14:1213224. [PMID: 37602268 PMCID: PMC10435757 DOI: 10.3389/fneur.2023.1213224] [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: 04/27/2023] [Accepted: 07/18/2023] [Indexed: 08/22/2023] Open
Abstract
Aims This study aimed to comprehensively explore the cerebellar structural and functional changes in temporal lobe epilepsy (TLE) and its association with clinical information. Methods The SUIT toolbox was utilized to perform cerebellar volume and diffusion analysis. In addition, we extracted the average diffusion values of cerebellar peduncle tracts to investigate microstructure alterations. Seed-based whole-brain analysis was used to investigate cerebellar-cerebral functional connectivity (FC). Subgroup analyses were performed to identify the cerebellar participation in TLE with/without hippocampal sclerosis (HS)/focal-to-bilateral tonic-clonic seizure (FBTCS) and TLE with different lateralization. Results TLE showed widespread gray matter atrophy in bilateral crusII, VIIb, VIIIb, left crusI, and left VIIIa. Both voxel and tract analysis observed diffusion abnormalities in cerebellar afferent peduncles. Reduced FC between the right crus II and the left parahippocampal cortex was found in TLE. Additionally, TLE showed increased FCs between left lobules VI-VIII and cortical nodes of the dorsal attention and visual networks. Across all patients, decreased FC was associated with poorer cognitive function, while increased FCs appeared to reflect compensatory effects. The cerebellar structural changes were mainly observed in HS and FBTCS subgroups and were regardless of seizure lateralization, while cerebellar-cerebral FC alterations were similar in all subgroups. Conclusion TLE exhibited microstructural changes in the cerebellum, mainly related to HS and FBTCS. In addition, altered cerebellar-cerebral functional connectivity is associated with common cognitive alterations in TLE.
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Affiliation(s)
- Ge Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Xianghe Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Min Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Kangrun Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Chaorong Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Yayu Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Wenyue Wu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Haiting Zhao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Bo Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Lily Wan
- Department of Anatomy and Neurobiology, Central South University Xiangya Medical School, Changsha, Hunan, China
| | - Lili Long
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
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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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Burns JM, Kalinosky BT, Sloan MA, Cerna CZ, Fines DA, Valdez CM, Voorhees WB. Dilation of the superior sagittal sinus detected in rat model of mild traumatic brain injury using 1 T magnetic resonance imaging. Front Neurol 2023; 14:1045695. [PMID: 37181576 PMCID: PMC10169716 DOI: 10.3389/fneur.2023.1045695] [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: 09/15/2022] [Accepted: 03/23/2023] [Indexed: 05/16/2023] Open
Abstract
Introduction Mild traumatic brain injury (mTBI) is a common injury that can lead to temporary and, in some cases, life-long disability. Magnetic resonance imaging (MRI) is widely used to diagnose and study brain injuries and diseases, yet mTBI remains notoriously difficult to detect in structural MRI. mTBI is thought to be caused by microstructural or physiological changes in the function of the brain that cannot be adequately captured in structural imaging of the gray and white matter. However, structural MRIs may be useful in detecting significant changes in the cerebral vascular system (e.g., the blood-brain barrier (BBB), major blood vessels, and sinuses) and the ventricular system, and these changes may even be detectable in images taken by low magnetic field strength MRI scanners (<1.5T). Methods In this study, we induced a model of mTBI in the anesthetized rat animal model using a commonly used linear acceleration drop-weight technique. Using a 1T MRI scanner, the brain of the rat was imaged, without and with contrast, before and after mTBI on post-injury days 1, 2, 7, and 14 (i.e., P1, P2, P7, and P14). Results Voxel-based analyses of MRIs showed time-dependent, statistically significant T2-weighted signal hypointensities in the superior sagittal sinus (SSS) and hyperintensities of the gadolinium-enhanced T1-weighted signal in the superior subarachnoid space (SA) and blood vessels near the dorsal third ventricle. These results showed a widening, or vasodilation, of the SSS on P1 and of the SA on P1-2 on the dorsal surface of the cortex near the site of the drop-weight impact. The results also showed vasodilation of vasculature near the dorsal third ventricle and basal forebrain on P1-7. Discussion Vasodilation of the SSS and SA near the site of impact could be explained by the direct mechanical injury resulting in local changes in tissue function, oxygenation, inflammation, and blood flow dynamics. Our results agreed with literature and show that the 1T MRI scanner performs at a level comparable to higher field strength scanners for this type of research.
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Affiliation(s)
- Jennie M. Burns
- General Dynamics Information Technology, Defense Division, JBSA Fort SamHouston, TX, United States
| | - Benjamin T. Kalinosky
- General Dynamics Information Technology, Defense Division, JBSA Fort SamHouston, TX, United States
| | - Mark A. Sloan
- General Dynamics Information Technology, Defense Division, JBSA Fort SamHouston, TX, United States
| | - Cesario Z. Cerna
- General Dynamics Information Technology, Defense Division, JBSA Fort SamHouston, TX, United States
| | - David A. Fines
- General Dynamics Information Technology, Defense Division, JBSA Fort SamHouston, TX, United States
| | - Christopher M. Valdez
- Radio Frequency Bioeffects Branch, Bioeffects Division, Airman Systems Directorate, 711th Human Performance Wing, Air Force Research Laboratory, JBSA FortSam Houston, TX, United States
| | - William B. Voorhees
- Radio Frequency Bioeffects Branch, Bioeffects Division, Airman Systems Directorate, 711th Human Performance Wing, Air Force Research Laboratory, JBSA FortSam Houston, TX, United States
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13
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Wang RPH, Huang J, Chan KWY, Leung WK, Goto T, Ho YS, Chang RCC. IL-1β and TNF-α play an important role in modulating the risk of periodontitis and Alzheimer's disease. J Neuroinflammation 2023; 20:71. [PMID: 36915108 PMCID: PMC10012546 DOI: 10.1186/s12974-023-02747-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 02/21/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Systemic activation of the immune system can exert detrimental effects on the central nervous system. Periodontitis, a chronic disease of the oral cavity, is a common source of systemic inflammation. Neuroinflammation might be a result of this to accelerate progressive deterioration of neuronal functions during aging or exacerbate pre-existing neurodegenerative diseases, such as Alzheimer's disease. With advancing age, the progressive increase in the body's pro-inflammatory status favors the state of vulnerability to both periodontitis and Alzheimer's disease. In the present study, we sought to delineate the roles of cytokines in the pathogenesis of both diseases. METHODS To examine the impacts of periodontitis on the onset and progression of Alzheimer's disease, 6-month-old female 3 × Tg-AD mice and their age-matched non-transgenic mice were employed. Periodontitis was induced using two different experimental models: heat-killed bacterial-induced periodontitis and ligature-induced periodontitis. To delineate the roles of pro-inflammatory cytokines in the pathogenesis of periodontitis and Alzheimer's disease, interleukin 1 beta (IL-1β) and tumor necrosis factor-alpha (TNF-α) were also injected into the buccal mandibular vestibule of mice. RESULTS Here, we show that IL-1β and TNF-α were two of the most important and earliest cytokines upregulated upon periodontal infection. The systemic upregulation of these two cytokines promoted a pro-inflammatory environment in the brain contributing to the development of Alzheimer's disease-like pathology and cognitive dysfunctions. Periodontitis-induced systemic inflammation also enhanced brain inflammatory responses and subsequently exacerbated Alzheimer's disease pathology and cognitive impairment in 3 × Tg-AD mice. The role of inflammation in connecting periodontitis to Alzheimer's disease was further affirmed in the conventional magnetization transfer experiment in which increased glial responses resulting from periodontitis led to decreased magnetization transfer ratios in the brain of 3 × Tg-AD mice. CONCLUSIONS Systemic inflammation resulting from periodontitis contributed to the development of Alzheimer's disease tau pathology and subsequently led to cognitive decline in non-transgenic mice. It also potentiated Alzheimer's disease pathological features and exacerbated impairment of cognitive function in 3 × Tg-AD mice. Taken together, this study provides convincing evidence that systemic inflammation serves as a connecting link between periodontitis and Alzheimer's disease.
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Affiliation(s)
- Rachel Pei-Hsuan Wang
- Laboratory of Neurodegenerative Diseases, School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Laboratory Block, Rm. L4-49, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
| | - Jianpan Huang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, China
| | - Kannie Wai Yan Chan
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, China
| | - Wai Keung Leung
- Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
| | - Tetsuya Goto
- Division of Oral Anatomy and Histology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Yuen-Shan Ho
- School of Nursing, Faculty of Health and Social Sciences, Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong SAR, China
| | - Raymond Chuen-Chung Chang
- Laboratory of Neurodegenerative Diseases, School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Laboratory Block, Rm. L4-49, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China. .,State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
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14
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Sewaybricker LE, Huang A, Chandrasekaran S, Melhorn SJ, Schur EA. The Significance of Hypothalamic Inflammation and Gliosis for the Pathogenesis of Obesity in Humans. Endocr Rev 2023; 44:281-296. [PMID: 36251886 DOI: 10.1210/endrev/bnac023] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/12/2022] [Indexed: 11/19/2022]
Abstract
Accumulated preclinical literature demonstrates that hypothalamic inflammation and gliosis are underlying causal components of diet-induced obesity in rodent models. This review summarizes and synthesizes available translational data to better understand the applicability of preclinical findings to human obesity and its comorbidities. The published literature in humans includes histopathologic analyses performed postmortem and in vivo neuroimaging studies measuring indirect markers of hypothalamic tissue microstructure. Both support the presence of hypothalamic inflammation and gliosis in children and adults with obesity. Findings predominantly point to tissue changes in the region of the arcuate nucleus of the hypothalamus, although findings of altered tissue characteristics in whole hypothalamus or other hypothalamic regions also emerged. Moreover, the severity of hypothalamic inflammation and gliosis has been related to comorbid conditions, including glucose intolerance, insulin resistance, type 2 diabetes, and low testosterone levels in men, independent of elevated body adiposity. Cross-sectional findings are augmented by a small number of prospective studies suggesting that a greater degree of hypothalamic inflammation and gliosis may predict adiposity gain and worsening insulin sensitivity in susceptible individuals. In conclusion, existing human studies corroborate a large preclinical literature demonstrating that hypothalamic neuroinflammatory responses play a role in obesity pathogenesis. Extensive or permanent hypothalamic tissue remodeling may negatively affect the function of neuroendocrine regulatory circuits and promote the development and maintenance of elevated body weight in obesity and/or comorbid endocrine disorders.
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Affiliation(s)
| | - Alyssa Huang
- Department of Pediatrics, University of Washington, Division of Endocrinology and Diabetes, Seattle Children's Hospital, Seattle, WA 98015, USA
| | | | - Susan J Melhorn
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Ellen A Schur
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
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15
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Corpus callosum organization and its implication to core and co-occurring symptoms of Autism Spectrum Disorder. Brain Struct Funct 2023; 228:775-785. [PMID: 36867240 DOI: 10.1007/s00429-023-02617-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 01/31/2023] [Indexed: 03/04/2023]
Abstract
Autism Spectrum Disorder (ASD) is characterized by social interaction and communication deficits, repetitive behavior and often by co-occurring conditions such as language and non-verbal IQ development delays. Previous studies reported that those behavioral abnormalities can be associated with corpus callosum organization. However, little is known about the specific differences in white matter structure of the corpus callosum parts in children with ASD and TD peers and their relationships to core and co-occurring symptoms of ASD. The aim of the study was to investigate the volumetric and microstructural characteristics of the corpus callosum parts crucially involved in social, language, and non-verbal IQ behavior in primary-school-aged children with ASD and to assess the relationships between these characteristics and behavioral measures. 38 children (19 with ASD and 19 typically developing (TD) controls) were scanned using diffusion-weighted MRI and assessed with behavioral tests. The tractography of the corpus callosum parts were performed using Quantitative Imaging Toolkit software; diffusivity and volumetric measurements were extracted for the analysis. In the ASD group, fractional anisotropy (FA) was decreased across the supplementary motor area and the ventromedial prefrontal cortex, and axial diffusivity (AD) was reduced across each of the corpus callosum parts in comparison to the TD group. Importantly, the AD decrease was related to worse language skills and more severe autistic traits in individuals with ASD. The microstructure of the corpus callosum parts differs between children with and without ASD. Abnormalities in white matter organization of the corpus callosum parts are associated with core and co-occurring symptoms of ASD.
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16
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Rahman N, Xu K, Budde MD, Brown A, Baron CA. A longitudinal microstructural MRI dataset in healthy C57Bl/6 mice at 9.4 Tesla. Sci Data 2023; 10:94. [PMID: 36788251 PMCID: PMC9929084 DOI: 10.1038/s41597-023-01942-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 01/06/2023] [Indexed: 02/16/2023] Open
Abstract
Multimodal microstructural MRI has shown increased sensitivity and specificity to changes in various brain disease and injury models in the preclinical setting. Here, we present an in vivo longitudinal dataset, including a subset of ex vivo data, acquired as control data and to investigate microstructural changes in the healthy mouse brain. The dataset consists of structural T2-weighted imaging, magnetization transfer ratio and saturation imaging, and advanced quantitative diffusion MRI (dMRI) methods. The dMRI methods include oscillating gradient spin echo (OGSE) dMRI and microscopic anisotropy (μA) dMRI, which provide additional insight by increasing sensitivity to smaller spatial scales and disentangling fiber orientation dispersion from true microstructural changes, respectively. The technical skills required to analyze microstructural MRI data are complex and include MRI sequence development, acquisition, and computational neuroimaging expertise. Here, we share unprocessed and preprocessed data, and scalar maps of quantitative MRI metrics. We envision utility of this dataset in the microstructural MRI field to develop and test biophysical models, methods that model temporal brain dynamics, and registration and preprocessing pipelines.
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Affiliation(s)
- Naila Rahman
- Centre for Functional and Metabolic Mapping (CFMM), Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada.
| | - Kathy Xu
- Translational Neuroscience Group, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Matthew D Budde
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America
| | - Arthur Brown
- Translational Neuroscience Group, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
- Department of Anatomy and Cell Biology, University of Western Ontario, London, Ontario, Canada
| | - Corey A Baron
- Centre for Functional and Metabolic Mapping (CFMM), Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
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17
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Zheng W, Guan X, Zhang X, Gong J. Early recovery of cognition and brain plasticity after surgery in children with low-grade frontal lobe tumors. Front Pediatr 2023; 11:1127098. [PMID: 36969297 PMCID: PMC10036824 DOI: 10.3389/fped.2023.1127098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 02/14/2023] [Indexed: 03/29/2023] Open
Abstract
Background Low-grade frontal lobe tumors (LGFLT) can be cured through total resection, but surgical trauma could impair higher-order cognitive function. We aim to characterize the short-term natural cognitive recovery and brain plasticity in surgically-treated pediatric patients with LGFLT. Methods Ten pediatric patients with LGFLT were enrolled. Their cognitive function was assessed before the surgery (S0), in the first month post-surgery (S1), and 3-6 months post-surgery (S2), using the CNS Vital Signs battery. DTI and rs-fMRI were performed during the same time periods. Changes of cognition and image metrics between S1>S0 and S2>S1 were analyzed. Results The Motor Speed (MotSp) and Reaction Time (RT) scores significantly decreased in S1 and recovered in S2. Rs-fMRI showed decreased functional connectivity (FC) between the bilateral frontal lobes and bilateral caudates, putamina, and pallidi in S1>S0 (voxel threshold p -unc < 0.001 , cluster threshold p -FDR < 0.05 ). In S2>S1, FC recovery was observed in the neighboring frontal cortex areas ( p -unc < 0.001 , p -FDR < 0.05 ). Among them, the FC in the caudates-right inferior frontal gyri was positively correlated to the RT ( p -FDR < 0.05 ). A DTI Tract-based spatial statistics (TBSS) analysis showed decreased fractional anisotropy and axial diffusivity mainly in the corticospinal tracts, cingulum, internal capsule, and external capsule at 0-6 months post-surgery (TFCE- p < 0.05 ). The DTI metrics were not associated with the cognitive data. Conclusion Processing speed impairment after an LGFLT resection can recover naturally within 3-6 months in school-age children. Rs-fMRI is more sensitive to short-term brain plasticity than DTI TBSS analysis. "Map expansion" plasticity in the frontal-basal ganglia circuit may contribute to the recovery.
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Affiliation(s)
- Wenjian Zheng
- Department of Pediatric Neurosurgery, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xueyi Guan
- Department of Pediatric Neurosurgery, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Beijing, China
| | | | - Jian Gong
- Department of Pediatric Neurosurgery, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Beijing, China
- Correspondence: Jian Gong
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18
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Wang G, Song Y, Su J, Fan Z, Xu L, Fang P, Liu C, Long H, Hu C, Zhou L, Huang S, Zhou P, Wang K, Pang N, Shen H, Li S, Hu D, Xiao B, Zeng LL, Long L. Altered cerebellar-motor loop in benign adult familial myoclonic epilepsy type 1: The structural basis of cortical tremor. Epilepsia 2022; 63:3192-3203. [PMID: 36196770 DOI: 10.1111/epi.17430] [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: 07/13/2022] [Revised: 10/01/2022] [Accepted: 10/03/2022] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Cortical tremor/myoclonus is the hallmark feature of benign adult familial myoclonic epilepsy (BAFME), the mechanism of which remains elusive. A hypothesis is that a defective control in the preexisting cerebellar-motor loop drives cortical tremor. Meanwhile, the basal ganglia system might also participate in BAFME. This study aimed to discover the structural basis of cortical tremor/myoclonus in BAFME. METHODS Nineteen patients with BAFME type 1 (BAFME1) and 30 matched healthy controls underwent T1-weighted and diffusion tensor imaging scans. FreeSurfer and spatially unbiased infratentorial template (SUIT) toolboxes were utilized to assess the motor cortex and the cerebellum. Probabilistic tractography was generated for two fibers to test the hypothesis: the dentato-thalamo-(M1) (primary motor cortex) and globus pallidus internus (GPi)-thalamic projections. Average fractional anisotropy (FA), axial diffusivity (AD), mean diffusivity (MD), and radial diffusivity (RD) of each tract were extracted. RESULTS Cerebellar atrophy and dentate nucleus alteration were observed in the patients. In addition, patients with BAFME1 exhibited reduced AD and FA in the left and right dentato-thalamo-M1 nondecussating fibers, respectively false discovery rate (FDR) correction q < .05. Cerebellar projections showed negative correlations with somatosensory-evoked potential P25-N33 amplitude and were independent of disease duration and medication. BAFME1 patients also had increased FA and decreased MD in the left GPi-thalamic projection. Higher FA and lower RD in the right GPi-thalamic projection were also observed (FDR q < .05). SIGNIFICANCE The present findings support the hypothesis that the cerebello-thalamo-M1 loop might be the structural basis of cortical tremor in BAFME1. The basal ganglia system also participates in BAFME1 and probably serves a regulatory role.
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Affiliation(s)
- Ge Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Yanmin Song
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Emergency, Xiangya Hospital, Central South University, Changsha, China
| | - Jianpo Su
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Zhipeng Fan
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Lin Xu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Peng Fang
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China.,Department of Military Medical Psychology, Air Force Medical University, Xian, China
| | - Chaorong Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Hongyu Long
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Chongyu Hu
- Department of Neurology, Hunan People's Hospital, Changsha, China
| | - Luo Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Sha Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Pinting Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Kangrun Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Nan Pang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Pediatric, Xiangya Hospital, Central South University, Changsha, China
| | - Hui Shen
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Shuyu Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Dewen Hu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Bo Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Ling-Li Zeng
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Lili Long
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
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19
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Kirby ED, Frizzell TO, Grajauskas LA, Song X, Gawryluk JR, Lakhani B, Boyd L, D'Arcy RCN. Increased myelination plays a central role in white matter neuroplasticity. Neuroimage 2022; 263:119644. [PMID: 36170952 DOI: 10.1016/j.neuroimage.2022.119644] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/16/2022] [Accepted: 09/20/2022] [Indexed: 11/19/2022] Open
Abstract
White matter (WM) neuroplasticity in the human brain has been tracked non-invasively using advanced magnetic resonance imaging techniques, with increasing evidence for improved axonal transmission efficiency as a central mechanism. The current study is the culmination of a series of studies, which characterized the structure-function relationship of WM transmission efficiency in the cortico-spinal tract (CST) during motor learning. Here, we test the hypothesis that increased transmission efficiency is linked directly to increased myelination using myelin water imaging (MWI). MWI was used to evaluate neuroplasticity-related improvements in the CST. The MWI findings were then compared to diffusion tensor imaging (DTI) results, with the secondary hypothesis that radial diffusivity (RD) would have a stronger relationship than axial diffusivity (AD) if the changes were due to increased myelination. Both MWI and RD data showed the predicted pattern of significant results, strongly supporting that increased myelination plays a central role in WM neuroplasticity.
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Affiliation(s)
- Eric D Kirby
- BrainNET, Health and Technology District, Vancouver, Canada; Faculty of Individualized Interdisciplinary Studies, Simon Fraser University, Burnaby, Canada
| | - Tory O Frizzell
- BrainNET, Health and Technology District, Vancouver, Canada; Faculty of Applied Sciences, Simon Fraser University, Burnaby, Canada
| | - Lukas A Grajauskas
- Department of Biomedical, Physiology, and Kinesiology, Simon Fraser University, Burnaby, Canada; Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Xiaowei Song
- Department of Biomedical, Physiology, and Kinesiology, Simon Fraser University, Burnaby, Canada; Department of Research and Evaluation Services and Surrey Memorial Hospital, Fraser Health Authority, Surrey, Canada
| | - Jodie R Gawryluk
- Department of Psychology, University of Victoria, Victoria, Canada
| | - Bimal Lakhani
- BrainNET, Health and Technology District, Vancouver, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Lara Boyd
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Ryan C N D'Arcy
- BrainNET, Health and Technology District, Vancouver, Canada; Faculty of Applied Sciences, Simon Fraser University, Burnaby, Canada; Department of Research and Evaluation Services and Surrey Memorial Hospital, Fraser Health Authority, Surrey, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.
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20
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Cacciaguerra L, Pagani E, Radaelli M, Mesaros S, Martinelli V, Ivanovic J, Drulovic J, Filippi M, Rocca MA. MR T2-relaxation time as an indirect measure of brain water content and disease activity in NMOSD. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2022-328956. [PMID: 35483915 DOI: 10.1136/jnnp-2022-328956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 03/31/2022] [Indexed: 11/03/2022]
Abstract
OBJECTIVE Since astrocytes at the blood-brain barrier are targeted by neuromyelitis optica spectrum disorder (NMOSD), this study aims to assess whether patients with NMOSD have a subclinical accumulation of brain water and if it differs according to disease activity. METHODS Seventy-seven aquaporin-4-positive patients with NMOSD and 105 healthy controls were enrolled at two European centres. Brain dual-echo turbo spin-echo MR images were evaluated and maps of T2 relaxation time (T2rt) in the normal-appearing white matter (NAWM), grey matter and basal ganglia were obtained. Patients with a clinical relapse within 1 month before or after MRI acquisition were defined 'active'. Differences between patients and controls were assessed using z-scores of T2rt obtained with age-adjusted and sex-adjusted linear models from each site. A stepwise binary logistic regression was run on clinical and MRI variables to identify independent predictors of disease activity. RESULTS Patients had increased T2rt in both white and grey matter structures (p range: 0.014 to <0.0001). Twenty patients with NMOSD were defined active. Despite similar clinical and MRI features, active patients had a significantly increased T2rt in the NAWM and grey matter compared with those clinically stable (p range: 0.010-0.002). The stepwise binary logistic regression selected the NAWM as independently associated with disease activity (beta=2.06, SE=0.58, Nagelkerke R2=0.46, p<0.001). CONCLUSIONS In line with the research hypothesis, patients with NMOSD have increased brain T2rt. The magnitude of this alteration might be useful for identifying those patients with active disease.
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Affiliation(s)
- Laura Cacciaguerra
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Elisabetta Pagani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Marta Radaelli
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Sarlota Mesaros
- Clinic of Neurology, Faculty of Medicine, University of Belgrade, Beograd, Serbia
| | | | - Jovana Ivanovic
- Clinic of Neurology, Faculty of Medicine, University of Belgrade, Beograd, Serbia
| | - Jelena Drulovic
- Clinic of Neurology, Faculty of Medicine, University of Belgrade, Beograd, Serbia
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
- Nerorehabilitation Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurophysiology Service, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
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21
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Koppelmans V, Mulavara AP, Seidler RD, De Dios YE, Bloomberg JJ, Wood SJ. Cortical thickness of primary motor and vestibular brain regions predicts recovery from fall and balance directly after spaceflight. Brain Struct Funct 2022; 227:2073-2086. [PMID: 35469104 DOI: 10.1007/s00429-022-02492-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 03/30/2022] [Indexed: 01/02/2023]
Abstract
Motor adaptations to the microgravity environment during spaceflight allow astronauts to perform adequately in this unique environment. Upon return to Earth, this adaptation is no longer appropriate and can be disruptive for mission critical tasks. Here, we measured if metrics derived from MRI scans collected from astronauts can predict motor performance post-flight. Structural and diffusion MRI scans from 14 astronauts collected before launch, and motor measures (balance performance, speed of recovery from fall, and tandem walk step accuracy) collected pre-flight and post-flight were analyzed. Regional measures of gray matter volume (motor cortex, paracentral lobule, cerebellum), myelin density (motor cortex, paracentral lobule, corticospinal tract), and white matter microstructure (corticospinal tract) were derived as a-priori predictors. Additional whole-brain analyses of cortical thickness, cerebellar gray matter, and cortical myelin were also tested for associations with post-flight and pre-to-post-flight motor performance. The pre-selected regional measures were not significantly associated with motor behavior. However, whole-brain analyses showed that paracentral and precentral gyri thickness significantly predicted recovery from fall post-spaceflight. Thickness of vestibular and sensorimotor regions, including the posterior insula and the superior temporal gyrus, predicted balance performance post-flight and pre-to-post-flight decrements. Greater cortical thickness pre-flight predicted better performance post-flight. Regional thickness of somatosensory, motor, and vestibular brain regions has some predictive value for post-flight motor performance in astronauts, which may be used for the identification of training and countermeasure strategies targeted for maintaining operational task performance.
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Affiliation(s)
| | | | - Rachael D Seidler
- Applied Physiology and Kinesiology, College of Health and Human Performance, University of Florida, Gainesville, FL, USA
| | | | - Jacob J Bloomberg
- National Aeronautics and Space Administration Johnson Space Center, Houston, TX, USA
| | - Scott J Wood
- National Aeronautics and Space Administration Johnson Space Center, Houston, TX, USA
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22
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Maier S, Joos A, Tebartz van Elst L, Ebert D, Endres D, Domschke K, Lahmann C, Zeeck A, Runge K, Denzel D, Reisert M, Nickel K. Reduced structural connectivity in the corpus callosum in patients with anorexia nervosa. EUROPEAN EATING DISORDERS REVIEW 2022; 30:341-352. [DOI: 10.1002/erv.2894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 02/19/2022] [Accepted: 02/21/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Simon Maier
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Andreas Joos
- Department of Psychosomatic Medicine and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Ludger Tebartz van Elst
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Dieter Ebert
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Dominique Endres
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
- Center for Basics in Neuromodulation, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Claas Lahmann
- Department of Psychosomatic Medicine and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Almut Zeeck
- Department of Psychosomatic Medicine and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Kimon Runge
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Dominik Denzel
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Marco Reisert
- Department of Radiology, Medical Physics, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Kathrin Nickel
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
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23
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Grassi DC, Zaninotto AL, Feltrin FS, Macruz FBDC, Otaduy MCG, Leite CDC, Guirado VMDP, Paiva WS, Andrade CS. Longitudinal whole-brain analysis of multi-subject diffusion data in diffuse axonal injury. ARQUIVOS DE NEURO-PSIQUIATRIA 2022; 80:280-288. [DOI: 10.1590/0004-282x-anp-2020-0595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 05/30/2021] [Indexed: 11/22/2022]
Abstract
ABSTRACT Background: Diffuse axonal injury occurs with high acceleration and deceleration forces in traumatic brain injury (TBI). This lesion leads to disarrangement of the neuronal network, which can result in some degree of deficiency. The Extended Glasgow Outcome Scale (GOS-E) is the primary outcome instrument for the evaluation of TBI victims. Diffusion tensor imaging (DTI) assesses white matter (WM) microstructure based on the displacement distribution of water molecules. Objective: To investigate WM microstructure within the first year after TBI using DTI, the patient’s clinical outcomes, and associations. Methods: We scanned 20 moderate and severe TBI victims at 2 months and 1 year after the event. Imaging processing was done with the FMRIB software library; we used the tract-based spatial statistics software yielding fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) for statistical analyses. We computed the average difference between the two measures across subjects and performed a one-sample t-test and threshold-free cluster enhancement, using a corrected p-value < 0.05. Clinical outcomes were evaluated with the GOS-E. We tested for associations between outcome measures and significant mean FA clusters. Results: Significant clusters of altered FA were identified anatomically using the JHU WM atlas. We found increasing spotted areas of FA with time in the right brain hemisphere and left cerebellum. Extensive regions of increased MD, RD, and AD were observed. Patients presented an excellent overall recovery. Conclusions: There were no associations between FA and outcome scores, but we cannot exclude the existence of a small to moderate association.
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Affiliation(s)
| | | | - Fabrício Stewan Feltrin
- Universidade de São Paulo, Brazil; Universidade de São Paulo, Brazil; University of Texas Southwestern Medical Center, USA
| | | | | | | | | | | | - Celi Santos Andrade
- Universidade de São Paulo, Brazil; Universidade de São Paulo, Brazil; Alliar Group, Brazil
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24
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Rahman N, Ramnarine J, Xu K, Brown A, Baron CA. Test-Retest Reproducibility of In Vivo Magnetization Transfer Ratio and Saturation Index in Mice at 9.4 Tesla. J Magn Reson Imaging 2022; 56:893-903. [PMID: 35156740 DOI: 10.1002/jmri.28106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 01/29/2022] [Accepted: 01/31/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Magnetization transfer saturation (MTsat) imaging was developed to reduce T1 dependence and improve specificity to myelin, compared to the widely used MT ratio (MTR) approach, while maintaining a feasible scan time. As MTsat imaging is an emerging technique, the reproducibility of MTsat compared to MTR must be evaluated. PURPOSE To assess the test-retest reproducibility of MTR and MTsat in the mouse brain at 9.4 T and calculate sample sizes potentially required to detect effect sizes ranging from 6% to 14%. STUDY TYPE Prospective. SUBJECTS Twelve healthy C57Bl/6 mice. FIELD STRENGTH/SEQUENCE 9.4 T; magnetization transfer imaging using FLASH-3D Gradient Echo; T2-weighted TurboRARE spin echo. ASSESSMENT All mice were scanned at two timepoints (5 days apart). MTR and MTsat maps were analyzed using mean region-of-interest (ROIs: corpus callosum [CC], internal capsule [IC], hippocampus [HC], cortex [CX], and thalamus [TH]), and whole brain voxel-wise analysis. STATISTICAL TESTS Bland-Altman plots were used to assess biases between test-retest measurements. Test-retest reproducibility was evaluated via between and within-subject coefficients of variation (bsCV and wsCV, respectively). Sample sizes required were calculated (significance level: 95%; power: 80%), given effect sizes ranging from 6% to 14%, using both between and within-subject approaches. Results were considered statistically significant at P ≤ 0.05. RESULTS Bland-Altman plots showed negligible biases between test-retest sessions (MTR: 0.0009; MTsat: 0). ROI-based and voxel-wise CVs revealed high reproducibility for both MTR (ROI-bsCV/wsCV: CC-4.5/2.8%; IC-6.1/5.2%; HC-5.7/4.6%; CX-5.1/2.3%; TH-7.4/4.9%) and MTsat (ROI-bsCV/wsCV: CC-6.3/4.8%; IC-7.3/5.1%; HC-9.5/6.4%; CX-6.7/6.5%; TH-7.2/5.3%). With a sample size of 6, changes on the order of 15% could be detected in MTR and MTsat, both between and within subjects, while smaller changes (6%-8%) required sample sizes of 10-15 for MTR, and 15-20 for MTsat. DATA CONCLUSION MTsat exhibited comparable reproducibility to MTR, while providing sensitivity to myelin with less T1 dependence than MTR. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Naila Rahman
- Centre for Functional and Metabolic Mapping (CFMM), Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Jordan Ramnarine
- Centre for Functional and Metabolic Mapping (CFMM), Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Kathy Xu
- Translational Neuroscience Group, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Arthur Brown
- Translational Neuroscience Group, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada.,Department of Anatomy and Cell Biology, University of Western Ontario, London, Ontario, Canada
| | - Corey A Baron
- Centre for Functional and Metabolic Mapping (CFMM), Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
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25
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Nemmi F, Levardon M, Péran P. Brain-age estimation accuracy is significantly increased using multishell free-water reconstruction. Hum Brain Mapp 2022; 43:2365-2376. [PMID: 35141974 PMCID: PMC8996361 DOI: 10.1002/hbm.25792] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 01/03/2022] [Accepted: 01/10/2022] [Indexed: 12/27/2022] Open
Abstract
Although free-water diffusion reconstruction for diffusion-weighted imaging (DWI) data can be applied to both single-shell and multishell data, recent finding in synthetic data suggests that the free-water indices from single-shell acquisition should be interpreted with care, as they are heavily influenced by initialization parameters and cannot discriminate between free-water and mean diffusivity modifications. However, whether using a longer multishell acquisition protocol significantly improve reconstruction for real human MRI data is still an open question. In this study, we compare canonical diffusion tensor imaging (DTI), single-shell and multishell free-water imaging (FW) indices derived from a short, clinical compatible diffusion protocol (b = 500 s/mm2 , b = 1,000 s/mm2 , 32 directions each) on their power to predict brain age. Age was chosen as it is well-known to be related to widespread modification of the white matter and because brain-age estimation has recently been found to be relevant to several neurodegenerative diseases. We used a previously developed and validated data-driven whole-brain machine learning pipeline to directly compare the precision of brain-age estimates in a sample of 89 healthy males between 20 and 85 years old. We found that multishell FW outperform DTI indices in estimating brain age and that multishell FW, even when using low (500 ms2 ) b-values secondary shell, outperform single-shell FW. Single-shell FW led to lower brain-age estimation accuracy even of canonical DTI indices, suggesting that single-shell FW indices should be used with caution. For all considered reconstruction algorithms, the most discriminant indices were those measuring free diffusion of water in the white matter.
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Affiliation(s)
- Federico Nemmi
- Inserm Unité ToNIC, UMR 1214, CHU PURPAN - Pavillon BAUDOT, Toulouse, France
| | - Mathilde Levardon
- Inserm Unité ToNIC, UMR 1214, CHU PURPAN - Pavillon BAUDOT, Toulouse, France
| | - Patrice Péran
- Inserm Unité ToNIC, UMR 1214, CHU PURPAN - Pavillon BAUDOT, Toulouse, France
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26
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Wilde EA, Wanner I, Kenney K, Gill J, Stone JR, Disner S, Schnakers C, Meyer R, Prager EM, Haas M, Jeromin A. A Framework to Advance Biomarker Development in the Diagnosis, Outcome Prediction, and Treatment of Traumatic Brain Injury. J Neurotrauma 2022; 39:436-457. [PMID: 35057637 PMCID: PMC8978568 DOI: 10.1089/neu.2021.0099] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Elisabeth A. Wilde
- University of Utah, Neurology, 383 Colorow, Salt Lake City, Utah, United States, 84108
- VA Salt Lake City Health Care System, 20122, 500 Foothill Dr., Salt Lake City, Utah, United States, 84148-0002
| | - Ina Wanner
- UCLA, Semel Institute, NRB 260J, 635 Charles E. Young Drive South, Los Angeles, United States, 90095-7332, ,
| | - Kimbra Kenney
- Uniformed Services University of the Health Sciences, Neurology, Center for Neuroscience and Regenerative Medicine, 4301 Jones Bridge Road, Bethesda, Maryland, United States, 20814
| | - Jessica Gill
- National Institutes of Health, National Institute of Nursing Research, 1 cloister, Bethesda, Maryland, United States, 20892
| | - James R. Stone
- University of Virginia, Radiology and Medical Imaging, Box 801339, 480 Ray C. Hunt Dr. Rm. 185, Charlottesville, Virginia, United States, 22903, ,
| | - Seth Disner
- Minneapolis VA Health Care System, 20040, Minneapolis, Minnesota, United States
- University of Minnesota Medical School Twin Cities, 12269, 10Department of Psychiatry and Behavioral Sciences, Minneapolis, Minnesota, United States
| | - Caroline Schnakers
- Casa Colina Hospital and Centers for Healthcare, 6643, Pomona, California, United States
- Ronald Reagan UCLA Medical Center, 21767, Los Angeles, California, United States
| | - Restina Meyer
- Cohen Veterans Bioscience, 476204, New York, New York, United States
| | - Eric M Prager
- Cohen Veterans Bioscience, 476204, External Affairs, 535 8th Ave, New York, New York, United States, 10018
| | - Magali Haas
- Cohen Veterans Bioscience, 476204, 535 8th Avenue, 12th Floor, New York City, New York, United States, 10018,
| | - Andreas Jeromin
- Cohen Veterans Bioscience, 476204, Translational Sciences, Cambridge, Massachusetts, United States
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27
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Navas-Sánchez FJ, Marcos-Vidal L, de Blas DM, Fernández-Pena A, Alemán-Gómez Y, Guzmán-de-Villoria JA, Romero J, Catalina I, Lillo L, Muñoz-Blanco JL, Ordoñez-Ugalde A, Quintáns B, Sobrido MJ, Carmona S, Grandas F, Desco M. Tract-specific damage at spinal cord level in pure hereditary spastic paraplegia type 4: a diffusion tensor imaging study. J Neurol 2022; 269:3189-3203. [PMID: 34999956 DOI: 10.1007/s00415-021-10933-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 12/03/2021] [Accepted: 12/03/2021] [Indexed: 01/15/2023]
Abstract
BACKGROUND SPG4 is a subtype of hereditary spastic paraplegia (HSP), an upper motor neuron disorder characterized by axonal degeneration of the corticospinal tracts and the fasciculus gracilis. The few neuroimaging studies that have focused on the spinal cord in HSP are based mainly on the analysis of structural characteristics. METHODS We assessed diffusion-related characteristics of the spinal cord using diffusion tensor imaging (DTI), as well as structural and shape-related properties in 12 SPG4 patients and 14 controls. We used linear mixed effects models up to T3 in order to analyze the global effects of 'group' and 'clinical data' on structural and diffusion data. For DTI, we carried out a region of interest (ROI) analysis in native space for the whole spinal cord, the anterior and lateral funiculi, and the dorsal columns. We also performed a voxelwise analysis of the spinal cord to study local diffusion-related changes. RESULTS A reduced cross-sectional area was observed in the cervical region of SPG4 patients, with significant anteroposterior flattening. DTI analyses revealed significantly decreased fractional anisotropy (FA) and increased radial diffusivity at all the cervical and thoracic levels, particularly in the lateral funiculi and dorsal columns. The FA changes in SPG4 patients were significantly related to disease severity, measured as the Spastic Paraplegia Rating Scale score. CONCLUSIONS Our results in SPG4 indicate tract-specific axonal damage at the level of the cervical and thoracic spinal cord. This finding is correlated with the degree of motor disability.
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Affiliation(s)
- Francisco J Navas-Sánchez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain. .,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
| | - Luis Marcos-Vidal
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Departamento de Bioingeniería E Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain
| | - Daniel Martín de Blas
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Departamento de Bioingeniería E Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain
| | - Alberto Fernández-Pena
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Departamento de Bioingeniería E Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain
| | - Yasser Alemán-Gómez
- Department of Psychiatry, Centre Hospitalier Universitaire Vaudois, Prilly, Switzerland.,Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.,Medical Image Analysis Laboratory (MIAL), Centre d'Imagerie BioMédicale (CIBM), Lausanne, Switzerland
| | - Juan A Guzmán-de-Villoria
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Servicio de Radiodiagnóstico, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Julia Romero
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Servicio de Radiodiagnóstico, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Irene Catalina
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Servicio de Neurología, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Laura Lillo
- Servicio de Neurología, Hospital Ruber Internacional, Madrid, Spain
| | - José L Muñoz-Blanco
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Servicio de Neurología, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Andrés Ordoñez-Ugalde
- Instituto de Investigación Sanitaria, Hospital Clínico Universitario, Santiago de Compostela, Spain.,Laboratorio Biomolecular, Cuenca, Ecuador.,Unidad de Genética y Molecular, Hospital de Especialidades José Carrasco Arteaga, Cuenca, Ecuador
| | - Beatriz Quintáns
- Instituto de Investigación Sanitaria, Hospital Clínico Universitario, Santiago de Compostela, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER-U711), Madrid, Spain.,Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain
| | - María-Jesús Sobrido
- Instituto de Investigación Sanitaria, Hospital Clínico Universitario, Santiago de Compostela, Spain.,Instituto de Investigación Biomédica, Hospital Clínico Universitario de A Coruña, SERGAS, A Coruña, Spain
| | - Susanna Carmona
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Francisco Grandas
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Servicio de Neurología, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Manuel Desco
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr Esquerdo 46, 28007, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Departamento de Bioingeniería E Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain.,Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
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28
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Myelin imaging measures as predictors of cognitive impairment in MS patients: A hybrid PET-MRI study. Mult Scler Relat Disord 2022; 57:103331. [PMID: 35158445 DOI: 10.1016/j.msard.2021.103331] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 10/01/2021] [Accepted: 10/11/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Cognitive impairment is one of the concerns of Multiple Sclerosis (MS) and has been related to myelin loss. Different neuroimaging methods have been used to quantify myelin and relate it to cognitive dysfunctions, among them Magnetization Transfer Ratio (MTR), Diffusion Tensor Imaging (DTI), and, more recently, Positron Emission Tomography (PET) with 11C-PIB. OBJECTIVE To investigate different myelin imaging modalities as predictors of cognitive dysfunction. METHODS Fifty-one MS patients and 24 healthy controls underwent clinical and neuropsychological assessment and MTR, DTI (Axial Diffusion-AD and Fractional Anisotropy-FA maps), and 11C-PIB PET images in a PET/MR hybrid system. RESULTS MTR and DTI(FA) differed in patients with or without cognitive impairment. There was an association of DTI(FA) and DTI(AD) with cognition and psychomotor speed for progressive MS, and of 11C-PIB uptake and MTR for relapsing-remitting MS. MTR in the Thalamus (β= -0.51, p = 0.021) and Corpus Callosum (β= -0.24, p = 0.033) were predictive of cognitive impairment. DTI-FA in the Caudate (β= -26.93, p = 0.006) presented abnormal predictive result. CONCLUSION Lower myelin content by 11C-PIB uptake was associated with worse cognitive status. MTR was predictive of cognitive impairment in MS.
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29
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Hedderich DM, Menegaux A, Li H, Schmitz-Koep B, Stämpfli P, Bäuml JG, Berndt MT, Bäuerlein FJB, Grothe MJ, Dyrba M, Avram M, Boecker H, Daamen M, Zimmer C, Bartmann P, Wolke D, Sorg C. Aberrant Claustrum Microstructure in Humans after Premature Birth. Cereb Cortex 2021; 31:5549-5559. [PMID: 34171095 DOI: 10.1093/cercor/bhab178] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 04/28/2021] [Accepted: 05/19/2021] [Indexed: 01/01/2023] Open
Abstract
Several observations suggest an impact of prematurity on the claustrum. First, the claustrum's development appears to depend on transient subplate neurons of intra-uterine brain development, which are affected by prematurity. Second, the claustrum is the most densely connected region of the mammalian forebrain relative to its volume; due to its effect on pre-oligodendrocytes, prematurity impacts white matter connections and thereby the development of sources and targets of such connections, potentially including the claustrum. Third, due to its high connection degree, the claustrum contributes to general cognitive functioning (e.g., selective attention and task switching/maintaining); general cognitive functioning, however, is at risk in prematurity. Thus, we hypothesized altered claustrum structure after premature birth, with these alterations being associated with impaired general cognitive performance in premature born persons. Using T1-weighted and diffusion-weighted magnetic resonance imaging in 70 very preterm/very low-birth-weight (VP/VLBW) born adults and 87 term-born adults, we found specifically increased mean diffusivity in the claustrum of VP/VLBW adults, associated both with low birth weight and at-trend with reduced IQ. This result demonstrates altered claustrum microstructure after premature birth. Data suggest aberrant claustrum development, which is potentially related with aberrant subplate neuron and forebrain connection development of prematurity.
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Affiliation(s)
- Dennis M Hedderich
- Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Aurore Menegaux
- Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Hongwei Li
- Department of Informatics, Technical University of Munich, 85748 Garching, Germany
| | - Benita Schmitz-Koep
- Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Philipp Stämpfli
- MR-Center of the Psychiatric Hospital and the Department of Child and Adolescent Psychiatry, University of Zurich, 8032 Zurich, Switzerland
| | - Josef G Bäuml
- Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Maria T Berndt
- Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Felix J B Bäuerlein
- Max Planck Institute of Biochemistry, Department of Molecular Structural Biology, 82152 Martinsried, Germany
| | - Michel J Grothe
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, 18147 Rostock, Germany.,Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013 Sevilla, Spain
| | - Martin Dyrba
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, 18147 Rostock, Germany
| | - Mihai Avram
- Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.,Department of Psychiatry, Psychosomatics and Psychotherapy, Schleswig Holstein University Hospital, University Lübeck, 23538 Lübeck, Germany
| | - Henning Boecker
- Functional Neuroimaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, 53127 Bonn, Germany
| | - Marcel Daamen
- Functional Neuroimaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, 53127 Bonn, Germany.,Department of Neonatology, University Hospital Bonn, 53127 Bonn, Germany
| | - Claus Zimmer
- Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Peter Bartmann
- Department of Neonatology, University Hospital Bonn, 53127 Bonn, Germany
| | - Dieter Wolke
- Department of Psychology, University of Warwick, CV4 7AL, Coventry, UK.,Warwick Medical School, University of Warwick, CV4 7AL, Coventry, UK
| | - Christian Sorg
- Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.,Department of Psychiatry, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
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30
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Chen X, Roberts N, Zheng Q, Peng Y, Han Y, Luo Q, Zeng C, Wang J, Luo T, Li Y. Progressive brain microstructural damage in patients with multiple sclerosis but not in patients with neuromyelitis optica spectrum disorder: A cross-sectional and follow-up tract-based spatial statistics study. Mult Scler Relat Disord 2021; 55:103178. [PMID: 34384989 DOI: 10.1016/j.msard.2021.103178] [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: 06/20/2021] [Revised: 07/20/2021] [Accepted: 07/25/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Neuromyelitis optica spectrum disorder (NMOSD) may sometimes be misdiagnosed as multiple sclerosis (MS) because both disorders have similar clinical presentations and commonly show white matter damage in the brain. Diffusion tensor imaging (DTI) is an advanced MRI technique to assess the microstructural organization of white matter and provides greater pathological specificity than conventional MRI. In the present combined cross-sectional and longitudinal study, the novel DTI technique of Track-Based Spatial Statistics (TBSS) was used to investigate the difference of DTI parameter abnormalities between NMOSD and MS. METHODS A total of 42 patients with NMOSD, 51 patients with MS and 56 health controls (HC) were recruited and of these 14 patients with NMOSD and 13 patients with MS were also studied at follow-up after an average interval of approximately one year. Measurements of fractional anisotropy (FA), mean diffusion (MD), axial diffusivity (AD) and radial diffusivity (RD) were compared at baseline and follow-up in patients with NMOSD and MS. RESULTS Significant reduction in FA, increase in MD, AD and RD were observed in patients with MS (p < 0.05) and reduced FA was shown in NMOSD (p < 0.05) compared to HC, with all the effects, together with lesion load on T1WI and T2WI, being greater in patients with MS than in patients with NMOSD (p < 0.05). There was no significant difference in the time interval to follow-up in patients with MS (1.37 years) and NMOSD (1.25 years) (p > 0.05), during which there were significant changes in EDSS score between baseline and follow-up in NMOSD and MS patients (p < 0.05). There was a significantly reduced FA, and increased MD and RD in patients with MS (p < 0.05), but no significant changes in patients with NMOSD (p > 0.05). CONCLUSIONS Both MS and NMOSD have microstructure damage in white matter, while the progressive change in brain microstructural properties is observed in patients with MS but may not in patients with NMOSD in a short-term follow-up.
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Affiliation(s)
- Xiaoya Chen
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Neil Roberts
- Edinburgh Imaging facility QMRI, Queen's Medical Research Institute University of Edinburgh, Edinburgh, United Kingdom
| | - Qiao Zheng
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yuling Peng
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yongliang Han
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Qi Luo
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Chun Zeng
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jingjie Wang
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Tianyou Luo
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Yongmei Li
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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31
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Lack of Glutamate Receptor Subunit Expression Changes in Hippocampal Dentate Gyrus after Experimental Traumatic Brain Injury in a Rodent Model of Depression. Int J Mol Sci 2021; 22:ijms22158086. [PMID: 34360865 PMCID: PMC8347641 DOI: 10.3390/ijms22158086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/23/2021] [Accepted: 07/24/2021] [Indexed: 11/16/2022] Open
Abstract
Traumatic brain injury (TBI) affects over 69 million people annually worldwide, and those with pre-existing depression have worse recovery. The molecular mechanisms that may contribute to poor recovery after TBI with co-morbid depression have not been established. TBI and depression have many commonalities including volume changes, myelin disruption, changes in proliferation, and changes in glutamatergic signaling. We used a well-established animal model of depression, the Wistar Kyoto (WKY) rat, to elucidate changes after TBI that may influence the recovery trajectory. We compared the histological and molecular outcomes in the hippocampal dentate gyrus after experimental TBI using the lateral fluid percussion injury (LFPI) in the WKY and the parent Wistar (WIS) strain. We showed that WKY had exaggerated myelin loss after LFPI and baseline deficits in proliferation. In addition, we showed that while after LFPI WIS rats exhibited glutamate receptor subunit changes, namely increased GluN2B, the WKY rats failed to show such injury-related changes. These differential responses to LFPI helped to elucidate the molecular characteristics that influence poor recovery after TBI in those with pre-existing depression and may lead to targets for future therapeutic interventions.
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32
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Lazari A, Lipp I. Can MRI measure myelin? Systematic review, qualitative assessment, and meta-analysis of studies validating microstructural imaging with myelin histology. Neuroimage 2021; 230:117744. [PMID: 33524576 PMCID: PMC8063174 DOI: 10.1016/j.neuroimage.2021.117744] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 01/05/2021] [Accepted: 01/09/2021] [Indexed: 12/16/2022] Open
Abstract
Recent years have seen an increased understanding of the importance of myelination in healthy brain function and neuropsychiatric diseases. Non-invasive microstructural magnetic resonance imaging (MRI) holds the potential to expand and translate these insights to basic and clinical human research, but the sensitivity and specificity of different MR markers to myelination is a subject of debate. To consolidate current knowledge on the topic, we perform a systematic review and meta-analysis of studies that validate microstructural imaging by combining it with myelin histology. We find meta-analytic evidence for correlations between various myelin histology metrics and markers from different MRI modalities, including fractional anisotropy, radial diffusivity, macromolecular pool, magnetization transfer ratio, susceptibility and longitudinal relaxation rate, but not mean diffusivity. Meta-analytic correlation effect sizes range widely, between R2 = 0.26 and R2 = 0.82. However, formal comparisons between MRI-based myelin markers are limited by methodological variability, inconsistent reporting and potential for publication bias, thus preventing the establishment of a single most sensitive strategy to measure myelin with MRI. To facilitate further progress, we provide a detailed characterisation of the evaluated studies as an online resource. We also share a set of 12 recommendations for future studies validating putative MR-based myelin markers and deploying them in vivo in humans.
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Affiliation(s)
- Alberto Lazari
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Ilona Lipp
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
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33
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Tayebi M, Holdsworth SJ, Champagne AA, Cook DJ, Nielsen P, Lee TR, Wang A, Fernandez J, Shim V. The role of diffusion tensor imaging in characterizing injury patterns on athletes with concussion and subconcussive injury: a systematic review. Brain Inj 2021; 35:621-644. [PMID: 33843389 DOI: 10.1080/02699052.2021.1895313] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Traumatic brain injury (TBI) is a major public health problem. The majority of TBIs are in the form of mild TBI (also known as concussion) with sports-related concussion (SRC) receiving public attention in recent years.Here we have performed a systematic review of the literature on the use of Diffusion Tensor Imaging (DTI) on sports-related concussion and subconcussive injuries. Our review found different patterns of change in DTI parameters between concussed and subconcussed groups. The Fractional Anisotropy (FA) was either unchanged or increased for the concussion group, while the subconcussed group generally experienced a decrease in FA. A reverse pattern was observed for Mean Diffusivity (MD) - where the concussed group experienced a decrease in MD while the subconcussed group showed an increase in MD. However, in general, discrepancies were observed in the results reported in the literature - likely due to the huge variations in DTI acquisition parameters, and image processing and analysis methods used in these studies. This calls for more comprehensive and well-controlled studies in this field, including those that combine the advanced brain imaging with biomechancial modeling and kinematic sensors - to shed light on the underlying mechanisms behind the structural changes observed from the imaging studies.
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Affiliation(s)
- Maryam Tayebi
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Samantha J Holdsworth
- Department of Anatomy and Medical Imaging & Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.,Mātai Medical Research Insitute, Gisborne, New Zealand
| | - Allen A Champagne
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Douglas J Cook
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.,Department of Surgery, Queen's University, Kingston, ON, Canada
| | - Poul Nielsen
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Tae-Rin Lee
- Advanced Institute of Convergence Technology, Seoul National University, Seoul, Republic of Korea
| | - Alan Wang
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.,Department of Anatomy and Medical Imaging & Centre for Brain Research, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Justin Fernandez
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.,Department of Engineering Science, University of Auckland, Auckland, New Zealand
| | - Vickie Shim
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
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34
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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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Verboon LN, Patel HC, Greenhalgh AD. The Immune System's Role in the Consequences of Mild Traumatic Brain Injury (Concussion). Front Immunol 2021; 12:620698. [PMID: 33679762 PMCID: PMC7928307 DOI: 10.3389/fimmu.2021.620698] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 01/25/2021] [Indexed: 12/14/2022] Open
Abstract
Mild traumatic brain injury (mild TBI), often referred to as concussion, is the most common form of TBI and affects millions of people each year. A history of mild TBI increases the risk of developing emotional and neurocognitive disorders later in life that can impact on day to day living. These include anxiety and depression, as well as neurodegenerative conditions such as chronic traumatic encephalopathy (CTE) and Alzheimer's disease (AD). Actions of brain resident or peripherally recruited immune cells are proposed to be key regulators across these diseases and mood disorders. Here, we will assess the impact of mild TBI on brain and patient health, and evaluate the recent evidence for immune cell involvement in its pathogenesis.
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Affiliation(s)
- Laura N. Verboon
- Division of Infection, Immunity and Respiratory Medicine, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
| | - Hiren C. Patel
- Division of Cardiovascular Sciences, Salford Royal National Health Service Foundation Trust, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance National Health Service Group, University of Manchester, Manchester, United Kingdom
| | - Andrew D. Greenhalgh
- Division of Infection, Immunity and Respiratory Medicine, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance National Health Service Group, University of Manchester, Manchester, United Kingdom
- Lydia Becker Institute of Immunology and Inflammation, The University of Manchester, Manchester, United Kingdom
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36
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Grassi DC, Zaninotto AL, Feltrin FS, Macruz FBC, Otaduy MCG, Leite CC, Guirado VMP, Paiva WS, Santos Andrade C. Dynamic changes in white matter following traumatic brain injury and how diffuse axonal injury relates to cognitive domain. Brain Inj 2021; 35:275-284. [PMID: 33507820 DOI: 10.1080/02699052.2020.1859615] [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: 10/22/2022]
Abstract
Objective: The goal is to evaluate longitudinally with diffusion tensor imaging (DTI) the integrity of cerebral white matter in patients with moderate and severe DAI and to correlate the DTI findings with cognitive deficits.Methods: Patients with DAI (n = 20) were scanned at three timepoints (2, 6 and 12 months) after trauma. A healthy control group (n = 20) was evaluated once with the same high-field MRI scanner. The corpus callosum (CC) and the bilateral superior longitudinal fascicles (SLFs) were assessed by deterministic tractography with ExploreDTI. A neuropschychological evaluation was also performed.Results: The CC and both SLFs demonstrated various microstructural abnormalities in between-groups comparisons. All DTI parameters demonstrated changes across time in the body of the CC, while FA (fractional anisotropy) increases were seen on both SLFs. In the splenium of the CC, progressive changes in the mean diffusivity (MD) and axial diffusivity (AD) were also observed. There was an improvement in attention and memory along time. Remarkably, DTI parameters demonstrated several correlations with the cognitive domains.Conclusions: Our findings suggest that microstructural changes in the white matter are dynamic and may be detectable by DTI throughout the first year after trauma. Likewise, patients also demonstrated improvement in some cognitive skills.
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Affiliation(s)
- Daphine Centola Grassi
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Ana Luiza Zaninotto
- Speech and Feeding Disorders Lab, MGH Institute of Health Professions (MGHIHP), Boston, Massachusetts, USA.,Department of Neurology, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Fabrício Stewan Feltrin
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Fabíola Bezerra Carvalho Macruz
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Maria Concepción García Otaduy
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Claudia Costa Leite
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | | | - Wellingson Silva Paiva
- Department of Neurology, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Celi Santos Andrade
- Department of Radiology, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.,Laboratory of Medical Investigation 44, Hospital Das Clínicas, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
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Sinke MRT, Otte WM, Meerwaldt AE, Franx BAA, Ali MHM, Rakib F, van der Toorn A, van Heijningen CL, Smeele C, Ahmed T, Blezer ELA, Dijkhuizen RM. Imaging Markers for the Characterization of Gray and White Matter Changes from Acute to Chronic Stages after Experimental Traumatic Brain Injury. J Neurotrauma 2021; 38:1642-1653. [PMID: 33198560 DOI: 10.1089/neu.2020.7151] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Despite clinical symptoms, a large majority of people with mild traumatic brain injury (TBI) have normal computed tomography (CT) and magnetic resonance imaging (MRI) scans. Therefore, present-day neuroimaging tools are insufficient to diagnose or classify low grades of TBI. Advanced neuroimaging techniques, such as diffusion-weighted and functional MRI, may yield novel biomarkers that may aid in the diagnosis of TBI. Therefore, the present study had two aims: first, to characterize the development of MRI-based measures of structural and functional changes in gray and white matter regions from acute to chronic stages after mild and moderate TBI; and second, to identify the imaging markers that can most accurately predict outcome after TBI. To these aims, 52 rats underwent serial functional (resting-state) and structural (T1-, T2-, and diffusion-weighted) MRI before and 1 h, 1 day, 1 week, 1 month and 3-4 months after mild or moderate experimental TBI. All rats underwent behavioral testing. Histology was performed in subgroups of rats at different time points. Early after moderate TBI, axial and radial diffusivities were increased, and fractional anisotropy was reduced in the corpus callosum and bilateral hippocampi, which normalized over time and was paralleled by recovery of sensorimotor function. Correspondingly, histology revealed decreased myelin staining early after TBI, which was not detected at chronic stages. No significant changes in individual outcome measures were detected after mild TBI. However, multivariate analysis showed a significant additive contribution of diffusion parameters in the distinction between control and different grades of TBI-affected brains. Therefore, combining multiple imaging markers may increase the sensitivity for TBI-related pathology.
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Affiliation(s)
- Michel R T Sinke
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands. ORCID ID: 0000-0002-8185-9209; 0000-0002-4623-4078
| | - Willem M Otte
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands. ORCID ID: 0000-0002-8185-9209; 0000-0002-4623-4078.,UMC Utrecht Brain Center, Department of Child Neurology, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands. ORCID ID: 0000-0002-8185-9209; 0000-0002-4623-4078
| | - Anu E Meerwaldt
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands. ORCID ID: 0000-0002-8185-9209; 0000-0002-4623-4078
| | - Bart A A Franx
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands. ORCID ID: 0000-0002-8185-9209; 0000-0002-4623-4078
| | - Mohamed H M Ali
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Doha, Qatar
| | - Fazle Rakib
- Department of Chemistry and Earth Sciences, College of Arts and Sciences, Qatar University, Doha, Qatar
| | - Annette van der Toorn
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands. ORCID ID: 0000-0002-8185-9209; 0000-0002-4623-4078
| | - Caroline L van Heijningen
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands. ORCID ID: 0000-0002-8185-9209; 0000-0002-4623-4078
| | - Christel Smeele
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands. ORCID ID: 0000-0002-8185-9209; 0000-0002-4623-4078
| | - Tariq Ahmed
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Doha, Qatar
| | - Erwin L A Blezer
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands. ORCID ID: 0000-0002-8185-9209; 0000-0002-4623-4078
| | - Rick M Dijkhuizen
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands. ORCID ID: 0000-0002-8185-9209; 0000-0002-4623-4078
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Valera EM, Joseph ALC, Snedaker K, Breiding MJ, Robertson CL, Colantonio A, Levin H, Pugh MJ, Yurgelun-Todd D, Mannix R, Bazarian JJ, Turtzo LC, Turkstra LS, Begg L, Cummings DM, Bellgowan PSF. Understanding Traumatic Brain Injury in Females: A State-of-the-Art Summary and Future Directions. J Head Trauma Rehabil 2021; 36:E1-E17. [PMID: 33369993 PMCID: PMC9070050 DOI: 10.1097/htr.0000000000000652] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
In this report, we identify existing issues and challenges related to research on traumatic brain injury (TBI) in females and provide future directions for research. In 2017, the National Institutes of Health, in partnership with the Center for Neuroscience and Regenerative Medicine and the Defense and Veterans Brain Injury Center, hosted a workshop that focused on the unique challenges facing researchers, clinicians, patients, and other stakeholders regarding TBI in women. The goal of this "Understanding TBI in Women" workshop was to bring together researchers and clinicians to identify knowledge gaps, best practices, and target populations in research on females and/or sex differences within the field of TBI. The workshop, and the current literature, clearly highlighted that females have been underrepresented in TBI studies and clinical trials and have often been excluded (or ovariectomized) in preclinical studies. Such an absence in research on females has led to an incomplete, and perhaps inaccurate, understanding of TBI in females. The presentations and discussions centered on the existing knowledge regarding sex differences in TBI research and how these differences could be incorporated in preclinical and clinical efforts going forward. Now, a little over 2 years later, we summarize the issues and state of the science that emerged from the "Understanding TBI in Women" workshop while incorporating updates where they exist. Overall, despite some progress, there remains an abundance of research focused on males and relatively little explicitly on females.
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Affiliation(s)
- Eve M Valera
- Departments of Psychiatry (Dr Valera) and Pediatrics and Emergency Medicine (Dr Mannix), Harvard Medical School, Boston, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts (Dr Valera and Ms Joseph); Department of Psychology, Suffolk University, Boston, Massachusetts (Ms Joseph); PINK Concussions, Norwalk, Connecticut (Ms Snedaker); Division of Injury Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia (Dr Breiding); US Public Health Service, Rockville, Maryland (Dr Breiding); Departments of Anesthesiology and Critical Care Medicine, and Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland (Dr Robertson); Rehabilitation Sciences Institute, Department of Occupational Science and Occupational Therapy, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (Dr Colantonio); Department of Physical Medicine & Rehabilitation, Baylor College of Medicine, Houston, Texas (Dr Levin); Michael E. Debakey Veterans Affairs Medical Center, Houston, Texas (Dr Levin); VA Salt Lake City Healthcare System, Salt Lake City, Utah (Drs Pugh and Yurgelun-Todd); Department of Medicine, University of Utah School of Medicine, Salt Lake City (Dr Pugh); Department of Psychiatry, University of Utah School of Medicine, Salt Lake City (Dr Yurgelun-Todd); Division of Emergency Medicine, Boston Children's Hospital, Boston, Massachusetts (Dr Mannix); Department of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York (Dr Bazarian); Neuroscience Center (Drs Cummings and Bellgowan), National Institute of Neurological Disorders and Stroke (Dr Turtzo), and Office of Research on Women's Health, Office of the Director/DPCPSI (Dr Begg), National Institutes of Health, Bethesda, Maryland; and School of Rehabilitation Sciences, McMaster University, Hamilton, Ontario, Canada (Dr Turkstra)
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Mancini M, Karakuzu A, Cohen-Adad J, Cercignani M, Nichols TE, Stikov N. An interactive meta-analysis of MRI biomarkers of myelin. eLife 2020; 9:e61523. [PMID: 33084576 PMCID: PMC7647401 DOI: 10.7554/elife.61523] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 10/20/2020] [Indexed: 12/17/2022] Open
Abstract
Several MRI measures have been proposed as in vivo biomarkers of myelin, each with applications ranging from plasticity to pathology. Despite the availability of these myelin-sensitive modalities, specificity and sensitivity have been a matter of discussion. Debate about which MRI measure is the most suitable for quantifying myelin is still ongoing. In this study, we performed a systematic review of published quantitative validation studies to clarify how different these measures are when compared to the underlying histology. We analyzed the results from 43 studies applying meta-analysis tools, controlling for study sample size and using interactive visualization (https://neurolibre.github.io/myelin-meta-analysis). We report the overall estimates and the prediction intervals for the coefficient of determination and find that MT and relaxometry-based measures exhibit the highest correlations with myelin content. We also show which measures are, and which measures are not statistically different regarding their relationship with histology.
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Affiliation(s)
- Matteo Mancini
- Department of Neuroscience, Brighton and Sussex Medical School, University of SussexBrightonUnited Kingdom
- NeuroPoly Lab, Polytechnique MontrealMontrealCanada
- CUBRIC, Cardiff UniversityCardiffUnited Kingdom
| | | | - Julien Cohen-Adad
- NeuroPoly Lab, Polytechnique MontrealMontrealCanada
- Functional Neuroimaging Unit, CRIUGM, Université de MontréalMontrealCanada
| | - Mara Cercignani
- Department of Neuroscience, Brighton and Sussex Medical School, University of SussexBrightonUnited Kingdom
- Neuroimaging Laboratory, Fondazione Santa LuciaRomeItaly
| | - Thomas E Nichols
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of OxfordOxfordUnited Kingdom
- Big Data Institute, University of OxfordOxfordUnited Kingdom
| | - Nikola Stikov
- NeuroPoly Lab, Polytechnique MontrealMontrealCanada
- Montreal Heart Institute, Université de MontréalMontrealCanada
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40
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Müller HP, Roselli F, Rasche V, Kassubek J. Diffusion Tensor Imaging-Based Studies at the Group-Level Applied to Animal Models of Neurodegenerative Diseases. Front Neurosci 2020; 14:734. [PMID: 32982659 PMCID: PMC7487414 DOI: 10.3389/fnins.2020.00734] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 06/22/2020] [Indexed: 12/11/2022] Open
Abstract
The understanding of human and non-human microstructural brain alterations in the course of neurodegenerative diseases has substantially improved by the non-invasive magnetic resonance imaging (MRI) technique of diffusion tensor imaging (DTI). Animal models (including disease or knockout models) allow for a variety of experimental manipulations, which are not applicable to humans. Thus, the DTI approach provides a promising tool for cross-species cross-sectional and longitudinal investigations of the neurobiological targets and mechanisms of neurodegeneration. This overview with a systematic review focuses on the principles of DTI analysis as used in studies at the group level in living preclinical models of neurodegeneration. The translational aspect from in-vivo animal models toward (clinical) applications in humans is covered as well as the DTI-based research of the non-human brains' microstructure, the methodological aspects in data processing and analysis, and data interpretation at different abstraction levels. The aim of integrating DTI in multiparametric or multimodal imaging protocols will allow the interrogation of DTI data in terms of directional flow of information and may identify the microstructural underpinnings of neurodegeneration-related patterns.
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Affiliation(s)
| | - Francesco Roselli
- Department of Neurology, University of Ulm, Ulm, Germany.,German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Volker Rasche
- Core Facility Small Animal MRI, University of Ulm, Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
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Tu TW, Kovacs ZI, Sundby M, Witko JA, Papadakis GZ, Reid WC, Hammoud DA, Frank JA. Diffusion Tensor Imaging and Chemical Exchange Saturation Transfer MRI Evaluation on the Long-Term Effects of Pulsed Focused Ultrasound and Microbubbles Blood Brain Barrier Opening in the Rat. Front Neurosci 2020; 14:908. [PMID: 32982680 PMCID: PMC7478124 DOI: 10.3389/fnins.2020.00908] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 08/05/2020] [Indexed: 11/16/2022] Open
Abstract
Blood-brain barrier opening (BBBO) with pulsed Focused Ultrasound (pFUS) and microbubbles (MB) has received increasing interest as a method for neurotherapeutics of the central nervous system. In general, conventional MRI [i.e., T2w, T2∗w, gadolinium (Gd) enhanced T1w] is used to monitor the effects of pFUS+MB on BBBO and/or assess whether sonication results in parenchymal damage. This study employed multimodal MRI techniques and 18F-Fludeoxyglucose (FDG) PET to evaluate the effects of single and multiple weekly pFUS+MB sessions on morphology and glucose utilization levels in the rat cortex and hippocampus. pFUS was performed with 0.548 MHz transducer with a slow infusion over 1 min of OptisonTM (5–8 × 107 MB) in nine focal points in cortex and four in hippocampus. During pFUS+MB treatment, Gd-T1w was performed at 3 T to confirm BBBO, along with subsequent T2w, T2∗w, DTI and glucose CEST (glucoCEST)-weighted imaging by high field 9.4 T and compared with FDG-PET and immunohistochemistry. Animals receiving a single pFUS+MB exhibited minimal hypointense voxels on T2∗w. Brains receiving multiple pFUS+MB treatments demonstrated persistent T2w and T2∗ abnormalities associated with changes in DTI and glucoCEST when compared to contralateral parenchyma. Decreased glucoCEST contrast was substantiated by FDG-PET in cortex following multiple sonications. Immunohistochemistry showed significantly dilated vessels and decreased neuronal glucose transporter (GLUT3) expression in sonicated cortex and hippocampus without changes in neuronal counts. These results suggest the importance to standardize MRI protocols in concert with advanced imaging techniques when evaluating long term effects of pFUS+MB BBBO in clinical trials for neurological diseases.
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Affiliation(s)
- Tsang-Wei Tu
- Molecular Imaging Laboratory, Department of Radiology, Howard University College of Medicine, Washington, DC, United States.,Frank Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), Bethesda, MD, United States.,Center for Neuroscience and Regenerative Medicine, Henry Jackson Foundation, Bethesda, MD, United States
| | - Zsofia I Kovacs
- Frank Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), Bethesda, MD, United States.,Institute for Biomedical Engineering, Swiss Federal Institute of Technology, Zurich, Switzerland
| | - Maggie Sundby
- Frank Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), Bethesda, MD, United States
| | - Jaclyn A Witko
- Frank Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), Bethesda, MD, United States.,Center for Neuroscience and Regenerative Medicine, Henry Jackson Foundation, Bethesda, MD, United States
| | - Georgios Z Papadakis
- Center for Infectious Disease Imaging, Clinical Center, National Institutes of Health (NIH), Bethesda, MD, United States
| | - William C Reid
- Center for Infectious Disease Imaging, Clinical Center, National Institutes of Health (NIH), Bethesda, MD, United States
| | - Dima A Hammoud
- Center for Infectious Disease Imaging, Clinical Center, National Institutes of Health (NIH), Bethesda, MD, United States
| | - Joseph A Frank
- Frank Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), Bethesda, MD, United States.,National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health (NIH), Bethesda, MD, United States
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Cacciaguerra L, Rocca MA, Storelli L, Radaelli M, Filippi M. Mapping white matter damage distribution in neuromyelitis optica spectrum disorders with a multimodal MRI approach. Mult Scler 2020; 27:841-854. [PMID: 32672089 DOI: 10.1177/1352458520941493] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND The pathogenetic mechanisms sustaining neuroinflammatory disorders may originate from the cerebrospinal fluid. OBJECTIVE To evaluate white matter damage with diffusion tensor imaging and T1/T2-weighted ratio at progressive distances from the ventricular system in neuromyelitis optica spectrum disorders and multiple sclerosis. METHODS Fractional anisotropy, mean, axial, and radial diffusivity and T1/T2-weighted ratio maps were obtained from patients with seropositive neuromyelitis optica spectrum disorders, multiple sclerosis, and healthy controls (n = 20 each group). White matter damage was assessed as function of ventricular distance within progressive concentric bands. RESULTS Compared to healthy controls, neuromyelitis optica spectrum disorders patients had similar fractional anisotropy, radial and axial diffusivity, increased mean diffusivity (p = 0.009-0.013) and reduced T1/T2-weighted ratio (p = 0.024-0.037) in all bands. In multiple sclerosis, gradient of percentage lesion volume and intra-lesional mean and axial diffusivity were higher in periventricular bands. Compared to healthy controls, multiple sclerosis patients had reduced fractional anisotropy (p = 0.001-0.043) in periventricular bands, increased mean (p < 0.001), radial (p < 0.001-0.004), and axial diffusivity (p = 0.002-0.008) and preserved T1/T2-weighted ratio in all bands. CONCLUSION White matter damage is higher at periventricular level in multiple sclerosis and diffuse in neuromyelitis optica spectrum disorders. Fractional anisotropy preservation, associated with increased mean diffusivity and reduced T1/T2-weighted ratio may reflect astrocyte damage.
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Affiliation(s)
- Laura Cacciaguerra
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy/Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Loredana Storelli
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Marta Radaelli
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy/Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy/Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
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43
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Sullivan GM, Knutsen AK, Peruzzotti-Jametti L, Korotcov A, Bosomtwi A, Dardzinski BJ, Bernstock JD, Rizzi S, Edenhofer F, Pluchino S, Armstrong RC. Transplantation of induced neural stem cells (iNSCs) into chronically demyelinated corpus callosum ameliorates motor deficits. Acta Neuropathol Commun 2020; 8:84. [PMID: 32517808 PMCID: PMC7285785 DOI: 10.1186/s40478-020-00960-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 05/30/2020] [Indexed: 12/19/2022] Open
Abstract
Multiple Sclerosis (MS) causes neurologic disability due to inflammation, demyelination, and neurodegeneration. Immunosuppressive treatments can modify the disease course but do not effectively promote remyelination or prevent long term neurodegeneration. As a novel approach to mitigate chronic stage pathology, we tested transplantation of mouse induced neural stem cells (iNSCs) into the chronically demyelinated corpus callosum (CC) in adult mice. Male C57BL/6 mice fed 0.3% cuprizone for 12 weeks exhibited CC atrophy with chronic demyelination, astrogliosis, and microglial activation. Syngeneic iNSCs were transplanted into the CC after ending cuprizone and perfused for neuropathology 2 weeks later. Magnetic resonance imaging (MRI) sequences for magnetization transfer ratio (MTR), diffusion-weighted imaging (T2), and diffusion tensor imaging (DTI) quantified CC pathology in live mice before and after iNSC transplantation. Each MRI technique detected progressive CC pathology. Mice that received iNSCs had normalized DTI radial diffusivity, and reduced astrogliosis post-imaging. A motor skill task that engages the CC is Miss-step wheel running, which demonstrated functional deficits from cuprizone demyelination. Transplantation of iNSCs resulted in marked recovery of running velocity. Neuropathology after wheel running showed that iNSC grafts significantly increased host oligodendrocytes and proliferating oligodendrocyte progenitors, while modulating axon damage. Transplanted iNSCs differentiated along astrocyte and oligodendrocyte lineages, without myelinating, and many remained neural stem cells. Our findings demonstrate the applicability of neuroimaging and functional assessments for pre-clinical interventional trials during chronic demyelination and detect improved function from iNSC transplantation. Directly reprogramming fibroblasts into iNSCs facilitates the future translation towards exogenous autologous cell therapies.
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44
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Mungoven TJ, Meylakh N, Marciszewski KK, Macefield VG, Macey PM, Henderson LA. Microstructural changes in the trigeminal nerve of patients with episodic migraine assessed using magnetic resonance imaging. J Headache Pain 2020; 21:59. [PMID: 32471359 PMCID: PMC7260805 DOI: 10.1186/s10194-020-01126-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 05/19/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND There is histological evidence of microstructural changes in the zygomaticotemporal branch of the trigeminal nerve in migraineurs. This raises the possibility that altered trigeminal nerve properties contribute to migraine pathophysiology. Whilst it is not possible to explore the anatomy of small trigeminal nerve branches it is possible to explore the anatomy of the trigeminal root entry zone using magnetic resonance imaging in humans. The aim of this investigation is to assess the microstructure of the trigeminal nerve in vivo to determine if nerve alterations occur in individuals with episodic migraine. METHODS In 39 migraineurs and 39 matched controls, T1-weighted anatomical images were used to calculate the volume (mm3) and maximal cross-sectional area of the trigeminal nerve root entry zone; diffusion tensor images were used to calculate fractional anisotropy, mean diffusion, axial diffusion and radial diffusion. RESULTS There were significant differences between the left and right nerve of controls and migraineurs with respect to volume and not cross-sectional area. Migraineurs displayed reduced axial diffusion in the right nerve compared to the left nerve, and reduced fractional anisotropy in the left nerve compared to left controls. Furthermore, although there were no differences in mean diffusion or radial diffusion, regional analysis of the nerve revealed significantly greater radial diffusion in the middle and rostral portion of the left trigeminal nerve in migraineurs compared with controls. CONCLUSIONS Migraine pathophysiology is associated with microstructural abnormalities within the trigeminal nerve that are consistent with histological evidence of altered myelin and/or organization. These peripheral nerve changes may provide further insight into migraine pathophysiology and enable a greater understanding for targeted treatments of pain alleviation.
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Affiliation(s)
- Tiffani J Mungoven
- Department of Anatomy and Histology, F13, University of Sydney, Sydney, NSW, 2006, Australia
| | - Noemi Meylakh
- Department of Anatomy and Histology, F13, University of Sydney, Sydney, NSW, 2006, Australia
| | - Kasia K Marciszewski
- Department of Anatomy and Histology, F13, University of Sydney, Sydney, NSW, 2006, Australia
| | | | - Paul M Macey
- UCLA School of Nursing and Brain Research Institute, University of California, Los Angeles, California, 90095, USA
| | - Luke A Henderson
- Department of Anatomy and Histology, F13, University of Sydney, Sydney, NSW, 2006, Australia.
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45
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Mohamed AZ, Corrigan F, Collins-Praino LE, Plummer SL, Soni N, Nasrallah FA. Evaluating spatiotemporal microstructural alterations following diffuse traumatic brain injury. Neuroimage Clin 2019; 25:102136. [PMID: 31865019 PMCID: PMC6931220 DOI: 10.1016/j.nicl.2019.102136] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 12/12/2019] [Accepted: 12/13/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Diffuse traumatic brain injury (TBI) is known to lead to microstructural changes within both white and grey matter detected in vivo with diffusion tensor imaging (DTI). Numerous studies have shown alterations in fractional anisotropy (FA) and mean diffusivity (MD) within prominent white matter tracts, but few have linked these to changes within the grey matter with confirmation via histological assessment. This is especially important as alterations in the grey matter may be predictive of long-term functional deficits. METHODS A total of 33 male Sprague Dawley rats underwent severe closed-head TBI. Eight animals underwent tensor-based morphometry (TBM) and DTI at baseline (pre-TBI), 24 hours (24 h), 7, 14, and 30 days post-TBI. Immunohistochemical analysis for the detection of ionised calcium-binding adaptor molecule 1 (IBA1) to assess microglia number and percentage of activated cells, β-amyloid precursor protein (APP) as a marker of axonal injury, and myelin basic protein (MBP) to investigate myelination was performed at each time-point. RESULTS DTI showed significant alterations in FA and RD in numerous white matter tracts including the corpus callosum, internal and external capsule, and optic tract and in the grey-matter in the cortex, thalamus, and hippocampus, with the most significant effects observed at 14 D post-TBI. TBM confirmed volumetric changes within the hippocampus and thalamus. Changes in DTI were in line with significant axonal injury noted at 24 h post-injury via immunohistochemical analysis of APP, with widespread microglial activation seen within prominent white matter tracts and the grey matter, which persisted to 30 D within the hippocampus and thalamus. Microstructural alterations in MBP+ve fibres were also noted within the hippocampus and thalamus, as well as the cortex. CONCLUSION This study confirms the widespread effects of diffuse TBI on white matter tracts which could be detected via DTI and extends these findings to key grey matter regions, with a comprehensive investigation of the whole brain. In particular, the hippocampus and thalamus appear to be vulnerable to ongoing pathology post-TBI, with DTI able to detect these alterations supporting the clinical utility in evaluating these regions post-TBI.
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Affiliation(s)
- Abdalla Z Mohamed
- Queensland Brain Institute, The University of Queensland, Building 79, Upland Road, Saint Lucia, Brisbane, QLD 4072, Australia
| | - Frances Corrigan
- Head Injury Laboratory, Division of Health Sciences, University of South Australia, Adelaide, SA 5000, Australia
| | - Lyndsey E Collins-Praino
- Cognition, Aging and Neurodegenerative Disease Laboratory (CANDL), Adelaide Medical School, University of Adelaide, Adelaide, SA 5005, Australia
| | - Stephanie L Plummer
- Translational Neuropathology Laboratory, Adelaide Medical School, University of Adelaide, Adelaide, SA 5005, Australia
| | - Neha Soni
- Queensland Brain Institute, The University of Queensland, Building 79, Upland Road, Saint Lucia, Brisbane, QLD 4072, Australia
| | - Fatima A Nasrallah
- Queensland Brain Institute, The University of Queensland, Building 79, Upland Road, Saint Lucia, Brisbane, QLD 4072, Australia.
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46
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Hankir MK, Rullmann M, Seyfried F, Preusser S, Poppitz S, Heba S, Gousias K, Hoyer J, Schütz T, Dietrich A, Müller K, Pleger B. Roux-en-Y gastric bypass surgery progressively alters radiologic measures of hypothalamic inflammation in obese patients. JCI Insight 2019; 4:131329. [PMID: 31465301 DOI: 10.1172/jci.insight.131329] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 08/23/2019] [Indexed: 12/19/2022] Open
Abstract
There is increased interest in whether bariatric surgeries such as Roux-en-Y gastric bypass (RYGB) achieve their profound weight-lowering effects in morbidly obese individuals through the brain. Hypothalamic inflammation is a well-recognized etiologic factor in obesity pathogenesis and so represents a potential target of RYGB, but clinical evidence in support of this is limited. We therefore assessed hypothalamic T2-weighted signal intensities (T2W SI) and fractional anisotropy (FA) values, 2 validated radiologic measures of brain inflammation, in relation to BMI and fat mass, as well as circulating inflammatory (C-reactive protein; CrP) and metabolic markers in a cohort of 27 RYGB patients at baseline and 6 and 12 months after surgery. We found that RYGB progressively increased hypothalamic T2W SI values, while it progressively decreased hypothalamic FA values. Regression analyses further revealed that this could be most strongly linked to plasma CrP levels, which independently predicted hypothalamic FA values when adjusting for age, sex, fat mass, and diabetes diagnosis. These findings suggest that RYGB has a major time-dependent impact on hypothalamic inflammation status, possibly by attenuating peripheral inflammation. They also suggest that hypothalamic FA values may provide a more specific radiologic measure of hypothalamic inflammation than more commonly used T2W SI values.
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Affiliation(s)
- Mohammed K Hankir
- Department of Experimental Surgery, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Michael Rullmann
- IFB AdiposityDiseases and.,Department of Nuclear Medicine, University Hospital Leipzig, Germany.,Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Collaborative Research Centre 1052 in Obesity Mechanisms, University of Leipzig, Leipzig, Germany
| | - Florian Seyfried
- Department of General, Visceral, Vascular and Pediatric Surgery, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Sven Preusser
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Sindy Poppitz
- IFB AdiposityDiseases and.,Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | | | - Konstantinos Gousias
- Department of Neurosurgery, BG University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
| | - Jana Hoyer
- Department of Behavioral Epidemiology, Department of Psychology, Technische Universität Dresden, Dresden, Germany
| | | | - Arne Dietrich
- IFB AdiposityDiseases and.,Department of Bariatric Surgery, University Hospital Leipzig, Leipzig, Germany
| | - Karsten Müller
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Burkhard Pleger
- IFB AdiposityDiseases and.,Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Collaborative Research Centre 1052 in Obesity Mechanisms, University of Leipzig, Leipzig, Germany.,Department of Neurology and
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Burks SR, Lorsung RM, Nagle ME, Tu TW, Frank JA. Focused ultrasound activates voltage-gated calcium channels through depolarizing TRPC1 sodium currents in kidney and skeletal muscle. Theranostics 2019; 9:5517-5531. [PMID: 31534500 PMCID: PMC6735402 DOI: 10.7150/thno.33876] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 05/09/2019] [Indexed: 12/26/2022] Open
Abstract
Pulsed focused ultrasound (pFUS) technology is being developed for clinical neuro/immune modulation and regenerative medicine. Biological signal transduction of pFUS forces can require mechanosensitive or voltage-gated plasma membrane ion channels. Previous studies suggested pFUS is capable of activating either channel type, but their mechanistic relationship remains ambiguous. We demonstrated pFUS bioeffects increased mesenchymal stem cell tropism (MSC) by altering molecular microenvironments through cyclooxygenase-2 (COX2)-dependent pathways. This study explored specific relationships between mechanosensitive and voltage-gated Ca2+ channels (VGCC) to initiate pFUS bioeffects that increase stem cell tropism. Methods: Murine kidneys and hamstring were given pFUS (1.15 or 1.125 MHz; 4MPa peak rarefactional pressure) under ultrasound or magnetic resonance imaging guidance. Cavitation and tissue displacement were measure by hydrophone and ultrasound radiofrequency data, respectively. Elastic modeling was performed from displacement measurements. COX2 expression and MSC tropism were evaluated in the presence of pharmacological ion channel inhibitors or in transient-receptor-potential-channel-1 (TRPC1)-deficient mice. Immunohistochemistry and co-immunoprecipitation examined physical channel relationships. Fluorescent ionophore imaging of cultured C2C12 muscle cells or TCMK1 kidney cells probed physiological interactions. Results: pFUS induced tissue deformations resulting in kPa-scale forces suggesting mechanical activation of pFUS-induced bioeffects. Inhibiting VGCC or TRPC1 in vivo blocked pFUS-induced COX2 upregulation and MSC tropism to kidneys and muscle. A TRPC1/VGCC complex was observed in plasma membranes. VGCC or TRPC1 suppression blocked pFUS-induced Ca2+ transients in TCMK1 and C2C12 cells. Additionally, Ca2+ transients were blocked by reducing transmembrane Na+ potentials and observed Na+ transients were diminished by genetic TRPC1 suppression. Conclusion: This study suggests that pFUS acoustic radiation forces mechanically activate a Na+-containing TRPC1 current upstream of VGCC rather than directly opening VGCC. The electrogenic function of TRPC1 provides potential mechanistic insight into other pFUS techniques for physiological modulation and optimization strategies for clinical implementation.
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Bodnar CN, Roberts KN, Higgins EK, Bachstetter AD. A Systematic Review of Closed Head Injury Models of Mild Traumatic Brain Injury in Mice and Rats. J Neurotrauma 2019; 36:1683-1706. [PMID: 30661454 PMCID: PMC6555186 DOI: 10.1089/neu.2018.6127] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Mild TBI (mTBI) is a significant health concern. Animal models of mTBI are essential for understanding mechanisms, and pathological outcomes, as well as to test therapeutic interventions. A variety of closed head models of mTBI that incorporate different aspects (i.e., biomechanics) of the mTBI have been reported. The aim of the current review was to compile a comprehensive list of the closed head mTBI rodent models, along with the common data elements, and outcomes, with the goal to summarize the current state of the field. Publications were identified from a search of PubMed and Web of Science and screened for eligibility following PRISMA guidelines. Articles were included that were closed head injuries in which the authors classified the injury as mild in rats or mice. Injury model and animal-specific common data elements, as well as behavioral and histological outcomes, were collected and compiled from a total of 402 articles. Our results outline the wide variety of methods used to model mTBI. We also discovered that female rodents and both young and aged animals are under-represented in experimental mTBI studies. Our findings will aid in providing context comparing the injury models and provide a starting point for the selection of the most appropriate model of mTBI to address a specific hypothesis. We believe this review will be a useful starting place for determining what has been done and what knowledge is missing in the field to reduce the burden of mTBI.
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Affiliation(s)
- Colleen N. Bodnar
- Department of Neuroscience, University of Kentucky, Lexington, Kentucky
- Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, Kentucky
| | - Kelly N. Roberts
- Department of Neuroscience, University of Kentucky, Lexington, Kentucky
- Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, Kentucky
| | - Emma K. Higgins
- Department of Neuroscience, University of Kentucky, Lexington, Kentucky
- Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, Kentucky
| | - Adam D. Bachstetter
- Department of Neuroscience, University of Kentucky, Lexington, Kentucky
- Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, Kentucky
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Finan JD. Biomechanical simulation of traumatic brain injury in the rat. Clin Biomech (Bristol, Avon) 2019; 64:114-121. [PMID: 29449041 PMCID: PMC6068009 DOI: 10.1016/j.clinbiomech.2018.01.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 12/08/2017] [Accepted: 01/18/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Traumatic brain injury poses an enormous clinical challenge. Rats are the animals most widely used in pre-clinical experiments. Biomechanical simulations of these experiments predict the distribution of mechanical stress and strain across key tissues. It is in theory possible to dramatically increase our understanding of traumatic brain injury pathophysiology by correlating stress and strain with histological and functional injury outcomes. This review summarizes the state of the art in biomechanical simulation of traumatic brain injury in the rat. It also places this body of knowledge in the context of the wider effort to understand traumatic brain injury in rats and in humans. METHODS Peer-reviewed research articles on biomechanical simulation of traumatic brain injury in the rat were reviewed and summarized. FINDINGS When mathematical models of traumatic brain injury in the rat first emerged, they relied on scant data regarding biomechanical properties. The data on relevant biomechanical properties has increased recently. However, experimental models of traumatic brain injury in the rat have also become less homogeneous. New and modified models have emerged that are biomechanically distinct from traditional models. INTERPRETATION Important progress in mathematical modeling and measurement of biomechanical properties has led to credible, predictive simulations of traditional, experimental models of traumatic brain injury in the rat, such as controlled cortical impact. However, recent trends such as the increasing popularity of closed head models and blast models create new biomechanical challenges. Investigators studying rat brain biomechanics must continue to innovate to keep pace with these developments.
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Kao YCJ, Lui YW, Lu CF, Chen HL, Hsieh BY, Chen CY. Behavioral and Structural Effects of Single and Repeat Closed-Head Injury. AJNR Am J Neuroradiol 2019; 40:601-608. [PMID: 30923084 DOI: 10.3174/ajnr.a6014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 02/16/2019] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The effects of multiple head impacts, even without detectable primary injury, on subsequent behavioral impairment and structural abnormality is yet well explored. Our aim was to uncover the dynamic changes and long-term effects of single and repetitive head injury without focal contusion on tissue microstructure and macrostructure. MATERIALS AND METHODS We introduced a repetitive closed-head injury rodent model (n = 70) without parenchymal lesions. We performed a longitudinal MR imaging study during a 50-day study period (T2-weighted imaging, susceptibility-weighted imaging, and diffusion tensor imaging) as well as sequential behavioral assessment. Immunohistochemical staining for astrogliosis was examined in a subgroup of animals. Paired and independent t tests were used to evaluate the outcome change after injury and the cumulative effects of impact load, respectively. RESULTS There was no gross morphologic evidence for head injury such as skull fracture, contusion, or hemorrhage on micro-CT and MR imaging. A significant decrease of white matter fractional anisotropy from day 21 on and an increase of gray matter fractional anisotropy from day 35 on were observed. Smaller mean cortical volume in the double-injury group was shown at day 50 compared with sham and single injury (P < .05). Behavioral deficits (P < .05) in neurologic outcome, balance, and locomotor activity were also aggravated after double injury. Histologic analysis showed astrogliosis 24 hours after injury, which persisted throughout the study period. CONCLUSIONS There are measurable and dynamic changes in microstructure, cortical volume, behavior, and histopathology after both single and double injury, with more severe effects seen after double injury. This work bridges cross-sectional evidence from human subject and pathologic studies using animal models with a multi-time point, longitudinal research paradigm.
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Affiliation(s)
- Y-C J Kao
- From the Neuroscience Research Center (Y.-C.J.K., C.-Y.C.).,Translational Imaging Research Center (Y.-C.J.K., C.-Y.C.), Taipei Medical University, Taipei, Taiwan.,Department of Radiology (Y.-C.J.K., C.-Y.C.), School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.,Radiogenomic Research Center (Y.-C.J.K., C.-Y.C.), Taipei Medical University Hospital, Taipei, Taiwan
| | - Y W Lui
- Department of Radiology (Y.W.L.), NYU School of Medicine/NYU Langone Health, New York, New York
| | - C-F Lu
- Department of Biomedical Imaging and Radiological Sciences (C.-F.L.), National Yang-Ming University, Taipei, Taiwan
| | - H-L Chen
- Departments of Medical Research (H.-L.C.)
| | - B-Y Hsieh
- Department of Biomedical Imaging and Radiological Science (B.-Y.H.), China Medical University, Taichung, Taiwan
| | - C-Y Chen
- From the Neuroscience Research Center (Y.-C.J.K., C.-Y.C.) .,Translational Imaging Research Center (Y.-C.J.K., C.-Y.C.), Taipei Medical University, Taipei, Taiwan.,Department of Radiology (Y.-C.J.K., C.-Y.C.), School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.,Medical Imaging (C.-Y.C.).,Radiogenomic Research Center (Y.-C.J.K., C.-Y.C.), Taipei Medical University Hospital, Taipei, Taiwan
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