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Zhu Z, Zhang Y, Li C, Guo W, Chen Z, Chen W, Li S, Wang N, Chen X, Fu Y. Paramagnetic rim lesions as a biomarker to discriminate between multiple sclerosis and cerebral small vessel disease. Front Neurol 2024; 15:1429698. [PMID: 39081339 PMCID: PMC11286476 DOI: 10.3389/fneur.2024.1429698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 07/01/2024] [Indexed: 08/02/2024] Open
Abstract
Background Multiple sclerosis (MS) and Cerebral Small Vessel Disease (CSVD) exhibit some similarities in Magnetic resonance imaging (MRI), potentially leading to misdiagnosis and delaying effective treatment windows. It is unclear whether CSVD can be detected with Paramagnetic Rim Lesions (PRL), which is special in MS. Objective We aimed to investigate whether PRL can serve as a neuroimaging marker for discriminating between MS and CSVD. Methods In this retrospective study, 49 MS and 104 CSVD patients underwent 3.0 T Magnetic resonance imaging (MRI). Visual assessment of 37 MS patients and 89 CSVD patients with or without lacunes, cerebral microbleeds (CMBs), enlarged perivascular spaces (EPVS), white matter hyperintensity (WMH), central vein sign (CVS), and PRL. The distribution and number of PRL were then counted. Results Our study found that PRL was detected in over half of the MS patients but was entirely absent in CSVD patients (78.38 vs. 0%, p < 0.0001), and PRL showed high specificity with good sensitivity in discriminating between MS and CSVD (sensitivity: 78.38%, specificity: 100%, AUC: 0.96). Conclusion Paramagnetic Rim Lesions is a special imaging feature in MS, absent in CSVD. Detection of PRL can be very helpful in the clinical management of MS and CSVD.
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Affiliation(s)
- Zhibao Zhu
- Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- Department of Neurology, Fujian Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou, Fujian, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yuanyuan Zhang
- Department of Neurology, Fujian Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou, Fujian, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Chun Li
- Department of Neurology, Fujian Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou, Fujian, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Wenliang Guo
- Department of Neurology, Fujian Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou, Fujian, China
| | - Zhili Chen
- Department of Neurology, Fujian Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou, Fujian, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Wei Chen
- Department of Neurology, Fujian Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou, Fujian, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Shaowu Li
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ning Wang
- Department of Neurology, Fujian Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou, Fujian, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Xiaochun Chen
- Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou, Fujian, China
| | - Ying Fu
- Department of Neurology, Fujian Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou, Fujian, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
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Perosa V, Auger CA, Zanon Zotin MC, Oltmer J, Frosch MP, Viswanathan A, Greenberg SM, van Veluw SJ. Histopathological Correlates of Lobar Microbleeds in False-Positive Cerebral Amyloid Angiopathy Cases. Ann Neurol 2023; 94:856-870. [PMID: 37548609 DOI: 10.1002/ana.26761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 07/05/2023] [Accepted: 07/31/2023] [Indexed: 08/08/2023]
Abstract
OBJECTIVE A definite diagnosis of cerebral amyloid angiopathy (CAA), characterized by the accumulation of amyloid β in walls of cerebral small vessels, can only be obtained through pathological examination. A diagnosis of probable CAA during life relies on the presence of hemorrhagic markers, including lobar cerebral microbleeds (CMBs). The aim of this project was to study the histopathological correlates of lobar CMBs in false-positive CAA cases. METHODS In 3 patients who met criteria for probable CAA during life, but showed no CAA upon neuropathological examination, lobar CMBs were counted on ex vivo 3T magnetic resonance imaging (MRI) and on ex vivo 7T MRI. Areas with lobar CMBs were next sampled and cut into serial sections, on which the CMBs were then identified. RESULTS Collectively, there were 25 lobar CMBs on in vivo MRI and 22 on ex vivo 3T MRI of the analyzed hemispheres. On ex vivo MRI, we targeted 12 CMBs for sampling, and definite histopathological correlates were retrieved for 9 of them, of which 7 were true CMBs. No CAA was found on any of the serial sections. The "culprit vessels" associated with the true CMBs instead showed moderate to severe arteriolosclerosis. Furthermore, CMBs in false-positive CAA cases tended to be located more often in the juxtacortical or subcortical white matter than in the cortical ribbon. INTERPRETATION These findings suggest that arteriolosclerosis can generate lobar CMBs and that more detailed investigations into the exact localization of CMBs with respect to the cortical ribbon could potentially aid the diagnosis of CAA during life. ANN NEUROL 2023;94:856-870.
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Affiliation(s)
- Valentina Perosa
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Corinne A Auger
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Maria Clara Zanon Zotin
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Imaging Sciences and Medical Physics, Department of Medical Imaging, Hematology, and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Jan Oltmer
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Matthew P Frosch
- Department of Neuropathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Steven M Greenberg
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Susanne J van Veluw
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
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Martínez Camblor L, Peña Suárez JM, Martínez-Cachero García M, Santamarta Liébana E, Rodríguez Castro J, Saiz Ayala A. Cerebral microbleeds. Utility of SWI sequences. RADIOLOGIA 2023; 65:362-375. [PMID: 37516489 DOI: 10.1016/j.rxeng.2022.12.006] [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: 10/05/2022] [Accepted: 12/12/2022] [Indexed: 07/31/2023]
Abstract
OBJECTIVES Define the concept of cerebral microbleeds (CMBs) and describe the most useful MRI sequences for detecting this finding. Review the entities that most frequently present with CMBs and that may benefit from the use of susceptibility-weighted imaging (SWI) sequences. CONCLUSIONS SWI is a useful MRI sequence for the detection and characterization of microhemorrhages, venous structures and other sources of susceptibility in imaging. SWI is particularly sensitive to local magnetic field inhomogeneities generated by certain substances and is superior to T2* GRE sequences for this assessment. CMBs may be seen in different neurologic conditions, in certain infrequent clinical contexts and have a key role as a biomarker status in gliomas (ITTS) and as a marker of inflammatory activity in multiple sclerosis.
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Affiliation(s)
- L Martínez Camblor
- Servicio de Radiodiagnóstico, Hospital Universitario Central de Asturias, Oviedo, Spain.
| | - J M Peña Suárez
- Servicio de Radiodiagnóstico, Hospital Universitario Central de Asturias, Oviedo, Spain
| | | | - E Santamarta Liébana
- Servicio de Radiodiagnóstico, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - J Rodríguez Castro
- Servicio de Radiodiagnóstico, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - A Saiz Ayala
- Servicio de Radiodiagnóstico, Hospital Universitario Central de Asturias, Oviedo, Spain
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Bartnik A, Fuchs TA, Ashton K, Kuceyeski A, Li X, Mallory M, Oship D, Bergsland N, Ramasamy D, Jakimovski D, Benedict RHB, Weinstock-Guttman B, Zivadinov R, Dwyer MG. Functional alteration due to structural damage is network dependent: insight from multiple sclerosis. Cereb Cortex 2023; 33:6090-6102. [PMID: 36585775 PMCID: PMC10498137 DOI: 10.1093/cercor/bhac486] [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: 07/15/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 01/01/2023] Open
Abstract
Little is known about how the brain's functional organization changes over time with respect to structural damage. Using multiple sclerosis as a model of structural damage, we assessed how much functional connectivity (FC) changed within and between preselected resting-state networks (RSNs) in 122 subjects (72 with multiple sclerosis and 50 healthy controls). We acquired the structural, diffusion, and functional MRI to compute functional connectomes and structural disconnectivity profiles. Change in FC was calculated by comparing each multiple sclerosis participant's pairwise FC to controls, while structural disruption (SD) was computed from abnormalities in diffusion MRI via the Network Modification tool. We used an ordinary least squares regression to predict the change in FC from SD for 9 common RSNs. We found clear differences in how RSNs functionally respond to structural damage, namely that higher-order networks were more likely to experience changes in FC in response to structural damage (default mode R2 = 0.160-0.207, P < 0.001) than lower-order sensory networks (visual network 1 R2 = 0.001-0.007, P = 0.157-0.387). Our findings suggest that functional adaptability to structural damage depends on how involved the affected network is in higher-order processing.
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Affiliation(s)
- Alexander Bartnik
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
| | - Tom A Fuchs
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
| | - Kira Ashton
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
| | - Amy Kuceyeski
- Department of Radiology, Weill Medical College of Cornell University, New York, NY 10065, United States
| | - Xian Li
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Psychological and Brain Science Department, Johns Hopkins University, Baltimore, MD 21218, United States
| | - Matthew Mallory
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
| | - Devon Oship
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
| | - Niels Bergsland
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan 20148, Italy
| | - Deepa Ramasamy
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
| | - Dejan Jakimovski
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
| | - Ralph H B Benedict
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
| | - Robert Zivadinov
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
| | - Michael G Dwyer
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY 14203, United States
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Martínez Camblor L, Peña Suárez J, Martínez-Cachero García M, Santamarta Liébana E, Rodríguez Castro J, Saiz Ayala A. Microhemorragias cerebrales. Utilidad de las secuencias de susceptibilidad magnética (SWI). RADIOLOGIA 2023. [DOI: 10.1016/j.rx.2022.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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Mrabet S, Wafa M, Giovannoni G. Multiple sclerosis and migraine: Links, management and implications. Mult Scler Relat Disord 2022; 68:104152. [PMID: 36058193 DOI: 10.1016/j.msard.2022.104152] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 08/22/2022] [Accepted: 08/28/2022] [Indexed: 12/15/2022]
Abstract
Multiple sclerosis (MS) is a chronic inflammatory disease leading to multifocal neuronal demyelination and axonal damage in the central nervous system (CNS). MS symptoms vary widely but typically do not include headaches. A large spectrum of headaches manifestations was reported as comorbidities in MS and results in additional disability. Migraine, tension-type headache and cluster headache are the most frequently reported primary headache syndromes in patients with MS (pwMS). Secondary causes of headache should be excluded (cerebral vein thrombosis, CNS or systemic infection, cervical and/or cranial trauma, headaches associated with psychiatric disorders, medication overuse headache, etc.) in this particular population. A careful medical history and general and neurological examinations and sometimes further investigations may be needed to rule out secondary headache syndromes. In pwMS, the headache could be an adverse effect of the disease-modifying therapies or a complication of pain medication overuse prescribed to relieve other causes of pain related to MS (neuropathic pain, mechanical pain, pain associated with spasticity, etc.). Migraine-type headache occurs in pwMS more frequently than in the general population. It can precede the disease onset, be associated with relapses, or appear during the MS course. A predominance of brainstem inflammatory lesions is described on magnetic resonance imaging (MRI) in MS patients with migraine. The relationship between both conditions remains unclear. Migraine and MS occur in the same demographic groups with similar background factors, including gender, hormonal status, and psychological features (anxiety, depression, stress). An early diagnosis and adequate treatment of migraine in MS patients are important to improve their quality of life. In this review, we focus on the relationship between MS and Migraine, discuss the differential diagnoses of migraine in pwMS, and describe its management in this particular context.
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Affiliation(s)
- Saloua Mrabet
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University London, London, United Kingdom; Royal London Hospital, Department of Neurology, Barts Health NHS Trust, London, United Kingdom.
| | - Mohamad Wafa
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University London, London, United Kingdom; Royal London Hospital, Department of Neurology, Barts Health NHS Trust, London, United Kingdom
| | - Gavin Giovannoni
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University London, London, United Kingdom; Royal London Hospital, Department of Neurology, Barts Health NHS Trust, London, United Kingdom
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7
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Liu YF, Pan L, Feng M. Structural and functional brain alterations in Cushing's disease: A narrative review. Front Neuroendocrinol 2022; 67:101033. [PMID: 36126747 DOI: 10.1016/j.yfrne.2022.101033] [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: 05/17/2022] [Revised: 08/21/2022] [Accepted: 08/26/2022] [Indexed: 11/26/2022]
Abstract
Neurocognitive and psychiatric symptoms are non-negligible in Cushing's disease and are accompanied by structural and functional alterations of the brain. In this review, we have summarized multimodal neuroimaging and neurophysiological studies to highlight the current and historical understandings of the structural and functional brain alterations in Cushing's disease. Specifically, structural studies showed atrophy of the gray matter, loss of white matter integrity, and demyelination in widespread brain regions. Functional imaging studies have identified three major functional brain connectome networks influenced by hypercortisolemia: the limbic network, the default mode network, and the executive control network. After endocrinological remission, atrophy of gray matter regions and the compromised functional network activities were partially reversible, and the widespread white matter integrity alterations cannot recover in years. In conclusion, Cushing's disease patients display structural and functional brain connectomic alterations, which provides insights into the neurocognitive and psychiatric symptoms observed in this disease.
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Affiliation(s)
- Yi-Fan Liu
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China; Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Lei Pan
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China; School of Medicine, Tsinghua University, Beijing 100083, China
| | - Ming Feng
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
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Baldacchino K, Peveler WJ, Lemgruber L, Smith RS, Scharler C, Hayden L, Komarek L, Lindsay SL, Barnett SC, Edgar JM, Linington C, Thümmler K. Myelinated axons are the primary target of hemin-mediated oxidative damage in a model of the central nervous system. Exp Neurol 2022; 354:114113. [PMID: 35569511 DOI: 10.1016/j.expneurol.2022.114113] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 04/29/2022] [Accepted: 05/08/2022] [Indexed: 12/01/2022]
Abstract
Iron released from oligodendrocytes during demyelination or derived from haemoglobin breakdown products is believed to amplify oxidative tissue injury in multiple sclerosis (MS). However, the pathophysiological significance of iron-containing haemoglobin breakdown products themselves is rarely considered in the context of MS and their cellular specificity and mode of action remain unclear. Using myelinating cell cultures, we now report the cytotoxic potential of hemin (ferriprotoporphyrin IX chloride), a major degradation product of haemoglobin, is 25-fold greater than equimolar concentrations of free iron in myelinating cultures; a model that reproduces the complex multicellular environment of the CNS. At low micro molar concentrations (3.3 - 10 μM) we observed hemin preferentially binds to myelin and axons to initiate a complex detrimental response that results in targeted demyelination and axonal loss but spares neuronal cell bodies, astrocytes and the majority of oligodendroglia. Demyelination and axonal loss in this context are executed by a combination of mechanisms that include iron-dependent peroxidation by reactive oxygen species (ROS) and ferroptosis. These effects are microglial-independent, do not require any initiating inflammatory insult and represent a direct effect that compromises the structural integrity of myelinated axons in the CNS. Our data identify hemin-mediated demyelination and axonal loss as a novel mechanism by which intracerebral degradation of haemoglobin may contribute to lesion development in MS.
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Affiliation(s)
- Karl Baldacchino
- Institute of Infection, Immunity and Inflammation, University of Glasgow, G12 8TA Glasgow, United Kingdom
| | - William J Peveler
- WestCHEM, School of Chemistry, University of Glasgow, Joseph Black Building, G12 8QQ Glasgow, UK
| | - Leandro Lemgruber
- Glasgow Imaging Facility, Institute of Infection, Immunity and Inflammation, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK
| | - Rebecca Sherrard Smith
- Institute of Infection, Immunity and Inflammation, University of Glasgow, G12 8TA Glasgow, United Kingdom
| | - Cornelia Scharler
- Institute of Experimental and Clinical Cell Therapy, Paracelsus Medical University, Salzburg, Austria
| | - Lorna Hayden
- Institute of Infection, Immunity and Inflammation, University of Glasgow, G12 8TA Glasgow, United Kingdom
| | - Lina Komarek
- Institute of Infection, Immunity and Inflammation, University of Glasgow, G12 8TA Glasgow, United Kingdom
| | - Susan L Lindsay
- Institute of Infection, Immunity and Inflammation, University of Glasgow, G12 8TA Glasgow, United Kingdom
| | - Susan C Barnett
- Institute of Infection, Immunity and Inflammation, University of Glasgow, G12 8TA Glasgow, United Kingdom
| | - Julia M Edgar
- Institute of Infection, Immunity and Inflammation, University of Glasgow, G12 8TA Glasgow, United Kingdom
| | - Christopher Linington
- Institute of Infection, Immunity and Inflammation, University of Glasgow, G12 8TA Glasgow, United Kingdom
| | - Katja Thümmler
- Institute of Infection, Immunity and Inflammation, University of Glasgow, G12 8TA Glasgow, United Kingdom.
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Hardy TA, Guo Y, Flanagan EP, Lucchinetti CF, Tobin WO. The clinical spectrum of haemorrhagic CNS inflammatory demyelinating lesions. Mult Scler 2022; 28:1710-1718. [PMID: 35581949 DOI: 10.1177/13524585221094241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Haemorrhagic demyelinating lesions are rare, and little is known about the demyelinating diseases with which they are associated, or how lesional haemorrhage affects treatment and outcomes. OBJECTIVE To examine the clinical characteristics and outcomes of patients with demyelinating lesions and magnetic resonance imaging (MRI) evidence of haemorrhage seen at the Mayo clinic between 1990 and 2018. METHODS The Mayo Clinic's medical-record diagnostic-linkage system was used to identify patients with CNS demyelinating disease and parenchymal haemorrhage on brain MRI cross-referenced against a database of patients with pathologically confirmed CNS demyelinating disease. The clinical characteristics, diagnosis, MRI findings, brain histopathology, and outcomes of these patients were reviewed. RESULTS Ten patients with haemorrhagic demyelination were identified, including three patients who underwent a brain biopsy. The main findings were that haemorrhagic demyelinating lesions most often occur in atypical forms of demyelination, especially acute haemorrhagic leukoencephalitis (AHL, or Weston-Hurst disease) and tumefactive demyelination, and rarely in multiple sclerosis. A spectrum of outcomes was observed for these patients ranging from complete remission through to high level disability. CONCLUSION Lesional haemorrhage is uncommon in demyelinating disease where it is most closely associated with AHL. Bleeding within a demyelinating lesion does not always herald a poor prognosis.
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Affiliation(s)
- Todd A Hardy
- Neuroimmunology Clinic, Department of Neurology, Concord Repatriation General Hospital, The University of Sydney, Concord West, NSW, Australia/Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
| | - Yong Guo
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | - Claudia F Lucchinetti
- Department of Neurology, Mayo Clinic, Rochester, MN, USA/College of Medicine and Science, Mayo Clinic, Rochester, MN, USA
| | - W Oliver Tobin
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
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Fan P, Shan W, Yang H, Zheng Y, Wu Z, Chan SW, Wang Q, Gao P, Liu Y, He K, Sui B. Cerebral Microbleed Automatic Detection System Based on the “Deep Learning”. Front Med (Lausanne) 2022; 9:807443. [PMID: 35402427 PMCID: PMC8988858 DOI: 10.3389/fmed.2022.807443] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 02/22/2022] [Indexed: 11/18/2022] Open
Abstract
Objective To validate the reliability and efficiency of clinical diagnosis in practice based on a well-established system for the automatic segmentation of cerebral microbleeds (CMBs). Method This is a retrospective study based on Magnetic Resonance Imaging-Susceptibility Weighted Imaging (MRI-SWI) datasets from 1,615 patients (median age, 56 years; 1,115 males, 500 females) obtained between September 2018 and September 2019. All patients had been diagnosed with cerebral small vessel disease (CSVD) with clear cerebral microbleeds (CMBs) on MRI-SWI. The patients were divided into training and validation cohorts of 1,285 and 330 patients, respectively, and another 30 patients were used for internal testing. The model training and validation data were labeled layer by layer and rechecked by two neuroradiologists with 15 years of work experience. Afterward, a three-dimensional convolutional neural network (CNN) was applied to the MRI data from the training and validation cohorts to construct a deep learning system (DLS) that was tested with the 72 patients, independent of the aforementioned MRI cohort. The DLS tool was used as a segmentation program for these 72 patients. These results were evaluated and revised by five neuroradiologists and subjected to an output analysis divided into the missed label, incorrect label, and correct label. The interneuroradiologists DLS agreement rate, which was assessed using the interrater agreement kappas test, was used for the quality analysis. Results In the detection and segmentation of the CMBs, the DLS achieved a Dice coefficient of 0.72. In the evaluation of the independent clinical data, the neuroradiologists reported that more than 90% of the lesions were directly detected and less than 10% of lesions were incorrectly labeled or the label was missed by our DLS. The kappa value for interneuroradiologist DLS agreement reached 0.79 on average. Conclusion Based on the results, the automatic detection and segmentation of CMBs are feasible. The proposed well-trained DLS system might represent a trusted tool for the segmentation and detection of CMB lesions.
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Affiliation(s)
- Pingping Fan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Neurological Diseases, Beijing, China
- Tiantan Neuroimaging Center of Excellence, Beijing, China
| | - Wei Shan
- National Clinical Research Center for Neurological Diseases, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Institute for Brain Disorders, Beijing, China
- *Correspondence: Wei Shan,
| | - Huajun Yang
- National Clinical Research Center for Neurological Diseases, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yu Zheng
- National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zhenzhou Wu
- National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shang Wei Chan
- National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Qun Wang
- National Clinical Research Center for Neurological Diseases, Beijing, China
- Tiantan Neuroimaging Center of Excellence, Beijing, China
- Beijing Institute for Brain Disorders, Beijing, China
| | - Peiyi Gao
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Neurological Diseases, Beijing, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Yaou Liu,
| | - Kunlun He
- Laboratory of Translational Medicine, Chinese PLA General Hospital, Beijing, China
- Key Laboratory of Ministry of Biomedical Engineering and Translational Medicine, People’s Liberation Army General Hospital, Beijing, China
- Kunlun He,
| | - Binbin Sui
- National Clinical Research Center for Neurological Diseases, Beijing, China
- Tiantan Neuroimaging Center of Excellence, Beijing, China
- Binbin Sui,
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11
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Öchsner M, Mak E, Ersche KD. Detecting Small Vessel Pathology in Cocaine Use Disorder. Front Neurosci 2022; 15:827329. [PMID: 35221893 PMCID: PMC8867820 DOI: 10.3389/fnins.2021.827329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 12/20/2021] [Indexed: 11/13/2022] Open
Abstract
BackgroundCocaine use is associated with an increased risk of cerebrovascular accidents. Small vessel pathology has been linked to the risk of stroke in cocaine users, but can be challenging to detect on conventional magnetic resonance (MR) scans. Fluid-attenuated inversion recovery (FLAIR) scans permit better resolution of small vessel lesions.ObjectivesFLAIR scans are currently only acquired based on the subjective judgement of abnormalities on MR scans at face value. We sought to evaluate this practice and the added value of FLAIR scans for patients with cocaine use disorder (CUD), by comparing microbleeds detected by MR and FLAIR scans. We hypothesised that microbleeds are more pronounced in CUD patients, particularly so in participants who had been selected for a FLAIR scan by radiographers.MethodsSixty-four patients with CUD and 60 control participants underwent a brain scan. The MR of 20 CUD patients and 16 control participants showed indicators of cerebral infarction at face value and were followed up by a FLAIR scan. We determined the volume of microbleeds in both MR and FLAIR scans and examined associations with various risk factors.ResultsWhile MR lesion volumes were significantly increased in CUD patients, no significant differences in lesion volume were found in the subgroup of individuals who received a FLAIR.ConclusionThe current practice of subjectively evaluating MR scans as a basis for the follow-up FLAIR scans to detect vascular pathology may miss vulnerable individuals. Hence, FLAIR scans should be included as a routine part of research studies.
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Affiliation(s)
- Marco Öchsner
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Elijah Mak
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Karen D. Ersche
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Department of Systems Neuroscience, University Hospital Hamburg-Eppendorf, Hamburg, Germany
- *Correspondence: Karen D. Ersche,
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12
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Lopatina A, Ropele S, Sibgatulin R, Reichenbach JR, Güllmar D. Investigation of Deep-Learning-Driven Identification of Multiple Sclerosis Patients Based on Susceptibility-Weighted Images Using Relevance Analysis. Front Neurosci 2020; 14:609468. [PMID: 33390890 PMCID: PMC7775402 DOI: 10.3389/fnins.2020.609468] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 11/30/2020] [Indexed: 01/22/2023] Open
Abstract
The diagnosis of multiple sclerosis (MS) is usually based on clinical symptoms and signs of damage to the central nervous system, which is assessed using magnetic resonance imaging. The correct interpretation of these data requires excellent clinical expertise and experience. Deep neural networks aim to assist clinicians in identifying MS using imaging data. However, before such networks can be integrated into clinical workflow, it is crucial to understand their classification strategy. In this study, we propose to use a convolutional neural network to identify MS patients in combination with attribution algorithms to investigate the classification decisions. The network was trained using images acquired with susceptibility-weighted imaging (SWI), which is known to be sensitive to the presence of paramagnetic iron components and is routinely applied in imaging protocols for MS patients. Different attribution algorithms were used to the trained network resulting in heatmaps visualizing the contribution of each input voxel to the classification decision. Based on the quantitative image perturbation method, we selected DeepLIFT heatmaps for further investigation. Single-subject analysis revealed veins and adjacent voxels as signs for MS, while the population-based study revealed relevant brain areas common to most subjects in a class. This pattern was found to be stable across different echo times and also for a multi-echo trained network. Intensity analysis of the relevant voxels revealed a group difference, which was found to be primarily based on the T1w magnitude images, which are part of the SWI calculation. This difference was not observed in the phase mask data.
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Affiliation(s)
- Alina Lopatina
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany.,Michael-Stifel-Center for Data-Driven and Simulation Science Jena, Jena, Germany
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Renat Sibgatulin
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany.,Michael-Stifel-Center for Data-Driven and Simulation Science Jena, Jena, Germany.,Center of Medical Optics and Photonics Jena, Jena, Germany
| | - Daniel Güllmar
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany
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13
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Ziliotto N, Zivadinov R, Jakimovski D, Baroni M, Bergsland N, Ramasamy DP, Weinstock-Guttman B, Ramanathan M, Marchetti G, Bernardi F. Relationships Among Circulating Levels of Hemostasis Inhibitors, Chemokines, Adhesion Molecules, and MRI Characteristics in Multiple Sclerosis. Front Neurol 2020; 11:553616. [PMID: 33178104 PMCID: PMC7593335 DOI: 10.3389/fneur.2020.553616] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Accepted: 08/31/2020] [Indexed: 12/14/2022] Open
Abstract
Background: Several studies suggested cross talk among components of hemostasis, inflammation, and immunity pathways in the pathogenesis, neurodegeneration, and occurrence of cerebral microbleeds (CMBs) in multiple sclerosis (MS). Objectives: This study aimed to evaluate the combined contribution of the hemostasis inhibitor protein C (PC) and chemokine C-C motif ligand 18 (CCL18) levels to brain atrophy in MS and to identify disease-relevant correlations among circulating levels of hemostasis inhibitors, chemokines, and adhesion molecules, particularly in CMB occurrence in MS. Methods: Plasma levels of hemostasis inhibitors (ADAMTS13, PC, and PAI1), CCL18, and soluble adhesion molecules (sNCAM, sICAM1, sVCAM1, and sVAP1) were evaluated by multiplex in 138 MS patients [85 relapsing-remitting (RR-MS) and 53 progressive (P-MS)] and 42 healthy individuals (HI) who underwent 3-T MRI exams. Association of protein levels with MRI outcomes was performed by regression analysis. Correlations among protein levels were assessed by partial correlation and Pearson's correlation. Results: In all patients, regression analysis showed that higher PC levels were associated with lower brain volumes, including the brain parenchyma (p = 0.002), gray matter (p < 0.001), cortex (p = 0.001), deep gray matter (p = 0.001), and thalamus (p = 0.001). These associations were detectable in RR-MS but not in P-MS patients. Higher CCL18 levels were associated with higher T2-lesion volumes in all MS patients (p = 0.03) and in the P-MS (p = 0.003). In the P-MS, higher CCL18 levels were also associated with lower volumes of the gray matter (p = 0.024), cortex (p = 0.043), deep gray matter (p = 0.029), and thalamus (p = 0.022). PC-CCL18 and CCL18-PAI1 levels were positively correlated in both MS and HI, PC–sVAP1 and PAI1–sVCAM1 only in MS, and PC–sICAM1 and PC–sNCAM only in HI. In MS patients with CMBs (n = 12), CCL18–PAI1 and PAI1–sVCAM1 levels were better correlated than those in MS patients without CMBs, and a novel ADAMTS13–sVAP1 level correlation (r = 0.78, p = 0.003) was observed. Conclusions: Differences between clinical phenotype groups in association of PC and CCL18 circulating levels with MRI outcomes might be related to different aspects of neurodegeneration. Disease-related pathway dysregulation is supported by several protein level correlation differences between MS patients and HI. The integrated analysis of plasma proteins and MRI measures provide evidence for new relationships among hemostasis, inflammation, and immunity pathways, relevant for MS and for the occurrence of CMBs.
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Affiliation(s)
- Nicole Ziliotto
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Robert Zivadinov
- Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, NY, United States.,Center for Biomedical Imaging at the Clinical Translational Science Institute, State University of New York, Buffalo, NY, United States
| | - Dejan Jakimovski
- Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, NY, United States
| | - Marcello Baroni
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, NY, United States.,Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Deepa P Ramasamy
- Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, NY, United States
| | - Bianca Weinstock-Guttman
- Center for Biomedical Imaging at the Clinical Translational Science Institute, State University of New York, Buffalo, NY, United States
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, State University of New York, Buffalo, NY, United States
| | - Giovanna Marchetti
- Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy
| | - Francesco Bernardi
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
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14
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Longitudinal Magnetic Resonance Imaging of Cerebral Microbleeds in Multiple Sclerosis Patients. Diagnostics (Basel) 2020; 10:diagnostics10110942. [PMID: 33198313 PMCID: PMC7697968 DOI: 10.3390/diagnostics10110942] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 10/30/2020] [Accepted: 11/09/2020] [Indexed: 01/21/2023] Open
Abstract
We hypothesized that cerebral microbleeds (CMBs) in multiple sclerosis (MS) patients will be detected with higher prevalence compared to healthy controls (HC) and that quantitative susceptibility mapping (QSM) will help remove false positives seen in susceptibility weighted imaging (SWI). A cohort of 100 relapsing remitting MS subjects scanned at 3T were used to validate a set of CMB detection guidelines specifically using QSM. A second longitudinal cohort of 112 MS and 25 HCs, also acquired at 3T, was reviewed across two time points. Both cohorts were imaged with SWI and fluid attenuated inversion recovery. Fourteen subjects in the first cohort (14%, 95% CI 8-21%) and twenty-one subjects in the second cohort (18.7%, 95% CI 11-27%) had at least one CMB. The combined information from SWI and QSM allowed us to discern stable CMBs and new CMBs from potential mimics and evaluate changes over time. The longitudinal results demonstrated that longer disease duration increased the chance to develop new CMBs. Higher age was also associated with increased CMB prevalence for MS and HC. We observed that MS subjects developed new CMBs between time points, indicating the need for longitudinal quantitative imaging of CMBs.
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15
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Ashton K, Fuchs TA, Oship D, Zivadinov R, Jakimovski D, Bergsland N, Ramasamy DP, Vaughn C, Weinstock-Guttman B, Benedict RHB, Dwyer MG. Diagnosis of depression in multiple sclerosis is predicted by frontal-parietal white matter tract disruption. J Neurol 2020; 268:169-177. [PMID: 32754832 DOI: 10.1007/s00415-020-10110-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 07/20/2020] [Accepted: 07/22/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Persons with multiple sclerosis (PwMS) are at an elevated risk of depression. Decreased Conscientiousness may affect patient outcomes in PwMS. Low Conscientiousness has a strong correlation with depression. Previous work has also reported that white matter (WM) tract disruption in frontal-parietal networks explains reduced Conscientiousness in PwMS. OBJECTIVE We hypothesized that Conscientiousness-associated WM tract disruption predicts new-onset depression over 5 years in PwMS and evaluated this by assessing the predictive power of mean Conscientiousness associated frontal-parietal network (CFPN) disruption in PwMS for clinically diagnosed depression over 5 years. METHODS This longitudinal retrospective analysis included 53 PwMS who were not previously diagnosed as depressed. All participants underwent structural MRI. Medical records were reviewed to evaluate diagnosis of depression for these patients over 5 years. WM tract damage between pairs of gray matter regions in the CFPN was measured using diffusion imaging. The relationship between CFPN disruption and depression was analyzed using logistic regression. RESULTS Participants with MS had a mean age of 46.0 years (SD = 11.2). 22.6% (n = 12) acquired a diagnosis of clinical depression over the 5-year period. Baseline disruption in the CFPN was a significant predictor (ROC AUC = 61.8%). of new-onset clinical depression, accounting for age, sex, lateral ventricular volume, disease modifying treatment, and lesion volume. CONCLUSION Baseline CFPN disruption is associated with progression to clinical depression over 5 years in PwMS. Development of new WM pathology within this network may be a risk factor for depression.
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Affiliation(s)
- Kira Ashton
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA
- Department of Neurology, Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY, USA
- Center for Behavioral Neuroscience, American University, Washington, DC, USA
| | - Tom A Fuchs
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA
- Department of Neurology, Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY, USA
| | - Devon Oship
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA
- Department of Neurology, Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY, USA
| | - Robert Zivadinov
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA
- Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York (SUNY), Buffalo, NY, USA
| | - Dejan Jakimovski
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA
- IRCCS, Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Deepa P Ramasamy
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA
| | - Caila Vaughn
- Department of Neurology, Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA
- Department of Neurology, Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY, USA
| | - Ralph H B Benedict
- Department of Neurology, Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, NY, USA
| | - Michael G Dwyer
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), 100 High St., Buffalo, NY, 14226, USA.
- Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York (SUNY), Buffalo, NY, USA.
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16
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Utrera Pérez E, Santos Armentia E, Silva Priegue N, Villanueva Campos A, Jurado Basildo C. Should susceptibility-weighted imaging be included in the basic protocol for magnetic resonance imaging of the brain? RADIOLOGIA 2020. [DOI: 10.1016/j.rxeng.2020.03.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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17
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Utrera Pérez E, Santos Armentia E, Silva Priegue N, Villanueva Campos A, Jurado Basildo C. ¿Se debe incluir la secuencia de susceptibilidad magnética en el protocolo de resonancia magnética cerebral básico? RADIOLOGIA 2020; 62:320-326. [DOI: 10.1016/j.rx.2019.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 09/21/2019] [Accepted: 12/30/2019] [Indexed: 11/16/2022]
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18
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Vaughn CB, Jakimovski D, Kavak KS, Ramanathan M, Benedict RHB, Zivadinov R, Weinstock-Guttman B. Epidemiology and treatment of multiple sclerosis in elderly populations. Nat Rev Neurol 2020; 15:329-342. [PMID: 31000816 DOI: 10.1038/s41582-019-0183-3] [Citation(s) in RCA: 180] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The prevalence of multiple sclerosis (MS) and the age of affected patients are increasing owing to increased longevity of the general population and the availability of effective disease-modifying therapies. However, ageing presents unique challenges in patients with MS largely as a result of their increased frequency of age-related and MS-related comorbidities as well as transition of the disease course from an inflammatory to a neurodegenerative phenotype. Immunosenescence (the weakening of the immune system associated with natural ageing) might be at least partly responsible for this transition, which further complicates disease management. Currently approved therapies for MS are effective in preventing relapse but are not as effective in preventing the accumulation of disability associated with ageing and disease progression. Thus, ageing patients with MS represent a uniquely challenging population that is currently underserved by existing therapeutic regimens. This Review focuses on the epidemiology of MS in ageing patients. Unique considerations relevant to this population are discussed, including the immunology and pathobiology of the complex relationship between ageing and MS, the safety and efficacy of disease-modifying therapies, when discontinuation of treatment might be appropriate and the important role of approaches to support wellness and cognition.
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Affiliation(s)
- Caila B Vaughn
- Jacobs Multiple Sclerosis Center for Treatment and Research, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA
| | - Katelyn S Kavak
- Jacobs Multiple Sclerosis Center for Treatment and Research, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA
| | - Ralph H B Benedict
- Jacobs Multiple Sclerosis Center for Treatment and Research, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA.,Center for Biomedical Imaging at the Clinical Translational Science Institute, State University of New York (SUNY), Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center for Treatment and Research, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York (SUNY), Buffalo, NY, USA.
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Bergsland N, Tavazzi E, Schweser F, Jakimovski D, Hagemeier J, Dwyer MG, Zivadinov R. Targeting Iron Dyshomeostasis for Treatment of Neurodegenerative Disorders. CNS Drugs 2019; 33:1073-1086. [PMID: 31556017 PMCID: PMC6854324 DOI: 10.1007/s40263-019-00668-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
While iron has an important role in the normal functioning of the brain owing to its involvement in several physiological processes, dyshomeostasis has been found in many neurodegenerative disorders, as evidenced by both histopathological and imaging studies. Although the exact causes have remained elusive, the fact that altered iron levels have been found in disparate diseases suggests that iron may contribute to their development and/or progression. As such, the processes involved in iron dyshomeostasis may represent novel therapeutic targets. There are, however, many questions about the exact interplay between neurodegeneration and altered iron homeostasis. Some insight can be gained by considering the parallels with respect to what occurs in healthy aging, which is also characterized by increased iron throughout many regions in the brain along with progressive neurodegeneration. Nevertheless, the exact mechanisms of iron-mediated damage are likely disease specific to a certain degree, given that iron plays a crucial role in many disparate biological processes, which are not always affected in the same way across different neurodegenerative disorders. Moreover, it is not even entirely clear yet whether iron actually has a causative role in all of the diseases where altered iron levels have been noted. For example, there is strong evidence of iron dyshomeostasis leading to neurodegeneration in Parkinson's disease, but there is still some question as to whether changes in iron levels are merely an epiphenomenon in multiple sclerosis. Recent advances in neuroimaging now offer the possibility to detect and monitor iron levels in vivo, which allows for an improved understanding of both the temporal and spatial dynamics of iron changes and associated neurodegeneration compared to post-mortem studies. In this regard, iron-based imaging will likely play an important role in the development of therapeutic approaches aimed at addressing altered iron dynamics in neurodegenerative diseases. Currently, the bulk of such therapies have focused on chelating excess iron. Although there is some evidence that these treatment options may yield some benefit, they are not without their own limitations. They are generally effective at reducing brain iron levels, as assessed by imaging, but clinical benefits are more modest. New drugs that specifically target iron-related pathological processes may offer the possibility to prevent, or at the least, slow down irreversible neurodegeneration, which represents an unmet therapeutic target.
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Affiliation(s)
- Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High St., Buffalo, NY, 14203, USA.
| | - Eleonora Tavazzi
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Michael G. Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA
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20
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Zivadinov R, Polak P, Schweser F, Bergsland N, Hagemeier J, Dwyer MG, Ramasamy DP, Baker JG, Leddy JJ, Willer BS. Multimodal Imaging of Retired Professional Contact Sport Athletes Does Not Provide Evidence of Structural and Functional Brain Damage. J Head Trauma Rehabil 2019; 33:E24-E32. [PMID: 30080799 DOI: 10.1097/htr.0000000000000422] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Long-term consequences of playing professional football and hockey on brain function and structural neuronal integrity are unknown. OBJECTIVES To investigate multimodal metabolic and structural brain magnetic resonance imaging (MRI) differences in retired professional contact sport athletes compared with noncontact sport athletes. METHODS Twenty-one male contact sport athletes and 21 age-matched noncontact sport athletes were scanned on a 3 tesla (3T) MRI using a multimodal imaging approach. The MRI outcomes included presence, number, and volume of focal white matter signal abnormalities, volumes of global and regional tissue-specific brain structures, diffusion-tensor imaging tract-based spatial statistics measures of mean diffusivity and fractional anisotropy, quantitative susceptibility mapping of deep gray matter, presence, number, and volume of cerebral microbleeds, MR spectroscopy N-acetyl-aspartate, glutamate, and glutamine concentrations relative to creatine and phosphor creatine of the corpus callosum, and perfusion-weighted imaging mean transit time, cerebral blood flow, and cerebral blood volume outcomes. Subjects were also classified as having mild cognitive impairment. RESULTS No significant differences were found for structural or functional MRI measures between contact sport athletes and noncontact sport athletes. CONCLUSIONS This multimodal imaging study did not show any microstructural, metabolic brain tissue injury differences in retired contact versus non-contact sport athletes.
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Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology (Drs Zivadinov, Polak, Schweser, Bergsland, Hagemeier, Dwyer, and Ramasamy), MR Imaging Clinical and Translational Research Center (Drs Zivadinov and Schweser), Department of Orthopaedics (Drs Baker and Leddy), Department of Nuclear Medicine (Dr Baker), and Department of Psychiatry (Dr Willer), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo
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21
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Ziliotto N, Zivadinov R, Baroni M, Marchetti G, Jakimovski D, Bergsland N, Ramasamy DP, Weinstock-Guttman B, Straudi S, Manfredini F, Ramanathan M, Bernardi F. Plasma levels of protein C pathway proteins and brain magnetic resonance imaging volumes in multiple sclerosis. Eur J Neurol 2019; 27:235-243. [PMID: 31408242 DOI: 10.1111/ene.14058] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 08/05/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND PURPOSE The involvement of protein C (PC) pathway components in multiple sclerosis (MS) has scarcely been explored. The aim was to investigate their levels in relation to clinical and neurodegenerative magnetic resonance imaging (MRI) outcomes in patients. METHODS In all, 138 MS patients and 42 healthy individuals were studied. PC, protein S (PS) and soluble endothelial protein C receptor (sEPCR) were evaluated by multiplex assays and enzyme-linked immunosorbent assay. Regression analyses between 3 T MRI outcomes and PC pathway components were performed. ancova was used to compare MRI volumes based on protein level quartiles. Partial correlation was assessed amongst levels of PC pathway components and hemostasis protein levels, including soluble thrombomodulin (sTM), heparin cofactor II (HCII), plasminogen activator inhibitor 1 (PAI-1) and factor XII (FXII). The variation of PC concentration across four time points was evaluated in 32 additional MS patients. RESULTS There was an association between PC concentration, mainly reflecting the zymogen PC, and MRI measures for volumes of total gray matter (GM) (P = 0.003), thalamus (P = 0.007), cortex (P = 0.008), deep GM (P = 0.009) and whole brain (P = 0.026). Patients in the highest PC level quartile were characterized by the lowest GM volumes. Correlations of PC-HCII, PC-FXII and sEPCR-sTM values were detectable in MS patients, whilst PC-PS and PS-PAI-1 correlations were present in healthy individuals only. CONCLUSIONS Protein C plasma concentrations might be associated with neurodegenerative MRI outcomes in MS. Several differences in correlation amongst protein plasma levels suggest dysregulation of PC pathway components in MS patients. The stability of PC concentration over time supports a PC investigation in relation to GM atrophy in MS.
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Affiliation(s)
- N Ziliotto
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.,Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - R Zivadinov
- Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA.,Neurology, State University of New York, Buffalo, NY, USA
| | - M Baroni
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - G Marchetti
- Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy
| | - D Jakimovski
- Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - N Bergsland
- Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | - D P Ramasamy
- Buffalo Neuroimaging Analysis Center, Buffalo, NY, USA
| | | | - S Straudi
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - F Manfredini
- Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy
| | - M Ramanathan
- Department of Pharmaceutical Sciences, State University of New York, Buffalo, NY, USA
| | - F Bernardi
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
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22
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Fuchs TA, Ziccardi S, Dwyer MG, Charvet LE, Bartnik A, Campbell R, Escobar J, Hojnacki D, Kolb C, Oship D, Pol J, Shaw MT, Wojcik C, Yasin F, Weinstock-Guttman B, Zivadinov R, Benedict RH. Response heterogeneity to home-based restorative cognitive rehabilitation in multiple sclerosis: An exploratory study. Mult Scler Relat Disord 2019; 34:103-111. [DOI: 10.1016/j.msard.2019.06.026] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 06/13/2019] [Accepted: 06/19/2019] [Indexed: 11/29/2022]
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23
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Fuchs TA, Benedict RHB, Bartnik A, Choudhery S, Li X, Mallory M, Oship D, Yasin F, Ashton K, Jakimovski D, Bergsland N, Ramasamy DP, Weinstock-Guttman B, Zivadinov R, Dwyer MG. Preserved network functional connectivity underlies cognitive reserve in multiple sclerosis. Hum Brain Mapp 2019; 40:5231-5241. [PMID: 31444887 PMCID: PMC6864900 DOI: 10.1002/hbm.24768] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 07/26/2019] [Accepted: 08/08/2019] [Indexed: 12/27/2022] Open
Abstract
Cognitive reserve is one's mental resilience or resistance to the effects of structural brain damage. Reserve effects are well established in people with multiple sclerosis (PwMS) and Alzheimer's disease, but the neural basis of this phenomenon is unclear. We aimed to investigate whether preservation of functional connectivity explains cognitive reserve. Seventy‐four PwMS and 29 HCs underwent neuropsychological assessment and 3 T MRI. Structural damage measures included gray matter (GM) atrophy and network white matter (WM) tract disruption between pairs of GM regions. Resting‐state functional connectivity was also assessed. PwMS exhibited significantly impaired cognitive processing speed (t = 2.14, p = .037) and visual/spatial memory (t = 2.72, p = .008), and had significantly greater variance in functional connectivity relative to HCs within relevant networks (p < .001, p < .001, p = .016). Higher premorbid verbal intelligence, a proxy for cognitive reserve, predicted relative preservation of functional connectivity despite accumulation of GM atrophy (standardized‐β = .301, p = .021). Furthermore, preservation of functional connectivity attenuated the impact of structural network WM tract disruption on cognition (β = −.513, p = .001, for cognitive processing speed; β = −.209, p = .066, for visual/spatial memory). The data suggests that preserved functional connectivity explains cognitive reserve in PwMS, helping to maintain cognitive capacity despite structural damage.
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Affiliation(s)
- Tom A Fuchs
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Ralph H B Benedict
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Alexander Bartnik
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Sanjeevani Choudhery
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Xian Li
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Matthew Mallory
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Devon Oship
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Faizan Yasin
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Kira Ashton
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Dejan Jakimovski
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Niels Bergsland
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Deepa P Ramasamy
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Robert Zivadinov
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Michael G Dwyer
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
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24
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Susceptibility-weighted imaging in the differential diagnosis of autoimmune central nervous system vasculitis and multiple sclerosis. Mult Scler Relat Disord 2019; 33:70-74. [DOI: 10.1016/j.msard.2019.05.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 05/05/2019] [Accepted: 05/19/2019] [Indexed: 11/17/2022]
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25
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Puy L, Cordonnier C. Microsanguinamenti intracerebrali. Neurologia 2019. [DOI: 10.1016/s1634-7072(19)42493-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
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26
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Gandhi S, Marr K, Mancini M, Caprio MG, Jakimovski D, Chandra A, Hagemeier J, Hojnacki D, Kolb C, Weinstock-Guttman B, Zivadinov R. No association between variations in extracranial venous anatomy and clinical outcomes in multiple sclerosis patients over 5 years. BMC Neurol 2019; 19:121. [PMID: 31185944 PMCID: PMC6560860 DOI: 10.1186/s12883-019-1350-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 05/31/2019] [Indexed: 01/08/2023] Open
Abstract
Background No longitudinal, long-term, follow-up studies have explored the association between presence and severity of variations in extracranial venous anatomy, and clinical outcomes in patients with multiple sclerosis (MS). Objective This prospective 5-year follow-up study assessed the relationship of variations in extracranial venous anatomy, indicative of chronic cerebrospinal venous insufficiency (CCSVI) on Doppler sonography, according to the International Society for Neurovascular Disease (ISNVD) proposed consensus criteria, with clinical outcomes and disease progression in MS patients. Methods 90 MS patients (52 relapsing-remitting, RRMS and 38 secondary-progressive, SPMS) and 38 age- and sex-matched HIs were prospectively followed for 5.5 years. Extracranial and transcranial Doppler-based venous hemodynamic assessment was conducted at baseline and follow-up to determine the extent of variations in extracranial venous anatomy. Change in Expanded Disability Status Scale (∆EDSS), development of disability progression (DP) and annualized relapse rate (ARR) were assessed. Results No significant differences were observed in MS patients, based on their presence of variations in extracranial venous anatomy at baseline or at the follow-up, in ∆EDSS, development of DP or ARR. While more MS patients had ISNVD CCSVI criteria fulfilled at baseline compared to HIs (58% vs. 37%, p = 0.03), no differences were found at the 5-year follow-up (61% vs. 56%, p = 0.486). Discussion This is the longest follow-up study assessing the longitudinal relationship between the presence of variations in extracranial venous anatomy and clinical outcomes in MS patients. Conclusion: The presence of variations in extracranial venous anatomy does not influence clinical outcomes over the 5-year follow-up in MS patients. Electronic supplementary material The online version of this article (10.1186/s12883-019-1350-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sirin Gandhi
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Karen Marr
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Marcello Mancini
- Institute of Biostructure and Bioimaging, National Research Council of Italy, Rome, Italy
| | - Maria Grazia Caprio
- Institute of Biostructure and Bioimaging, National Research Council of Italy, Rome, Italy
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Avinash Chandra
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - David Hojnacki
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Channa Kolb
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA. .,Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.
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27
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Gupta S, Fellows K, Weinstock-Guttman B, Hagemeier J, Zivadinov R, Ramanathan M. Marijuana Use by Patients with Multiple Sclerosis. Int J MS Care 2019; 21:57-62. [PMID: 31049035 DOI: 10.7224/1537-2073.2017-112] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background With social attitudes about marijuana changing and patients sometimes seeking nonmainstream treatment options, the main goal of this study was to investigate the prevalence of, and factors associated with, marijuana use by patients with multiple sclerosis (MS). Methods Adult patients with MS (n = 521) and controls (n = 279) from a study of clinical, neuroimaging, genetic, and environmental factors in MS progression were included. Patients with MS stated whether they had ever used marijuana before MS diagnosis, after MS diagnosis, and in the preceding 3 months as part of an in-person questionnaire. The control group stated whether they had ever used marijuana and in the preceding 3 months. Results The percentage of patients with MS reporting ever use of marijuana was 39.9%, compared with 32.7% of controls. Marijuana use in the preceding 3 months was significantly more prevalent among patients with MS (9.4%) compared with controls (0.4%) (P < .001). Marijuana use was most prevalent in male patients with MS (P = .004) and in patients with MS who used complementary and alternative medicine (P = .045). Cigarette smoking was associated with marijuana use in patients with MS (P < .001) and controls (P = .001). Increasing age was associated with decreasing prevalence of marijuana use in the patients with MS (P < 0.001). Conclusions Patients with MS are more likely to report recent marijuana use than are people without MS. Owing to potential adverse effects, marijuana use by patients with MS may warrant vigilance by MS caregivers, given shifting social attitudes and the trend towards legalization of marijuana in the United States.
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28
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Pétrault M, Casolla B, Ouk T, Cordonnier C, Bérézowski V. Cerebral microbleeds: Beyond the macroscope. Int J Stroke 2019; 14:468-475. [DOI: 10.1177/1747493019830594] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
While being increasingly recognized in clinical routine, brain microbleeds remain a puzzling finding for physicians. These small dot-like lesions are thought to be old perivascular collections of hemosiderin deposits. They can be found in different neurological settings such as cerebrovascular or neurodegenerative diseases. While their microscopic size would suggest considering these lesions as anecdotal, they are now regarded as biomarkers of severity of an underlying cerebrovascular disease. Their natural history and the interactions with surrounding brain cells remain unknown. However, their presence may impact therapeutic decisions. Deciphering the biological mechanisms leading to, or following microbleeds would enable us to address a key question: do microbleeds arise and impact the surrounding parenchyma like a miniature version of intracerebral hemorrhages or do they represent a different kind of injury? We hereby discuss, based on both clinical and experimental literature, the gap between the definition of microbleeds coming from neuroimaging and the pathophysiological hypotheses raised from histopathological and experimental data. Our analysis supports the need for a convergent effort from clinicians and basic scientists to go beyond the current “macro” view and disclose the cellular and molecular insights of these cerebral hemorrhagic microlesions.
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Affiliation(s)
- Maud Pétrault
- Department of Medical Pharmacology, Univ Lille, Inserm U1171-Degenerative and Vascular Cognitive Disorders, CHU Lille, Lille, France
| | - Barbara Casolla
- Department of Neurology, Univ Lille, Inserm U1171-Degenerative and Vascular Cognitive Disorders, CHU Lille, Lille, France
| | - Thavarak Ouk
- Department of Medical Pharmacology, Univ Lille, Inserm U1171-Degenerative and Vascular Cognitive Disorders, CHU Lille, Lille, France
| | - Charlotte Cordonnier
- Department of Neurology, Univ Lille, Inserm U1171-Degenerative and Vascular Cognitive Disorders, CHU Lille, Lille, France
| | - Vincent Bérézowski
- Department of Medical Pharmacology, Univ Lille, Inserm U1171-Degenerative and Vascular Cognitive Disorders, CHU Lille, Lille, France
- Univ Artois, Lens, France
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29
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Filippi M, Brück W, Chard D, Fazekas F, Geurts JJG, Enzinger C, Hametner S, Kuhlmann T, Preziosa P, Rovira À, Schmierer K, Stadelmann C, Rocca MA. Association between pathological and MRI findings in multiple sclerosis. Lancet Neurol 2019; 18:198-210. [DOI: 10.1016/s1474-4422(18)30451-4] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 10/22/2018] [Accepted: 11/12/2018] [Indexed: 12/12/2022]
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30
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Yamahana Y, Katsumori T, Miura H, Asai S, Yamada S, Takahata A, Yamada K. Susceptibility weighted MRI after uterine artery embolization for leiomyoma. Magn Reson Imaging 2019; 58:32-37. [PMID: 30654161 DOI: 10.1016/j.mri.2019.01.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 01/13/2019] [Accepted: 01/14/2019] [Indexed: 11/24/2022]
Abstract
PURPOSE To evaluate whether susceptibility-weighted MR imaging (SWI) findings are associated with tumor infarction on contrast-enhanced MRI (CE-MRI) after uterine artery embolization (UAE) for leiomyoma. METHODS This was a single institution, retrospective study. Between February 2016 and April 2017, 27 consecutive patients underwent UAE and completed SWI and CE-MRI before and 1 week after UAE. Two blinded readers independently reviewed the MRI of 261 tumors ≥1 cm in all patients. We evaluated the relationship between the hypointense peripheral rim observed on the tumor surface on post-procedural SWI and the infarction rates (≥90%, <90%) of each tumor based on post-procedural CE-MRI. Inter-reader correlation coefficients (ICC) and the sensitivity and specificity of the rim were measured. RESULTS Substantial inter-reader agreement was noted in post-procedural SWI interpretations (ICC = 0.681, 95% CI; 0.547, 0.771). The rim was observed in 66.7% (174/261) of tumors by reader 1 and 55.9% (146/261) of tumors by reader 2 on post-procedural SWI. Correlations were observed between the rim and ≥90% tumor infarction by readers 1 and 2 (Spearman's coefficient = 0.474 and 0.438, p < 0.001 and p < 0.001, respectively). The sensitivity and specificity of the rim to tumor infarction were 77.2 and 82.6% (reader 1), and 65.8 and 100% (reader 2), respectively. CONCLUSIONS The present study demonstrated that the hypointense peripheral rim was observed on some leiomyomas on SWI immediately after UAE. The rim correlated with tumor infarction on post-procedural CE-MRI. This SWI finding was helpful for evaluating embolic effects on leiomyomas in the acute phase after UAE.
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Affiliation(s)
- Yasuyuki Yamahana
- Department of Radiology, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan.
| | - Tetsuya Katsumori
- Department of Radiology, Saiseikai Shiga Hospital, Ohashi 2-4-1, Ritto, Shiga 520-3046, Japan
| | - Hiroshi Miura
- Department of Radiology, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Shunsuke Asai
- Department of Radiology, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Sachimi Yamada
- Department of Radiology, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Akiko Takahata
- Department of Radiology, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Kei Yamada
- Department of Radiology, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
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Fuchs TA, Vaughn CB, Benedict RH, Weinstock-Guttman B, Choudhery S, Carolus K, Rooney P, Ashton K, P. Ramasamy D, Jakimovski D, Zivadinov R, Dwyer MG. Lower self-report fatigue in multiple sclerosis is associated with localized white matter tract disruption between amygdala, temporal pole, insula, and other connected structures. Mult Scler Relat Disord 2019; 27:298-304. [DOI: 10.1016/j.msard.2018.11.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 11/06/2018] [Accepted: 11/08/2018] [Indexed: 11/26/2022]
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32
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Daglas M, Adlard PA. The Involvement of Iron in Traumatic Brain Injury and Neurodegenerative Disease. Front Neurosci 2018; 12:981. [PMID: 30618597 PMCID: PMC6306469 DOI: 10.3389/fnins.2018.00981] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 12/07/2018] [Indexed: 12/18/2022] Open
Abstract
Traumatic brain injury (TBI) consists of acute and long-term pathophysiological sequelae that ultimately lead to cognitive and motor function deficits, with age being a critical risk factor for poorer prognosis. TBI has been recently linked to the development of neurodegenerative diseases later in life including Alzheimer’s disease, Parkinson’s disease, chronic traumatic encephalopathy, and multiple sclerosis. The accumulation of iron in the brain has been documented in a number of neurodegenerative diseases, and also in normal aging, and can contribute to neurotoxicity through a variety of mechanisms including the production of free radicals leading to oxidative stress, excitotoxicity and by promoting inflammatory reactions. A growing body of evidence similarly supports a deleterious role of iron in the pathogenesis of TBI. Iron deposition in the injured brain can occur via hemorrhage/microhemorrhages (heme-bound iron) or independently as labile iron (non-heme bound), which is considered to be more damaging to the brain. This review focusses on the role of iron in potentiating neurodegeneration in TBI, with insight into the intersection with neurodegenerative conditions. An important implication of this work is the potential for therapeutic approaches that target iron to attenuate the neuropathology/phenotype related to TBI and to also reduce the associated risk of developing neurodegenerative disease.
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Affiliation(s)
- Maria Daglas
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Paul A Adlard
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
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Yeoh H, Lee JY, Lee YJ, Park DW, Kim TY, Ahn GY, Bae SC, Kim YS, Kim HY, Kim CK, Kim JY, Kim H, Han JW. Relationship between cerebral microbleeds and white matter MR hyperintensities in systemic lupus erythematosus: a retrospective observational study. Neuroradiology 2018; 61:265-274. [PMID: 30415319 DOI: 10.1007/s00234-018-2130-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 11/01/2018] [Indexed: 12/31/2022]
Abstract
PURPOSE White matter hyperintensities (WMH) and cerebral microbleeds (CMBs) are known to be associated with small vessel diseases (SVD) and neuroinflammation. The purpose was to investigate the relationship between CMBs and WMH in patients with systemic lupus erythematosus (SLE). METHODS Thirty-one SLE patients with WMH and 27 SLE patients with normal brain MRI were compared. The presence, location, and grading of CMBs were assessed using susceptibility-weighted images. WMH volume was quantitatively measured. Clinical characteristics and serologic markers were compared. We also performed two separate subgroup analyses after (1) dividing WMH into inflammatory lesion vs. SVD subgroups and (2) dividing WMH into those with vs. without CMB subgroups. RESULTS The WMH group showed more frequent CMBs than the normal MR group (p < 0.001). The WMH group showed higher SLE disease activity index, longer disease duration, and a higher incidence of antiphospholipid syndrome than the normal MR group (p = 0.02, 0.04, and 0.04, respectively). There was a moderate correlation between WMH volume and CMB grading (r = 0.49, p = 0.006). Within the WMH group, the inflammatory lesion subgroup showed more frequent CMBs and larger WMH volume than the SVD subgroup (p < 0.001 and 0.02, respectively). The WMH with CMB subgroup had larger WMH volume than the WMH without CMB subgroup (p = 0.004). CONCLUSION In patients with SLE, CMBs could be related to large-volume WMH and inflammatory lesions. CMBs along with severe WMH could be used as an imaging biomarker of vasculitis in patients with SLE.
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Affiliation(s)
- Hyunjung Yeoh
- Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, 17 Haengdang-dong, Seongdong-gu, Seoul, 133-792, South Korea
| | - Ji Young Lee
- Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, 17 Haengdang-dong, Seongdong-gu, Seoul, 133-792, South Korea.
| | - Young-Jun Lee
- Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, 17 Haengdang-dong, Seongdong-gu, Seoul, 133-792, South Korea
| | - Dong Woo Park
- Department of Radiology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, South Korea
| | - Tae Yoon Kim
- Department of Radiology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, South Korea
| | - Ga Young Ahn
- Department of Rheumatology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, South Korea
| | - Sang-Cheol Bae
- Department of Rheumatology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, South Korea
| | - Young Seo Kim
- Department of Neurology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, South Korea
| | - Hyun Young Kim
- Department of Neurology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, South Korea
| | - Chun K Kim
- Department of Nuclear Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, South Korea
| | - Ji Young Kim
- Department of Nuclear Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, South Korea
| | - Haejin Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
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Zulfiqar M, Qeadan F, Ikram A, Farooqui M, Richardson SP, Calder CS, Quadri SA, Mathur P, Ford C, O Gutierrez S, Liera E, Snow H, N Gonzalez J, Zafar A. Intracerebral Hemorrhage in Multiple Sclerosis: A Retrospective Cohort Study. J Stroke Cerebrovasc Dis 2018; 28:267-275. [PMID: 30385221 DOI: 10.1016/j.jstrokecerebrovasdis.2018.09.050] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 09/21/2018] [Accepted: 09/27/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND To identify the vascular risk factors associated with the occurrence of intracerebral hemorrhage (ICH) in Multiple Sclerosis (MS) patients. METHODS This is an observational, retrospective cohort study using the nationwide electronic medical records (EMR) database. Patients with the diagnosis of MS were extracted from inpatient and outpatient EMR using the international classification of diseases, ninth/tenth revisions, clinical modification codes. We excluded patients younger than 18 years, and those where gender was not specified. Patients were further stratified based on their demographics, risk factors, medications, and comorbidities. Tobacco, diabetes, hypertension, and alcohol were the predicting variables; antiplatelet medication, and anticoagulant agents were the primary exposures for the development of ICH. A validated diagnosis code algorithm defined the diagnosis of ICH. Multivariable logistic regression models were utilized to assess the risk of ICH in MS patients. RESULTS Of the total 57,099 MS patients (women: 75%, n = 41,517), 107 (.19%) sustained an ICH. Age (OR = 2.74, CI = 1.13-6.62), use of anticoagulants (OR = 2.15, 95% CI = 1.30-3.56, P = .0028), and history of tobacco exposure (OR = 2.44, CI = 1.37-4.36, P = .0025) were associated with increased risk of ICH. Use of antiplatelet and disease-modifying drugs (DMDs) showed a protective trend against ICH. CONCLUSIONS Tobacco exposure and anticoagulant use were strongly associated with increased risk of ICH in patients with MS. There might be a protective effect that antiplatelet and DMDs have in the pathophysiology of this disease. Further prospective investigations are warranted to establish these associations.
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Affiliation(s)
- Maryam Zulfiqar
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | - Fares Qeadan
- Clinical and Translational Science Center, University of New Mexico, Albuquerque, New Mexico
| | - Asad Ikram
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | - Mudassir Farooqui
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Sarah P Richardson
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | | | - Syed A Quadri
- Department of Neurosurgery, California Institute of Neurosciences, Thousand Oaks, California
| | - Puja Mathur
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | - Corey Ford
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | - Santiago O Gutierrez
- Department of Neurology, University of Iowa Hospitals and Clinic, Iowa City, Iowa
| | - Enrique Liera
- Department of Neurology, University of Iowa Hospitals and Clinic, Iowa City, Iowa
| | - Harry Snow
- Clinical and Translational Science Center, University of New Mexico, Albuquerque, New Mexico
| | - Joel N Gonzalez
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | - Atif Zafar
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico.
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Zivadinov R, Tavazzi E, Hagemeier J, Carl E, Hojnacki D, Kolb C, Weinstock-Guttman B. The Effect of Glatiramer Acetate on Retinal Nerve Fiber Layer Thickness in Patients with Relapsing-Remitting Multiple Sclerosis: A Longitudinal Optical Coherence Tomography Study. CNS Drugs 2018; 32:763-770. [PMID: 29767815 DOI: 10.1007/s40263-018-0521-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Optical coherence tomography (OCT) is a technique that allows for the assessment of retinal nerve fiber layer thickness (RNFLT) and total macular volume (TMV), which reflect neuroaxonal integrity within the retina. As such it has been used in multiple sclerosis (MS) to study neurodegeneration. Glatiramer acetate (GA) is a widely used treatment for MS, which is suggested to have a possible neuroprotective role. OBJECTIVE The aim of this study was to assess RFNLT and TMV changes in relapsing-remitting MS (RRMS) patients who started treatment with GA and were followed for a 24-month period. METHODS A cohort of 60 RRMS patients and 40 healthy controls (HCs) were imaged with OCT at baseline and follow-up. All subjects also underwent clinical and neurological examination. Measurements were compared between the RRMS patients and HCs as well as between optic neuritis (ON)-affected and ON-unaffected eyes. RESULTS At baseline, MS patients showed lower average RNFLT (p = 0.046) and TMV (p = 0.013) when compared with HCs. No significant differences in the evolution of OCT measures were detected over the follow-up between MS patients and HCs. MS patients with both affected and unaffected eyes showed significantly lower average RNFLT, temporal inferior RNFLT, and TMV at baseline, compared with HCs. No significant differences between ON-affected and ON-unaffected eyes in MS patients were detected over the follow-up, except for the nasal superior RNFLT (p = 0.019). CONCLUSIONS This study suggests a beneficial role of GA on retinal axonal degeneration in MS, and further confirms the utility of OCT to monitor the neuroprotective effect of disease-modifying treatment.
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Affiliation(s)
- Robert Zivadinov
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA. .,Center for Biomedical Imaging at Clinical and Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.
| | - Eleonora Tavazzi
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Jesper Hagemeier
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Ellen Carl
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - David Hojnacki
- Department of Neurology, School of Medicine and Biomedical Sciences, Jacobs Multiple Sclerosis Center, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Channa Kolb
- Department of Neurology, School of Medicine and Biomedical Sciences, Jacobs Multiple Sclerosis Center, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, School of Medicine and Biomedical Sciences, Jacobs Multiple Sclerosis Center, University at Buffalo, State University of New York, Buffalo, NY, USA
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Pelizzari L, Jakimovski D, Laganà MM, Bergsland N, Hagemeier J, Baselli G, Weinstock-Guttman B, Zivadinov R. Five-Year Longitudinal Study of Neck Vessel Cross-Sectional Area in Multiple Sclerosis. AJNR Am J Neuroradiol 2018; 39:1703-1709. [PMID: 30049718 DOI: 10.3174/ajnr.a5738] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 06/06/2018] [Indexed: 12/26/2022]
Abstract
BACKGROUND AND PURPOSE Alterations of neck vessel cross-sectional area in multiple sclerosis have been reported. Our aim was to investigate the evolution of the neck vessel cross-sectional area in patients with MS and healthy controls during 5 years. MATERIALS AND METHODS Sixty-nine patients with MS (44 relapsing-remitting MS, 25 progressive MS) and 22 age- and sex-matched healthy controls were examined twice, 5 years apart, on a 3T MR imaging scanner using 2D neck MR angiography. Cross-sectional areas were computed for the common carotid/internal carotid arteries, vertebral arteries, and internal jugular veins for all slices between the C3 and C7 cervical levels. Longitudinal cross-sectional area differences at each cervical level and the whole-vessel course were tested within study groups and between patients with MS with and without cardiovascular disease using mixed-model analysis and the related-samples Wilcoxon singed rank test. The Benjamini-Hochberg procedure was performed to correct for multiple comparisons. RESULTS No significant cross-sectional area differences were seen between patients with MS and healthy controls at baseline or at follow-up. During the follow-up, significant cross-sectional area decrease was found in patients with MS for the common carotid artery-ICAs (C4: P = .048; C7: P = .005; whole vessel: P = .012), for vertebral arteries (C3: P = .028; C4: P = .028; C7: P = .028; whole vessel: P = .012), and for the internal jugular veins (C3: P = .014; C4: P = .008; C5: P = .010; C6: P = .010; C7: P = .008; whole vessel: P = .002). Patients with MS without cardiovascular disease had significantly greater change than patients with MS with cardiovascular disease for internal jugular veins at all levels. CONCLUSIONS For 5 years, patients with MS showed significant cross-sectional area decrease of all major neck vessels, regardless of the disease course and cardiovascular status.
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Affiliation(s)
- L Pelizzari
- From the Department of Electronics Information and Bioengineering (L.P., G.B.), Politecnico di Milano, Milan, Italy.,Istituto di Ricovero e Cura a Carattere Scientifico (L.P., M.M.L.), Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - D Jakimovski
- Buffalo Neuroimaging Analysis Center (D.J., N.B., J.H., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences
| | - M M Laganà
- Istituto di Ricovero e Cura a Carattere Scientifico (L.P., M.M.L.), Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - N Bergsland
- Buffalo Neuroimaging Analysis Center (D.J., N.B., J.H., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences
| | - J Hagemeier
- Buffalo Neuroimaging Analysis Center (D.J., N.B., J.H., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences
| | - G Baselli
- From the Department of Electronics Information and Bioengineering (L.P., G.B.), Politecnico di Milano, Milan, Italy
| | - B Weinstock-Guttman
- Jacobs Multiple Sclerosis Center (B.W.-G.), Department of Neurology, School of Medicine and Biomedical Sciences
| | - R Zivadinov
- Buffalo Neuroimaging Analysis Center (D.J., N.B., J.H., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences .,Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York, Buffalo, New York
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37
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Increased CCL18 plasma levels are associated with neurodegenerative MRI outcomes in multiple sclerosis patients. Mult Scler Relat Disord 2018; 25:37-42. [PMID: 30031282 DOI: 10.1016/j.msard.2018.07.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 07/04/2018] [Accepted: 07/05/2018] [Indexed: 11/23/2022]
Abstract
BACKGROUND Chemokine ligands and co-stimulatory factors are involved in macrophage activation and differentiation processes that could contribute to multiple sclerosis (MS) pathogenesis. OBJECTIVE To investigate associations of C-C motif Ligand 18 (CCL18), C-C motif ligand 5 (CCL5) and soluble Cluster of Differentiation 86 (sCD86) with clinical and MRI measures in MS patients. METHODS Plasma levels of CCL18, CCL5 and sCD86 were evaluated in 138 MS patients (85 relapsing-remitting, RR-MS; 53 progressive, P-MS), and in 42 age- and sex-matched healthy individuals (HI). All subjects underwent standardized 3T MRI and clinical examinations. Multiple regression analysis of MRI outcomes as dependent variables was performed with age, gender, having P-MS, and plasma proteins as predictor variables. RESULTS Higher CCL18 plasma levels were found in P-MS (median = 51.5, IQR = 41.0-63.6 ng/mL) compared to RR-MS (median = 43.0, IQR = 29.1-55.0 ng/mL, p = 0.014) and to HI (median = 41.3, IQR = 30.9-54.1 ng/mL, p = 0.009). Disease-modifying treatments altered CCL5 (p = 0.036) and sCD86 (p < 0.001) levels. Higher CCL18 levels were associated with increased lateral ventricular volume (p = 0.006) and T2 lesion volume (LV) (p = 0.034), and decreased grey matter (p = 0.006), thalamic (p = 0.007) and cortical (p = 0.01) volumes. CONCLUSIONS Our results provide evidence that higher CCL18 plasma levels are associated with more severe inflammatory and neurodegenerative brain MRI outcomes in MS.
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38
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Fuchs TA, Carolus K, Benedict RHB, Bergsland N, Ramasamy D, Jakimovski D, Weinstock-Guttman B, Kuceyeski A, Zivadinov R, Dwyer MG. Impact of Focal White Matter Damage on Localized Subcortical Gray Matter Atrophy in Multiple Sclerosis: A 5-Year Study. AJNR Am J Neuroradiol 2018; 39:1480-1486. [PMID: 29976833 DOI: 10.3174/ajnr.a5720] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 05/18/2018] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE It is unclear to what extent subcortical gray matter atrophy is a primary process as opposed to a result of focal white matter damage. Correlations between WM damage and atrophy of subcortical gray matter have been observed but may be partly attributable to indirect relationships between co-occurring processes arising from a common cause. Our aim was to cross-sectionally and longitudinally characterize the unique impact of focal WM damage on the atrophy of connected subcortical gray matter regions, beyond what is explainable by global disease progression. MATERIALS AND METHODS One hundred seventy-six individuals with MS and 47 healthy controls underwent MR imaging at baseline and 5 years later. Atrophy and lesion-based disruption of connected WM tracts were evaluated for 14 subcortical gray matter regions. Hierarchic regressions were applied, predicting regional atrophy from focal WM disruption, controlling for age, sex, disease duration, whole-brain volume, and T2-lesion volume. RESULTS When we controlled for whole-brain volume and T2-lesion volume, WM tract disruption explained little additional variance of subcortical gray matter atrophy and was a significant predictor for only 3 of 14 regions cross-sectionally (ΔR2 = 0.004) and 5 regions longitudinally (ΔR2 = 0.016). WM tract disruption was a significant predictor for even fewer regions when correcting for multiple comparisons. CONCLUSIONS WM tract disruption accounts for a small percentage of atrophy in connected subcortical gray matter when controlling for overall disease burden and is not the primary driver in most cases.
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Affiliation(s)
- T A Fuchs
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - K Carolus
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center
| | - R H B Benedict
- Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - N Bergsland
- Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - D Ramasamy
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - D Jakimovski
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - B Weinstock-Guttman
- Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - A Kuceyeski
- Department of Radiology (A.K.), Weill Cornell Medicine, Feil Family Brain and Mind Research Institute, New York, New York
| | - R Zivadinov
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,MR Imaging Clinical Translational Research Center (R.Z.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - M G Dwyer
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center .,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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Ziliotto N, Bernardi F, Jakimovski D, Baroni M, Marchetti G, Bergsland N, Ramasamy DP, Weinstock-Guttman B, Schweser F, Zamboni P, Ramanathan M, Zivadinov R. Hemostasis biomarkers in multiple sclerosis. Eur J Neurol 2018; 25:1169-1176. [PMID: 29758118 DOI: 10.1111/ene.13681] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Accepted: 05/03/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND PURPOSE The aim was to investigate the plasma levels of hemostasis components in multiple sclerosis (MS) and their association with clinical and magnetic resonance imaging (MRI) outcomes. METHODS In all, 138 MS patients [85 with relapsing-remitting MS (RR-MS) and 53 with progressive MS (P-MS) with a mean age of 54 years; 72.5% female; median Expanded Disability Status Scale 3.5; mean disease duration 21 years] and 42 age- and sex-matched healthy individuals (HI) were studied. All subjects were examined with 3 T MRI and clinical examinations. Plasma levels of hemostasis factors [procoagulant, factor XII (FXII)] and inhibitors [tissue factor pathway inhibitor (TFPI), thrombomodulin, heparin cofactor II, a disintegrin-like and metalloprotease with thrombospondin type 1 motif 13 (ADAMTS13) and plasminogen activator inhibitor 1 (PAI-1)] were evaluated by magnetic Luminex assays and enzyme-linked immunosorbent assay. Associations between hemostasis plasma levels and clinical and MRI outcomes were assessed. RESULTS Lower ADAMTS13 levels were found in MS patients compared to HI (P = 0.008) and in MS patients presenting with cerebral microbleeds compared to those without (P = 0.034). Higher PAI-1 levels were found in MS patients compared to HI (P = 0.02). TFPI levels were higher in the P-MS subgroup compared to RR-MS patients (P = 0.011) and compared to HI (P = 0.002). No significant associations between hemostasis plasma levels and clinical or MRI outcomes were found. CONCLUSIONS Decreased ADAMTS13, particularly in MS patients with cerebral microbleeds, which deserves further investigation, and increased PAI-1 and TFPI levels were observed in MS patients, which deserves further investigation. No relationship between hemostasis plasma levels and measures of disease severity was detected.
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Affiliation(s)
- N Ziliotto
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - F Bernardi
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - D Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - M Baroni
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - G Marchetti
- Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy
| | - N Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - D P Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - B Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - F Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.,Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - P Zamboni
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
| | - M Ramanathan
- Department of Pharmaceutical Sciences, State University of New York, Buffalo, NY, USA
| | - R Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.,Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
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Haller S, Vernooij MW, Kuijer JPA, Larsson EM, Jäger HR, Barkhof F. Cerebral Microbleeds: Imaging and Clinical Significance. Radiology 2018; 287:11-28. [PMID: 29558307 DOI: 10.1148/radiol.2018170803] [Citation(s) in RCA: 182] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Cerebral microbleeds (CMBs), also referred to as microhemorrhages, appear on magnetic resonance (MR) images as hypointense foci notably at T2*-weighted or susceptibility-weighted (SW) imaging. CMBs are detected with increasing frequency because of the more widespread use of high magnetic field strength and of newer dedicated MR imaging techniques such as three-dimensional gradient-echo T2*-weighted and SW imaging. The imaging appearance of CMBs is mainly because of changes in local magnetic susceptibility and reflects the pathologic iron accumulation, most often in perivascular macrophages, because of vasculopathy. CMBs are depicted with a true-positive rate of 48%-89% at 1.5 T or 3.0 T and T2*-weighted or SW imaging across a wide range of diseases. False-positive "mimics" of CMBs occur at a rate of 11%-24% and include microdissections, microaneurysms, and microcalcifications; the latter can be differentiated by using phase images. Compared with postmortem histopathologic analysis, at least half of CMBs are missed with premortem clinical MR imaging. In general, CMB detection rate increases with field strength, with the use of three-dimensional sequences, and with postprocessing methods that use local perturbations of the MR phase to enhance T2* contrast. Because of the more widespread availability of high-field-strength MR imaging systems and growing use of SW imaging, CMBs are increasingly recognized in normal aging, and are even more common in various disorders such as Alzheimer dementia, cerebral amyloid angiopathy, stroke, and trauma. Rare causes include endocarditis, cerebral autosomal dominant arteriopathy with subcortical infarcts, leukoencephalopathy, and radiation therapy. The presence of CMBs in patients with stroke is increasingly recognized as a marker of worse outcome. Finally, guidelines for adjustment of anticoagulant therapy in patients with CMBs are under development. © RSNA, 2018.
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Affiliation(s)
- Sven Haller
- From the Affidea Centre de Diagnostic Radiologique de Carouge (CDRC), Geneva, Switzerland (S.H.); Faculty of Medicine, University of Geneva, Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H., E.M.L.); Department of Neuroradiology, University Hospital Freiburg, Freiburg, Germany (S.H.); Department of Radiology and Nuclear Medicine and Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands (M.W.V.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands (J.P.A.K., F.B.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, England (H.R.J., F.B.)
| | - Meike W Vernooij
- From the Affidea Centre de Diagnostic Radiologique de Carouge (CDRC), Geneva, Switzerland (S.H.); Faculty of Medicine, University of Geneva, Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H., E.M.L.); Department of Neuroradiology, University Hospital Freiburg, Freiburg, Germany (S.H.); Department of Radiology and Nuclear Medicine and Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands (M.W.V.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands (J.P.A.K., F.B.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, England (H.R.J., F.B.)
| | - Joost P A Kuijer
- From the Affidea Centre de Diagnostic Radiologique de Carouge (CDRC), Geneva, Switzerland (S.H.); Faculty of Medicine, University of Geneva, Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H., E.M.L.); Department of Neuroradiology, University Hospital Freiburg, Freiburg, Germany (S.H.); Department of Radiology and Nuclear Medicine and Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands (M.W.V.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands (J.P.A.K., F.B.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, England (H.R.J., F.B.)
| | - Elna-Marie Larsson
- From the Affidea Centre de Diagnostic Radiologique de Carouge (CDRC), Geneva, Switzerland (S.H.); Faculty of Medicine, University of Geneva, Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H., E.M.L.); Department of Neuroradiology, University Hospital Freiburg, Freiburg, Germany (S.H.); Department of Radiology and Nuclear Medicine and Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands (M.W.V.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands (J.P.A.K., F.B.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, England (H.R.J., F.B.)
| | - Hans Rolf Jäger
- From the Affidea Centre de Diagnostic Radiologique de Carouge (CDRC), Geneva, Switzerland (S.H.); Faculty of Medicine, University of Geneva, Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H., E.M.L.); Department of Neuroradiology, University Hospital Freiburg, Freiburg, Germany (S.H.); Department of Radiology and Nuclear Medicine and Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands (M.W.V.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands (J.P.A.K., F.B.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, England (H.R.J., F.B.)
| | - Frederik Barkhof
- From the Affidea Centre de Diagnostic Radiologique de Carouge (CDRC), Geneva, Switzerland (S.H.); Faculty of Medicine, University of Geneva, Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H., E.M.L.); Department of Neuroradiology, University Hospital Freiburg, Freiburg, Germany (S.H.); Department of Radiology and Nuclear Medicine and Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands (M.W.V.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands (J.P.A.K., F.B.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, England (H.R.J., F.B.)
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Fuchs TA, Dwyer MG, Kuceyeski A, Choudhery S, Carolus K, Li X, Mallory M, Weinstock-Guttman B, Jakimovski D, Ramasamy D, Zivadinov R, Benedict RHB. White matter tract network disruption explains reduced conscientiousness in multiple sclerosis. Hum Brain Mapp 2018; 39:3682-3690. [PMID: 29740964 DOI: 10.1002/hbm.24203] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2017] [Revised: 04/11/2018] [Accepted: 04/23/2018] [Indexed: 12/22/2022] Open
Abstract
Quantifying white matter (WM) tract disruption in people with multiple sclerosis (PwMS) provides a novel means for investigating the relationship between defective network connectivity and clinical markers. PwMS exhibit perturbations in personality, where decreased Conscientiousness is particularly prominent. This trait deficit influences disease trajectory and functional outcomes such as work capacity. We aimed to identify patterns of WM tract disruption related to decreased Conscientiousness in PwMS. Personality assessment and brain MRI were obtained in 133 PwMS and 49 age- and sex-matched healthy controls (HC). Lesion maps were applied to determine the severity of WM tract disruption between pairs of gray matter regions. Next, the Network-Based-Statistics tool was applied to identify structural networks whose disruption negatively correlates with Conscientiousness. Finally, to determine whether these networks explain unique variance above conventional MRI measures and cognition, regression models were applied controlling for age, sex, brain volume, T2-lesion volume, and cognition. Relative to HCs, PwMS exhibited lower Conscientiousness and slowed cognitive processing speed (p = .025, p = .006). Lower Conscientiousness in PwMS was significantly associated with WM tract disruption between frontal, frontal-parietal, and frontal-cingulate pathways in the left (p = .02) and right (p = .01) hemisphere. The mean disruption of these pathways explained unique additive variance in Conscientiousness, after accounting for conventional MRI markers of pathology and cognition (ΔR2 = .049, p = .029). Damage to WM tracts between frontal, frontal-parietal, and frontal-cingulate cortical regions is significantly correlated with reduced Conscientiousness in PwMS. Tract disruption within these networks explains decreased Conscientiousness observed in PwMS as compared with HCs.
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Affiliation(s)
- Tom A Fuchs
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Michael G Dwyer
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Amy Kuceyeski
- Weill Cornell Medicine, Department of Radiology, The Feil Family Brain and Mind Research Institute, 407 East 61st St, RR-115, New York, New York
| | - Sanjeevani Choudhery
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Keith Carolus
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Xian Li
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Matthew Mallory
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Dejan Jakimovski
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Deepa Ramasamy
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Robert Zivadinov
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Ralph H B Benedict
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
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42
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Geraldes R, Ciccarelli O, Barkhof F, De Stefano N, Enzinger C, Filippi M, Hofer M, Paul F, Preziosa P, Rovira A, DeLuca GC, Kappos L, Yousry T, Fazekas F, Frederiksen J, Gasperini C, Sastre-Garriga J, Evangelou N, Palace J. The current role of MRI in differentiating multiple sclerosis from its imaging mimics. Nat Rev Neurol 2018. [DOI: 10.1038/nrneurol.2018.14] [Citation(s) in RCA: 119] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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43
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Kim S, Chang L, Weinstock-Guttman B, Gandhi S, Jakimovski D, Carl E, Zivadinov R, Ramanathan M. Complementary and Alternative Medicine Usage by Multiple Sclerosis Patients: Results from a Prospective Clinical Study. J Altern Complement Med 2018; 24:596-602. [PMID: 29498537 DOI: 10.1089/acm.2017.0268] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To investigate the factors associated with complementary and alternative medicine (CAM) usage by multiple sclerosis (MS) patients. Design, Setting/Location: Single-center, prospective clinical study at an academic MS center in the northeastern United States. METHODS This study included CAM data from 524 MS patients and 304 healthy controls (HC) enrolled in a prospective study of clinical, neuroimaging, and environmental risk factors in MS at an academic MS Center. Clinical, neuroimaging, and disease-modifying treatment data were obtained. In addition, data on usage of CAM modalities, including acupuncture, aromatherapy, Ayurveda, Chinese herbal medicine, chiropractor, electromagnetic therapy, homeopathy, hypnosis, massage, naturopathy, Qi gong, Reiki, therapeutic touch, and bee stings were collected in an in-person interview. RESULTS The percentages of HC reporting usage of any CAM (32%) was similar to that in MS patients after diagnosis (30.5%). The usage of any CAM was higher in MS patients after MS diagnosis compared to before MS diagnosis (p < 0.001). The three most frequently used CAM for MS patients after MS diagnosis and HC were chiropractor, massage, and acupuncture. The most frequent reasons for CAM use were MS symptom relief, back problems, and pain. In multivariate analysis, female gender, higher education level, MS disease course, and not currently on disease-modifying therapies (DMT) treatment status were associated with CAM usage. CONCLUSIONS Gender, education level, DMT treatment status, and MS disease course are associated with CAM usage in MS patients. Ever-CAM usage patterns in MS patients are similar to those in HC.
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Affiliation(s)
- Soohyun Kim
- 1 Department of Pharmaceutical Sciences, State University of New York , Buffalo, Buffalo, New York
| | - Lawrence Chang
- 1 Department of Pharmaceutical Sciences, State University of New York , Buffalo, Buffalo, New York
| | | | - Sirin Gandhi
- 2 Department of Neurology, State University of New York , Buffalo, Buffalo, New York
| | - Dejan Jakimovski
- 2 Department of Neurology, State University of New York , Buffalo, Buffalo, New York
| | - Ellen Carl
- 2 Department of Neurology, State University of New York , Buffalo, Buffalo, New York
| | - Robert Zivadinov
- 2 Department of Neurology, State University of New York , Buffalo, Buffalo, New York
| | - Murali Ramanathan
- 1 Department of Pharmaceutical Sciences, State University of New York , Buffalo, Buffalo, New York.,2 Department of Neurology, State University of New York , Buffalo, Buffalo, New York
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44
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Sheykhansari S, Kozielski K, Bill J, Sitti M, Gemmati D, Zamboni P, Singh AV. Redox metals homeostasis in multiple sclerosis and amyotrophic lateral sclerosis: a review. Cell Death Dis 2018; 9:348. [PMID: 29497049 PMCID: PMC5832817 DOI: 10.1038/s41419-018-0379-2] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Revised: 12/13/2017] [Accepted: 12/27/2017] [Indexed: 12/12/2022]
Abstract
The effect of redox metals such as iron and copper on multiple sclerosis and amyotrophic lateral sclerosis has been intensively studied. However, the origin of these disorders remains uncertain. This review article critically describes the physiology of redox metals that produce oxidative stress, which in turn leads to cascades of immunomodulatory alteration of neurons in multiple sclerosis and amyotrophic lateral sclerosis. Iron and copper overload has been well established in motor neurons of these diseases’ lesions. On the other hand, the role of other metals like cadmium participating indirectly in the redox cascade of neurobiological mechanism is less studied. In the second part of this review, we focus on this less conspicuous correlation between cadmium as an inactive-redox metal and multiple sclerosis and amyotrophic lateral sclerosis, providing novel treatment modalities and approaches as future prospects.
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Affiliation(s)
- Sahar Sheykhansari
- Max Planck Institute for Intelligent Systems, Heisenbergstr. 3, Stuttgart, 70569, Germany
| | - Kristen Kozielski
- Max Planck Institute for Intelligent Systems, Heisenbergstr. 3, Stuttgart, 70569, Germany
| | - Joachim Bill
- Institute for Materials Science, University of Stuttgart, Heisenbergstr. 3, Stuttgart, 70569, Germany
| | - Metin Sitti
- Max Planck Institute for Intelligent Systems, Heisenbergstr. 3, Stuttgart, 70569, Germany
| | - Donato Gemmati
- Hemostasis & Thrombosis Center - Azienda Ospedaliera-Universitaria di Ferrara, Ferrara, Italy
| | - Paolo Zamboni
- Translational Surgery Unit, Azienda Ospedaliera Universitaria di Ferrara, via Aldo Moro 8, 44124, Ferrara, Italy.
| | - Ajay Vikram Singh
- Max Planck Institute for Intelligent Systems, Heisenbergstr. 3, Stuttgart, 70569, Germany.
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45
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Roy S, Drake A, Fuchs T, Dwyer MG, Zivadinov R, Chapman BP, Weinstock-Guttman B, Benedict RH. Longitudinal personality change associated with cognitive decline in multiple sclerosis. Mult Scler 2018; 24:1352458517753720. [PMID: 29363385 DOI: 10.1177/1352458517753720] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We previously reported that personality and cognition were stable over 3 years in patients with multiple sclerosis (MS). This study examined whether a longer duration would reveal evidence of emerging personality dysfunction. The NEO Five-Factor Inventory and Brief International Cognitive Assessment for MS was used to assess personality and cognition, respectively. Patients were classified as "Cog Stable" or "Cog Decline" based on cognitive deterioration over 5 years. Extraversion and Conscientiousness declined across pooled groups. Follow-up of a group by time interaction found that decline in these traits was more evident in the Cog Decline group, demonstrating a link between personality and cognitive change.
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Affiliation(s)
- Shumita Roy
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA
| | - Allison Drake
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA
| | - Tom Fuchs
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA/Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA
| | - Michael G Dwyer
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA/Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA/Center for Biomedical Imaging at Clinical Translational Science Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA
| | - Robert Zivadinov
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA/Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA/Center for Biomedical Imaging at Clinical Translational Science Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA
| | - Benjamin P Chapman
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA
| | - Ralph Hb Benedict
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA
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46
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Belov P, Jakimovski D, Krawiecki J, Magnano C, Hagemeier J, Pelizzari L, Weinstock-Guttman B, Zivadinov R. Lower Arterial Cross-Sectional Area of Carotid and Vertebral Arteries and Higher Frequency of Secondary Neck Vessels Are Associated with Multiple Sclerosis. AJNR Am J Neuroradiol 2018; 39:123-130. [PMID: 29217748 DOI: 10.3174/ajnr.a5469] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 08/17/2017] [Indexed: 01/27/2023]
Abstract
BACKGROUND AND PURPOSE Arterial and neck vessel system characteristics of patients with multiple sclerosis have not been previously investigated. Therefore, the aim of this study was to examine the frequency of neck vessels and their cross-sectional areas (in square millimeters) between patients with MS and healthy controls. MATERIALS AND METHODS In this study, 193 patients with MS and 193 age- and sex-matched healthy controls underwent 2D TOF venography at 3T. The main arterial (carotid and vertebral), venous (internal jugular), and secondary neck vessels were examined at 4 separate cervical levels (C2/3, C4, C5/6, and C7/T1). The ANCOVA adjusted for age, body mass index, smoking status, hypertension, and heart disease was used to compare the differences between patients with MS and healthy controls. RESULTS After controlling for all confounding factors, patients with MS had significantly lower cross-sectional areas of the carotid arteries at the C2/3 (P = .03), C5/6 (P = .026), and C7/T1 (P = .005) levels as well as of the vertebral arteries at the C2/3 (P = .02), C4 (P = .012), and C7/T1 (P = .006) levels, compared with healthy controls. A higher frequency of secondary neck vessels was found at all 4 levels in patients with MS: C2/3 (12.9 versus 10, P < .001), C4 (9.1 versus 7.5, P < .001), C5/6 (7.8 versus 6.8, P = .012), and C7/T1 (8.8 versus 6, P < .001). The total cross-sectional areas of secondary neck vessels were also significantly higher at all 4 levels (P < .03). No significant differences in the cross-sectional areas of jugular veins were found between patients with MS and healthy controls. CONCLUSIONS Patients with MS showed lower cross-sectional areas of the carotid and vertebral arteries and a higher frequency of secondary neck vessels and their cross-sectional areas compared with healthy controls.
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Affiliation(s)
- P Belov
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
| | - D Jakimovski
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
| | - J Krawiecki
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
| | - C Magnano
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
| | - J Hagemeier
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
| | - L Pelizzari
- Department of Electronics, Information and Bioengineering (L.P.), Politecnico di Milano, Milan, Italy
- Fondazione Don Carlo Gnocchi Organizzazione Non Lucrativa di Utilita' Sociae (L.P.), Milan, Italy
| | | | - R Zivadinov
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
- Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York, Buffalo, New York
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Pelizzari L, Laganà MM, Jakimovski D, Bergsland N, Hagemeier J, Baselli G, Zivadinov R. Neck Vessel Cross-Sectional Area Measured with MRI: Scan-Rescan Reproducibility for Longitudinal Evaluations. J Neuroimaging 2017; 28:48-56. [PMID: 29205670 DOI: 10.1111/jon.12488] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Revised: 10/19/2017] [Accepted: 11/07/2017] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND AND PURPOSE The cross-sectional area (CSA) of common carotid arteries-internal carotid arteries (CCA-ICAs), vertebral arteries (VAs), and internal jugular veins (IJVs) is influenced by aging. However, the neck vessel CSA can be affected by other factors as well, including subject positioning, hydration, and respiration, especially in longitudinal studies. This study aimed to assess scan-rescan reproducibility of CCA-ICAs, VAs, and IJVs CSA measurements in order to evaluate their feasibility for longitudinal CSA assessments, and to apply the segmentation method on a longitudinal pilot dataset. METHODS Two set of 2-dimensional neck magnetic resonance angiography (MRA) images were acquired on a 3-T scanner from two separate datasets: 9 healthy individuals (HIs) were scanned 5 days apart (scan-rescan dataset) and 12 HIs were acquired 5 years apart (baseline-follow-up dataset). CCA-ICAs, VAs, and IJVs were segmented along the whole vessel length between C3 and C7 intervertebral spaces. Repeated measure analysis of covariance, adjusted for cervical level and sample, and Wilcoxon signed-rank sum test were used to assess the scan-rescan and baseline-follow-up CSA differences. Intraclass correlation coefficient (ICC) was also computed to evaluate scan-rescan reliability. RESULTS No significant CSA differences were found for the scan-rescan and baseline-follow-up CSA comparisons, using the whole vessel length or single cervical level measurements. ICC analysis showed good degree of scan-rescan reproducibility (considering whole vessel measures: ICC > .9, P-value < .001 for CCA-ICAs, ICC > .6, P-value < .001 for VAs, and ICC > .7, P-value < .001 for IJVs). CONCLUSIONS Scan-rescan reproducibility of CCA-ICAs, VAs, and IJVs CSA measurements is high, making longitudinal studies feasible.
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Affiliation(s)
- Laura Pelizzari
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.,IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | | | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Giuseppe Baselli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Translational Imaging Center at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY
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48
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Distinct cognitive impairments in different disease courses of multiple sclerosis—A systematic review and meta-analysis. Neurosci Biobehav Rev 2017; 83:568-578. [DOI: 10.1016/j.neubiorev.2017.09.005] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 09/02/2017] [Accepted: 09/04/2017] [Indexed: 12/13/2022]
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49
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Hagemeier J, Ramanathan M, Schweser F, Dwyer MG, Lin F, Bergsland N, Weinstock-Guttman B, Zivadinov R. Iron-related gene variants and brain iron in multiple sclerosis and healthy individuals. NEUROIMAGE-CLINICAL 2017; 17:530-540. [PMID: 29201641 PMCID: PMC5699896 DOI: 10.1016/j.nicl.2017.11.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 11/01/2017] [Accepted: 11/03/2017] [Indexed: 12/14/2022]
Abstract
Brain iron homeostasis is known to be disturbed in multiple sclerosis (MS), yet little is known about the association of common gene variants linked to iron regulation and pathological tissue changes in the brain. In this study, we investigated the association of genetic determinants linked to iron regulation with deep gray matter (GM) magnetic susceptibility in both healthy controls (HC) and MS patients. Four hundred (400) patients with MS and 150 age- and sex-matched HCs were enrolled and obtained 3 T MRI examination. Three (3) single nucleotide polymorphisms (SNPs) associated with iron regulation were genotyped: two SNPs in the human hereditary hemochromatosis protein gene HFE: rs1800562 (C282Y mutation) and rs1799945 (H63D mutation), as well as the rs1049296 SNP in the transferrin gene (C2 mutation). The effects of disease and genetic status were studied using quantitative susceptibility mapping (QSM) voxel-based analysis (VBA) and region-of-interest (ROI) analysis of the deep GM. The general linear model framework was used to compare groups. Analyses were corrected for age and sex, and adjusted for false discovery rate. We found moderate increases in susceptibility in the right putamen of participants with the C282Y (+ 6.1 ppb) and H63D (+ 6.9 ppb) gene variants vs. non-carriers, as well as a decrease in thalamic susceptibility of progressive MS patients with the C282Y mutation (left: − 5.3 ppb, right: − 6.7 ppb, p < 0.05). Female MS patients had lower susceptibility in the caudate (− 6.0 ppb) and putamen (left: − 3.9 ppb, right: − 4.6 ppb) than men, but only when they had a wild-type allele (p < 0.05). Iron-gene linked increases in putamen susceptibility (in HC and relapsing remitting MS) and decreases in thalamus susceptibility (in progressive MS), coupled with apparent sex interactions, indicate that brain iron in healthy and disease states may be influenced by genetic factors. Magnetic susceptibility and common gene variants linked to iron were investigated. The C282Y and H63D alleles were associated with putamen and thalamus susceptibility changes. Dependent on allele status, men and women differed in deep GM susceptibility in MS.
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Key Words
- EDSS, Expanded Disability Status Scale
- FDR, false discovery rate
- FWE, family-wise error rate
- GLM, general linear model
- GM, gray matter
- GRE, gradient recalled echo
- HC, healthy control
- HFE, human hemochromatosis gene
- Iron
- Iron related genes
- MS, multiple sclerosis
- MSSS, multiple sclerosis severity scale
- Multiple sclerosis
- QSM
- QSM, quantitative susceptibility mapping
- Quantitative susceptibility mapping
- ROI, region of interest
- RRMS, relapsing-remitting multiple sclerosis
- SNP, single nucleotide polymorphism
- T1w, T1-weighted
- TF, transferrin
- TFCE, threshold-free cluster enhancement
- VBA, voxel-based analysis
- ppb, parts per billion
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Affiliation(s)
- Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY, USA
| | - Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Fuchun Lin
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
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Daugherty AM, Raz N. Incident risk and progression of cerebral microbleeds in healthy adults: a multi-occasion longitudinal study. Neurobiol Aging 2017; 59:22-29. [PMID: 28800410 PMCID: PMC5612885 DOI: 10.1016/j.neurobiolaging.2017.07.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 06/24/2017] [Accepted: 07/10/2017] [Indexed: 12/21/2022]
Abstract
Decline in cerebrovascular health complicates brain aging, and development of cerebral microbleeds (CMBs) is one of its prominent indicators. In a large sample of healthy adults (N = 251, age 18-78 years at baseline, 70% women), the contributions of chronological age and vascular health indicators to the risk of developing a CMB, as well as the change in CMB size and iron content, were examined in a prospective 8-year longitudinal study using susceptibility weighted imaging. Twenty-six persons (10.4%), most of whom were 40 years of age or older, had at least 1 CMB during the study. Older age was associated with greater risk for developing a CMB (odds ratio 1.03). Elevation of combined metabolic syndrome indicators (b = 0.15, p = 0.001) conferred additional risk (odds ratio 1.02). High body mass index exacerbated the risk associated with poor vascular health (b = 0.75, p < 0.001) and frequent exercise mitigated it (b = -0.46, p = 0.03). CMBs persisted over time, yet their volume decreased (mean change = -0.32, p < 0.05), whereas their relative iron content remained stable (mean change = -0.14, p = 0.05). We conclude that although developing a CMB is unlikely during normal aging, risk increases with declining vascular health, which is modifiable via behavioral and pharmaceutical intervention.
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Affiliation(s)
- Ana M Daugherty
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
| | - Naftali Raz
- Department of Psychology and Institute of Gerontology, Wayne State University, Detroit, MI, USA; Max Planck Institute for Human Development, Berlin, Germany
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