Results 41 to 50 of about 44,319 (309)

Moyamoya Disease May Mimic Multiple Sclerosis?

Case Reports in Neurological Medicine, 2019
Introduction. A wide range of medical conditions may mimic multiple sclerosis. Among them, cerebrovascular diseases, including moyamoya disease, need to be excluded since they share common clinical features and radiographic findings with multiple ...
Ioanna Spanou, Maria-Eleftheria Evangelopoulos, Georgios Velonakis, Nikolaos Logiotatos, Achilleas Chatziioannou, Constantinos Potagas, Constantinos Kilidireas, Sophia Vassilopoulou   +7 more
doaj   +1 more source

Functional diversity of chemokines and chemokine receptors in response to viral infection of the central nervous system. [PDF]

, 2006
Encounters with neurotropic viruses result in varied outcomes ranging from encephalitis, paralytic poliomyelitis or other serious consequences to relatively benign infection.
A. Meyer, A.A. Dandekar, A.D. Luster, B. Mehrad, B. Parra, B. Parra, B.D. Pearce, B.P. Chen, B.T. Fife, C. Gerard, C. Ramakrishna, C. Ramakrishna, C.A. Biron, C.E. Patterson, C.J. Raport, C.M. Hogaboam, D. Franciotta, D. Galimberti, D. Whiting, D.D. Taub, D.J. Mahad, D.M. Muller, D.N. Cook, D.P. Widney, E. Lazzeri, E.J. McMahon, F.R. Fischer, F.S. Cheever, G. Penna, G. Penna, G.B. Huffnagle, G.C. Hildebrandt, G.F. Wu, H. Bartosik-Psujek, H.G. Fischer, H.G. Fischer, I. Banisor, I. Clark-Lewis, I. Salomon, I. Tsunoda, I.E. Flesch, J. Gosling, J.B. Domachowske, J.C. Houck, J.F. Bazan, J.H. Dufour, J.H. Xie, J.J. Phillips, J.M. Farber, J.S. Haring, J.S. Haring, J.S. Williamson, J.S. Williamson, K. Holmes, K. McIntosh, K.E. Balashov, K.S. Held, K.S. Warmington, K.V. Holmes, L. Boring, L. Boring, L. Cartier, L. Gu, L. Gu, L. Pewe, L. Pewe, M. Baggiolini, M. Greter, M. Matsui, M.A. Olszewski, M.J. Buchmeier, M.J. Trifilo, M.J. Trifilo, M.J. Trifilo, M.M. Lai, M.T. Lin, M.T. Lin, M.T. Liu, M.T. Liu, M.T. Liu, N. Sato, N.J. Megjugorac, N.W. Marten, R. Gade-Andavolu, R. Watanabe, R.F. Castro, R.S. Klein, S. Narumi, S. Qin, S. Xue, S.A. Stohlman, S.A. Stohlman, S.D. Miller, S.M. Stamatovic, S.R. Perlman, T.E. Lane, T.E. Lane, T.E. Lane, T.L. Sorensen, T.L. Sorensen, T.S. Kim, T.S. Kim, W.G. Glass, W.G. Glass, W.G. Glass, W.G. Glass, W.J. Karpus, Y. Zhang, Y. Zhou   +108 more
core   +1 more source

Prediction of the information processing speed performance in multiple sclerosis using a machine learning approach in a large multicenter magnetic resonance imaging data set

Human Brain Mapping, Volume 44, Issue 1, Page 186-202, January 2023., 2023
We developed an advanced machine learning pipeline to identify brain structural magnetic resonance imaging (MRI) volumes that, along with demographic and clinical data, predict information processing speed (IPS) performance, assessed with the Symbol Digit Modalities Test (SDMT), of patients with multiple sclerosis (MS).
Chiara Marzi, Alessandro d'Ambrosio, Stefano Diciotti, Alvino Bisecco, Manuela Altieri, Massimo Filippi, Maria Assunta Rocca, Loredana Storelli, Patrizia Pantano, Silvia Tommasin, Rosa Cortese, Nicola De Stefano, Gioacchino Tedeschi, Antonio Gallo, the INNI Network   +14 more
wiley   +1 more source

Nodes, paranodes and neuropathies [PDF]

, 2017
This review summarises recent evidence supporting the involvement of the specialised nodal and perinodal domains (the paranode and juxtaparanode) of myelinated axons in the pathology of acquired, inflammatory, peripheral neuropathies.The identification ...
Fehmi, Janev, Rinaldi, Simon, Scherer, Steven S., Willison, Hugh J.   +3 more
core   +1 more source

Iron Rim Lesions as a Specific and Prognostic Biomarker of Multiple Sclerosis: 3T-Based Susceptibility-Weighted Imaging

Diagnostics, 2023
This study aimed to identify the clinical significance of iron rim lesions (IRLs) in distinguishing multiple sclerosis (MS) from other central nervous system (CNS) demyelinating diseases, determine the relationship between IRLs and disease severity, and ...
Sooyoung Kim, Eun Kyoung Lee, Chang June Song, Eunhee Sohn   +3 more
doaj   +1 more source

MRI Images, Brain Lesions and Deep Learning [PDF]

arXiv, 2021
Medical brain image analysis is a necessary step in Computer Assisted /Aided Diagnosis (CAD) systems. Advancements in both hardware and software in the past few years have led to improved segmentation and classification of various diseases. In the present work, we review the published literature on systems and algorithms that allow for classification ...
arxiv  

A Perspective of Coagulation Dysfunction in Multiple Sclerosis and in Experimental Allergic Encephalomyelitis [PDF]

, 2018
A key role of both coagulation and vascular thrombosis has been reported since the first descriptions of multiple sclerosis (MS). Subsequently, the observation of a close concordance between perivascular fibrin(ogen) deposition and the occurrence of ...
Adams, Adams, Akassoglou, Akassoglou, Akenami, Akenami, Albright, Alizadeh, Alonso, Amor, Antoniak, Beggs, Bidot, Bitsch, Boesen, Brkic, Bronstein, Brunetti, Castellino, Cesarman-Maus, Chapman, Chelmicka-Szorc, Claudio, Compston, Coughlin, Cuzner, Danø, Davalos, Davalos, Davidson, Davie, De Luca, Dekaban, Deschepper, Donovan, East, Ed Rainger, Engelmann, Esmon, Esmon, Fan, Fan, Farber, Feldman, Ferguson, Festoff, Field, Fiorini, Flick, Fog, Friedman, Garcia-Monco, García, Garg, Genc, Gloor, Griffin, Griffin, Guenther, Gveric, Göbel, Göbel, Göbel, Hafler, Han, Horstman, Huszak, Inaba, Inoue, Iong, Jacob, Jones, Kalaria, Kirichuk, Kirk, Kirk, Knauer, Koudriavtseva, Koudriavtseva, Koudriavtseva, Koudriavtseva, Kreutzberg, Kuhlmann, Kwon, Lane, Langer, Lassmann, Lassmann, Lassmann, Lesny, Liddelow, Lider, Lin, Lin, Lock, Lu, Mahmood, Mandoj, Marik, Mechelli, Miranda, Moll, Murray, Park, Parsons, Paterson, Perez, Persson, Persson, Petersen, Phillips, Pike, Plantone, Plumb, Putnam, Putnam, Rand, Reese, Reinhard, Roizin, Ryu, Ryu, Saberi, Savitky, Seeds, Seeds, Sheremata, Simón, Smith, Sobel, Soon, Sotnikov, Spadaro, Starossom, Starossom, Stavrou, Stolz, Teesalu, Tennent, Ugarova, Uzawa, van der Poll, Varga, Verrall, Wachowicz, Wakefield, Weisel, Whitlock, Wittinghofer, Wolter, Wright, Xue, Yadav, Yamaji, Yates, Yuksel, Zhang, Ziliotto, Zivadinov   +158 more
core   +1 more source

Analysis of humoral and cellular immunity after SARS-CoV-2 vaccination in patients with multiple sclerosis treated with immunomodulatory drugs

Clinical Immunology Communications, 2023
We analyzed immune response to SARS-CoV-2 vaccination by measuring specific IgG titers and T-cell reactivity to different SARS-CoV-2 peptides in multiple sclerosis patients taking different disease-modifying treatments.
Virginia Meca-Lallana, Laura Esparcia-Pinedo, Clara Aguirre, Carolina Díaz-Pérez, Ainhoa Gutierrez-Cobos, Mónica Sobrado, Estefanía Carabajal, Beatriz del Río, Noelia Ropero, Ramón Villagrasa, José Vivancos, Francisco Sanchez-Madrid, Arantzazu Alfranca   +12 more
doaj  

Automated Methods for Detecting and Quantitation of Enlarged Perivascular spaces on MRI

Journal of Magnetic Resonance Imaging, Volume 57, Issue 1, Page 11-24, January 2023., 2023
The brain's glymphatic system is a network of intracerebral vessels that function to remove “waste products” such as degraded proteins from the brain. It comprises of the vasculature, perivascular spaces (PVS), and astrocytes. Poor glymphatic function has been implicated in numerous diseases; however, its contribution is still unknown.
Jasmine Moses, Ben Sinclair, Meng Law, Terence J. O'Brien, Lucy Vivash   +4 more
wiley   +1 more source

Fulminant Demyelinating Diseases [PDF]

The Neurohospitalist, 2013
Fulminant demyelinating disease is a heading that covers acute disseminated encephalomyelitis and its variant acute hemorrhagic leukoencephalitis (Hurst disease), severe relapses of multiple sclerosis (MS), variants of MS (tumefactive MS, Marburg variant, Balo concentric sclerosis, myelinoclastic diffuse sclerosis), and neuromyelitis optica-spectrum ...
Orhun H. Kantarci, Megan R. Rahmlow
openaire   +3 more sources