Background: There are no clinical features or biomarkers that can reliably differentiate acute disseminated encephalomyelitis from multiple sclerosis at the first demyelination attack. Consequently, a final diagnosis is sometimes delayed by months and years of follow-up. Early treatment for multiple sclerosis is recommended to reduce long-term disability. Therefore, we intend to explore neuroimaging biomarkers that can reliably distinguish between the two diagnoses.
Methods: We reviewed prospectively collected clinical, standard MRI and diffusion tensor imaging data from 12 pediatric patients who presented with acute demyelination with and without encephalopathy. Patients were followed for an average of 6.5 years to determine the accuracy of final diagnosis. Final diagnosis was determined using 2013 International Pediatric MS Study Group criteria. Control subjects consisted of four age-matched healthy individuals for each patient.
Results: The study population consisted of six patients with central nervous system demyelination with encephalopathy with a presumed diagnosis of acute disseminated encephalomyelitis and six without encephalopathy with a presumed diagnosis of multiple sclerosis or clinically isolated syndrome at high risk for multiple sclerosis. During follow-up, two patients with initial diagnosis of acute disseminated encephalomyelitis were later diagnosed with multiple sclerosis. Diffusion tensor imaging region of interest analysis of baseline scans showed differences between final diagnosis of multiple sclerosis and acute disseminated encephalomyelitis patients, whereby low fractional anisotropy and high radial diffusivity occurred in multiple sclerosis patients compared with acute disseminated encephalomyelitis patients and the age-matched controls.
Conclusions: Fractional anisotropy and radial diffusivity measures may have the potential to serve as biomarkers for distinguishing acute disseminated encephalomyelitis from multiple sclerosis at the onset.
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http://dx.doi.org/10.1016/j.pediatrneurol.2017.09.016 | DOI Listing |
Sci Rep
January 2025
Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China.
The conventional statistical approach for analyzing resting state functional MRI (rs-fMRI) data struggles to accurately distinguish between patients with multiple sclerosis (MS) and those with neuromyelitis optic spectrum disorders (NMOSD), highlighting the need for improved diagnostic efficacy. In this study, multilevel functional metrics including resting state functional connectivity, amplitude of low frequency fluctuation (ALFF), and regional homogeneity (ReHo) were calculated and extracted from 116 regions of interest in the anatomical automatic labeling atlas. Subsequently, classifiers were developed using different combinations of these selected features to distinguish between MS and NMOSD.
View Article and Find Full Text PDFNeuron
January 2025
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Mayo Clinic, Rochester, MN, USA; Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, MN, USA. Electronic address:
Autoimmune neurology is a rapidly expanding field driven by the discovery of neuroglial autoantibodies and encompassing a myriad of conditions affecting every level of the nervous system. Traditionally, autoantibodies targeting intracellular antigens are considered markers of T cell-mediated cytotoxicity, while those targeting extracellular antigens are viewed as pathogenic drivers of disease. However, recent advances highlight complex interactions between these immune mechanisms, suggesting a continuum of immunopathogenesis.
View Article and Find Full Text PDFJ Neural Eng
January 2025
Department of Biomedical Engineering, The University of Melbourne, Parkville, Melbourne, Victoria, 3010, AUSTRALIA.
Multiple Sclerosis (MS) is a heterogeneous autoimmune-mediated disorder affecting the central nervous system, commonly manifesting as fatigue and progressive limb impairment. This can significantly impact quality of life due to weakness or paralysis in the upper and lower limbs. A Brain-Computer Interface (BCI) aims to restore quality of life through control of an external device, such as a wheelchair.
View Article and Find Full Text PDFJ Neurol Sci
January 2025
Multiple Sclerosis Center, Binaghi Hospital, ASL Cagliari, Italy; Department of Medical Sciences and Public Health, University of Cagliari, Italy.
Background: Migraine affects up to 40% of people with multiple sclerosis (PwMS). This study aimed to evaluate the effectiveness and safety of the combination of antibodies (mAbs) against CGRP (anti-CGRP mAbs) with disease-modifying treatments (DMTs) for MS (mAb and non-mAbs) and their impact on MS disease course.
Methods: This retrospective, multicentric study included PwMS from 14 MS Centers, treated with an anti-CGRP mAb and a stable treatment with DMTs.
J Neuroophthalmol
December 2024
Experimental and Clinical Research Center (FCO, HGZ, SM, CB, ESA, CC, FP, AUB), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; NeuroCure Clinical Research Center (FCO, HGZ, SM, CB, ESA, CC, FP, AUB), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Department of Neurology (AJG), University of California San Francisco, San Francisco, California; Neurology (RM, ACC), Multiple Sclerosis, Myelin Disorders and Neuroinflammation Pierre Wertheimer Neurological Hospital, Hospices Civils de Lyon, France; Centre d'Esclerosi Múltiple de Catalunya (Cemcat) (ACC), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Experimental Neurophysiology Unit (LL, MP, M. Radaelli), Institute of Experimental Neurology (INSPE) Scientific Institute, Hospital San Raffaele and University Vita-Salute San Raffaele, Milan, Italy; Hospital Clinic of Barcelona-Institut d'Investigacions (PV, BS-D, EHM-L), Biomèdiques August Pi Sunyer, (IDIBAPS), Barcelona, Spain; CIEM MS Research Center (MAL-P, MAF), University of Minas Gerais, Medical School, Belo Horizonte, Brazil; Department of Neurology (OA, M. Ringelstein, PA), Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Department of Neurology (M. Ringelstein), Centre for Neurology and Neuropsychiatry, LVR Klinikum, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Department of Medicine (MRY), Harbor-University of California at Los Angeles (UCLA) Medical Center, and Lundquist Institute for Biomedical Innovation, Torrance, California; Department of Medicine (MRY), David Geffen School of Medicine at UCLA, Los Angeles, California; Departments of Ophthalmology and Visual Sciences (TJS), Kellogg Eye Center, University of Michigan Medical School, Ann Arbor, Michigan; Division of Metabolism, Endocrine and Diabetes (TJS, LC), Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan; Department of Neurology (FP), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; and Department of Neurology (AUB), University of California, Irvine, California.
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