Cover Image - Multiple Sclerosis and Related Disorders, Volume 56, Issue
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Multiple Sclerosis and Related Disorders

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Multiple Sclerosis and Related Disorders

Cover Image - Multiple Sclerosis and Related Disorders, Volume 56, Issue

Multiple Sclerosis is an area of ever expanding research and escalating publications. Multiple Sclerosis and Related Disorders is a wide ranging international journal supported by key researchers from all neuroscience domains that focus on MS and associated disease of the central nervous system. The primary aim of this new journal is the rapid publication of high quality original research in the field. Important secondary aims will be timely updates and editorials on important scientific and clinical care advances, controversies in the field, and invited opinion articles from current thought leaders on topical issues. One section of the journal will focus on teaching, written to enhance the practice of community and academic neurologists involved in the care of MS patients. Summaries of key articles written for a lay audience will be provided as an on-line resource.

A team of four chief editors is supported by leading section editors who will commission and appraise original and review articles concerning: clinical neurology, neuroimaging, neuropathology, neuroepidemiology, therapeutics, genetics / transcriptomics, experimental models, neuroimmunology, biomarkers, neuropsychology, neurorehabilitation, measurement scales, teaching, neuroethics and lay communication.

The journal will publish the following types of articles: Reviews; Original Research Articles; Editorials; Comment; Clinical Trial papers; Letter to the Editors; Case Reports; Book reviews; News. The submission of an on-line summary of selected papers of relevance for lay audience, Teaching Lessons and supporting images and datasets is also encouraged.

Editor's Choice

Detection of ataxia in low disability MS patients by hybrid convolutional neural networks based on images of plantar pressure distribution

Balgetir and colleagues used hybrid convolutional neural networks to assess the ability of plantar pressure distribution to detect ataxia in patients with MS. The authors included images of plantar pressure distribution from 43 patients with MS with known ataxia and 62 healthy individuals. They used a deep learning algorithm, convolutional neural network, to identify and classify the images. The patients were minimally impaired but had known ataxia. Subjects followed a three-step protocol, using the Win-Trak platform, from which images were extracted. Quantitative data were then uploaded and analyzed using established DL methods. The hybrid model BVGG19-SVM detected ataxia in PwMS using pretrained CNN models with 89.23% accuracy (89.65% sensitivity and 88.88% specificity). Given the excellent performance metrics of the model, this method has potential to be translated to clinical settings for rapid diagnosis of ataxia in minimally impaired subjects.

– Dr. E. Ann Yeh
[email protected]

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Call for Papers

Submit your best research for fast review and publication in Multiple Sclerosis and Related Disorders

The Editors-in-Chief of Multiple Sclerosis and Related Disorders, Professor Emmanuelle Waubant, Professor Gavin Giovannoni, Professor Christopher H Hawkes and Professor Fred D. Lublin invite you to submit your best research and review articles to the journal.

Submit now via our dedicated online submission system:

CME Activities

Multiple Sclerosis and Related Disorders now provides access to peer-reviewed Official eCME Multimedia Activities designed to deliver quality education through an interactive experience. eCME Multimedia Activities are reviewed by the journal editors and are found to be educational and of interest to our readership.

View all CME activities

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