Characterizing the Mechanisms and Progression in Multiple Sclerosis: Evidence and New Hypotheses for Future Directions

2006 ◽  
Vol 63 (5) ◽  
pp. 786 ◽  
Author(s):  
Colin L. Crawford ◽  
Peter M. D. Hardwicke
Keyword(s):  
Multiple Sclerosis ◽  
Future Directions

Digital Technology in Clinical Trials for Multiple Sclerosis: a systematic review. (Preprint)

2020 ◽  
Author(s):  
Marcello De Angelis ◽  
Luigi Lavorgna ◽  
Antonio Carotenuto ◽  
Martina Petruzzo ◽  
Roberta Lanzillo ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Clinical Trial ◽  
Clinical Trials ◽  
Outcome Measures ◽  
Digital Technology ◽  
Clinical Trial Design ◽  
Motor Rehabilitation ◽  
Robot Assisted ◽  
Future Directions ◽  
Treatment Side Effects

BACKGROUND Clinical trials in multiple sclerosis (MS) have leveraged the use of digital technology to overcome limitations in treatment and disease monitoring. OBJECTIVE To review the use of digital technology in concluded and ongoing MS clinical trials. METHODS In March 2020, we searched for “multiple sclerosis” and “trial” on pubmed.gov and clinicaltrials.gov using “app”, “digital”, “electronic”, “internet” and “mobile” as additional search words, separately. Overall, we included thirty-five studies. RESULTS Digital technology is part of clinical trial interventions to deliver psychotherapy and motor rehabilitation, with exergames, e-training, and robot-assisted exercises. Also, digital technology has become increasingly used to standardise previously existing outcome measures, with automatic acquisitions, reduced inconsistencies, and improved detection of symptoms. Some trials have been developing new patient-centred outcome measures for the detection of symptoms and of treatment side effects and adherence. CONCLUSIONS We will discuss how digital technology has been changing MS clinical trial design, and possible future directions for MS and neurology research.

scholarly journals Deep-Brain Stimulation for Essential Tremor and Other Tremor Syndromes: A Narrative Review of Current Targets and Clinical Outcomes

2020 ◽  
Vol 10 (12) ◽  
pp. 925
Author(s):  
Christian Iorio-Morin ◽  
Anton Fomenko ◽  
Suneil K. Kalia
Keyword(s):  
Multiple Sclerosis ◽  
Deep Brain Stimulation ◽  
Essential Tremor ◽  
Brain Stimulation ◽  
Zona Incerta ◽  
Future Directions ◽  
Ventral Intermediate Nucleus ◽  
Prevalent Symptom ◽  
Multiple Conditions ◽  
Deep Brain

Tremor is a prevalent symptom associated with multiple conditions, including essential tremor (ET), Parkinson’s disease (PD), multiple sclerosis (MS), stroke and trauma. The surgical management of tremor evolved from stereotactic lesions to deep-brain stimulation (DBS), which allowed safe and reversible interference with specific neural networks. This paper reviews the current literature on DBS for tremor, starting with a detailed discussion of current tremor targets (ventral intermediate nucleus of the thalamus (Vim), prelemniscal radiations (Raprl), caudal zona incerta (Zi), thalamus (Vo) and subthalamic nucleus (STN)) and continuing with a discussion of results obtained when performing DBS in the various aforementioned tremor syndromes. Future directions for DBS research are then briefly discussed.

Challenges in the classification of pediatric multiple sclerosis and future directions

Neurology ◽  
2007 ◽  
Vol 68 (Issue 16, Supplement 2) ◽  
pp. S70-S74 ◽  
Author(s):  
A. L. Belman ◽  
T. Chitnis ◽  
C. Renoux ◽  
E. Waubant ◽  
Keyword(s):  
Multiple Sclerosis ◽  
Future Directions ◽  
Pediatric Multiple Sclerosis

Multiple Sclerosis: Etiological Mechanisms and Future Directions

2004 ◽  
Vol 229 (1) ◽  
pp. 12-20 ◽  
Author(s):  
J. D. Lutton ◽  
R. Winston ◽  
T. C. Rodman
Keyword(s):  
Multiple Sclerosis ◽  
Future Directions

scholarly journals MRI Texture Analysis in Multiple Sclerosis

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Yunyan Zhang
Keyword(s):  
Multiple Sclerosis ◽  
Texture Analysis ◽  
Disease Pathogenesis ◽  
Accurate Identification ◽  
Future Directions ◽  
Structural Alterations ◽  
Tissue Integrity ◽  
If Technique ◽  
Organizational Patterns ◽  
Generate Characteristic

Multiple sclerosis (MS) is a complicated disease characterized by heterogeneous pathology that varies across individuals. Accurate identification and quantification of pathological changes may facilitate a better understanding of disease pathogenesis and progression and help identify novel therapies for MS patients. Texture analysis evaluates interpixel relationships that generate characteristic organizational patterns in an image, many of which are beyond the ability of visual perception. Given its promise detecting subtle structural alterations texture analysis may be an attractive means to evaluate disease activity and evolution. It may also become a new tool to assess therapeutic efficacy if technique issues are resolved and pathological correlates are further confirmed. This paper describes the concept, strategies, and considerations of MRI texture analysis; summarizes applications of texture analysis in MS as a measure of tissue integrity and its clinical relevance; then discusses potentially future directions of texture analysis in MS.

scholarly journals The Epidemiology Study in Multiple Sclerosis - Relevance to Natural History

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Jeffrey Sloka
Keyword(s):  
Multiple Sclerosis ◽  
Natural History ◽  
Search Strategy ◽  
Demyelinating Disease ◽  
Epidemiological Studies ◽  
Reference Points ◽  
Specific Reference ◽  
Future Directions ◽  
History Of ◽  
The Central Nervous System

Multiple sclerosis (MS) is a chronic, demyelinating disease of the central nervous system white matter that has been extensively studied using the epidemiological approach, and yet an etiology for the disease remains elusive. This paper presents a review of past publications that have made suggestions toward the design of epidemiological studies in MS. A formal search strategy is described, and a short summary of these papers is provided. A natural history of MS based on previous studies is proposed as a framework for describing future directions in the neuroepidemiology of the disease, and categorization based on the clinical forms of MS is described. Within the context of a proposed natural history, suggestions are made on the use of sub-regionalization in cluster studies across different domains, as well as on the use of specific reference points in a patient's lifetime in the analysis of clusters.

Multiple Sclerosis

2017 ◽  
Author(s):  
Pavan Bhargava ◽  
Peter A. Calabresi
Keyword(s):  
Multiple Sclerosis ◽  
Immunosuppressive Agents ◽  
Treatment Strategies ◽  
Current Treatment ◽  
Phase 2 ◽  
Future Directions ◽  
Disease Modifying Therapies ◽  
Future Challenges ◽  
Brain And Spinal Cord ◽  
The Brain

Multiple sclerosis is a chronic demyelinating neurological disorder of the brain and spinal cord, with both inflammatory and degenerative components. Current treatment strategies utilize immunomodulatory and immunosuppressive agents to reduce the inflammatory disease activity and retard accumulation of disability. Future challenges for treatment include identifying agents that will promote remyelination and axonal protection to help impact progressive forms of multiple sclerosis. This chapter discusses currently available disease modifying therapies, agents currently in phase 2/3 trials, and future directions in the treatment of multiple sclerosis.

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