Related Experiment Video
Updated: Jul 16, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
The natural history of relapses in multiple sclerosis
1Division of Neurology, Barrow Neurological Institute, 500 W. Thomas Road, Suite #710, Phoenix, Arizona 85013, USA. Timothy.Vollmer@chw.edu
Abstract:
Relapses are a defining feature of multiple sclerosis (MS), serving as the basis for categorizing the different phases of the disease, and providing a means of measuring treatment success, following disease activity, and defining prognostic features. While the dissociation between relapses and disease progression indicates the boundaries of relapse history in determining disease course over time, it also highlights the importance of relapses to overall disease evolution. A broad understanding of relapse definition and dynamics is important to promote accurate diagnosis, patient management, and treatment decisions. In an attempt to describe the underlying etiology and clinical impact of relapses in MS, this review will examine relapse findings from natural history studies, the utility of relapse as a predictor of disease course, the factors that may contribute to relapse, and data on relapse resolution. The relationship of clinical relapses to MRI disease activity and to the onset of progressive disease will also be addressed.
Related Concept Videos
Multiple Sclerosis l: Introduction
Classification of Illness
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
Psychological and Sociocultural Causes of Schizophrenia
Myasthenia Gravis ll: Pathophysiology
Immunological Memory
What is Immunological Memory?
Immunological memory is an integral function of the immune system that allows it to recognize and react more rapidly and effectively to pathogens previously encountered. This feature is...

