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Multiple Sclerosis: Bench to Bedside

Overview of attention for book
Attention for Chapter 8: Clinical Neurophysiology of Multiple Sclerosis
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Chapter title
Clinical Neurophysiology of Multiple Sclerosis
Chapter number 8
Book title
Multiple Sclerosis: Bench to Bedside
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-47861-6_8
Pubmed ID
Book ISBNs
978-3-31-947860-9, 978-3-31-947861-6
Authors

Mario Habek, Ivan Adamec, Barbara Barun, Luka Crnošija, Tereza Gabelić, Magdalena Krbot Skorić, Habek, Mario, Adamec, Ivan, Barun, Barbara, Crnošija, Luka, Gabelić, Tereza, Krbot Skorić, Magdalena

Abstract

Different neurophysiological methods such as evoked potentials (EP), testing of the autonomic nervous system (ANS) or polysomnography have the potential to detect clinically silent lesions or to confirm the existence of an association between a clinical symptom and multiple sclerosis (MS); previously undetected by MRI. Therefore, in the most recent MRI criteria for the diagnosis of MS (MAGNIMS consensus guidelines), neurophysiological confirmation of optic nerve dysfunction (slowed conduction on visual EP), support dissemination in space and, in patients without concurrent visual symptoms, dissemination in time. In this chapter we will review the existing evidence regarding the role of different neurophysiological tests (specifically the role of EPs, autonomic nervous system testing and sleep testing in MS) in the diagnosis and management of MS.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Other 7 15%
Student > Bachelor 7 15%
Researcher 6 13%
Student > Doctoral Student 5 10%
Student > Master 5 10%
Other 11 23%
Unknown 7 15%
Readers by discipline Count As %
Medicine and Dentistry 25 52%
Neuroscience 4 8%
Nursing and Health Professions 2 4%
Engineering 2 4%
Social Sciences 2 4%
Other 3 6%
Unknown 10 21%