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Cited by 457

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Mechanisms of neuronal dysfunction and degeneration in multiple sclerosis

Open access
Dutta, Ranjan, Trapp, Bruce D.·2011·Progress in Neurobiology

Abstract

Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system. Due to its high prevalence, MS is the leading cause of non-traumatic neurological disability in young adults in the United States and Europe. The clinical disease course is variable and starts with reversible episodes of neurological disability in the third or fourth decade of life. This transforms into a disease of continuous and irreversible neurological decline by the sixth or seventh decade. Available therapies for MS patients have little benefit for patients who enter this irreversible phase of the disease. It is well established that irreversible loss of axons and neurons are the major cause of the irreversible and progressive neurological decline that most MS patients endure. This review discusses the etiology, mechanisms and progress made in determining the cause of axonal and neuronal loss in MS.

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Crossref · 10.1016/j.pneurobio.2010.09.005

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Metadata

Authors
Dutta, R., & Trapp, B. D.
Venue
Progress in Neurobiology
Publisher
Elsevier BV
Published
2011-01
Volume
93
Issue
1
Pages
1-12
ISSN
0301-0082 (ISSN-L)
OpenAlex
W2006178657
Cited by
457
References
15
FWCI
15.19
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mechanisms of neuronal dysfunction and degeneration in multiple sclerosis. https://app.cochat.ai/papers/10.1016/j.pneurobio.2010.09.005
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Dutta, R., & Trapp, B. D. (2011). Mechanisms of neuronal dysfunction and degeneration in multiple sclerosis. Progress in Neurobiology. https://doi.org/10.1016/j.pneurobio.2010.09.005

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.