Cargando…
Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis
BACKGROUND: Evoked potentials (EPs) are a measure of the conductivity of the central nervous system. They are used to monitor disease progression of multiple sclerosis patients. Previous studies only extracted a few variables from the EPs, which are often further condensed into a single variable: th...
Autores principales: | Yperman, Jan, Becker, Thijs, Valkenborg, Dirk, Popescu, Veronica, Hellings, Niels, Wijmeersch, Bart Van, Peeters, Liesbet M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085864/ https://www.ncbi.nlm.nih.gov/pubmed/32199461 http://dx.doi.org/10.1186/s12883-020-01672-w |
Ejemplares similares
-
Deciphering the Morphology of Motor Evoked Potentials
por: Yperman, Jan, et al.
Publicado: (2020) -
Motor evoked potentials for multiple sclerosis, a multiyear follow-up dataset
por: Yperman, Jan, et al.
Publicado: (2022) -
Cytotoxic CD4+ T Cells Drive Multiple Sclerosis Progression
por: Peeters, Liesbet M., et al.
Publicado: (2017) -
Cytomegalovirus infection exacerbates autoimmune mediated neuroinflammation
por: Vanheusden, Marjan, et al.
Publicado: (2017) -
Compositional Changes of B and T Cell Subtypes during Fingolimod Treatment in Multiple Sclerosis Patients: A 12-Month Follow-Up Study
por: Claes, Nele, et al.
Publicado: (2014)