Results 91 to 100 of about 6,020,192 (375)
A Superpixel Segmentation Based Technique for Multiple Sclerosis Lesion Detection [PDF]
arXiv, 2019 A Superpixel Segmentation Based Technique for Multiple Sclerosis Lesion ...
arxiv
Altered human oligodendrocyte heterogeneity in multiple sclerosis
Nature, 2019 Oligodendrocyte pathology is increasingly implicated in neurodegenerative diseases as oligodendrocytes both myelinate and provide metabolic support to axons.
S. Jäkel +9 more
semanticscholar +1 more source
Calcium modulating ligand confers risk for Parkinson's disease and impacts lysosomes
Annals of Clinical and Translational Neurology, EarlyView.Abstract Objective Several genetic loci known to confer risk for Parkinson's disease (PD) function in lysosomal pathways. We systematically screened common variants linked to PD risk by genome‐wide association studies (GWAS) for impact on cerebrospinal fluid (CSF) proteins reflecting lysosomal function.
Hanwen Zhang +16 more
wiley +1 more source
Neuronal vulnerability and multilineage diversity in multiple sclerosis
Nature, 2019 Multiple sclerosis (MS) is a neuroinflammatory disease with a relapsing–remitting disease course at early stages, distinct lesion characteristics in cortical grey versus subcortical white matter and neurodegeneration at chronic stages.
Lucas Schirmer +23 more
semanticscholar +1 more source
Progressive Myoclonus Epilepsy: Distinctive MRI Changes in Cerebellar and Motor Networks
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progressive myoclonus epilepsy (PME) is a rare generalized epilepsy syndrome with a well‐characterized genetic basis. The brain networks that are affected to give rise to the distinctive symptoms of PME are less well understood. Methods Eleven individuals with PME with a confirmed genetic diagnosis and 22 controls were studied.
Jillian M. Cameron +3 more
wiley +1 more source
Disability prediction in multiple sclerosis using performance outcome measures and demographic data [PDF]
arXiv, 2022 Literature on machine learning for multiple sclerosis has primarily focused on the use of neuroimaging data such as magnetic resonance imaging and clinical laboratory tests for disease identification. However, studies have shown that these modalities are not consistent with disease activity such as symptoms or disease progression. Furthermore, the cost
arxiv
Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines
Brain : a journal of neurology, 2019 MRI has improved the diagnostic work-up of multiple sclerosis, but inappropriate image interpretation has contributed to misdiagnosis. Filippi et al. provide a practical guide to the proper recognition of multiple sclerosis lesions, including a thorough ...
M. Filippi +16 more
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Certain frontotemporal lobar degeneration subtypes, including TDP‐A and B, can either occur sporadically or in association with specific genetic mutations. It is uncertain whether syndromic or imaging features previously associated with these patient groups are subtype or genotype specific.
Sean Coulborn +17 more
wiley +1 more source
Predicting multiple sclerosis disease severity with multimodal deep neural networks [PDF]
arXiv, 2023 Multiple Sclerosis (MS) is a chronic disease developed in human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease is monitored by the Expanded Disability Status Scale (EDSS), composed of several functional sub-scores.
arxiv
A randomized, placebo-controlled trial of natalizumab for relapsing multiple sclerosis.
New England Journal of Medicine, 2006 BACKGROUND Natalizumab is the first alpha4 integrin antagonist in a new class of selective adhesion-molecule inhibitors. We report the results of a two-year phase 3 trial of natalizumab in patients with relapsing multiple sclerosis.
C. Polman +13 more
semanticscholar +1 more source