Results 41 to 50 of about 421,641 (311)
Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong +7 more
wiley +1 more source
Patient level dataset to study the effect of COVID-19 in people with Multiple Sclerosis
Multiple Sclerosis (MS) is an inflammatory autoimmune disease of the central nervous system, causing increased vulnerability to infections and disability among young adults. Ever since the outbreak of coronavirus disease 2019 (COVID-19), caused by severe
Hamza Khan +4 more
doaj +1 more source
ABSTRACT Objectives To evaluate the utility of cerebrospinal fluid (CSF) biomarkers—matrix metalloproteinase‐9 (MMP‐9), tissue inhibitor of metalloproteinases‐1 (TIMP‐1), the MMP‐9/TIMP‐1 ratio, and osteopontin (OPN)—as indicators of blood–brain barrier (BBB) integrity and disease activity in people with relapsing–remitting multiple sclerosis (pwMS ...
Ivan Pavlovic +6 more
wiley +1 more source
Gut Microbiome in Progressive Multiple Sclerosis
This study was undertaken to investigate the gut microbiome in progressive multiple sclerosis (MS) and how it relates to clinical disease.
Laura M. Cox +17 more
semanticscholar +1 more source
The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen +5 more
wiley +1 more source
Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data
Multiple sclerosis (MS) can be divided into four phenotypes based on clinical evolution. The pathophysiological boundaries of these phenotypes are unclear, limiting treatment stratification.
A. Eshaghi +11 more
semanticscholar +1 more source
Nationwide Survey of Atopic Myelitis and Plexin D1‐Immunoglobulin G‐Related Pain
ABSTRACT Objective To elucidate the features of plexin D1‐immunoglobulin (Ig)G‐associated neuropathic pain and its relationship to atopic myelitis (AM) in a nationwide Japanese survey. Methods A preliminary survey questionnaire was sent to 1574 selected departments (neurology and pediatrics/pediatric neurology) to explore the numbers of AM and plexin ...
Jun‐ichi Kira +10 more
wiley +1 more source
Escalation or high-efficacy disease-modifying therapies in multiple sclerosis [PDF]
Elnaz Asadollahzadeh
doaj +1 more source
Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih +40 more
wiley +1 more source
Network Localization of Fatigue in Multiple Sclerosis
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source

