The neuropathobiology of multiple sclerosis

MS Woo, JB Engler, MA Friese - Nature Reviews Neuroscience, 2024 - nature.com
Chronic low-grade inflammation and neuronal deregulation are two components of a
smoldering disease activity that drives the progression of disability in people with multiple …

The potential of serum neurofilament as biomarker for multiple sclerosis

S Bittner, J Oh, EK Havrdová, M Tintoré, F Zipp - Brain, 2021 - academic.oup.com
Multiple sclerosis is a highly heterogeneous disease, and the detection of neuroaxonal
damage as well as its quantification is a critical step for patients. Blood-based serum …

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

A Shoeibi, M Khodatars, M Jafari, P Moridian… - Computers in Biology …, 2021 - Elsevier
Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In …

Subcortical volumes as early predictors of fatigue in multiple sclerosis

V Fleischer, D Ciolac, G Gonzalez‐Escamilla… - Annals of …, 2022 - Wiley Online Library
Objective Fatigue is a frequent and severe symptom in multiple sclerosis (MS), but its
pathophysiological origin remains incompletely understood. We aimed to examine the …

Current review and next steps for artificial intelligence in multiple sclerosis risk research

M Hartmann, N Fenton, R Dobson - Computers in Biology and Medicine, 2021 - Elsevier
In the last few decades, the prevalence of multiple sclerosis (MS), a chronic inflammatory
disease of the nervous system, has increased, particularly in Northern European countries …

Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome

B Barile, P Ashtari, C Stamile, A Marzullo… - Frontiers in Robotics …, 2022 - frontiersin.org
Purpose: The main goal of this study is to investigate the discrimination power of Grey Matter
(GM) thickness connectome data between Multiple Sclerosis (MS) clinical profiles using …

Graph-based analysis of brain connectivity in multiple sclerosis using functional MRI: A systematic review

S Hejazi, W Karwowski, FV Farahani, T Marek… - Brain Sciences, 2023 - mdpi.com
(1) Background: Multiple sclerosis (MS) is an immune system disease in which myelin in the
nervous system is affected. This abnormal immune system mechanism causes physical …

Brain functional connectivity analysis in patients with relapsing-remitting multiple sclerosis: A graph theory approach of EEG resting state

S Shirani, M Mohebbi - Frontiers in Neuroscience, 2022 - frontiersin.org
Multiple sclerosis (MS) is an autoimmune disease related to the central nervous system
(CNS). This study aims to investigate the effects of MS on the brain's functional connectivity …

Associations between connectivity in functional brain networks and gait speed in older adults with and without multiple sclerosis

S Nayak, ME Wagshul, FW Foley, RW Motl… - Journal of Neurology, 2025 - Springer
Objective To assess whether resting-state functional connectivity (RSFC) brain networks are
associated with gait speed in a sample of older adults with and without multiple sclerosis …

The relationship between cognitive impairment, cognitive fatigue, and visual evoked potential latency in people with multiple sclerosis

TJ Covey, D Golan, GM Doniger, R Sergott… - Multiple Sclerosis and …, 2022 - Elsevier
Background: Fatigue in people with multiple sclerosis (PwMS) can impact physical,
cognitive, and psychosocial domains of daily life. The experience of fatigue in PwMS is …