Multiple sclerosis relapses: epidemiology, outcomes and management. A systematic review

T Kalincik - Neuroepidemiology, 2015 - karger.com
Relapses (episodic exacerbations of neurological signs or symptoms) are a defining feature
of relapsing-remitting multiple sclerosis (MS), the most prevalent MS phenotype. While their …

Functional connectivity in multiple sclerosis: recent findings and future directions

M Tahedl, SM Levine, MW Greenlee, R Weissert… - Frontiers in …, 2018 - frontiersin.org
Multiple sclerosis is a debilitating disorder resulting from scattered lesions in the central
nervous system. Because of the high variability of the lesion patterns between patients, it is …

The radiologically isolated syndrome: revised diagnostic criteria

C Lebrun-Frénay, DT Okuda, A Siva… - Brain, 2023 - academic.oup.com
The radiologically isolated syndrome (RIS) was defined in 2009 as the presence of
asymptomatic, incidentally identified demyelinating-appearing white matter lesions in the …

MRI in the assessment and monitoring of multiple sclerosis: an update on best practice

UW Kaunzner, SA Gauthier - Therapeutic advances in …, 2017 - journals.sagepub.com
Magnetic resonance imaging (MRI) has developed into the most important tool for the
diagnosis and monitoring of multiple sclerosis (MS). Its high sensitivity for the evaluation of …

[HTML][HTML] Fluctuations of spontaneous EEG topographies predict disease state in relapsing-remitting multiple sclerosis

M Gschwind, M Hardmeier, D Van De Ville… - NeuroImage: Clinical, 2016 - Elsevier
Spontaneous fluctuations of neuronal activity in large-scale distributed networks are a
hallmark of the resting brain. In relapsing-remitting multiple sclerosis (RRMS) several fMRI …

Prognostic relevance of MRI in early relapsing multiple sclerosis: ready to guide treatment decision making?

O Hoffmann, R Gold, SG Meuth… - Therapeutic …, 2024 - journals.sagepub.com
Magnetic resonance imaging (MRI) of the brain and spinal cord plays a crucial role in the
diagnosis and monitoring of multiple sclerosis (MS). There is conclusive evidence that brain …

[HTML][HTML] Predicting outcome in clinically isolated syndrome using machine learning

V Wottschel, DC Alexander, PP Kwok, DT Chard… - NeuroImage: Clinical, 2015 - Elsevier
We aim to determine if machine learning techniques, such as support vector machines
(SVMs), can predict the occurrence of a second clinical attack, which leads to the diagnosis …

Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome

Y Yoo, LYW Tang, DKB Li, L Metz, S Kolind… - Computer Methods in …, 2019 - Taylor & Francis
Multiple sclerosis (MS) is a neurological disease with an early course that is characterised
by attacks of clinical worsening, separated by variable periods of remission. The ability to …

[HTML][HTML] The sequence of structural, functional and cognitive changes in multiple sclerosis

I Dekker, MM Schoonheim, V Venkatraghavan… - NeuroImage: Clinical, 2021 - Elsevier
Background As disease progression remains poorly understood in multiple sclerosis (MS),
we aim to investigate the sequence in which different disease milestones occur using a …

Effectiveness and safety of early high-efficacy versus escalation therapy in relapsing-remitting multiple sclerosis in Argentina

JI Rojas, L Patrucco, R Alonso, O Garcea… - Clinical …, 2022 - journals.lww.com
Objective Escalation (ES) and early high-efficacy (EHE) therapies have been the main
treatment strategies adopted in multiple sclerosis (MS) in recent years. The aim of this study …