January 11, 2023
Brain Age Gap in NMOSD Patients Compared to Healthy Controls
Machine learning-based brain age calculations were found to be significantly predictive biomarkers in patients with NMOSD and RRMS. Neuroimaging-based “brain age” is a commonly used biomarker for quantifying the progress of both brain disease and aging [1]. Biological brain age is usually estimated by using various approaches for interpreting magnetic resonance imaging (MRI) data. There...
The Subjective Experience of Spasticity in Patients with Multiple Sclerosis
This study focuses on the unique subjective experience of spasticity in patients with MS in order to give clinicians and nurses additional insights into how to support patients dealing with this frustrating symptom. Spasticity is one of the central symptoms experienced by individuals with multiple sclerosis (MS) and is a cause of increased disability. Spasticity...
Types of Anxiety in People with Multiple Sclerosis
Patients with multiple sclerosis can experience various mental health difficulties, and this study focuses specifically on the prevalence of anxiety in this population. Among patients with multiple sclerosis (MS), anxiety represents one of the most common psychological symptoms and can impact both overall disease burden and quality of life. The psychopathological feature of anxiety can...
Comparing Rituximab Efficacy in Patients with NMOSD and MOGAD
Rituximab shows promising effects in patients with NMOSD, but is less effective in patients with MOGAD. The efficacy of rituximab in patients with myelin oligodendrocyte glycoprotein antibody-associated disorders (MOGADs) is not fully understood but has been shown to be relatively greater for aquaporin-4-IgG-positive neuromyelitis optica spectrum disorders (AQP4-IgG+NMOSDs). This study, published in the Journal of...