Results 211 to 220 of about 7,767,658 (304)
Neurological complication burden and in-hospital mortality in non-HIV tuberculous meningitis across the lifespan: a retrospective cohort study. [PDF]
Zhou Y +7 more
europepmc +1 more source
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera +20 more
wiley +1 more source
Stem Cells in Large Animal Models of Retinal and Neurological Disease
Henry Klassen +4 more
doaj +1 more source
Translational Potential of the Epoxyeicosatrienoic Acid Pathway in Neurological Disorders. [PDF]
Wang Y, He Z.
europepmc +1 more source
ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch +5 more
wiley +1 more source
Awareness, Misconceptions, and Cultural Beliefs About Functional Neurological Disorders: A Cross-Sectional Study. [PDF]
Alshimemeri S +4 more
europepmc +1 more source
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
GLP-1, GIP, and Glucagon Receptor Agonism at the Obesity-Neurodegeneration Interface: A Narrative Review. [PDF]
Popa E +10 more
europepmc +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source

