Results 91 to 100 of about 628,110 (283)
Insights Into the Antigenic Repertoire of Unclassified Synaptic Antibodies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We sought to characterize the sixth most common finding in our neuroimmunological laboratory practice (tissue assay‐observed unclassified neural antibodies [UNAs]), combining protein microarray and phage immunoprecipitation sequencing (PhIP‐Seq). Methods Patient specimens (258; 133 serums; 125 CSF) meeting UNA criteria were profiled;
Michael Gilligan +22 more
wiley +1 more source
Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer +14 more
wiley +1 more source
Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
mplot: An R Package for Graphical Model Stability and Variable Selection Procedures
Journal of Statistical Software, 2018 The mplot package provides an easy to use implementation of model stability and variable inclusion plots (Müller and Welsh 2010; Murray, Heritier, and Müller 2013) as well as the adaptive fence (Jiang, Rao, Gu, and Nguyen 2008; Jiang, Nguyen, and Rao ...
Garth Tarr +2 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin +11 more
wiley +1 more source
Influence of landscape matrix on urban bird abundance: evidence from Malaysian citizen science data
Journal of Asia-Pacific Biodiversity, 2019 Large cities in the tropics often comprise a myriad of manmade and natural elements that influence wildlife composition. Based on a citizen science–based project conducted in 2015, this study examined the combined effects of landscape factors on the bird
Chong Leong Puan +5 more
doaj +1 more source
Theory of Gaussian variational approximation for a Poisson mixed model [PDF]
, 2011 Likelihood-based inference for the parameters of generalized linear mixed models is hindered by the presence of intractable integrals. Gaussian variational approximation provides a fast and effective means of approximate inference. We provide some theory
Hall, P, Ormerod, JT, Wand, MP
core +1 more source
Robust Estimation in Generalized Linear Mixed Models
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2002 SummaryGeneralized linear mixed models (GLMMs) are widely used to analyse non-normal response data with extra-variation, but non-robust estimators are still routinely used. We propose robust methods for maximum quasi-likelihood and residual maximum quasi-likelihood estimation to limit the influence of outlying observations in GLMMs.
Yau, Kelvin K. W., Kuk, Anthony Y. C.
openaire +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source