P
Peter C. M. Molenaar
Researcher at Queensland University of Technology
Publications - 559
Citations - 22056
Peter C. M. Molenaar is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Acetylcholine & Myasthenia gravis. The author has an hindex of 72, co-authored 548 publications receiving 20418 citations. Previous affiliations of Peter C. M. Molenaar include Baker IDI Heart and Diabetes Institute & Leiden University.
Papers
More filters
Journal ArticleDOI
Antibody effector mechanisms in myasthenia gravis-pathogenesis at the neuromuscular junction.
Alejandro M. Gomez,Joost Van Den Broeck,Kathleen Vrolix,Sofie Janssen,Marijke A. M. Lemmens,Eline van der Esch,Hans Duimel,Peter M. Frederik,Peter C. M. Molenaar,Pilar Martinez-Martinez,Marc H. De Baets,Mario Losen +11 more
TL;DR: Findings suggest that MuSK-MG may be different in etiological and pathological mechanisms from AChR-MG, and the effector functions of IgG subclasses on synapse structure and function are discussed in this review.
Journal ArticleDOI
Dynamic factor analysis of nonstationary multivariate time series
TL;DR: In this article, a dynamic nonstationary factor model (DNFM) is proposed for the analysis of multivariate non-stationary time series in the time domain, where nonstationarity in the series is represented by a linear time dependent mean function.
Journal ArticleDOI
Problems with centrality measures in psychopathology symptom networks: Why network psychometrics cannot escape psychometric theory
TL;DR: It is argued that centrality measures do not provide solid ground for understanding the structure of psychopathology when latent confounding exists and it is essential for network psychometric approaches to examine the evidence for latent variables prior to analyzing or interpreting patterns at the symptom level.
Journal ArticleDOI
Organizing heterogeneous samples using community detection of GIMME-derived resting state functional networks
TL;DR: Empirical evidence presented here supports notions that heterogeneity exists in brain physiology within ADHD and control samples, and can assist in better characterizing patients in terms of outcomes, optimal treatment strategies, potential gene-environment interactions, and the use of biological phenomenon to assist with mental health.
Journal ArticleDOI
Characterization of β1- and β2-adrenoceptors in rat skeletal muscles
TL;DR: Autoradiographic studies supported the findings from binding studies with membrane homogenates, and the ICYP binding pattern was associated closely with the muscle fiber types identified by SDH staining, and Propranolol-resistant binding sites were observed.