Results 251 to 260 of about 331,793 (319)
A Novel α‐Synuclein K58N Missense Variant in a Patient with Parkinson's Disease
Abstract Background Parkinson's disease (PD) is a complex multifactorial disorder with a genetic component in about 15% of cases. Multiplications and point mutations in SNCA gene, encoding α‐synuclein (aSyn), are linked to rare familial forms of PD. Objective Our goal was to assess the clinical presentation and the biological effects of a novel K58N ...
Mohammed Al‐Azzani +24 more
wiley +1 more source
A New Phenotype–Genotype Correlation for FIG4 and Parkinson's Disease
Movement Disorders Clinical Practice, EarlyView.
Iro Boura +4 more
wiley +1 more source
Abstract Objectives The aim was to evaluate the safety, tolerability, pharmacokinetics, and potential clinical efficacy of AZP2006, an oral pleiotropic drug modulating progranulin levels, in patients with progressive supranuclear palsy (PSP), a rare tauopathy. Methods A randomized, double‐blind, placebo‐controlled, parallel‐group trial was conducted at
Jean‐Christophe Corvol +17 more
wiley +1 more source
Rehabilitation of Attentional Disorders in Cerebrovascular Disease.
Hajime Hirabayashi +5 more
openalex +2 more sources
RRP12 Variants Are Associated With Autosomal Recessive Brain Calcifications
Abstract Background Primary brain calcifications are observed in several inherited diseases due to different pathogenic mechanisms, including the disruption of the neurovascular unit, mitochondrial dysfunction, and impaired nucleic acid metabolism.
Edoardo Monfrini +19 more
wiley +1 more source
Abstract Background Deep brain stimulation (DBS) and magnetic resonance–guided focused ultrasound (MRgFUS) are associated with neuroaxonal damage and astroglial activation; yet their extent and timing remain unclear despite clinical relevance for monitoring and outcome assessment.
Justina Dargvainiene +12 more
wiley +1 more source
ASL 4D MRA Intracranial Vessel Segmentation With Deep Learning U‐Nets
ABSTRACT Purpose To propose a spatio‐temporal U‐Net based network (4DST) that exploits both spatial and dynamic information while avoiding memory‐intensive 4D convolutional layers for ASL‐based non‐contrast enhanced 4‐dimensional MR angiography (4D MRA) vessel segmentation.
Sang Hun Chung +7 more
wiley +1 more source

