Results 261 to 270 of about 5,912,088 (357)
Axioms that define semi-metric, Moore and metric spaces [PDF]
J. R. Boyd
openalex +1 more source
ABSTRACT Objective Amygdala enlargement has been the subject of controversial studies regarding its significance in terms of pathogenicity both in epilepsy and in psychiatric comorbidities such as anxiety, depression, and post‐traumatic stress disorder.
Hélène Mourre+15 more
wiley +1 more source
Learning to Match Appearances by Correlations in a Covariance Metric Space
Sławomir Bąk+4 more
semanticscholar +1 more source
ABSTRACT Objective People with HIV (PWH) on antiretroviral therapy (ART) still experience neurocognitive dysfunction and accelerated brain volume loss. To assess whether the serotonergic and dopaminergic systems are affected, we used [11C]DASB positron emission tomography (PET) to assess presynaptic serotonergic function and [18F]FDOPA PET to measure ...
Chuen‐Yen Lau+12 more
wiley +1 more source
Translating Muscle RNAseq Into the Clinic for the Diagnosis of Muscle Diseases
ABSTRACT Objective Approximately half of patients with hereditary myopathies remain without a definitive genetic diagnosis after DNA next‐generation sequencing (NGS). Here, we implemented transcriptome analysis of muscle biopsies as a complementary diagnostic tool for patients with muscle disease but no definitive genetic diagnosis after exome ...
Alba Segarra‐Casas+24 more
wiley +1 more source
SUBSPACE THEORY OF AN $n$ -DIMENSIONAL SPACE WITH AN ALGEBRAIC METRIC [PDF]
Keinosuke Tonooka
openalex +1 more source
ABSTRACT Background Myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) can radiographically mimic multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD). The disease hallmarks cortical lesion, central vein sign (CVS) and paramagnetic rim lesions identified in MS have not yet been comprehensively investigated in ...
Lei Su+19 more
wiley +1 more source
Actionable Wearables Data for the Neurology Clinic: A Proof‐of‐Concept Tool
ABSTRACT Objective Wearable devices can monitor key health and fitness domains. In multiple sclerosis (MS), monitoring step count and sleep is feasible, valid, and offers a holistic glimpse of patient functioning and worsening. However, data generated from wearables are typically unavailable at the point of care.
Nicolette Miller+12 more
wiley +1 more source