Results 241 to 250 of about 3,885,632 (340)

The rs10191329 Risk Allele Is Associated With Pronounced Retinal Layer Atrophy in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate whether the rs10191329 risk allele in the DYSF–ZNF638 locus, which is implicated in central nervous system resilience rather than immune‐mediated pathology, is associated with retinal layer thinning, a biomarker of neuroaxonal damage in relapsing multiple sclerosis (RMS). Methods From a prospective observational study,
Gabriel Bsteh   +22 more
wiley   +1 more source

Subspace Complexity Reduction in Direction-of-Arrival Estimation via the RASA Algorithm. [PDF]

open access: yesSensors (Basel)
Bapir-Bakr B   +4 more
europepmc   +1 more source

Quantitative Iron Measurements in the Basal Ganglia of NBIA Patients Using QSM: Insights From a Tertiary Center

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurodegeneration with brain iron accumulation (NBIA) comprises rare genetic disorders characterized by predominantly extrapyramidal symptoms and iron deposition in the basal ganglia. Conventional magnetic resonance imaging (MRI) detects qualitative changes but cannot accurately quantify iron accumulation. Quantitative susceptibility
Özge Uygun   +21 more
wiley   +1 more source

Bilateral versus Unilateral Training With Rhythmic Auditory Cueing in Stroke Rehabilitation: Effects on Upper Limb Function and Interhemispheric Inhibition

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stroke is a leading cause of long‐term disability in adults, with upper limb hemiparesis being a common impairment. Traditional training is mostly aimed at paralyzed limbs, but the effect of bilateral training is still unclear.
Fangfang Qian   +7 more
wiley   +1 more source

A Review of Neural Network-Based Image Noise Processing Methods. [PDF]

open access: yesSensors (Basel)
Volkov AA   +9 more
europepmc   +1 more source

ICU‐EEG Pattern Detection by a Convolutional Neural Network

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano   +5 more
wiley   +1 more source

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