Results 231 to 240 of about 779,573 (302)

Relapses, Comorbidities, and Predictors of Outcome in Anti‐GABAA Receptor Encephalitis

open access: yesAnnals of Neurology, EarlyView.
Objectives To characterize the magnetic resonance imaging (MRI) lesion dynamics, comorbidities, predictors of relapse, and outcomes in anti‐γ‐aminobutyric acid type A receptor (GABAAR) encephalitis, and assess the utility of LIM‐domain‐only‐protein 5 (LMO5) antibodies as tumor markers.
Claudia Papi   +33 more
wiley   +1 more source

Longitudinal Phenotypic Trajectories in GNAO1‐Related Disorders: Defining Disease Progression and Clinical Profiles

open access: yesAnnals of Neurology, EarlyView.
Objective Pathogenic variants in GNAO1 cause a spectrum of epilepsy, movement disorders, and developmental impairment. Clinical heterogeneity complicates prognosis and therapeutic development. We present the first longitudinal natural history study of GNAO1‐related disorders (GNAO1‐RD) to delineate phenotypic trajectories. Methods Sixty‐six individuals
Jana Domínguez‐Carral   +52 more
wiley   +1 more source

Correction: Uncovering drug targets for cluster headache through proteome-wide Mendelian randomization analysis

open access: yesThe Journal of Headache and Pain
Zhonghua Xiong   +12 more
doaj   +1 more source

Hyperreflective Foci in the Inner Nuclear Layer: Proof‐of‐Concept for an Optical Coherence Tomography Derived Microglia‐Related Marker in Multiple Sclerosis

open access: yesAnnals of Neurology, EarlyView.
The role of microglia has emerged as a critical driver of disease progression in multiple sclerosis (MS), but we lack broadly applicable monitoring tools. Here, we investigated whether hyperreflective foci (HRF), as detected by optical coherence tomography (OCT) within the inner nuclear layer (INL) of the retina, can be used as a marker for microglial ...
Jonathan A. Gernert   +13 more
wiley   +1 more source

Use of Machine Learning to Identify Markers of Risk for Fragile X‐Associated Tremor/Ataxia Syndrome: A Preliminary Analysis

open access: yesAnnals of Neurology, EarlyView.
Objective The objective of this study was to examine whether machine learning has the capacity to prospectively identify and predict the emergence of Fragile X‐associated tremor/ataxia syndrome (FXTAS) among male fragile X premutation carriers (PCs). Methods We explored neuropsychological and motor evaluation metrics, brain magnetic resonance imaging ...
Chitrabhanu Gupta   +10 more
wiley   +1 more source

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