Results 181 to 190 of about 597,262 (308)

A Novel CHMP2B Splicing Variant in Atypical Presentation of Familial Frontotemporal Lobar Degeneration

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT C‐truncating variants in the charged multivesicular body protein 2B (CHMP2B) gene are a rare cause of frontotemporal lobar degeneration (FTLD), previously identified only in Denmark, Belgium, and China. We report a novel CHMP2B splice‐site variant (c.35‐1G>A) associated with familial FTLD in Spain. The cases were two monozygotic male twins who
Sara Rubio‐Guerra   +17 more
wiley   +1 more source

The Impact of In‐Hospital Disease Modifying Treatments on Mental and Physical Burden in Caregiver of Patients With MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with multiple sclerosis (pwMS) may require a high level of daily assistance both for indoor and outdoor activities. Usually, relatives or friends provide daily support to MS patients who have lost personal autonomy. Several factors such as disability level and disease duration may affect the burden of care in caregivers of ...
Giuseppe Schirò   +9 more
wiley   +1 more source

Phase 1, First‐In‐Human, Single‐/Multiple‐Ascending Dose Study of Iluzanebart in Healthy Volunteers

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the safety, tolerability, pharmacokinetics, and pharmacodynamics of iluzanebart, a fully human monoclonal antibody TREM2 (triggering receptor expressed on myeloid cells 2) agonist, after single‐ (SAD) and multiple‐ascending‐dose (MAD) administration.
Andreas Meier   +8 more
wiley   +1 more source

Correspondence of MRI and nTMS With EDSS in Multiple Sclerosis: Longitudinal Follow‐Up Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Considering the characteristics of multiple sclerosis (MS) disease and its impact on motor disability, this study aims to assess the functional integrity of the corticospinal tract by examining motor evoked potentials (MEPs), Expanded Disability Status Scale (EDSS) scores, magnetic resonance imaging (MRI) lesion counts, and ...
Antonia Bralić   +13 more
wiley   +1 more source

EEG Spectral Exponents and Visual Chirp Responses Mirror Anti‐Seizure Medication Load in Refractory Focal Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Quantitative markers of cortical excitability may help identify responders to anti‐seizure medications (ASMs). We studied the relationship between ASM load and two electroencephalography (EEG) markers of cortical excitability in people with refractory epilepsy. Methods We included individuals with refractory focal epilepsy undergoing
Silvano R. Gefferie   +7 more
wiley   +1 more source

Patient Perceptions of Medication Therapy for Prevention of Posttraumatic Osteoarthritis Following Anterior Cruciate Ligament Injury: A Qualitative Content Analysis

open access: yesArthritis Care &Research, EarlyView.
Objective Posttraumatic osteoarthritis (PTOA) accounts for nearly 12% of osteoarthritis incidences and often occurs after anterior cruciate ligament (ACL) tear. Ensuring the uptake of preventive treatments for PTOA requires that investigators and clinicians understand factors influencing patients to seek preventive therapies.
Lily M. Waddell   +10 more
wiley   +1 more source

The Longitudinal Relationship Between Pain and Depression in People with Inflammatory Arthritis: a Narrative Review

open access: yesArthritis Care &Research, Accepted Article.
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Co‐morbid depression is prevalent in adults with IA, affecting 15 to 39% of people. Whilst pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox   +3 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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