Results 151 to 160 of about 390,159 (364)

Remaining Burden of Spinal Muscular Atrophy Among Treated Patients: A Survey of Patients and Caregivers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinal muscular atrophy (SMA) significantly impacts motor function. This study aimed to assess the persistent burden and unmet needs among currently treated patients with SMA and their caregivers. Methods Two complementary web‐based surveys were distributed in August 2024 among patients with SMA and their caregivers.
Julie A. Parsons, Natalie Land, Melissa Culhane Maravic, Claire Cagle, Amal Jamaleddine, Hemal Shah, Thomas Brown, Christabella Cherubino, Mouhamed Gueye   +8 more
wiley   +1 more source

Stasimon Contributes to the Loss of Sensory Synapses and Motor Neuron Death in a Mouse Model of Spinal Muscular Atrophy

Cell Reports, 2019
Summary: Reduced expression of the survival motor neuron (SMN) protein causes the neurodegenerative disease spinal muscular atrophy (SMA). Here, we show that adeno-associated virus serotype 9 (AAV9)-mediated delivery of Stasimon—a gene encoding an ...
Christian M. Simon, Meaghan Van Alstyne, Francesco Lotti, Elena Bianchetti, Sarah Tisdale, D. Martin Watterson, George Z. Mentis, Livio Pellizzoni   +7 more
doaj  

A dominantly inherited lower motor neuron disorder presenting at birth with associated arthrogryposis. [PDF]

, 1985
P Fleury, G. Hageman
openalex   +1 more source

Cognitive Resilience in Apolipoprotein ε4 Carrier Women Predicted by Neuron‐Derived Extracellular Vesicles

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The Apolipoprotein (APOE) ε4 allele is the strongest genetic risk factor for late‐onset Alzheimer's disease (AD); however, many ε4 carriers remain cognitively intact into old age. Leveraging plasma neuron‐derived extracellular vesicles (NDEVs), we sought to identify biomarkers of cognitive resilience and their interplay with APOE ...
Apostolos Manolopoulos, Maja Mustapic, Carlos Nogueras‐Ortiz, Francheska Delgado‐Peraza, Krishna A. Pucha, Pamela J. Yao, Joseph Blommer, Michael P. Vreones, William York, De' Larrian Knight, Stephen R. Rapp, Aladdin H. Shadyab, JoAnn E. Manson, Ramon Casanova, Robert B. Wallace, Luigi Ferrucci, Susan M. Resnick, Dimitrios Kapogiannis   +17 more
wiley   +1 more source

Motor Neuron Induction and Differentiation

, 2019
This protocol describes how to: • Generate motor neural progenitor cells (MNPCs) • Generate motor neurons from MNPCs Version 2.0 now available.
Thomas M. Durcan, Trisha Rao, Xiuqing Chen, Cecilia Rocha   +3 more
openaire   +4 more sources

Associations of Stroke With Risk of Epilepsy: Results From the Atherosclerosis Risk in Communities (ARIC) Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To estimate the risk of epilepsy associated with stroke in a community‐based cohort, with consideration of stroke type, number, and severity. Methods Data from 15,100 Atherosclerosis Risk in Communities (ARIC) Study participants without stroke at baseline (1987–1989) were analyzed through 12/31/2022.
Jiping Zhou, Asma A. Ladak, Connor A. Law, Michelle C. Johansen, Anny Reyes, Silvia Koton, Sean Kelly, Jeubin Huang, Kamakshi Lakshminarayan, Rebecca F. Gottesman, Emily Johnson, Andrea L. C. Schneider   +11 more
wiley   +1 more source

Morbidity and mortality in motor neuron disease: comparison with multiple sclerosis and Parkinson's disease: age and sex specific rates and cohort analyses. [PDF]

, 1985
T M Li, Michael Swash, Eva Alberman
openalex   +1 more source

TOPOGRAPHIC RELATIONSHIP BETWEEN THE RECEPTIVE FIELDS OF NEURONS IN THE MOTOR CORTEX AND THE MOVEMENTS ELICITED BY FOCAL STIMULATION IN FREELY MOVING CATS

, 1968
Hideo Sakata, Julio Miyamoto
openalex   +2 more sources

Elevated cerebrospinal fluid vasopressin in motor neuron disease. [PDF]

, 1987
Jonathan R. Seckl, Stafford L. Lightman, R J Guiloff   +2 more
openalex   +1 more source

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

International 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, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source