Results 131 to 140 of about 96,106 (310)

Exploring if Longitudinal Changes on PET Imaging Can Serve as a Biomarker for Stiff Person Syndrome Spectrum Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify metabolic patterns in the brain and musculoskeletal system of stiff person syndrome spectrum disorders (SPSD) patients over time using PET imaging and evaluate the impact of immune therapy on metabolic activity as a surrogate for treatment response.
Munther M. Queisi   +4 more
wiley   +1 more source

Central Dysmyelination in SSADH‐Deficient Humans and Mice

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Succinic semialdehyde dehydrogenase deficiency (SSADHD) is an inherited metabolic disorder characterized by an accumulation of γ‐aminobutyric (GABA). In addition to its synaptic role as an inhibitory neurotransmitter, GABA also plays an important role in myelination.
Itay Tokatly Latzer   +11 more
wiley   +1 more source

Translating a Preclinically Tested 15 Hz rTMS Protocol to Humans With Chronic Spinal Cord Injury: A Safety and Feasibility Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Repetitive transcranial magnetic stimulation (rTMS) is a non‐invasive brain stimulation strategy with a demonstrated potential to reinforce the residual pathways after a spinal cord injury (SCI). A preclinically tested high‐frequency (15 Hz) rTMS (15 Hz rTMS) protocol was shown to induce corticospinal tract axon regeneration growth ...
Nabila Brihmat   +8 more
wiley   +1 more source

Effective Field Theory

open access: yes, 1998
106 pages, 20 figures. Lectures at the 1997 Les Houches Summer School "Probing the Standard Model of Particle Interactions"
openaire   +2 more sources

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

The potential of effective field theory in NN scattering [PDF]

open access: green, 1998
Silas R. Beane   +2 more
openalex   +1 more source

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