Results 291 to 300 of about 3,493,044 (354)
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
Making sense: Determining the parameter space of electrical brain stimulation. [PDF]
Murphey DK.
europepmc +1 more source
ABSTRACT Objective Increasing evidence shows that patients with intracerebral hemorrhage (ICH) can achieve better‐than‐expected outcomes with aggressive therapy. However, real‐world long‐term data, patient‐centered outcomes, and societal measures after maximal ICH treatment are lacking.
Anne Mrochen+11 more
wiley +1 more source
Acoustic omni meta-atom for decoupled access to all octants of a wave parameter space. [PDF]
Koo S, Cho C, Jeong JH, Park N.
europepmc +1 more source
Histone Deacetylase 6 Brain PET in Amyotrophic Lateral Sclerosis‐Frontotemporal Spectrum Disorder
ABSTRACT Objective [18F]EKZ‐001 is a positron emission tomography (PET) tracer targeting histone deacetylase 6 (HDAC6), an enzyme responsible for intracellular transport and clearance of misfolded proteins. HDAC6 modulation is a promising treatment strategy in neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS).
Greet Vanderlinden+15 more
wiley +1 more source
Mapping the Parameter Space of tDCS and Cognitive Control via Manipulation of Current Polarity and Intensity. [PDF]
Karuza EA+5 more
europepmc +1 more source
Application of separable parameter space techniques to multi-tracer PET compartment modeling. [PDF]
Zhang JL, Michael Morey A, Kadrmas DJ.
europepmc +1 more source
Mapping of Frequency Response Performance Specifications Into Parameter Space
Dirk Odenthal, Paul Blue
openalex +1 more source
A basic bifurcation structure from bursting to spiking of injured nerve fibers in a two-dimensional parameter space. [PDF]
Jia B, Gu H, Xue L.
europepmc +1 more source
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