Results 141 to 150 of about 65,094 (251)

Corticocortical evoked potential amplitude is altered by cortical stimulation in epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective Neurostimulation is an established therapy for drug‐resistant epilepsy, but optimizing stimulation parameters remains a major challenge. Corticocortical evoked potential (CCEP) amplitude may serve as an immediate biomarker of neurostimulation effects, enabling rapid parameter optimization.
Bethany J. Stieve   +4 more
wiley   +1 more source

Evaluating the task‐specificity model of verbal memory: Regional volumetric analyses in temporal lobe epilepsy with hippocampal sclerosis

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Verbal memory tasks differ in their cognitive demands and may rely on distinct left medial temporal structures. One model holds that verbal delayed recall is hippocampal dependent, whereas verbal paired associate learning relies on adjacent rhinal cortex.
Andy Sitoh   +7 more
wiley   +1 more source

A hierarchical Bayesian brain parcellation framework for fusion of functional imaging datasets. [PDF]

open access: yesImaging Neurosci (Camb)
Zhi D   +5 more
europepmc   +1 more source

Effectiveness and safety of implantable vagus nerve stimulation in people with primary generalized tonic–clonic seizures

open access: yesEpilepsia Open, EarlyView.
The impact of prompt diagnosis and treatment, and early predictors of outcome severity in this cohort. Abstract Objective Most therapies for drug‐resistant epilepsy (DRE) focus on focal‐onset seizures, the most common seizure types. Studying primary generalized tonic–clonic seizures (PGTCS) is more challenging due to diagnostic and recruitment ...
Katherine Eggleston   +6 more
wiley   +1 more source

An Investigation of Key Symptoms That Account for the Early Response Effect During Psychological Therapy for Eating Disorders

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective The early response effect, defined as a reliable symptomatic improvement during the initial phase of treatment, is the most robust predictor of recovery following eating disorder treatment. This study aimed to investigate which symptom domains mostly influence the early response effect. Methods Data from N = 232 adult patients (90.8%
Ammara Imtiaz   +3 more
wiley   +1 more source

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. [PDF]

open access: yesMed Image Comput Comput Assist Interv, 2019
Dalca AV   +5 more
europepmc   +1 more source

Research on Deformation Prediction of Small Interval Tunnel Based on Machine Learning and Numerical Simulation

open access: yesEnergy Science &Engineering, EarlyView.
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai   +7 more
wiley   +1 more source

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