Results 91 to 100 of about 182,579 (322)

The Role of Electroencephalography in Predicting Post‐Stroke Seizures and an Updated Prognostic Model (SeLECT‐EEG)

open access: yesAnnals of Neurology, EarlyView.
Objective Seizures negatively impact stroke outcomes, highlighting the need for reliable predictors of post‐stroke epilepsy. Although acute symptomatic seizures are a known risk factor, most stroke survivors who develop epilepsy do not experience them.
Kai Michael Schubert   +12 more
wiley   +1 more source

Mapping Postictal Aphasia through Signal Complexity: A Stereo‐Electroencephalography Study

open access: yesAnnals of Neurology, EarlyView.
Objective The postictal period provides an opportunity to investigate the pathophysiology underlying aphasia and recovery following epileptic seizures. This study examines postictal aphasia in stereo‐electroencephalography (SEEG)‐explored patients to identify brain regions associated with task‐specific language deficits using signal complexity analysis.
Ionuț‐Flavius Bratu   +6 more
wiley   +1 more source

Anterior Versus Posterior Insular Epilepsy: Correlations with Semiology Based on Stereoelectroencephalography

open access: yesAnnals of Neurology, EarlyView.
Objective To characterize insular seizure semiology and correlate with stereoelectroencephalography (SEEG) seizure onset in a well‐defined cohort, in particular examining differences between anterior and posterior insular seizures. Methods We documented all semiological signs and the timing of emergence for 45 patients with SEEG‐confirmed insular ...
Jason Chisholm   +7 more
wiley   +1 more source

A Hidden Markov Factor Analysis Framework for Seizure Detection in Epilepsy Patients [PDF]

open access: yes, 2019
Approximately 1% of the world population suffers from epilepsy. Continuous long-term electroencephalographic (EEG) monitoring is the gold-standard for recording epileptic seizures and assisting in the diagnosis and treatment of patients with epilepsy ...
Madadi, Mahboubeh
core   +2 more sources

An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach

open access: yes, 2018
Epilepsy is a neurological disorder and for its detection, encephalography (EEG) is a commonly used clinical approach. Manual inspection of EEG brain signals is a time-consuming and laborious process, which puts heavy burden on neurologists and affects ...
Aboalsamh, Hatim   +3 more
core   +1 more source

Biallelic Truncating Variants in SCN3B Encoding Nav Channel Subunit β3 Lead to Neurodevelopmental Phenotype with and without Epilepsy and Ataxia

open access: yesAnnals of Neurology, EarlyView.
SCN3B encodes the β3 auxiliary subunit, essential for voltage‐gated Na+ (Nav) channel trafficking and gating. Although SCN3B has been associated with cardiac disorders, a link with neurodevelopmental disorders (NDD) has not been established. Using a genotype‐first approach, we identified homozygous truncating variants (c.281G>A‐β3W94*, c.584 + 1G>A ...
Nathan Routledge   +11 more
wiley   +1 more source

Statistical mechanics of neocortical interactions: EEG eigenfunctions of short-term memory

open access: yes, 1999
This paper focuses on how bottom-up neocortical models can be developed into eigenfunction expansions of probability distributions appropriate to describe short-term memory in the context of scalp EEG. The mathematics of eigenfunctions are similar to the
Ingber, Lester
core  

Podcasts in health education—Insights from a scoping review and survey

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Podcasts have rapidly emerged as a powerful tool for health communication, especially since the COVID‐19 pandemic. While evidence shows that podcasts can enhance student knowledge, confidence, and flexibility in learning, their educational impact is primarily studied within formal academic contexts.
Matthew J. Barton   +2 more
wiley   +1 more source

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