Results 231 to 240 of about 12,190 (300)

Intracranial electroencephalographic connectivity analysis to localize epileptogenic networks: Systematic review and meta‐analysis from ILAE Epilepsy Surgery Networks Task Force

open access: yesEpilepsia, EarlyView.
Abstract Intracranial electroencephalographic (iEEG) connectivity analysis is a promising method to localize epileptic networks and guide surgical planning in focal drug‐resistant epilepsy. Despite numerous studies exploring its utility, the added value of iEEG connectivity over standard clinical presurgical evaluation remains unclear.
Nishant Sinha   +15 more
wiley   +1 more source

Molecular Targets for Intracranial Aneurysm Treatment. [PDF]

open access: yesInt J Mol Sci
Hutchinson H   +4 more
europepmc   +1 more source

Sleep magnetoencephalography enhances detection and source imaging of seizures and fast oscillations in focal cortical dysplasia

open access: yesEpilepsia, EarlyView.
Abstract Objective Focal cortical dysplasia (FCD) causes drug‐resistant epilepsy requiring presurgical evaluation. Invasive electroencephalographic (EEG) studies demonstrate that sleep modulates epileptic activity, including interictal epileptiform discharges (IEDs), fast oscillations (FOs) in the beta (14–40 Hz) and gamma (40–80 Hz) frequency bands ...
Marcel Heers   +13 more
wiley   +1 more source

Cardiac remodeling and arrhythmia in a mouse model of Depdc5 haploinsufficiency

open access: yesEpilepsia, EarlyView.
Abstract Objective Some ion channel genes linked to developmental and epileptic encephalopathy (DEE) are also linked to cardiac arrhythmia, leading to the hypothesis that predisposition to cardiac arrhythmias may contribute to the complex disease presentation of DEE and possibly to the mechanism of sudden unexpected death in epilepsy.
Roberto Ramos‐Mondragon   +9 more
wiley   +1 more source

Use of artificial intelligence in magnetic resonance imaging across the epileptic patient's journey: A meta‐analysis of four clinical applications

open access: yesEpilepsia, EarlyView.
Abstract Objective The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance imaging (MRI) promises to enhance and support clinical decision‐making in epilepsy. However, there currently lacks an appropriate assessment of clinical utility and study rigor of current AI/ML‐driven models that are targeted toward supporting ...
Judy Chen   +13 more
wiley   +1 more source

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