Results 171 to 180 of about 184,452 (241)

Development and validation of a deep survival model to predict time to seizure from routine electroencephalography

open access: yesEpilepsia, EarlyView.
Abstract Objective This study was undertaken to develop and validate a deep survival model (EEGSurvNet) that analyzes routine electroencephalography (EEG) to predict individual seizure risk over time, comparing its performance to traditional clinical predictors such as interictal epileptiform discharges (IEDs).
Émile Lemoine   +5 more
wiley   +1 more source

Spectral entropy variability of intraoperative electrocorticography predicts outcome after epilepsy surgery in people with focal cortical dysplasia

open access: yesEpilepsia, EarlyView.
Abstract Objective Epilepsy surgery in people with focal cortical dysplasia (FCD) requires accurate removal of all epileptogenic tissue, and outcome is difficult to predict. We explored whether spectral entropy, a fast computable electroencephalographic (EEG) feature, could estimate epileptic activity in intraoperative electrocorticography (ioECoG) and
Eline V. Schaft   +53 more
wiley   +1 more source

From surface to depth: Using deep learning to predict striatal fMRI reward signaling from EEG. [PDF]

open access: yesImaging Neurosci (Camb)
Herzog N   +7 more
europepmc   +1 more source

Functionality of symptoms and interpersonal communication in home video recordings of functional/dissociative versus epileptic seizures

open access: yesEpilepsia, EarlyView.
Abstract Objective Conceptualizing functional/dissociative seizures (FDS) as resulting from dissociation, or conversion, we hypothesized that, compared to epileptic seizures (ES), FDS should carry more symbolic or communicative content and that this would allow observers to distinguish FDS from ES.
Nayrin Dissouky   +8 more
wiley   +1 more source

Spatial transcriptomics in epilepsy research: Early successes, opportunities, and challenges

open access: yes
Epilepsia, EarlyView.
Donald J. Phillips   +4 more
wiley   +1 more source

Depressive symptoms as independent correlates of epilepsy‐related cognitive burden

open access: yesEpilepsia, EarlyView.
Abstract Objective This study was undertaken to assess the relationship between the severity of depression and anxiety symptoms and epilepsy‐related variables and cognitive burden in people with epilepsy (PwE), as assessed using EpiTrack. Methods We prospectively enrolled a cohort of PwE who underwent EpiTrack and evaluation by Generalized Anxiety ...
Biagio Maria Sancetta   +10 more
wiley   +1 more source

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