Results 91 to 100 of about 27,373 (252)

Programming of deep brain stimulation of the centromedian nucleus of the thalamus for drug‐resistant epilepsy: A meta‐analysis and proposed programming framework

open access: yesEpilepsia, EarlyView.
Abstract Objective Although the centromedian nucleus of the thalamus (CM) is an increasingly considered deep brain stimulation (DBS) target for drug‐resistant epilepsy (DRE), there is significant variability in programming practices, which may contribute to heterogenous outcomes.
Mohammed A. AlQahtani   +7 more
wiley   +1 more source

Moving beyond spike detection: High frequency‐driven masking improves seizure onset zone localization in intracranial electroencephalography

open access: yesEpilepsia, EarlyView.
Abstract Objective Interictal epileptiform spikes (IESs) are widely used biomarkers of epileptogenic tissue in presurgical epilepsy evaluation. However, their reliability for seizure onset zone (SOZ) localization in high‐density intracranial electroencephalography (iEEG) remains inconsistent.
Amir Hossein Ayyoubi   +16 more
wiley   +1 more source

Spike detection in the wild: Screening of suspected temporal lobe epilepsy cases using a tailored 2‐channel wearable EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Objective To clinically validate the contribution of a custom‐built EEG wearable device (waEEG) compared to a full 10–20 electrode array ambulatory EEG (aEEG) for screening epilepsy cases in patients with suspected temporal lobe epilepsy (TLE) but negative routine EEGs. Methods Patients (aged 16–91 years) with clinically suspected TLE who were
Daniel Filipe Borges   +4 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

Prenatal betamethasone–postnatal N‐methyl‐D‐aspartic acid model of spasms: Update on mechanisms and treatments

open access: yesEpilepsia Open, EarlyView.
Abstract Infantile epilepsy spasms syndrome (IESS), formerly known as infantile spasms or West Syndrome, is a severe epilepsy syndrome affecting about 3 in 10,000 newborns in the United States. Characterized by clusters of epileptic spasms, interictal hypsarrhythmia, and developmental delays, IESS has diverse causes, including structural‐metabolic ...
Kayla Vieira   +5 more
wiley   +1 more source

Detection of interictal epileptiform discharges using multiple bilateral insertions of a newly developed microcatheter‐compatible endovascular electroencephalogram electrode: A clinical feasibility trial

open access: yesEpilepsia Open, EarlyView.
Abstract Objective To assess the feasibility, technical performance, and safety of a novel endovascular electroencephalogram (eEEG) electrode, EP‐01, designed for minimally invasive seizure localization in patients with drug‐resistant epilepsy. Methods This single‐center, prospective, exploratory trial enrolled five patients with drug‐resistant ...
Kota Araki   +9 more
wiley   +1 more source

How to report neurotechnology and artificial intelligence studies in epilepsy: Peer‐review‐inspired recommendations

open access: yesEpilepsia Open, EarlyView.
Abstract Objective The integration of neurotechnology and artificial intelligence (AI) in epilepsy research has led to significant advancements in diagnosis, monitoring, and treatment. However, the impact of these innovations is often diminished by inadequate and inaccurate reporting, limiting their reproducibility and implementation.
Pedro F. Viana   +6 more
wiley   +1 more source

EEG CONNECT: A proposed reporting checklist for EEG‐based connectivity studies in clinical epilepsy research

open access: yesEpilepsia Open, EarlyView.
Abstract EEG‐based connectivity analysis has emerged as a promising approach for investigating brain network dynamics in clinical epilepsy research. However, the diversity of analytical approaches, preprocessing pipelines, and reporting practices poses challenges to reproducibility and clinical translation.
Naoto Kuroda   +6 more
wiley   +1 more source

Visitor‐I and dual worldmaking: Queer museology between Tuntenhaus and the Schwules Museum

open access: yesFeminist Anthropology, EarlyView.
Abstract This article develops the visitor‐I as an embodied protocol for analyzing how queer archival exhibitions choreograph perception, affect, and learning, and it uses dual worldmaking as a bounded heuristic to name the relation between lived worldmaking in the Tuntenhaus squat and curatorial worldmaking in the museum, and I argue that the visitor ...
Melike Atmanoğlu
wiley   +1 more source

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