Results 281 to 290 of about 874,261 (376)
Neural traces of composite tasks in complex task representation in the human brain reflects learning performance. [PDF]
Lee WT, Hazeltine E, Jiang J.
europepmc +1 more source
Abstract Objective In epilepsy, daily treatment provides only symptomatic seizure control, leaving a significant unmet need for a treatment that affects the underlying predisposition to seizures. Here, in a first‐of‐its‐kind study, we test the hypothesis that intermittent treatment of seizure clusters with diazepam in the kainic acid post‐status ...
Qian Wu +8 more
wiley +1 more source
Multi-scale EEG feature decoding with Swin Transformers for subject independent motor imagery BCIs. [PDF]
Qamar WUR, Abibullaev B.
europepmc +1 more source
Abstract Objective Thalamic responsive neurostimulation (RNS) is a surgical option for patients with drug‐refractory epilepsy. However, it is unclear whether thalamic connectivity with the seizure onset zone (SOZ) has a role in clinical outcomes. Here, we aim to investigate the clinical utility of the connectivity between the SOZ and the thalamus for ...
Varun R. Subramaniam +12 more
wiley +1 more source
Validation of Neuphony 8-channel EEG flex cap: a comparative study with BioSemi 64-channel EEG system. [PDF]
Rani A, Singh A, Mishra S.
europepmc +1 more source
From Bedside to Desktop: A Data Protocol for Normative Intracranial EEG and Abnormality Mapping
Woodhouse H +7 more
openalex
Cardiorespiratory cross‐frequency coupling biomarker for sudden unexpected death in epilepsy
Abstract Objective Sudden unexpected death in epilepsy (SUDEP) often follows generalized tonic–clonic seizures during sleep, likely resulting from impaired brainstem cardiorespiratory function. We used ictal electrocardiogram (ECG)‐based cross‐frequency phase–amplitude coupling (PAC) to detect cardiorespiratory disruptions, comparing SUDEP to non‐SUDEP
Adam C. Gravitis +7 more
wiley +1 more source
A systematic review of EEG-based biomarkers for depression, anxiety, and bipolar disorder: trends in explainable artificial intelligence (XAI). [PDF]
Zhai L +5 more
europepmc +1 more source
Abstract The artificial intelligence (AI) revolution is upon us. It will inevitably form a central component of epilepsy workflows and patient advocacy. Therefore, it behooves us as health care providers to ride the crest of this wave and guide its direction for the benefit of all people with epilepsy.
Colin B. Josephson +13 more
wiley +1 more source

