Neuromodulation in epilepsy: state-of-the-art approved therapies
Three neuromodulation therapies have been appropriately tested and approved in refractory
focal epilepsies: vagus nerve stimulation (VNS), deep brain stimulation of the anterior …
focal epilepsies: vagus nerve stimulation (VNS), deep brain stimulation of the anterior …
Cycles in epilepsy
Epilepsy is among the most dynamic disorders in neurology. A canonical view holds that
seizures, the characteristic sign of epilepsy, occur at random, but, for centuries, humans …
seizures, the characteristic sign of epilepsy, occur at random, but, for centuries, humans …
Nine-year prospective efficacy and safety of brain-responsive neurostimulation for focal epilepsy
DR Nair, KD Laxer, PB Weber, AM Murro, YD Park… - Neurology, 2020 - AAN Enterprises
Objective To prospectively evaluate safety and efficacy of brain-responsive neurostimulation
in adults with medically intractable focal onset seizures (FOS) over 9 years. Methods Adults …
in adults with medically intractable focal onset seizures (FOS) over 9 years. Methods Adults …
[HTML][HTML] Seizure diaries and forecasting with wearables: epilepsy monitoring outside the clinic
It is a major challenge in clinical epilepsy to diagnose and treat a disease characterized by
infrequent seizures based on patient or caregiver reports and limited duration clinical …
infrequent seizures based on patient or caregiver reports and limited duration clinical …
Seizure cycles in focal epilepsy
Importance Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our
knowledge, the prevalence and patterns of seizure cycles are unknown. Objective To …
knowledge, the prevalence and patterns of seizure cycles are unknown. Objective To …
A new era in electroencephalographic monitoring? Subscalp devices for ultra–long‐term recordings
J Duun‐Henriksen, M Baud, MP Richardson… - …, 2020 - Wiley Online Library
Inaccurate subjective seizure counting poses treatment and diagnostic challenges and thus
suboptimal quality in epilepsy management. The limitations of existing hospital‐and home …
suboptimal quality in epilepsy management. The limitations of existing hospital‐and home …
Machine learning and wearable devices of the future
Abstract Machine learning (ML) is increasingly recognized as a useful tool in healthcare
applications, including epilepsy. One of the most important applications of ML in epilepsy is …
applications, including epilepsy. One of the most important applications of ML in epilepsy is …
Seizure prediction in scalp EEG using 3D convolutional neural networks with an image-based approach
Epileptic seizures occur as a result of a process that develops over time and space in
epileptic networks. In this study, we aim at developing a generalizable method for patient …
epileptic networks. In this study, we aim at developing a generalizable method for patient …
Seizure forecasting and cyclic control of seizures
Epilepsy is a unique neurologic condition characterized by recurrent seizures, where
causes, underlying biomarkers, triggers, and patterns differ across individuals. The …
causes, underlying biomarkers, triggers, and patterns differ across individuals. The …
Machine learning from wristband sensor data for wearable, noninvasive seizure forecasting
C Meisel, R El Atrache, M Jackson, S Schubach… - …, 2020 - Wiley Online Library
Objective Seizure forecasting may provide patients with timely warnings to adapt their daily
activities and help clinicians deliver more objective, personalized treatments. Although …
activities and help clinicians deliver more objective, personalized treatments. Although …