Neuromodulation in epilepsy: state-of-the-art approved therapies

P Ryvlin, S Rheims, LJ Hirsch, A Sokolov… - The Lancet …, 2021 - thelancet.com
Three neuromodulation therapies have been appropriately tested and approved in refractory
focal epilepsies: vagus nerve stimulation (VNS), deep brain stimulation of the anterior …

Cycles in epilepsy

PJ Karoly, VR Rao, NM Gregg, GA Worrell… - Nature Reviews …, 2021 - nature.com
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 …

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 …

[HTML][HTML] Seizure diaries and forecasting with wearables: epilepsy monitoring outside the clinic

BH Brinkmann, PJ Karoly, ES Nurse… - Frontiers in …, 2021 - frontiersin.org
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 …

Seizure cycles in focal epilepsy

MG Leguia, RG Andrzejak, C Rummel, JM Fan… - JAMA …, 2021 - jamanetwork.com
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 …

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 …

Machine learning and wearable devices of the future

S Beniczky, P Karoly, E Nurse, P Ryvlin, M Cook - Epilepsia, 2021 - Wiley Online Library
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 …

Seizure prediction in scalp EEG using 3D convolutional neural networks with an image-based approach

AR Ozcan, S Erturk - IEEE Transactions on Neural Systems and …, 2019 - ieeexplore.ieee.org
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 …

Seizure forecasting and cyclic control of seizures

RE Stirling, MJ Cook, DB Grayden, PJ Karoly - Epilepsia, 2021 - Wiley Online Library
Epilepsy is a unique neurologic condition characterized by recurrent seizures, where
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 …