Seizure prediction—ready for a new era

L Kuhlmann, K Lehnertz, MP Richardson… - Nature Reviews …, 2018 - nature.com
Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …

Seizure prediction: the long and winding road

F Mormann, RG Andrzejak, CE Elger, K Lehnertz - Brain, 2007 - academic.oup.com
The sudden and apparently unpredictable nature of seizures is one of the most disabling
aspects of the disease epilepsy. A method capable of predicting the occurrence of seizures …

State-of-the-art of seizure prediction

K Lehnertz, F Mormann, H Osterhage… - Journal of Clinical …, 2007 - journals.lww.com
Although there are numerous studies exploring basic neuronal mechanisms that are likely to
be associated with seizures, to date no definite information is available as to how, when, or …

Seizure prediction: methods

PR Carney, S Myers, JD Geyer - Epilepsy & behavior, 2011 - Elsevier
Epilepsy, one of the most common neurological diseases, affects over 50 million people
worldwide. Epilepsy can have a broad spectrum of debilitating medical and social …

The seizure prediction characteristic: a general framework to assess and compare seizure prediction methods

M Winterhalder, T Maiwald, HU Voss… - Epilepsy & Behavior, 2003 - Elsevier
The unpredictability of seizures is a central problem for all patients suffering from
uncontrolled epilepsy. Recently, numerous methods have been suggested that claim to …

The first international collaborative workshop on seizure prediction: summary and data description

K Lehnertz, B Litt - Clinical neurophysiology, 2005 - Elsevier
The First International Collaborative Workshop on Seizure Prediction was held at the
Department of Epileptology, University of Bonn, in Bonn, Germany on April 24–28, 2002 …

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 …

Joining the benefits: combining epileptic seizure prediction methods

H Feldwisch‐Drentrup, B Schelter, M Jachan… - …, 2010 - Wiley Online Library
Purpose: In recent years, a variety of methods developed in the field of linear and nonlinear
time series analysis have been used to obtain reliable predictions of epileptic seizures …

A forward-looking review of seizure prediction

DR Freestone, PJ Karoly, MJ Cook - Current opinion in neurology, 2017 - journals.lww.com
We conclude the review with an exercise in wishful thinking, which asks what the ideal
seizure prediction dataset would look like and how these data should be manipulated to …

Seizure prediction for therapeutic devices: A review

K Gadhoumi, JM Lina, F Mormann, J Gotman - Journal of neuroscience …, 2016 - Elsevier
Research in seizure prediction has come a long way since its debut almost 4 decades ago.
Early studies suffered methodological caveats leading to overoptimistic results and lack of …