[HTML][HTML] Critical slowing down as a biomarker for seizure susceptibility

MI Maturana, C Meisel, K Dell, PJ Karoly… - Nature …, 2020 - nature.com
The human brain has the capacity to rapidly change state, and in epilepsy these state
changes can be catastrophic, resulting in loss of consciousness, injury and even death …

Managing drug-resistant epilepsy: challenges and solutions

L Dalic, MJ Cook - Neuropsychiatric disease and treatment, 2016 - Taylor & Francis
Despite the development of new antiepileptic drugs (AEDs),~ 20%–30% of people with
epilepsy remain refractory to treatment and are said to have drug-resistant epilepsy (DRE) …

Circadian and circaseptan rhythms in human epilepsy: a retrospective cohort study

PJ Karoly, DM Goldenholz, DR Freestone… - The Lancet …, 2018 - thelancet.com
Background Epilepsy has long been suspected to be governed by cyclic rhythms, with
seizure rates rising and falling periodically over weeks, months, or even years. The very long …

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 …

The circadian profile of epilepsy improves seizure forecasting

PJ Karoly, H Ung, DB Grayden, L Kuhlmann, K Leyde… - Brain, 2017 - academic.oup.com
It is now established that epilepsy is characterized by periodic dynamics that increase
seizure likelihood at certain times of day, and which are highly patient-specific. However …

Quantitative approaches to guide epilepsy surgery from intracranial EEG

JM Bernabei, A Li, AY Revell, RJ Smith… - Brain, 2023 - academic.oup.com
Over the past 10 years, the drive to improve outcomes from epilepsy surgery has stimulated
widespread interest in methods to quantitatively guide epilepsy surgery from intracranial …

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 …

Noninvasive mobile EEG as a tool for seizure monitoring and management: A systematic review

A Biondi, V Santoro, PF Viana, P Laiou, DK Pal… - …, 2022 - Wiley Online Library
In the last two decades new noninvasive mobile electroencephalography (EEG) solutions
have been developed to overcome limitations of conventional clinical EEG and to improve …

Early prediction of epileptic seizures using a long-term recurrent convolutional network

X Wei, L Zhou, Z Zhang, Z Chen, Y Zhou - Journal of neuroscience …, 2019 - Elsevier
Background A seizure prediction system can detect seizures prior to their occurrence and
allow clinicians to provide timely treatment for patients with epilepsy. Research on seizure …

[HTML][HTML] Seizure forecasting using a novel sub-scalp ultra-long term EEG monitoring system

RE Stirling, MI Maturana, PJ Karoly, ES Nurse… - Frontiers in …, 2021 - frontiersin.org
Accurate identification of seizure activity, both clinical and subclinical, has important
implications in the management of epilepsy. Accurate recognition of seizure activity is …