CRITICAL SLOWING IN EPILEPSY
Grant number: 1130468 | Funding period: 2017 - 2019
Seizures appear unpredictable and greatly affect the quality of all aspects of life for patients with epilepsy and their carers. New advances in complex systems theory suggest that transitions from normal brain activity to seizures are preceded by measurable changes in the brain’s responses to stimuli, known as critical slowing. Measurement of critical slowing will enable prediction of seizures, providing a warning system, and possibly an opportunity to deliver preventative therapies.
Related publications (7)
Seizure likelihood varies with day-to-day variations in sleep duration in patients with refractory focal epilepsy: A longitudinal electroencephalography investigation
Katrina L Dell, Daniel E Payne, Vaclav Kremen, Matias I Maturana, Vaclav Gerla, Petr Nejedly, Gregory A Worrell, Lhotska Lenka, Filip Mivalt, Raymond C Boston, Benjamin H Brinkmann, Wendyl D'Souza, Anthony N Burkitt, David B Grayden, Levin Kuhlmann, Dean R Freestone, Mark J Cook
BACKGROUND: While the effects of prolonged sleep deprivation (≥24 h) on seizure occurrence has been thoroughly explored, little is..
High-Frequency Oscillations in Epilepsy What Have We Learned and What Needs to be Addressed
Zhuying Chen, Matias I Maturana, Anthony N Burkitt, Mark J Cook, David B Grayden
For the past 2 decades, high-frequency oscillations (HFOs) have been enthusiastically studied by the epilepsy community. Emerging ..
Spatiotemporal Patterns of High-Frequency Activity (80-170 Hz) in Long-Term Intracranial EEG
Zhuying Chen, David B Grayden, Anthony N Burkitt, Udaya Seneviratne, Wendyl J D'Souza, Chris French, Philippa J Karoly, Katrina Dell, Kent Leyde, Mark J Cook, Matias I Maturana
OBJECTIVE: To determine the utility of high-frequency activity (HFA) and epileptiform spikes as biomarkers for epilepsy, we examin..
Critical slowing down as a biomarker for seizure susceptibility.
Matias I Maturana, Christian Meisel, Katrina Dell, Philippa J Karoly, Wendyl D'Souza, David B Grayden, Anthony N Burkitt, Premysl Jiruska, Jan Kudlacek, Jaroslav Hlinka, Mark J Cook, Levin Kuhlmann, Dean R Freestone
The human brain has the capacity to rapidly change state, and in epilepsy these state changes can be catastrophic, resulting in lo..
Forecasting cycles of seizure likelihood
Philippa J Karoly, Mark J Cook, Matias Maturana, Ewan S Nurse, Daniel Payne, Benjamin H Brinkmann, David B Grayden, Sonya B Dumanis, Mark P Richardson, Greg A Worrell, Andreas Schulze-Bonhage, Levin Kuhlmann, Dean R Freestone
Objective Seizure unpredictability is rated as one of the most challenging aspects of living with epilepsy. Seizure likelihood can..
Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram
Duy Truong Nhan, Duy Nguyen Anh, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Samuel Ippolito, Omid Kavehei
Seizure prediction has attracted growing attention as one of the most challenging predictive data analysis efforts to improve the ..
Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG
Levin Kuhlmann, Philippa Karoly, Dean R Freestone, Benjamin H Brinkmann, Andriy Temko, Alexandre Barachant, Feng Li, Gilberto Titericz, Brian W Lang, Daniel Lavery, Kelly Roman, Derek Broadhead, Scott Dobson, Gareth Jones, Qingnan Tang, Irina Ivanenko, Oleg Panichev, Timothee Proix, Michal Nahlik, Daniel B Grunberg
Accurate seizure prediction will transform epilepsy management by offering warnings to patients or triggering interventions. Howev..