ADVANCED EPILEPTIC SEIZURE WARNING METHODS
Grant number: 1065638 | Funding period: 2014 - 2016
Epilepsy is a debilitating neurological disorder characterised by spontaneous seizures. For a third of epilepsy patients, drugs cannot prevent epileptic seizures from occurring without causing severe side effects. Therefore alternative treatments are needed. This work will develop epileptic seizure warning methods. This will alleviate the stress of randomly occurring seizures by giving patients the chance to move to safety before a seizure occurs, therefore enhancing their quality of life.
Related publications (15)
Identifying seizure risk factors: A comparison of sleep, weather, and temporal features using a Bayesian forecast
Daniel E Payne, Katrina L Dell, Phillipa J Karoly, Vaclav Kremen, Vaclav Gerla, Levin Kuhlmann, Gregory A Worrell, Mark J Cook, David B Grayden, Dean R Freestone
OBJECTIVE: Most seizure forecasting algorithms have relied on features specific to electroencephalographic recordings. Environment..
Quantifying epileptogenesis in rats with spontaneous and responsive brain state dynamics.
Dakota N Crisp, Warwick Cheung, Stephen V Gliske, Alan Lai, Dean R Freestone, David B Grayden, Mark J Cook, William C Stacey
There is a crucial need to identify biomarkers of epileptogenesis that will help predict later development of seizures. This work ..
When can we trust responders? Serious concerns when using 50% response rate to assess clinical trials
Philippa J Karoly, Juan Romero, Mark J Cook, Dean R Freestone, Daniel M Goldenholz
Individual seizure rates are highly volatile, with large fluctuations from month‐to‐month. Nevertheless, changes in individual mea..
Circadian and circaseptan rhythms in human epilepsy: a retrospective cohort study
Philippa J Karoly, Daniel M Goldenholz, Dean R Freestone, Robert E Moss, David B Grayden, William H Theodore, Mark J Cook
BACKGROUND: Epilepsy has long been suspected to be governed by cyclic rhythms, with seizure rates rising and falling periodically ..
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 ..
Postictal suppression and seizure durations: A patient-specific, long-term iEEG analysis
Daniel E Payne, Philippa J Karoly, Dean R Freestone, Ray Boston, Wendyl D'Souza, Ewan Nurse, Levin Kuhlmann, Mark J Cook, David B Grayden
OBJECTIVE: We report on patient-specific durations of postictal periods in long-term intracranial electroencephalography (iEEG) re..
Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System
Isabell Kiral-Kornek, Subhrajit Roy, Ewan Nurse, Benjamin Mashford, Philippa Karoly, Thomas Carroll, Daniel Payne, Susmita Saha, Steven Baldassano, Terence O'Brien, David Grayden, Mark Cook, Dean Freestone, Stefan Harrer
BACKGROUND: Seizure prediction can increase independence and allow preventative treatment for patients with epilepsy. We present a..
The circadian profile of epilepsy improves seizure forecasting
Philippa J Karoly, Hoameng Ung, David B Grayden, Levin Kuhlmann, Kent Leyde, Mark J Cook, Dean R Freestone
It is now established that epilepsy is characterized by periodic dynamics that increase seizure likelihood at certain times of day..
Interictal spikes and epileptic seizures: their relationship and underlying rhythmicity
Philippa J Karoly, Dean R Freestone, Ray Boston, David B Grayden, David Himes, Kent Leyde, Udaya Seneviratne, Samuel Berkovic, Terence O'Brien, Mark J Cook
We report on a quantitative analysis of electrocorticography data from a study that acquired continuous ambulatory recordings in h..
Human focal seizures are characterized by populations of fixed duration and interval
Mark J Cook, Philippa J Karoly, Dean R Freestone, David Himes, Kent Leyde, Samuel Berkovic, Terence O'Brien, David B Grayden, Ray Boston
OBJECTIVE: We report on a quantitative analysis of data from a study that acquired continuous long-term ambulatory human electroen..
Intrinsic excitability measures track antiepileptic drug action and uncover increasing/decreasing excitability over the wake/sleep cycle
Christian Meisel, Andreas Schulze-Bonhage, Dean Freestone, Mark James Cook, Peter Achermann, Dietmar Plenz
Pathological changes in excitability of cortical tissue commonly underlie the initiation and spread of seizure activity in patient..
Seizure Prediction: Science Fiction or Soon to Become Reality?
Dean R Freestone, Philippa J Karoly, Andre DH Peterson, Levin Kuhlmann, Alan Lai, Farhad Goodarzy, Mark J Cook
This review highlights recent developments in the field of epileptic seizure prediction. We argue that seizure prediction is possi..