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History
- Received October 13, 2017
- Revision received November 20, 2017
- Accepted November 21, 2017
- Published online December 14, 2017.
Copyright & Usage
Copyright © 2017 Dumanis et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
Author Information
- Sonya B. Dumanis1,
- Jaqueline A. French1,2,
- Christophe Bernard3,
- Gregory A. Worrell4 and
- Brandy E. Fureman1
- 1Research and New Therapies, Epilepsy Foundation of America, Landover, MD 20784
- 2Department of Neurology, New York University, New York, NY 10003
- 3Aix Marseille University, INSERM, INS, Inst Neurosci Syst, Marseille, 13005, France
- 4Mayo Systems Electrophysiology Laboratory, Mayo Clinic, Rochester, MN 55902
- Correspondence should be addressed to Sonya B. Dumanis at the above address, E-mail: sdumanis{at}efa.org.
Author contributions
Author contributions: C.B., B.E.F., G.W., J.A.F., and S.B.D. designed research; S.B.D. wrote the paper.
Disclosures
The authors declare no competing financial interests.
This work was supported by the Epilepsy Innovation Institute, a research program of the Epilepsy Foundation of America.
Funding
Epilepsy Foundation
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Seizure Forecasting from Idea to Reality. Outcomes of the My Seizure Gauge Epilepsy Innovation Institute Workshop
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- Seizures Have Multi-Temporal Patterns on Ultradian, Circadian, and Multi-Day Time Scales
- Multimodal Analysis of Seizure Events Coupling EEG with Non-EEG Measures May Enhance Seizure-Forecasting Algorithms
- Individualization and Personalization of a Seizure-Forecasting Algorithm Is Necessary
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