Revealing epilepsy type using a computational analysis of interictal EEG-Reference-Cited by-同舟云学术

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Revealing epilepsy type using a computational analysis of interictal EEG

Published:2019-07-15 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Lopes Marinho A.^ORCID,Perani Suejen,Yaakub Siti N.^ORCID,Richardson Mark P.,Goodfellow Marc^ORCID,Terry John R.

Funder

RCUK | Medical Research Council

Epilepsy Research UK

RCUK | Engineering and Physical Sciences Research Council

DH | National Institute for Health Research

South London and Maudsley NHS Foundation Trust

Wellcome Trust

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-46633-7.pdf

Reference48 articles.

1. Fisher, R. S. et al. Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia 46(4), 470–472 (2005).

2. Scheffer, I. E. et al. ILAE classification of the epilepsies: position paper of the ILAE commission for classification and terminology. Epilepsia 58(4), 512–521 (2017).

3. Fisher, R. S. et al. Operational classification of seizure types by the International League Against Epilepsy: Position Paper of the ILAE Commission for Classification and Terminology. Epilepsia 58(4), 522–530 (2017).

4. Chen, Z., Brodie, M. J., Liew, D. & Kwan, P. Treatment outcomes in patients with newly diagnosed epilepsy treated with established and new antiepileptic drugs: a 30-year longitudinal cohort study. JAMA Neurol. 75(3), 279–286 (2018).

5. Noachtar, S. & Peters, A. S. Semiology of epileptic seizures: a critical review. Epilepsy Behav. 15(1), 2–9 (2009).

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