Quantitative analysis of phenotypic elements augments traditional electroclinical classification of common familial epilepsies

Abou-Khalil, Basil, Afawi, Zaid, Allen, Andrew S., Bautista, Jocelyn F., Bellows, Susannah T., Berkovic, Samuel F., Bluvstein, Judith, Burgess, Rosemary, Cascino, Gregory, Cossette, Patrick, Cristofaro, Sabrina, Crompton, Douglas E., Delanty, Norman, Devinsky, Orrin, Dlugos, Dennis, Ellis, Colin A., Epstein, Michael P., Fountain, Nathan B., Freyer, Catharine and Geller, Eric B. 2019, Quantitative analysis of phenotypic elements augments traditional electroclinical classification of common familial epilepsies, Epilepsia, vol. 60, no. 11, pp. 2194-2203, doi: 10.1111/epi.16354.

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Title Quantitative analysis of phenotypic elements augments traditional electroclinical classification of common familial epilepsies
Author(s) Abou-Khalil, Basil
Afawi, Zaid
Allen, Andrew S.
Bautista, Jocelyn F.
Bellows, Susannah T.
Berkovic, Samuel F.
Bluvstein, Judith
Burgess, Rosemary
Cascino, Gregory
Cossette, Patrick
Cristofaro, Sabrina
Crompton, Douglas E.
Delanty, Norman
Devinsky, Orrin
Dlugos, Dennis
Ellis, Colin A.
Epstein, Michael P.
Fountain, Nathan B.
Freyer, Catharine
Geller, Eric B.
Journal name Epilepsia
Volume number 60
Issue number 11
Start page 2194
End page 2203
Total pages 10
Publisher Wiley
Place of publication Chichester, Eng.
Publication date 2019-11
ISSN 0013-9580
1528-1167
Keyword(s) Science & Technology
Life Sciences & Biomedicine
Clinical Neurology
Neurosciences & Neurology
epilepsy
genetics
latent class analysis
phenotype
ILAE COMMISSION
POSITION PAPER
SEIZURE TYPES
LATENT CLASS
DISORDER
Epi4K Consortium
Language eng
DOI 10.1111/epi.16354
Indigenous content off
Field of Research 1103 Clinical Sciences
1109 Neurosciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Wiley Periodicals, Inc.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30132205

Document type: Journal Article
Collections: Faculty of Health
School of Psychology
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