Journal home
Advance online publication
Current issue
Archive
Press releases
Supplements
Focuses
Guide to authors
Online submissionOnline submission
For referees
Free online issue
Contact the journal
Subscribe
Advertising
work@npg
Reprints and permissions
About this site
For librarians
 
NPG Resources
Nature
Nature Reviews
Nature Immunology
Nature Cell Biology
Nature Genetics
news@nature.com
Nature Conferences
Dissect Medicine
NPG Subject areas
Biotechnology
Cancer
Chemistry
Clinical Medicine
Dentistry
Development
Drug Discovery
Earth Sciences
Evolution & Ecology
Genetics
Immunology
Materials Science
Medical Research
Microbiology
Molecular Cell Biology
Neuroscience
Pharmacology
Physics
Browse all publications
Article
Nature Medicine  4, 1173 - 1176 (1998)
doi:10.1038/2667

Epileptic seizures can be anticipated by non-linear analysis

J. Martinerie1, C. Adam1, 2, M. Le Van Quyen1, M. Baulac1, 2, S. Clemenceau1, 2, B. Renault1 & F.J. Varela1

1  Laboratoire de Neurosciences Cognitives et Imagerie Cérébrale (CNRS UPR 640), Hôpital de la Salpêtrière , 47 Bld. de l'Hôpital, 75651 Paris cedex 13, Paris , France

2  Unité d'Epileptologie, Hôpital de la Salpétrière , 47 Bld. de l'Hôpital, 75651 Paris cedex 13, France

Correspondence should be addressed to J. Martinerie
Epileptic seizures are a principal brain dysfunction with important public health implications, as they affect 0.8% of humans. Many of these patients (20%) are resistant to treatment with drugs1. The ability to anticipate the onset of seizures in such cases would permit clinical interventions. The view of chronic focal epilepsy now is that abnormally discharging neurons act as pacemakers to recruit and entrain other normal neurons by loss of inhibition and synchronization into a critical mass2. Thus, pre-ictal changes should be detectable during the stages of recruitment. Traditional signal analyses, such as the count of focal spike density3, the frequency coherence4 or spectral analyses are not reliable predictors. Non-linear indicators may undergo consistent changes around seizure onset5, 6, 7. Our objective was to follow the transition into seizure by reconstructing intracranial recordings in implanted patients as trajectories in a phase space and then introduce non-linear indicators to characterize them8, 9. These indicators take into account the extended spatio−temporal nature of the epileptic recruitment processes10 and the corresponding physiological events governed by short-term causalities in the time series. We demonstrate that in most cases (17 of 19), seizure onset could be anticipated well in advance (between 2−6 minutes beforehand), and that all subjects seemed to share a similar 'route' towards seizure.

 Top
Abstract
Previous | Next
Table of contents
Full textFull text
Download PDFDownload PDF
Send to a friendSend to a friend
Save this linkSave this link

Open Innovation Challenges

naturejobs

Figures & Tables
Export citation
natureproducts

Search buyers guide:

 
ADVERTISEMENT
 
Nature Medicine
ISSN: 1078-8956
EISSN: 1546-170X
Journal home | Advance online publication | Current issue | Archive | Press releases | Supplements | Focuses | For authors | Online submission | For referees | Free online issue | About the journal | Contact the journal | Subscribe | Advertising | work@npg | Reprints and permissions | About this site | For librarians
Nature Publishing Group, publisher of Nature, and other science journals and reference works©1998 Nature Publishing Group | Privacy policy