uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
A New Method for Quantification and Assessment of Epileptiform Activity in EEG with Special Reference to Focal Nocturnal Epileptiform Activity
Dept. of Neurodiagnostics, National Centre for Epilepsy, Dev. of Clinical Neuroscience, Riskhospitale University, Sandvika, Norway.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Women's and Children's Health. (Barnneurologisk forskning/Ahlsten)
2009 (English)In: Brain Topography, ISSN 0896-0267, E-ISSN 1573-6792, Vol. 22, no 1, 52-59 p.Article in journal (Refereed) Published
Abstract [en]

Quantification of epileptiform activity in EEG has been applied for decades. This has mainly been done by visual inspection of the recorded EEG. There have been many attempts using computers to quantify the activity, usually with moderate success. In a row of contexts, including Landau-Kleffner syndrome and the syndrome of epilepsy with continuous spike wave during slow sleep, the spike index (SI) has been applied to quantify [Symbol: see text]interictal nocturnal focal epileptiform activity', which is suggested as a general term for the epileptiform activity enhanced by sleep. However, the SI has been implemented differently by different authors and has usually not been well described and never properly defined. This study suggests a definition of SI that gives a semiautomatic and relatively robust algorithm for assessment. The method employs spike detection by means of template matching of the current source density estimate. The percentage of time within an epoch with interspike interval (ISI) below a given limit, usually 3 s, is returned as the SI. This is calculated during daytime and in non-REM sleep. The standard epoch length is 10 min. The parameter selection is discussed in the context of the influence of spikes and bursts on cognition. The described method gives reproducible results in routine use, gives clinical valuable information, and is easily implemented in a clinical setting. There is only a minor added workload for the electroencephalographer.

Place, publisher, year, edition, pages
2009. Vol. 22, no 1, 52-59 p.
Keyword [en]
EEG, Spike detection, CSWS, Spike index, Cognition
National Category
Medical and Health Sciences
URN: urn:nbn:se:uu:diva-103123DOI: 10.1007/s10548-008-0072-3ISI: 000268774700009PubMedID: 19005748OAI: oai:DiVA.org:uu-103123DiVA: diva2:217471
Available from: 2009-05-14 Created: 2009-05-14 Last updated: 2010-07-12Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed
By organisation
Department of Women's and Children's Health
In the same journal
Brain Topography
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 192 hits
ReferencesLink to record
Permanent link

Direct link