Source localization of rhythmic ictal EEG activity: A study of diagnostic accuracy following STARD criteria. Issue 10 (14th August 2013)
- Record Type:
- Journal Article
- Title:
- Source localization of rhythmic ictal EEG activity: A study of diagnostic accuracy following STARD criteria. Issue 10 (14th August 2013)
- Main Title:
- Source localization of rhythmic ictal EEG activity: A study of diagnostic accuracy following STARD criteria
- Authors:
- Beniczky, Sándor
Lantz, Göran
Rosenzweig, Ivana
Åkeson, Per
Pedersen, Birthe
Pinborg, Lars H.
Ziebell, Morten
Jespersen, Bo
Fuglsang‐Frederiksen, Anders - Abstract:
- <abstract abstract-type="main" id="epi12339-abs-0001"> <title>Summary</title> <sec id="epi12339-sec-0001" sec-type="section"> <title>Purpose</title> <p>Although precise identification of the seizure‐onset zone is an essential element of presurgical evaluation, source localization of ictal electroencephalography (EEG) signals has received little attention. The aim of our study was to estimate the accuracy of source localization of rhythmic ictal EEG activity using a distributed source model.</p> </sec> <sec id="epi12339-sec-0002" sec-type="section"> <title>Methods</title> <p>Source localization of rhythmic ictal scalp EEG activity was performed in 42 consecutive cases fulfilling inclusion criteria. The study was designed according to recommendations for studies on diagnostic accuracy (STARD). The initial ictal EEG signals were selected using a standardized method, based on frequency analysis and voltage distribution of the ictal activity. A distributed source model—local autoregressive average (LAURA)—was used for the source localization. Sensitivity, specificity, and measurement of agreement (kappa) were determined based on the reference standard—the consensus conclusion of the multidisciplinary epilepsy surgery team. Predictive values were calculated from the surgical outcome of the operated patients. To estimate the clinical value of the ictal source analysis, we compared the likelihood ratios of concordant and discordant results. Source localization was performed blinded<abstract abstract-type="main" id="epi12339-abs-0001"> <title>Summary</title> <sec id="epi12339-sec-0001" sec-type="section"> <title>Purpose</title> <p>Although precise identification of the seizure‐onset zone is an essential element of presurgical evaluation, source localization of ictal electroencephalography (EEG) signals has received little attention. The aim of our study was to estimate the accuracy of source localization of rhythmic ictal EEG activity using a distributed source model.</p> </sec> <sec id="epi12339-sec-0002" sec-type="section"> <title>Methods</title> <p>Source localization of rhythmic ictal scalp EEG activity was performed in 42 consecutive cases fulfilling inclusion criteria. The study was designed according to recommendations for studies on diagnostic accuracy (STARD). The initial ictal EEG signals were selected using a standardized method, based on frequency analysis and voltage distribution of the ictal activity. A distributed source model—local autoregressive average (LAURA)—was used for the source localization. Sensitivity, specificity, and measurement of agreement (kappa) were determined based on the reference standard—the consensus conclusion of the multidisciplinary epilepsy surgery team. Predictive values were calculated from the surgical outcome of the operated patients. To estimate the clinical value of the ictal source analysis, we compared the likelihood ratios of concordant and discordant results. Source localization was performed blinded to the clinical data, and before the surgical decision.</p> </sec> <sec id="epi12339-sec-0003" sec-type="section"> <title>Key Findings</title> <p>Reference standard was available for 33 patients. The ictal source localization had a sensitivity of 70% and a specificity of 76%. The mean measurement of agreement (kappa) was 0.61, corresponding to substantial agreement (95% confidence interval (CI) 0.38–0.84). Twenty patients underwent resective surgery. The positive predictive value (PPV) for seizure freedom was 92% and the negative predictive value (NPV) was 43%. The likelihood ratio was nine times higher for the concordant results, as compared with the discordant ones.</p> </sec> <sec id="epi12339-sec-0004" sec-type="section"> <title>Significance</title> <p>Source localization of rhythmic ictal activity using a distributed source model (LAURA) for the ictal EEG signals selected with a standardized method is feasible in clinical practice and has a good diagnostic accuracy. Our findings encourage clinical neurophysiologists assessing ictal EEGs to include this method in their armamentarium.</p> </sec> </abstract> … (more)
- Is Part Of:
- Epilepsia. Volume 54:Issue 10(2013:Oct.)
- Journal:
- Epilepsia
- Issue:
- Volume 54:Issue 10(2013:Oct.)
- Issue Display:
- Volume 54, Issue 10 (2013)
- Year:
- 2013
- Volume:
- 54
- Issue:
- 10
- Issue Sort Value:
- 2013-0054-0010-0000
- Page Start:
- 1743
- Page End:
- 1752
- Publication Date:
- 2013-08-14
- Subjects:
- Epilepsy -- Periodicals
616.853 - Journal URLs:
- http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=epi ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/epi.12339 ↗
- Languages:
- English
- ISSNs:
- 0013-9580
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3793.700000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3645.xml