Name
Title | ||
|---|---|---|
Localization and propagation analysis of ictal source rhythm by electrocorticography. |
Abstract | ||
|---|---|---|
The purpose of this study was to develop a novel approach for objectively estimating the locations of ictal onset zones by electrocorticography (ECoG). Conventional ECoG analyses have been performed using a 2-D space comprised of intracranial electrodes. Thus, despite the fact that ECoG data have much higher signal-to-noise ratios than electroencephalographic data, ECoG inherently requires a priori information to locate the electrodes, and thus, it is difficult to estimate the depth of epileptogenic foci using this technique. Accordingly, the authors considered that a 3-D approach is needed to determine the presence of an epileptogenic focus in the complex structure of the cortex. However, no source localization procedure has been devised to determine the location of a primary ictal source using ECoG. The authors utilized a spatiotemporal source localization technique using the first principal vectors. A directed transfer function was then employed for the time series of potential ictal sources to compute their causal inter-relationships, from which the primary sources responsible for ictal onset could be localized. Monte-Carlo simulation studies were performed to validate the feasibility and reliability of the proposed ECoG source localization technique, and the obtained results demonstrated that the mean of localization errors with a signal to white Gaussian noise ratio of 5dB did not exceed 5mm, even when the source was located ∼20mm away from the nearest electrode. This validated ictal source localization approach was applied to a number of ictal ECoG data sets from six successfully operated epilepsy patients. The resultant 3-D ictal source locations were found to coincide with surgical resection areas and with traditional 2-D electrode-based source estimates. The authors believe that this proposed ECoG-based ictal source localization method will be found useful, especially when ictal sources are located in a deep sulcus or beyond recording planes. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.neuroimage.2010.04.240 | NeuroImage |
Keywords | Field | DocType |
Ictal onset zone,Source localization,Propagation,Electrocorticography,Directed transfer function,Monte-Carlo simulation,Epilepsy | Data set,Electrocorticography,Computer science,Cognitive psychology,Source localization,Artificial intelligence,Sulcus,Focus (geometry),Pattern recognition,Speech recognition,Additive white Gaussian noise,Rhythm,Ictal | Journal |
Volume | Issue | ISSN |
52 | 4 | 1053-8119 |
Citations | PageRank | References |
5 | 0.58 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| June Sic Kim | 1 | 16 | 5.40 |
| Chang-Hwan Im | 2 | 5 | 0.58 |
| Young Jin Jung | 3 | 39 | 6.76 |
| eun young kim | 4 | 71 | 11.21 |
| Sang Kun Lee | 5 | 13 | 2.40 |
| Chun Kee Chung | 6 | 35 | 5.45 |