Ictal dipole source analysis based on a realistic scalp–skull–brain head model in localizing the epileptogenic zone

Mine, Seiichiro; Iwasa, Hiroto; Kasagi, Yasufumi; Yamaura, Akira

doi:10.1016/j.neures.2004.12.015

Cited by 6 publications

(7 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2000, Ebersole et al demonstrated that dipole orientation could provide information about the origin of temporal lobe seizures. The same conclusion was reached by Mine et al, in 2005 with realistic head models. Taken together, these data strongly suggest that ictal spikes are good candidates for source localization with ECD and MUSIC.…”

Section: Ictal Spikessupporting

confidence: 77%

“…An accurate localization could be obtained with ECD and MUSIC in all types of epilepsy studied (TLE, FLE, and PCE). The adequacy of these two models has been demonstrated previously for source localization of interictal spikes (Ebersole, 2000;Lantz et al, 2003;Michel et al, 2004a,b;Gavaret et al, 2004Gavaret et al, , 2006Gavaret et al, , 2009 and ictal spikes (Ebersole, 2000;Mine et al, 2005). In 2000, Ebersole et al demonstrated that dipole orientation could provide information about the origin of temporal lobe seizures.…”

Section: Ictal Spikesmentioning

confidence: 83%

See 1 more Smart Citation

Source localization of ictal epileptic activity investigated by high resolution EEG and validated by SEEG

et al. 2010

View full text Add to dashboard Cite

Section: Ictal Spikessupporting

confidence: 77%

Section: Ictal Spikesmentioning

confidence: 83%

Source localization of ictal epileptic activity investigated by high resolution EEG and validated by SEEG

et al. 2010

View full text Add to dashboard Cite

“…We also found that using TF plus BMA source analysis provided a less blurred source distribution with higher correspondence (in both localization and lateralization) between the estimated epileptogenic sources (epileptic discharges and related activity) and those expected by detailed analysis of the clinical seizures (video EEG), compared with those obtained by source analysis in the time domain alone (see BET images in Figure 1C). For time-domain analysis, some researchers select the spike’s negative peak amplitude for analysis, 3,6,15,27 whereas others select earlier components of the epileptiform discharge, reporting that their sources most closely correspond to the epileptogenic zone. 16-19,42,44 In this context, EEG source analysis, on the basis of TF analysis, could provide a valid alternative for overcoming this issue.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, we provide a first attempt to validate this methodology in clinical practice and in a representative number of patients. This approach may be an alternative to invasive studies with their implicit high costs and risks, 17,27,28 and could also be a useful complement to other neuroimaging information.…”

Section: Introductionmentioning

confidence: 99%

Improving Electroencephalographic Source Localization of Epileptogenic Zones With Time-Frequency Analysis

Cuspineda-Bravo¹,

Martı́nez-Montes

Farach-Fumero³

et al. 2014

Clin EEG Neurosci

View full text Add to dashboard Cite

The combination of recently developed methods for electroencephalographic (EEG) space-time-frequency analysis can provide noninvasive functional neuroimages necessary for obtaining an accurate localization of the epileptogenic zone. The aim of this study was to determine if time-frequency (TF) analysis, followed by EEG source localization, would improve the detection and identification of epileptogenic and related activity. Seventeen patients with refractory frontal lobe epilepsy (FLE) were studied using video EEG recording. TF analysis identified the first epileptogenic EEG changes. Using the Bayesian model averaging (BMA) approach, we compared brain electromagnetic tomographic (BET) images, constructed from the TF domain, with BET images constructed from the time domain only. We determined if the localization identified by BET images was concordant with the localization from medical history and video EEG recording. TF analysis provided a clear display of subtle EEG features, including EEG lateralization, and more concordant and delimited epileptogenic zones, compared with time-domain source analysis. In conclusion, EEG TF analysis improves source localization. After a thorough validation, this methodology could become a useful noninvasive tool for localizing the epileptogenic zone in clinical practice.

show abstract

“…One study reports that the used “inverse solution” [ 11 ] is not useful at all for localising seizure onsets [ 12 ]. Some studies were restricted to temporal lobe seizures [ 13 , 14 ]. One reason to select temporal lobe seizures is that source analysis is most reliable during periods of relative signal stationarity in order to average repetitive ictal waveforms, which is more common in temporal than in extratemporal lobe seizures.…”

Section: Introductionmentioning

confidence: 99%

Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study

Vos

Lathauwer

Vanrumste

et al. 2007

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Long-term electroencephalographic (EEG) recordings are important in the presurgical evaluation of refractory partial epilepsy for the delineation of the ictal onset zones. In this paper, we introduce a new concept for an automatic, fast, and objective localisation of the ictal onset zone in ictal EEG recordings. Canonical decomposition of ictal EEG decomposes the EEG in atoms. One or more atoms are related to the seizure activity. A single dipole was then fitted to model the potential distribution of each epileptic atom. In this study, we performed a simulation study in order to estimate the dipole localisation error. Ictal dipole localisation was very accurate, even at low signal-to-noise ratios, was not affected by seizure activity frequency or frequency changes, and was minimally affected by the waveform and depth of the ictal onset zone location. Ictal dipole localisation error using 21 electrodes was around 10.0 mm and improved more than tenfold in the range of 0.5–1.0 mm using 148 channels. In conclusion, our simulation study of canonical decomposition of ictal scalp EEG allowed a robust and accurate localisation of the ictal onset zone.

show abstract

Ictal dipole source analysis based on a realistic scalp–skull–brain head model in localizing the epileptogenic zone

Cited by 6 publications

References 25 publications

Source localization of ictal epileptic activity investigated by high resolution EEG and validated by SEEG

Source localization of ictal epileptic activity investigated by high resolution EEG and validated by SEEG

Improving Electroencephalographic Source Localization of Epileptogenic Zones With Time-Frequency Analysis

Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study

Contact Info

Product

Resources

About