Abstract
Objective: Interictal high-frequency oscillations (HFOs, 80-500. Hz) can predict the seizure onset zone (SOZ), but visual detection of HFOs is time consuming. Time-frequency analysis can reveal large high-frequency (HF) power changes (80-500. Hz) associated with inter-ictal spikes. The present study determines how well the rate of HFOs and spike-related HF power changes were co-localized with SOZ. Methods: We analyzed 583 channels (68 in the SOZ) sampled from 14 patients who underwent intracranial EEG recording. We determined if the rate of visually-marked HFOs and spike-related HF power changes differed between SOZ and non-SOZ. Results: Significantly higher rates of HFOs were found in SOZ. The degree of spike-related HF power augmentation failed to differ between SOZ and non-SOZ, whereas that of post-spike HF power attenuation was significantly more severe in SOZ compared to in non-SOZ. Regions showing HFOs and large spike-related HF-changes showed a partial overlap in distribution in 7/14 patients. Conclusions: Strong HF augmentation during spikes and high HFO rates occurred over different brain locations. The rate of HFOs showed the best performance in identifying SOZ. Post-spike HF power attenuation may represent increased inhibition in these channels and should be investigated further. Significance: Strong HF power changes during spikes and HFOs per se seem to reflect distinct phenomena.
| Original language | English |
|---|---|
| Journal | Clinical Neurophysiology |
| DOIs | |
| Publication status | Accepted/In press - 2015 |
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Keywords
- Epilepsy surgery
- Fast ripple
- Ripple
- Seizure onset zone
- Spikes
ASJC Scopus subject areas
- Clinical Neurology
- Neurology
- Physiology (medical)
- Sensory Systems
Cite this
The identification of distinct high-frequency oscillations during spikes delineates the seizure onset zone better than high-frequency spectral power changes. / Jacobs, Julia; Vogt, Christina; LeVan, Pierre; Zelmann, Rina; Gotman, Jean; Kobayashi, Katsuhiro.
In: Clinical Neurophysiology, 2015.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - The identification of distinct high-frequency oscillations during spikes delineates the seizure onset zone better than high-frequency spectral power changes
AU - Jacobs, Julia
AU - Vogt, Christina
AU - LeVan, Pierre
AU - Zelmann, Rina
AU - Gotman, Jean
AU - Kobayashi, Katsuhiro
PY - 2015
Y1 - 2015
N2 - Objective: Interictal high-frequency oscillations (HFOs, 80-500. Hz) can predict the seizure onset zone (SOZ), but visual detection of HFOs is time consuming. Time-frequency analysis can reveal large high-frequency (HF) power changes (80-500. Hz) associated with inter-ictal spikes. The present study determines how well the rate of HFOs and spike-related HF power changes were co-localized with SOZ. Methods: We analyzed 583 channels (68 in the SOZ) sampled from 14 patients who underwent intracranial EEG recording. We determined if the rate of visually-marked HFOs and spike-related HF power changes differed between SOZ and non-SOZ. Results: Significantly higher rates of HFOs were found in SOZ. The degree of spike-related HF power augmentation failed to differ between SOZ and non-SOZ, whereas that of post-spike HF power attenuation was significantly more severe in SOZ compared to in non-SOZ. Regions showing HFOs and large spike-related HF-changes showed a partial overlap in distribution in 7/14 patients. Conclusions: Strong HF augmentation during spikes and high HFO rates occurred over different brain locations. The rate of HFOs showed the best performance in identifying SOZ. Post-spike HF power attenuation may represent increased inhibition in these channels and should be investigated further. Significance: Strong HF power changes during spikes and HFOs per se seem to reflect distinct phenomena.
AB - Objective: Interictal high-frequency oscillations (HFOs, 80-500. Hz) can predict the seizure onset zone (SOZ), but visual detection of HFOs is time consuming. Time-frequency analysis can reveal large high-frequency (HF) power changes (80-500. Hz) associated with inter-ictal spikes. The present study determines how well the rate of HFOs and spike-related HF power changes were co-localized with SOZ. Methods: We analyzed 583 channels (68 in the SOZ) sampled from 14 patients who underwent intracranial EEG recording. We determined if the rate of visually-marked HFOs and spike-related HF power changes differed between SOZ and non-SOZ. Results: Significantly higher rates of HFOs were found in SOZ. The degree of spike-related HF power augmentation failed to differ between SOZ and non-SOZ, whereas that of post-spike HF power attenuation was significantly more severe in SOZ compared to in non-SOZ. Regions showing HFOs and large spike-related HF-changes showed a partial overlap in distribution in 7/14 patients. Conclusions: Strong HF augmentation during spikes and high HFO rates occurred over different brain locations. The rate of HFOs showed the best performance in identifying SOZ. Post-spike HF power attenuation may represent increased inhibition in these channels and should be investigated further. Significance: Strong HF power changes during spikes and HFOs per se seem to reflect distinct phenomena.
KW - Epilepsy surgery
KW - Fast ripple
KW - Ripple
KW - Seizure onset zone
KW - Spikes
UR - http://www.scopus.com/inward/record.url?scp=84929439146&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929439146&partnerID=8YFLogxK
U2 - 10.1016/j.clinph.2015.04.053
DO - 10.1016/j.clinph.2015.04.053
M3 - Article
C2 - 25998203
AN - SCOPUS:84929439146
JO - Clinical Neurophysiology
JF - Clinical Neurophysiology
SN - 1388-2457
ER -