Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy – A comparison with scalp EEG monitoring
•First published comparison between ear-EEG and scalp-EEG in patients with epilepsy.•Ear-EEG can detect temporal lobe seizures and generalized seizures.•Ear-EEG can characterize interictal spikes. Ear-EEG is recording of electroencephalography from a small device in the ear. This is the first study...
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Veröffentlicht in: | Clinical neurophysiology 2017-12, Vol.128 (12), p.2454-2461 |
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Zusammenfassung: | •First published comparison between ear-EEG and scalp-EEG in patients with epilepsy.•Ear-EEG can detect temporal lobe seizures and generalized seizures.•Ear-EEG can characterize interictal spikes.
Ear-EEG is recording of electroencephalography from a small device in the ear. This is the first study to compare ictal and interictal abnormalities recorded with ear-EEG and simultaneous scalp-EEG in an epilepsy monitoring unit.
We recorded and compared simultaneous ear-EEG and scalp-EEG from 15 patients with suspected temporal lobe epilepsy. EEGs were compared visually by independent neurophysiologists. Correlation and time-frequency analysis was used to quantify the similarity between ear and scalp electrodes. Spike-averages were used to assess similarity of interictal spikes.
There were no differences in sensitivity or specificity for seizure detection. Mean correlation coefficient between ear-EEG and nearest scalp electrode was above 0.6 with a statistically significant decreasing trend with increasing distance away from the ear. Ictal morphology and frequency dynamics can be observed from visual inspection and time-frequency analysis. Spike averages derived from ear-EEG electrodes yield a recognizable spike appearance.
Our results suggest that ear-EEG can reliably detect electroencephalographic patterns associated with focal temporal lobe seizures. Interictal spike morphology from sufficiently large temporal spike sources can be sampled using ear-EEG.
Ear-EEG is likely to become an important tool in clinical epilepsy monitoring and diagnosis. |
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ISSN: | 1388-2457 1872-8952 |
DOI: | 10.1016/j.clinph.2017.09.115 |