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Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy: A comparison with scalp EEG monitoring

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Standard

Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy : A comparison with scalp EEG monitoring. / Zibrandtsen, I. C.; Kidmose, P.; Christensen, C. B.; Kjaer, T. W.

I: Clinical Neurophysiology, Bind 128, Nr. 12, 2017, s. 2454-2461.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Zibrandtsen, IC, Kidmose, P, Christensen, CB & Kjaer, TW 2017, 'Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy: A comparison with scalp EEG monitoring', Clinical Neurophysiology, bind 128, nr. 12, s. 2454-2461. https://doi.org/10.1016/j.clinph.2017.09.115

APA

Zibrandtsen, I. C., Kidmose, P., Christensen, C. B., & Kjaer, T. W. (2017). Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy: A comparison with scalp EEG monitoring. Clinical Neurophysiology, 128(12), 2454-2461. https://doi.org/10.1016/j.clinph.2017.09.115

Vancouver

Zibrandtsen IC, Kidmose P, Christensen CB, Kjaer TW. Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy: A comparison with scalp EEG monitoring. Clinical Neurophysiology. 2017;128(12):2454-2461. https://doi.org/10.1016/j.clinph.2017.09.115

Author

Zibrandtsen, I. C. ; Kidmose, P. ; Christensen, C. B. ; Kjaer, T. W. / Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy : A comparison with scalp EEG monitoring. I: Clinical Neurophysiology. 2017 ; Bind 128, Nr. 12. s. 2454-2461.

Bibtex

@article{a107a92c5e4f4e72903aa5ce374358bd,
title = "Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy: A comparison with scalp EEG monitoring",
abstract = "Objective 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. Methods 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. Results 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. Conclusions 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. Significance Ear-EEG is likely to become an important tool in clinical epilepsy monitoring and diagnosis.",
keywords = "Ear-EEG, Long-term monitoring, Mobile EEG, Temporal lobe epilepsy, Ultra-long term monitoring, Wearable EEG",
author = "Zibrandtsen, {I. C.} and P. Kidmose and Christensen, {C. B.} and Kjaer, {T. W.}",
year = "2017",
doi = "10.1016/j.clinph.2017.09.115",
language = "English",
volume = "128",
pages = "2454--2461",
journal = "Clinical Neurophysiology",
issn = "1388-2457",
publisher = "Elsevier Ireland Ltd",
number = "12",

}

RIS

TY - JOUR

T1 - Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy

T2 - A comparison with scalp EEG monitoring

AU - Zibrandtsen, I. C.

AU - Kidmose, P.

AU - Christensen, C. B.

AU - Kjaer, T. W.

PY - 2017

Y1 - 2017

N2 - Objective 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. Methods 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. Results 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. Conclusions 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. Significance Ear-EEG is likely to become an important tool in clinical epilepsy monitoring and diagnosis.

AB - Objective 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. Methods 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. Results 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. Conclusions 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. Significance Ear-EEG is likely to become an important tool in clinical epilepsy monitoring and diagnosis.

KW - Ear-EEG

KW - Long-term monitoring

KW - Mobile EEG

KW - Temporal lobe epilepsy

KW - Ultra-long term monitoring

KW - Wearable EEG

U2 - 10.1016/j.clinph.2017.09.115

DO - 10.1016/j.clinph.2017.09.115

M3 - Journal article

C2 - 29096220

AN - SCOPUS:85032377932

VL - 128

SP - 2454

EP - 2461

JO - Clinical Neurophysiology

JF - Clinical Neurophysiology

SN - 1388-2457

IS - 12

ER -

ID: 188486880