Literature DB >> 29995605

High similarity between EEG from subcutaneous and proximate scalp electrodes in patients with temporal lobe epilepsy.

Sigge Weisdorf1,2, Sirin W Gangstad3,4, Jonas Duun-Henriksen3, Karina S S Mosholt5, Troels W Kjær1,2.   

Abstract

Subcutaneous recording using electroencephalography (EEG) has the potential to enable ultra-long-term epilepsy monitoring in real-life conditions because it allows the patient increased mobility and discreteness. This study is the first to compare physiological and epileptiform EEG signals from subcutaneous and scalp EEG recordings in epilepsy patients. Four patients with probable or definite temporal lobe epilepsy were monitored with simultaneous scalp and subcutaneous EEG recordings. EEG recordings were compared by correlation and time-frequency analysis across an array of clinically relevant waveforms and patterns. We found high similarity between the subcutaneous EEG channels and nearby temporal scalp channels for most investigated electroencephalographic events. In particular, the temporal dynamics of one typical temporal lobe seizure in one patient were similar in scalp and subcutaneous recordings in regard to frequency distribution and morphology. Signal similarity is strongly related to the distance between the subcutaneous and scalp electrodes. On the basis of these limited data, we conclude that subcutaneous EEG recordings are very similar to scalp recordings in both time and time-frequency domains, if the distance between them is small. As many electroencephalographic events are local/regional, the positioning of the subcutaneous electrodes should be considered carefully to reflect the relevant clinical question. The impact of implantation depth of the subcutaneous electrode on recording quality should be investigated further. NEW & NOTEWORTHY This study is the first publication comparing the detection of clinically relevant, pathological EEG features from a subcutaneous recording system designed for out-patient ultra-long-term use to gold standard scalp EEG recordings. Our study shows that subcutaneous channels are very similar to comparable scalp channels, but also point out some issues yet to be resolved.

Entities:  

Keywords:  long-term monitoring; subcutaneous EEG; temporal lobe epilepsy; ultra-long-term monitoring; wearable EEG

Mesh:

Year:  2018        PMID: 29995605     DOI: 10.1152/jn.00320.2018

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  9 in total

1.  Seizure forecasting using minimally invasive, ultra-long-term subcutaneous electroencephalography: Individualized intrapatient models.

Authors:  Pedro F Viana; Tal Pal Attia; Mona Nasseri; Jonas Duun-Henriksen; Andrea Biondi; Joel S Winston; Isabel Pavão Martins; Ewan S Nurse; Matthias Dümpelmann; Andreas Schulze-Bonhage; Dean R Freestone; Troels W Kjaer; Mark P Richardson; Benjamin H Brinkmann
Journal:  Epilepsia       Date:  2022-04-08       Impact factor: 6.740

Review 2.  [Mobile seizure monitoring in epilepsy patients].

Authors:  A Schulze-Bonhage; S Böttcher; M Glasstetter; N Epitashvili; E Bruno; M Richardson; K V Laerhoven; M Dümpelmann
Journal:  Nervenarzt       Date:  2019-12       Impact factor: 1.214

3.  Evolving dynamic networks: An underlying mechanism of drug resistance in epilepsy?

Authors:  Wessel Woldman; Mark J Cook; John R Terry
Journal:  Epilepsy Behav       Date:  2019-04-11       Impact factor: 2.937

4.  Ultra-long-term subcutaneous home monitoring of epilepsy-490 days of EEG from nine patients.

Authors:  Sigge Weisdorf; Jonas Duun-Henriksen; Marianne J Kjeldsen; Frantz R Poulsen; Sirin W Gangstad; Troels W Kjaer
Journal:  Epilepsia       Date:  2019-10-13       Impact factor: 5.864

5.  Expert Perspective: Who May Benefit Most From the New Ultra Long-Term Subcutaneous EEG Monitoring?

Authors:  Jay Pathmanathan; Troels W Kjaer; Andrew J Cole; Norman Delanty; Rainer Surges; Jonas Duun-Henriksen
Journal:  Front Neurol       Date:  2022-01-20       Impact factor: 4.003

6.  A Comparison of Energy-Efficient Seizure Detectors for Implantable Neurostimulation Devices.

Authors:  Farrokh Manzouri; Marc Zöllin; Simon Schillinger; Matthias Dümpelmann; Ralf Mikut; Peter Woias; Laura Maria Comella; Andreas Schulze-Bonhage
Journal:  Front Neurol       Date:  2022-03-04       Impact factor: 4.003

7.  Electrographic seizure monitoring with a novel, wireless, single-channel EEG sensor.

Authors:  Mitchell A Frankel; Mark J Lehmkuhle; Meagan Watson; Kirsten Fetrow; Lauren Frey; Cornelia Drees; Mark C Spitz
Journal:  Clin Neurophysiol Pract       Date:  2021-05-29

8.  Subcutaneous EEG Monitoring Reveals AED Response and Breakthrough Seizures.

Authors:  Sigge Weisdorf; Ivan C Zibrandtsen; Troels W Kjaer
Journal:  Case Rep Neurol Med       Date:  2020-01-28

9.  Automatic sleep stage classification based on subcutaneous EEG in patients with epilepsy.

Authors:  Sirin W Gangstad; Kaare B Mikkelsen; Preben Kidmose; Yousef R Tabar; Sigge Weisdorf; Maja H Lauritzen; Martin C Hemmsen; Lars K Hansen; Troels W Kjaer; Jonas Duun-Henriksen
Journal:  Biomed Eng Online       Date:  2019-10-30       Impact factor: 2.819

  9 in total

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