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Automated ictal EEG source imaging: A retrospective, blinded clinical validation study. | LitMetric

Automated ictal EEG source imaging: A retrospective, blinded clinical validation study.

Clin Neurophysiol

Department of Clinical Neurophysiology, Danish Epilepsy Centre, Visby Allé 5, 4293 Dianalund, Denmark; Department of Clinical Neurophysiology, Aarhus University Hospital, Palle Juul-Jensens Blvd., 8200 Aarhus, Denmark. Electronic address:

Published: September 2022

AI Article Synopsis

Article Abstract

Objective: EEG source imaging (ESI) is a validated tool in the multimodal workup of patients with drug resistant focal epilepsy. However, it requires special expertise and it is underutilized. To circumvent this, automated analysis pipelines have been developed and validated for the interictal discharges. In this study, we present the clinical validation of an automated ESI for ictal EEG signals.

Methods: We have developed an automated analysis pipeline of ictal EEG activity, based on spectral analysis in source space, using an individual head model of six tissues. The analysis was done blinded to all other data. As reference standard, we used the concordance with the resected area and one-year postoperative outcome.

Results: We analyzed 50 consecutive patients undergoing epilepsy surgery (34 temporal and 16 extra-temporal). Thirty patients (60%) became seizure-free. The accuracy of the automated ESI was 74% (95% confidence interval: 59.66-85.37%).

Conclusions: Automated ictal ESI has a high accuracy for localizing the seizure onset zone.

Significance: Automating the ESI of the ictal EEG signals will facilitate implementation of this tool in the presurgical evaluation.

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Source
http://dx.doi.org/10.1016/j.clinph.2021.03.040DOI Listing

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