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Volume 12
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10.3390/diagnostics12102303
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Article

Electric Source Imaging in Presurgical Evaluation of Epilepsy: An Inter-Analyser Agreement Study

by
Pietro Mattioli
1,2,†,
Evy Cleeren
2,3,†,
Levente Hadady
2,4,
Alberto Cossu
2,5,
Thomas Cloppenborg
6,
Dario Arnaldi
1,7 and
Sándor Beniczky
2,4,8,9,*,‡
1
Department of Neuroscience (DINOGMI), University of Genoa, 16132 Genoa, Italy
2
Danish Epilepsy Center, 4293 Dianalund, Denmark
3
Department of Neurology, University Hospital Leuven, 3000 Leuven, Belgium
4
Department of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, 6720 Szeged, Hungary
5
Child Neuropsychiatry, Department of Surgical Sciences, Dentistry, Gynecology and Pediatrics, University of Verona, 37126 Verona, Italy
6
Department of Epileptology, Krankenhaus Mara, Medical School, Bielefeld University, 33615 Bielefeld, Germany
7
IRCCS San Martino Hospital, 16132 Genoa, Italy
8
Department of Clinical Neurophysiology, Aarhus University Hospital, 8200 Aarhus, Denmark
9
Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
‡
Member of the European Reference Network, EpiCARE.
Diagnostics 2022, 12(10), 2303; https://doi.org/10.3390/diagnostics12102303
Submission received: 18 July 2022 / Revised: 13 September 2022 / Accepted: 21 September 2022 / Published: 24 September 2022
(This article belongs to the Special Issue Brain Imaging in Epilepsy)
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Abstract

Electric source imaging (ESI) estimates the cortical generator of the electroencephalography (EEG) signals recorded with scalp electrodes. ESI has gained increasing interest for the presurgical evaluation of patients with drug-resistant focal epilepsy. In spite of a standardised analysis pipeline, several aspects tailored to the individual patient involve subjective decisions of the expert performing the analysis, such as the selection of the analysed signals (interictal epileptiform discharges and seizures, identification of the onset epoch and time-point of the analysis). Our goal was to investigate the inter-analyser agreement of ESI in presurgical evaluations of epilepsy, using the same software and analysis pipeline. Six experts, of whom five had no previous experience in ESI, independently performed interictal and ictal ESI of 25 consecutive patients (17 temporal, 8 extratemporal) who underwent presurgical evaluation. The overall agreement among experts for the ESI methods was substantial (AC1 = 0.65; 95% CI: 0.59–0.71), and there was no significant difference between the methods. Our results suggest that using a standardised analysis pipeline, newly trained experts reach similar ESI solutions, calling for more standardisation in this emerging clinical application in neuroimaging.
Keywords: EEG; epilepsy; presurgical evaluation; source analysis; source imaging EEG; epilepsy; presurgical evaluation; source analysis; source imaging
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MDPI and ACS Style

Mattioli, P.; Cleeren, E.; Hadady, L.; Cossu, A.; Cloppenborg, T.; Arnaldi, D.; Beniczky, S. Electric Source Imaging in Presurgical Evaluation of Epilepsy: An Inter-Analyser Agreement Study. Diagnostics 2022, 12, 2303. https://doi.org/10.3390/diagnostics12102303

AMA Style

Mattioli P, Cleeren E, Hadady L, Cossu A, Cloppenborg T, Arnaldi D, Beniczky S. Electric Source Imaging in Presurgical Evaluation of Epilepsy: An Inter-Analyser Agreement Study. Diagnostics. 2022; 12(10):2303. https://doi.org/10.3390/diagnostics12102303

Chicago/Turabian Style

Mattioli, Pietro, Evy Cleeren, Levente Hadady, Alberto Cossu, Thomas Cloppenborg, Dario Arnaldi, and Sándor Beniczky. 2022. "Electric Source Imaging in Presurgical Evaluation of Epilepsy: An Inter-Analyser Agreement Study" Diagnostics 12, no. 10: 2303. https://doi.org/10.3390/diagnostics12102303

APA Style

Mattioli, P., Cleeren, E., Hadady, L., Cossu, A., Cloppenborg, T., Arnaldi, D., & Beniczky, S. (2022). Electric Source Imaging in Presurgical Evaluation of Epilepsy: An Inter-Analyser Agreement Study. Diagnostics, 12(10), 2303. https://doi.org/10.3390/diagnostics12102303

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