Development of a Seizure Matching System for Clinical Decision Making in Epilepsy Surgery DOI Open Access
John Thomas, Chifaou Abdallah,

Kassem Jaber

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 22, 2024

Abstract Background and Objectives The proportion of patients becoming seizure-free after epilepsy surgery has stagnated. Large multi-center stereo-electroencephalography datasets can potentially allow comparing a new patient to past similar cases make clinical decisions with the knowledge how were treated in past. However, complexity these evaluations makes manual search for large database impractical. We aim develop an automated system that electrographically anatomically matches seizures from those database. In addition, since we do not know what features define seizure similarity, particularly considering various implantation schemes, evaluate agreement among experts classifying similarity. Methods utilized SEEG consecutive who underwent surgery. Eight international evaluated seizure-pair similarity using four-level score through graphical user interface. As our primary outcome, developed validated matching by employing leave-one-expert-out approach. Secondary outcomes included inter-rater Results 320 95 utilized. achieved area-under-the-curve 0.82 (95% CI, 0.819-0.822), indicating its feasibility. Six distinct identified proved effective: onset region, pattern, propagation duration, extent spread, speed. Among features, region showed strongest correlation expert scores (Spearman’s rho=0.75, p <0.001). Additionally, moderate confirmed practicality approach: classification, median was 73.9% (interquartile range, 7%), beyond-chance Gwet’s kappa 0.45 (0.16); binary classification vs. related, stood at 71.9% (4.7%) 0.46 (0.13). Discussion demonstrate feasibility validity across patients, effectively mirroring expertise epileptologists. This novel identify being evaluated, thus optimizing treatment plan results treating past, resulting improved outcome.

Language: Английский

Consistency of electrical source imaging in presurgical evaluation of epilepsy across different vigilance states DOI Creative Commons
Tamir Avigdor, Chifaou Abdallah, Jawata Afnan

et al.

Annals of Clinical and Translational Neurology, Journal Year: 2024, Volume and Issue: 11(2), P. 389 - 403

Published: Jan. 12, 2024

Abstract Objective The use of electrical source imaging (ESI) in assessing the interictal epileptic discharges (IEDs) is gaining increasing popularity presurgical work‐up patients with drug‐resistant focal epilepsy. While vigilance affects ability to locate IEDs and identify epileptogenic zone, we know little about its impact on ESI. Methods We studied overnight high‐density electroencephalography recordings were marked visually each state, examined sensor space. ESIs calculated compared between all states clinical ground truth. Two conditions considered within an unequalized equalized number IEDs. Results number, amplitude, duration affected by N3 sleep presenting highest for both ( P < 0.001), while signal‐to‐noise ratio only differed condition 0.001). state did not affect channel involvement > 0.05). ESI maps showed no differences distance, quality, extent, or maxima distances truth Only when absolute reference (wakefulness) was used, 0.05) extent 0.01) impacted during rapid‐eye‐movement (REM) sleep. Clustering amplitude‐sensitive ‐insensitive pointed amplitude rather than spatial profile as driver Interpretation IED results are stable across states, including REM sleep, if controlled number. thus invariant state.

Language: Английский

Citations

5
Learn how to interpret and use intracranial EEG findings DOI Creative Commons
Birgit Frauscher, Daniel Mansilla, Chifaou Abdallah

et al.

Epileptic Disorders, Journal Year: 2023, Volume and Issue: 26(1), P. 1 - 59

Published: Dec. 20, 2023

Abstract Epilepsy surgery is the therapy of choice for many patients with drug‐resistant focal epilepsy. Recognizing and describing ictal interictal patterns intracranial electroencephalography (EEG) recordings important in order to most efficiently leverage advantages this technique accurately delineate seizure‐onset zone before undergoing surgery. In seminar epileptology, we address learning objective “1.4.11 Recognize describe recordings” International League against curriculum epileptologists. We will review principal considerations implantation planning, summarize literature relevant EEG within beyond Berger frequency spectrum, invasive stimulation seizure functional mapping, discuss caveats interpretation findings, provide an overview on special children subdural grids/strips, available quantitative/signal analysis approaches. To be as practically oriented possible, a mini atlas frequent patterns, highlight pearls its not infrequently challenging interpretation, conclude two illustrative case examples. This article shall serve useful resource trainees clinical neurophysiology/epileptology by providing basic understanding concepts EEG.

Language: Английский

Citations

11
Mechanistic insights into the interaction between epilepsy and sleep DOI
Laurent Sheybani, Birgit Frauscher, Christophe Bernard

et al.

Nature Reviews Neurology, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

Language: Английский

Citations

0
Development of a stereo-EEG based seizure matching system for clinical decision making in epilepsy surgery DOI Creative Commons
John Thomas, Chifaou Abdallah,

Kassem Jaber

et al.

Journal of Neural Engineering, Journal Year: 2024, Volume and Issue: 21(5), P. 056025 - 056025

Published: Aug. 23, 2024

The proportion of patients becoming seizure-free after epilepsy surgery has stagnated. Large multi-center stereo-electroencephalography (SEEG) datasets can allow comparing new to past similar cases and making clinical decisions with the knowledge how were treated in past. However, complexity these evaluations makes manual search for impractical. We aim develop an automated system that electrographically anatomically matches seizures those a database. Additionally, since features define seizure similarity are unknown, we evaluate agreement among experts classifying similarity.

Language: Английский

Citations

1
Development of a Seizure Matching System for Clinical Decision Making in Epilepsy Surgery DOI Open Access
John Thomas, Chifaou Abdallah,

Kassem Jaber

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 22, 2024

Abstract Background and Objectives The proportion of patients becoming seizure-free after epilepsy surgery has stagnated. Large multi-center stereo-electroencephalography datasets can potentially allow comparing a new patient to past similar cases make clinical decisions with the knowledge how were treated in past. However, complexity these evaluations makes manual search for large database impractical. We aim develop an automated system that electrographically anatomically matches seizures from those database. In addition, since we do not know what features define seizure similarity, particularly considering various implantation schemes, evaluate agreement among experts classifying similarity. Methods utilized SEEG consecutive who underwent surgery. Eight international evaluated seizure-pair similarity using four-level score through graphical user interface. As our primary outcome, developed validated matching by employing leave-one-expert-out approach. Secondary outcomes included inter-rater Results 320 95 utilized. achieved area-under-the-curve 0.82 (95% CI, 0.819-0.822), indicating its feasibility. Six distinct identified proved effective: onset region, pattern, propagation duration, extent spread, speed. Among features, region showed strongest correlation expert scores (Spearman’s rho=0.75, p <0.001). Additionally, moderate confirmed practicality approach: classification, median was 73.9% (interquartile range, 7%), beyond-chance Gwet’s kappa 0.45 (0.16); binary classification vs. related, stood at 71.9% (4.7%) 0.46 (0.13). Discussion demonstrate feasibility validity across patients, effectively mirroring expertise epileptologists. This novel identify being evaluated, thus optimizing treatment plan results treating past, resulting improved outcome.

Language: Английский

Citations

0