Consistency of electrical source imaging in presurgical evaluation of epilepsy across different vigilance states.


Journal

Annals of clinical and translational neurology
ISSN: 2328-9503
Titre abrégé: Ann Clin Transl Neurol
Pays: United States
ID NLM: 101623278

Informations de publication

Date de publication:
12 Jan 2024
Historique:
revised: 24 10 2023
received: 14 08 2023
accepted: 18 11 2023
medline: 13 1 2024
pubmed: 13 1 2024
entrez: 13 1 2024
Statut: aheadofprint

Résumé

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

Identifiants

pubmed: 38217279
doi: 10.1002/acn3.51959
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : CIHR
ID : PJT 159948
Pays : Canada
Organisme : CIHR
ID : PJT-175056
Pays : Canada

Informations de copyright

© 2023 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.

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Auteurs

Tamir Avigdor (T)

Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Canada.

Chifaou Abdallah (C)

Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Canada.

Jawata Afnan (J)

Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Canada.

Zhengchen Cai (Z)

Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.

Saba Rammal (S)

Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.

Christophe Grova (C)

Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Canada.
Multimodal Functional Imaging Lab, PERFORM Centre, Department of Physics, Concordia University, Montreal, Quebec, Canada.

Birgit Frauscher (B)

Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Department of Neurology, Duke University Medical Center, Durham, North Carolina, USA.
Department of Biomedical Engineering, Duke Pratt School of Engineering, Durham, North Carolina, USA.

Classifications MeSH