Biophysical modeling of the electric field magnitude and distribution induced by electrical stimulation with intracerebral electrodes.

SEEG electric field electrical stimulation epilepsy finite element models

Journal

Biomedical physics & engineering express
ISSN: 2057-1976
Titre abrégé: Biomed Phys Eng Express
Pays: England
ID NLM: 101675002

Informations de publication

Date de publication:
02 06 2023
Historique:
received: 30 01 2023
accepted: 09 05 2023
medline: 5 6 2023
pubmed: 10 5 2023
entrez: 9 5 2023
Statut: epublish

Résumé

Intracranial electrodes are used clinically for diagnostic or therapeutic purposes, notably in drug-refractory epilepsy (DRE) among others. Visualization and quantification of the energy delivered through such electrodes is key to understanding how the resulting electric fields modulate neuronal excitability, i.e. the ratio between excitation and inhibition. Quantifying the electric field induced by electrical stimulation in a patient-specific manner is challenging, because these electric fields depend on a number of factors: electrode trajectory with respect to folded brain anatomy, biophysical (electrical conductivity / permittivity) properties of brain tissue and stimulation parameters such as electrode contacts position and intensity. Here, we aimed to evaluate various biophysical models for characterizing the electric fields induced by electrical stimulation in DRE patients undergoing stereoelectroencephalography (SEEG) recordings in the context of pre-surgical evaluation. This stimulation was performed with multiple-contact intracranial electrodes used in routine clinical practice. We introduced realistic 3D models of electrode geometry and trajectory in the neocortex. For the electrodes, we compared point (0D) and line (1D) sources approximations. For brain tissue, we considered three configurations of increasing complexity: a 6-layer spherical model, a toy model with a sulcus representation, replicating results from previous approaches; and went beyond the state-of-the-art by using a realistic head model geometry. Electrode geometry influenced the electric field distribution at close distances (∼3 mm) from the electrode axis. For larger distances, the volume conductor geometry and electrical conductivity dominated electric field distribution. These results are the first step towards accurate and computationally tractable patient-specific models of electric fields induced by neuromodulation and neurostimulation procedures.

Identifiants

pubmed: 37160106
doi: 10.1088/2057-1976/acd385
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 IOP Publishing Ltd.

Auteurs

Fabiola Alonso (F)

Univ Rennes, INSERM, LTSI-U1099, F-35000, Rennes, France.

Borja Mercadal (B)

Neuroelectrics Barcelona, Barcelona, Spain.

Ricardo Salvador (R)

Neuroelectrics Barcelona, Barcelona, Spain.

Giulio Ruffini (G)

Neuroelectrics Barcelona, Barcelona, Spain.

Fabrice Bartolomei (F)

Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.

Fabrice Wendling (F)

Univ Rennes, INSERM, LTSI-U1099, F-35000, Rennes, France.

Julien Modolo (J)

Univ Rennes, INSERM, LTSI-U1099, F-35000, Rennes, France.

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