Modification of brain conductivity in human focal epilepsy: A model‐based estimation from stereoelectroencephalography

Author:

Lagarde Stanislas123ORCID,Modolo Julien4ORCID,Yochum Maxime4ORCID,Carvallo Andres4,Ballabeni Alice15,Scavarda Didier26ORCID,Carron Romain27ORCID,Villeneuve Nathalie8,Bartolomei Fabrice12ORCID,Wendling Fabrice4ORCID

Affiliation:

1. Epileptology and Cerebral Rhythmology Department (member of the ERN EpiCARE Network) APHM, Timone Hospital Marseille France

2. INS, Institut de Neurosciences des Systèmes Aix Marseille University, INSERM Marseille France

3. University Hospitals (HUG) and University of Geneva (UNIGE) Geneva Switzerland

4. LTSI – U1099 University of Rennes, INSERM Rennes France

5. University of Modena and Reggio‐Emilia Modena Italy

6. Pediatric Neurosurgery Department APHM, Timone Hospital Marseille France

7. Stereotactic and Functional Neurosurgery Department APHM, Timone Hospital Marseille France

8. Pediatric Neurology Department APHM, Timone Hospital Marseille France

Abstract

AbstractObjectiveWe have developed a novel method for estimating brain tissue electrical conductivity using low‐intensity pulse stereoelectroencephalography (SEEG) stimulation coupled with biophysical modeling. We evaluated the hypothesis that brain conductivity is correlated with the degree of epileptogenicity in patients with drug‐resistant focal epilepsy.MethodsWe used bipolar low‐intensity biphasic pulse stimulation (.2 mA) followed by a postprocessing pipeline for estimating brain conductivity. This processing is based on biophysical modeling of the electrical potential induced in brain tissue between the stimulated contacts in response to pulse stimulation. We estimated the degree of epileptogenicity using a semi‐automatic method quantifying the dynamic of fast discharge at seizure onset: the epileptogenicity index (EI). We also investigated how the location of stimulation within specific anatomical brain regions or within lesional tissue impacts brain conductivity.ResultsWe performed 1034 stimulations of 511 bipolar channels in 16 patients. We found that brain conductivity was lower in the epileptogenic zone (EZ; unpaired median difference = .064, p < .001) and inversely correlated with the epileptogenic index value (p < .001, Spearman rho = −.32). Conductivity values were also influenced by anatomical site, location within lesion, and delay between SEEG electrode implantation and stimulation, and had significant interpatient variability. Mixed model multivariate analysis showed that conductivity is significantly associated with EI (F = 13.45, p < .001), anatomical regions (F = 5.586, p < .001), delay since implantation (F = 14.71, p = .003), and age at SEEG (F = 6.591, p = .027), but not with the type of lesion (F = .372, p = .773) or the delay since last seizure (F = 1.592, p = .235).SignificanceWe provide a novel model‐based method for estimating brain conductivity from SEEG low‐intensity pulse stimulations. The brain tissue conductivity is lower in EZ as compared to non‐EZ. Conductivity also varies significantly across anatomical brain regions. Involved pathophysiological processes may include changes in the extracellular space (especially volume or tortuosity) in epileptic tissue.

Funder

H2020 European Research Council

Publisher

Wiley

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