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. 2024 Jun;65(6):1744-1755.
doi: 10.1111/epi.17957. Epub 2024 Mar 16.

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

Stanislas Lagarde  1   2   3 , Julien Modolo  4 , Maxime Yochum  4 , Andres Carvallo  4 , Alice Ballabeni  1   5 , Didier Scavarda  2   6 , Romain Carron  2   7 , Nathalie Villeneuve  8 , Fabrice Bartolomei  1   2 , Fabrice Wendling  4
Affiliations

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

Stanislas Lagarde et al. Epilepsia. 2024 Jun.

Abstract

Objective: We 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.

Methods: We 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.

Results: We 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).

Significance: We 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.

Keywords: SEEG; conductivity; drug‐resistant epilepsy; epilepsy surgery; focal epilepsy; stimulation.

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References

REFERENCES

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    1. Trebuchon A, Racila R, Cardinale F, Lagarde S, McGonigal A, Lo Russo G, et al. Electrical stimulation for seizure induction during SEEG exploration: a useful predictor of postoperative seizure recurrence? J Neurol Neurosurg Psychiatry. 2021;92(1):22–26.
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