Innovative Neurophysiological Biomarkers for Epilepsy Surgery

In this project, we plan to conduct a clinical study of patients with pharmacoresistant epilepsy who undergo preoperative implantation of intracranial EEG (iEEG) for optimal planning of a surgical operation. Data on the neuronal activity of patients participating in the study will first be obtained using magnetoencephalography (MEG), then similar data will be obtained using the iEEG in the intensive monitoring unit. The localization of the epileptogenic zone will be based on the use of two innovative neurophysiological biomarkers for MEG / iEEG data: high-frequency oscillations (Fedele et al., 2017, Jacobs et al., 2018; Zijlmans et al., 2017) and an analysis of the functional connectivity of brain regions (Bartolomei et al., 2017; Lagarde et al., 2018; Sinha et al., 2017). The results of our analysis will be informative for clinical evaluation in each individual patient (Vakharia et al., 2018). Thus, based on the collection of a unique set of MEG / EEG data, this clinically oriented project, in turn, will contribute to the improvement of surgical intervention in epilepsy.

1. Bartolomei F, Lagarde S, Wendling F, McGonigal A, Jirsa V, Guye M, et al. Defining epileptogenic networks: contribution of SEEG and signal analysis. Epilepsia 2017; 58: 1131–47
2. Fedele T, Burnos S, Boran E, Krayenbühl N, Hilfiker P, Grunwald T, Sarnthein J (2017) Resection of high frequency oscillations predicts seizure outcome in the individual patient. Sci Rep 7.
3. Lagarde S, Roehri N, Lambert I, Trebuchon A, McGonigal A, Carron R, Scavarda D, Milh M, Pizzo F, Colombet B, Giusiano B, Medina Villalon S, Guye M, Bénar C-G, Bartolomei F (2018) Interictal stereotactic-EEG functional connectivity in refractory focal epilepsies. Brain:1–15.
4. N. Van Klink, A. Hillebrand, M. Zijlmans, Identification of epileptic high frequency oscillations in the time domain by using MEG beamformer-based virtual sensors Clin. Neurophysiol., 127 (2016), pp. 197-208

Project Leader - Tommaso Fedele.