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Measuring the electrophysiological effects of direct electrical stimulation after awake brain surgery

Marion Vincent 1 François Bonnetblanc 1 Emmanuel Mandonnet 2 Anthony Boyer 1 Hugues Duffau 3 David Guiraud 1
1 CAMIN - Control of Artificial Movement and Intuitive Neuroprosthesis
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Objective: Direct electrical stimulation (DES) at 60 Hz is used to perform real-time functional mapping of the brain, and guide tumour resection during awake neurosurgery. Nonetheless, the electrophysiological effects of DES remain largely unknown, both locally and remotely. Approach: In this study, we lowered the DES frequency to 1-10 Hz and we used a differential recording mode of electro-corticographic (ECoG) signals to improve the focality with a simple algorithm to remove the artefacts due to the response of the acquisition chain. Main results: Doing so, we were able to observe different components in the evoked potentials triggered by simulating the cortex or the subcortical white matter pathways near the recording electrodes and by stimulating the cortex remotely from the recording site. More particularly, P0 and N1 components were repeatedly observed on raw ECoG signals without the need to average the data. Significance: This new methodology is important to probe the electrophysiological states and the connectivity of the brain in vivo and in real time, namely to perform electrophysiological brain mapping on human patients operated in the neurosurgical room and to better understand the electrophysiological spreading of DES.
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Contributor : David Guiraud <>
Submitted on : Tuesday, December 3, 2019 - 10:09:16 AM
Last modification on : Wednesday, June 9, 2021 - 4:02:06 PM



Marion Vincent, François Bonnetblanc, Emmanuel Mandonnet, Anthony Boyer, Hugues Duffau, et al.. Measuring the electrophysiological effects of direct electrical stimulation after awake brain surgery. Journal of Neural Engineering, IOP Publishing, 2020, 17 (1), pp.#016047. ⟨10.1088/1741-2552/ab5cdd⟩. ⟨lirmm-02390467⟩



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