Sensing local field potentials with a directional and scalable depth electrode array

Author:

Abrego Amada MORCID,Khan Wasif,Wright Christopher E,Islam M Rabiul,Ghajar Mohammad H,Bai XiaokangORCID,Tandon NitinORCID,Seymour John PORCID

Abstract

Abstract Objective. A variety of electrophysiology tools are available to the neurosurgeon for diagnosis, functional therapy, and neural prosthetics. However, no tool can currently address these three critical needs: (a) access to all cortical regions in a minimally invasive manner; (b) recordings with microscale, mesoscale, and macroscale resolutions simultaneously; and (c) access to spatially distant multiple brain regions that constitute distributed cognitive networks. Approach. We modeled, designed, and demonstrated a novel device for recording local field potentials (LFPs) with the form factor of a stereo-electroencephalographic electrode and combined with radially distributed microelectrodes. Main results. Electro-quasistatic models demonstrate that the lead body amplifies and shields LFP sources based on direction, enabling di rectional sensitivity and sc alability, referred to as the directional and scalable (DISC) array. In vivo, DISC demonstrated significantly improved signal-to-noise ratio, directional sensitivity, and decoding accuracy from rat barrel cortex recordings during whisker stimulation. Critical for future translation, DISC demonstrated a higher signal to noise ratio (SNR) than virtual ring electrodes and a noise floor approaching that of large ring electrodes in an unshielded environment after common average referencing. DISC also revealed independent, stereoscopic current source density measures whose direction was verified after histology. Significance. Directional sensitivity of LFPs may significantly improve brain–computer interfaces and many diagnostic procedures, including epilepsy foci detection and deep brain targeting.

Funder

Texas Institute of Restorative Neurotechnologies

Rice University

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

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