Multiplexed Surface Electrode Arrays Based on Metal Oxide Thin‐Film Electronics for High‐Resolution Cortical Mapping

Author:

Londoño‐Ramírez Horacio1234ORCID,Huang Xiaohua35ORCID,Cools Jordi234ORCID,Chrzanowska Anna246ORCID,Brunner Clément124ORCID,Ballini Marco3ORCID,Hoffman Luis23ORCID,Steudel Soeren3ORCID,Rolin Cédric3ORCID,Mora Lopez Carolina3ORCID,Genoe Jan5ORCID,Haesler Sebastian124ORCID

Affiliation:

1. Department of Neuroscience, Leuven Brain Institute Katholieke Universiteit (KU) Leuven Leuven 3001 Belgium

2. Neuroelectronics Research Flanders (NERF) Leuven 3001 Belgium

3. imec Leuven 3001 Belgium

4. Flanders Institute for Biotechnology (VIB) Gent 9052 Belgium

5. Department of Electrical Engineering (ESAT) Katholieke Universiteit (KU) Leuven Leuven 3001 Belgium

6. Department of Biology Katholieke Universiteit (KU) Leuven Leuven 3001 Belgium

Abstract

AbstractElectrode grids are used in neuroscience research and clinical practice to record electrical activity from the surface of the brain. However, existing passive electrocorticography (ECoG) technologies are unable to offer both high spatial resolution and wide cortical coverage, while ensuring a compact acquisition system. The electrode count and density are restricted by the fact that each electrode must be individually wired. This work presents an active micro‐electrocorticography (µECoG) implant that tackles this limitation by incorporating metal oxide thin‐film transistors (TFTs) into a flexible electrode array, allowing to address multiple electrodes through a single shared readout line. By combining the array with an incremental‐ΔΣ readout integrated circuit (ROIC), the system is capable of recording from up to 256 electrodes virtually simultaneously, thanks to the implemented 16:1 time‐division multiplexing scheme, offering lower noise levels than existing active µECoG arrays. In vivo validation is demonstrated acutely in mice by recording spontaneous activity and somatosensory evoked potentials over a cortical surface of ≈8×8 mm2. The proposed neural interface overcomes the wiring bottleneck limiting ECoG arrays, holding promise as a powerful tool for improved mapping of the cerebral cortex and as an enabling technology for future brain‐machine interfaces.

Funder

Fonds Wetenschappelijk Onderzoek

KU Leuven

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)

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